#ssa datasets

[namesnums]

SSA datasets & caveats

Datasets from the United States Social Security Administration are available on SSA.gov.

- Beyond the Top 1000 Names: national, state-level, and territory-level data ^ Some important background and limitations

- Number of Social Security card applicants by year

- Actuarial Tables

[mariacallous]

At least 10 people associated with Elon Musk’s so-called Department of Government Efficiency (DOGE) are now working at the Social Security Administration, according to government records reviewed by WIRED; this includes a number of young engineers whose presence at the SSA has not been reported. The ballooning of DOGE’s presence at the federal agency—which Bloomberg, citing sworn statements filed in federal court Wednesday, previously reported—comes as Musk and his cohorts are publicly threatening social security benefits, citing unsubstantiated claims of mass fraud.

The DOGE-affiliated personnel in question are currently listed in the agency’s internal organizational chart. Background checks for two are still pending, according to a filing by the SSA in federal court in Maryland opposing a motion for a temporary restraining order filed by unions that would prevent DOGE from accessing SSA records. (A sworn statement attached to the filing from the SSA’s deputy commissioner of human resources claims that six of the background checks are still pending.)

The operatives—whom the government did not name in its filing—are, according to internal documents, Akash Bobba, Scott Coulter, Marko Elez, Luke Farritor, Antonio Gracias, Gautier Cole Killian, Jon Koval, Nikhil Rajpal, Payton Rehling, and Ethan Shaotran. This team appears to be among the largest DOGE units deployed to any government agency.

Ten of the DOGE-affiliated staffers are listed as part of the same group within Microsoft Teams, which SSA employees use for internal communication, according to a screenshot shared with WIRED. They are listed as “IT Specialists” based at the agency’s headquarters in Washington, DC, except for Bobba, who is listed as “Front Office” in the office of the chief information officer (CIO).

Many of them have worked or interned at Musk companies such as Tesla and Space X, and the majority of them have also appeared at other government agencies in recent weeks, as part of DOGE’s incursion into the government. Musk has made wild claims about the social security system, calling it a “Ponzi scheme” and falsely claiming that millions of 150-year-olds were fraudulently collecting benefits.

According to the SSA court filing and accompanying sworn statements, seven of them have read-only access to several datasets including the Master Beneficiary Record, which contains detailed information about individuals and their benefits. Those same DOGE representatives also have read-only access to Numident, a database containing information about everyone who’s ever applied for a Social Security number, as well as data referred to as “Treasury Payment Files Showing SSA Payments from SSOARS.” (The Social Security Online Accounting and Reporting System is a set of systems containing “information on the SSA’s financial position and operations,” according to the SSA.)

These records contain a great deal of personally identifying and financial information; in filings the government says DOGE accessing them is necessary to “detect fraud.”

While it’s been unclear even to well-placed insiders what specifically DOGE is doing inside the Social Security Administration, Musk has repeatedly voiced his desire to “eliminate” large parts of the system in the US, recently claiming that the fact that there are more Social Security numbers than there are US citizens—a well-known quirk of the SSA system—“might be the biggest fraud in history.”

Sources have told WIRED that one of the tasks the DOGE cohort will be assigned is how people identify themselves to access their benefit payments. Experts with decades of experience at the agency are now worried that DOGE operatives working across multiple agencies increases the risk of SSA data being shared outside of the agency or that their inexperience will lead to them breaking systems entirely.

In the SSA filing, lawyers for the agency claim that the DOGE operatives have “no access to SSA production automation, code, or configuration files.” A previous sworn statement from Tiffany Flick, the agency’s former acting chief of staff, claims that its CIO, Michael Russo, was DOGE-aligned and demanded that Bobba be given access to “everything, including source code.”

Last month, President Donald Trump’s administration appointed Russo as the SSA’s new CIO, despite his having no apparent previous government experience. Russo came to DOGE from payments company Shift4, which was founded by Jared Isaacman, Trump’s nominee to run NASA. The office of the CIO works on “implementation of a comprehensive systems configuration management, database management and data administration program,” according to the agency’s own website, and is responsible for strategic planning.

According to an affidavit filed on Friday as part of a lawsuit designed to halt what the suit called DOGE’s “unprecedented” seizure of SSA data, Flick outlined how she tried to educate Russo on how information at SSA is handled and the measures in place to prevent fraud.

“Mr Russo seemed completely focused on questions … based on the general myth of supposed widespread social security fraud, rather than facts,” Flick said, adding that Russo was unwilling to understand SSA’s complex systems and instead seemed fixated on conspiracy theories about fraud within the system, such as Musk’s claim that millions of 150-year-olds were receiving benefit payments. Flick also wrote that she was “not confident” that DOGE operatives had “the requisite knowledge and training to prevent sensitive information from being inadvertently transferred to bad actors.”

Flick’s affidavit named Coulter and Bobba as two of the DOGE associates joining SSA, alongside Russo. Coulter was a New York–based hedge fund manager whose fund, Cowbird Capital, was shuttered last year, according to Business Insider. (Coulter appears to be the DOGE lead at SSA. While the affidavit from the deputy commissioner of human resources doesn’t name him, it does identify the lead as a worker detailed from NASA, and Coulter is the only one of the 10 DOGE workers listed in internal NASA records reviewed by WIRED.)

Gracias, another private equity figure who is now part of the DOGE team at SSA, is the founder of Valor Equity Partners. Men named Jon Koval and Payton Rehling are listed on Valor's website as a vice president and a data engineer, respectively.

Gracias, Koval, and Rehling don’t seem to have any prior government experience, but Gracias does have a long history with Musk—he worked at Tesla for 14 years as a company director and helped Musk take the company public. Gracias spent time with Musk at Mar-a-Lago ahead of Trump’s inauguration and later described their conversations about how they believed the government functioned, on the All In podcast. (��It's broken now. And so literally, money is flowing out,” went one confusing Gracias claim, about how money is moving from the Treasury department to other agencies.) Later, Gracias mentioned ​​the SSA. “The only audit that I've seen is actually from the Social Security Administration. When you read it, I've got one of the partners who have read the thing, it's just riddled with material weaknesses.”

Many of the other DOGE names listed in SSA’s internal records have previously been reported by WIRED as young, inexperienced technologists working at other government agencies.

Individuals having access to the records of multiple agencies is highly unusual and problematic, experts say. “Federal law places strict controls on personal data held by agencies, including limits on cross-agency transfers and rigorous training requirements for personnel who have a legitimate need for access,” says John Davisson, the director of litigation at the Electronic Privacy Information Center. “Ignoring those safeguards and haphazardly putting systems at multiple agencies under the thumb of a single engineer obliterates those protections. They’re hotwiring the federal government with a total disregard for privacy and data security.”

Bobba, a former Palantir intern and recent UC Berkeley graduate, was first appointed to the Office of Personnel Management (OPM) before moving to the General Services Administration (GSA). According to Flick’s testimony, “There were challenges with Mr. Bobba’s background check that took a few days to resolve.” Flick did not expand on what those issues were but stated that Bobba was eventually granted access to sensitive SSA systems after Russo and Musk lieutenant Steve Davis directly pressured top SSA administrators. The acting commissioner was ultimately replaced by Leland Dudek, a mid-level staffer who was, Flick asserted, on leave after having communicated with DOGE outside normal channels—something he later bragged about in a LinkedIn post.

Farritor, a 23-year-old former Thiel Fellow and Space X intern who helped to recruit other young engineers to join DOGE on a Discord group for SpaceX interns, has also appeared internally at the GSA, the Department of Health and Human Services, the United States Agency for International Development (USAID), the Centers for Disease Control and Prevention, the Centers for Medicare & Medicaid Services, the Department of Energy, and the Department of Education.

Rajpal, a former Twitter and Tesla employee, now at the SSA, has also appeared at the National Oceanic and Atmospheric Administration, OPM, and the Consumer Financial Protection Bureau.

WIRED previously reported that Elez, a 25-year-old engineer also on the SSA list, at one point had read and write access within the federal payment system at the Treasury Department. He was also deployed at Customs and Border Protection, Immigration and Customs Enforcement, and the Department of Homeland Security, according to The New York Times. Elez briefly resigned from DOGE after racist comments posted by an account he was linked to were discovered by The Wall Street Journal, but returned after Musk and Vice President JD Vance posted in defense of him on X.

Shaotran, another young DOGE employee, is a 22-year-old Harvard student and a runner-up at an xAI hackathon. (xAI is Musk’s artificial intelligence company.) He has been deployed at GSA and the Department of Education and was recently onboarded at the Department of Housing and Urban Development, according to internal documentation.

Killian is a 24-year-old former computer science student who matriculated at McGill University and has been part of DOGE’s work at the Environmental Protectin Agency and GSA, as well as the SSA.

The SSA did not respond to a request from WIRED about what the DOGE operatives are working on inside the agency.

In a Tuesday meeting, United States DOGE Service administrator Amy Gleason told staff that Musk-affiliated engineers and some legacy USDS workers would be headed to SSA to improve “identity proofing,” say sources who were in the meeting. The US DOGE Service is a permanent rebranding of the US Digital Service. Identity proofing is the process SSA uses to identify that users are who they say they are in order to access their benefits. The process includes registering with identity apps such as the government’s own Login.gov or third-party services such as ID.me.

At a meeting last week, according to The Washington Post, Dudek, the SSA’s acting commissioner, told staff that the “DOGE people” were effectively in charge of day-to-day operations at the agency and “were going to make mistakes.” He also made it clear that he had been in direct contact with the White House.

“I work for the president,” Dudek said, according to a longer recording of the meeting obtained by ProPublica. ”I need to do what the president tells me to do. I’ve had to make some tough choices, choices I didn’t agree with, but the president wanted it, and I did it.”

In February, Dudek outlined plans to fire 7,000 employees at the SSA and close more than half of the agency’s regional offices, while confirming that many of the SSA’s most senior staff were departing. This week, the agency reportedly gave up on the idea of fully abandoning phone service for clients after The Washington Post reported on the plan.

The SSA houses a highly complex system built on decades-old technology and contains some of the most sensitive personal information held anywhere within the US government. The threat posed by DOGE engineers making mistakes within these systems, experts say, is huge.

Martin O’Malley, a former SSA commissioner, warned last week, following DOGE’s incursion, that within months the SSA system could ”collapse” and recipients would see “an interruption of benefits." This warning was repeated by Flick, who wrote in her affidavit that DOGE’s lack of knowledge of the SSA systems, “combined with the significant loss of expertise as more and more agency personnel leave, have me seriously concerned that SSA programs will continue to function and operate without disruption.”

“It’s a valid fear that personally identifiable information will be exfiltrated or source code messed with without necessary controls and rigor,” John McGing, a former SSA employee who worked at the agency for almost four decades, tells WIRED.

Additionally, DOGE has imposed a $1 spending limit on federal credit cards, which has led to some regional SSA offices experiencing issues buying basic supplies, including paper and toner, according to details shared with WIRED by one SSA employee.

“We have started rationing paper,” the source says. “People like to ask for four copies of their benefit verification letter. We’ve been giving them one and telling them to make their own copies.”

The provision of sign language interpreters for appointments at the SSA have also been interrupted due to the $1 spending limit. “We have to go back to that client and tell them we can’t provide an interpreter, even though everything on our website says we will provide that,” the source said, citing an incident that happened this week.

SSA staff are also now unable to order death certificates, which are used to verify whether someone within the system is dead or not, according to an email reviewed by WIRED.

The source added that the office is also unable to pay the company that shreds mountains of documents it prints out on a daily basis, raising fears that piles of paper with highly sensitive personally identifiable information could soon be left lying around the office.

[moontyger]

Operatives from Elon Musk’s so-called Department of Government Efficiency (DOGE) are building a master database at the Department of Homeland Security (DHS) that could track and surveil undocumented immigrants, two sources with direct knowledge tell WIRED.

DOGE is knitting together immigration databases from across DHS and uploading data from outside agencies including the Social Security Administration (SSA), as well as voting records, sources say. This, experts tell WIRED, could create a system that could later be searched to identify and surveil immigrants.

The scale at which DOGE is seeking to interconnect data, including sensitive biometric data, has never been done before, raising alarms with experts who fear it may lead to disastrous privacy violations for citizens, certified foreign workers, and undocumented immigrants.

A United States Customs and Immigration Services (USCIS) data lake, or centralized repository, existed at DHS prior to DOGE that included data related to immigration cases, like requests for benefits, supporting evidence in immigration cases, and whether an application has been received and is pending, approved, or denied. Since at least mid-March, however, DOGE has been uploading mass amounts of data to this preexisting USCIS data lake, including data from the Internal Revenue Service (IRS), SSA, and voting data from Pennsylvania and Florida, two DHS sources with direct knowledge tell WIRED.

“They are trying to amass a huge amount of data,” a senior DHS official tells WIRED. “It has nothing to do with finding fraud or wasteful spending … They are already cross-referencing immigration with SSA and IRS as well as voter data.”

Since president Donald Trump’s return to the White House earlier this year, WIRED and other outlets have reported extensively on DOGE’s attempts to gain unprecedented access to government data, but until recently little has been publicly known about the purpose of such requests or how they would be processed. Reporting from The New York Times and The Washington Post has made clear that one aim is to cross-reference datasets and leverage access to sensitive SSA systems to effectively cut immigrants off from participating in the economy, which the administration hopes would force them to leave the county. The scope of DOGE’s efforts to support the Trump administration’s immigration crackdown appear to be far broader than this, though. Among other things, it seems to involve centralizing immigrant-related data from across the government to surveil, geolocate, and track targeted immigrants in near real time.

[meret118]

By design, the details of how "freedom cities" would be established are laden with legalese like "federal enclaves with special economic and jurisdictional zones" or "interstate compacts." In practice, the plan is straightforward. Advocates want the federal government to set aside land to build cities exempt from federal and state laws. Instead, the cities would function as mini-dictatorships, where the CEO of each town runs everything, and the people who live and work there are subject to the boss's whims. It would be like being an employee of a controlling company, except you don't clock out at the end of the day or have a life — or rights — outside of what the boss allows you.

Along the way, DOGE also gained access to untold terabytes of data. Trump had given Musk and his operatives carte blanche to tap any unclassified system they pleased. One of their first stops: a database previously breached more than a decade ago by alleged Chinese cyberspies that contained investigative files on tens of millions of US government employees. Other storehouses thrown open to DOGE may have included federal workers’ tax records, biometric data, and private medical histories, such as treatment for drug and alcohol abuse; the cryptographic keys for restricted areas at federal facilities across the country; the personal testimonies of low-income-housing recipients; and granular detail on the locations of particularly vulnerable children.

What did DOGE want with this kind of information? None of it seemed relevant to Musk’s stated aim of identifying waste and fraud, multiple government finance, IT, and security specialists told WIRED. But in treating the US government itself as a giant dataset, the experts said, DOGE could help the Trump administration accomplish another goal: to gather much of what the government knows about a given individual, whether a civil servant or an undocumented immigrant, in one easily searchable place.

WIRED spoke with more than 150 current and former federal employees, experts, and Musk supporters across more than 20 agencies to expose the inner workings of DOGE. Many of these sources requested anonymity to speak candidly about what DOGE has done—and what it might do next.

-----

Excerpts under the cut:

Soon afterward, as WIRED first reported on February 4, a 25-year-old former X engineer named Marko Elez was granted the ability not only to read the code in the Treasury systems but also to write—or change—it. With that level of access, he (or anyone he reported to) could potentially have cut off congressionally authorized payments, effectively allowing Trump or Musk to exercise a line-item veto. More immediately ominous to people familiar with the systems was the possibility that, by tampering with the code, Elez could cause the systems, in whole or in part, to simply stop working. “It’s like knowing you have hackers on your network, but nobody lets you do anything about it,” a Treasury employee told WIRED.

. . .

Initially, Flick and officials from the CIO’s office determined that Bobba would be given anonymized, read-only access to records in the Numerical Identification System, which contains information on everyone who has ever applied for a Social Security number. On February 15, Bobba reported that there were issues with the dataset he’d been provided. Russo demanded that Bobba be given full access to “everything, including source code,” Flick recalled. This included the SSA’s Enterprise Data Warehouse, which contains the “names of spouses and dependents, work history, financial and banking information, immigration or citizenship status, and marital status,” according to Flick’s affidavit.

Later that day, the chief information officer for the whole federal government—a political appointee working out of the Office of Management and Budget—issued an opinion to Russo granting Bobba the access. Flick retired. In her affidavit, she expressed serious concerns about the potential for SSA records to be “inadvertently transferred to bad actors” and about “incredibly complex web of systems” being “broken by inadvertent user error.”

. . .

Later that month, DOGE imposed a $1 spending limit on federal employee credit cards. The move instantly roiled agencies from the National Park Service to the National Institutes of Health as employees scrambled to buy basic necessities to do their jobs. Yet again, DOGE’s move-fast ethos would put Americans’ personal data at risk.

At one SSA office, a manager confirmed to his staff that he could no longer pay the company that shreds sensitive documents. “We print a lot of shit daily,” one SSA employee told WIRED. “Stuff with people’s names, addresses, phone numbers, SSNs, bank accounts, you name it. We have giant locking trash bins we put it in, and we pay a shredding company to empty them every month.” With the new $1 limit, the employee said, a “stockpile” of sensitive data was growing, leaving workers with two options: “Shred it ourselves on regular office shredders—of which we have two, I think, and so it would take forever—or just sit on it while it piles up.”

[hiroin-2]

On Catherine Austin Fitts’ April 16, 2025, briefing:

She opens by defining a “digital control grid”: an AI-driven web of telecom, IDs, and programmable money that can monitor every movement, ration electricity, water, food and travel, and collapse markets into a centrally managed technocracy. Her question is whether the second Trump administration is putting that grid in place, and she answers with a detailed checklist.

First, money. Congress is pushing the GENIUS Act to lay the plumbing for a private, programmable stable-coin—basically a stealth CBDC. The White House even created an “AI & Crypto Czar,” and the new SEC chair is a former crypto lobbyist, signalling a pivot toward pro-crypto rules. Meanwhile the notorious $21 trillion in “undocumentable adjustments” at DoD and HUD still isn’t being hunted down, FASAB 56 still keeps federal ledgers dark, and nobody is talking about issuing debt-free Treasury money even though more than half of federal monthly outlays are borrowed through the New York Fed’s primary dealers. Community banking? The number of U.S. banks keeps shrinking, no one is planting new state banks, and a hinted-at FDIC “re-engineering” could centralize things further. Trump signed an executive order trumpeting “American leadership in digital financial technology.” It bans a Federal Reserve CBDC with one hand but fast-tracks stable-coins with the other. Cash is being squeezed too: minting pennies is over, and another order ends all federal checks and money orders—it’s digital payments only.

Next, digital identity. DHS Secretary Kristi Noem is marketing REAL ID as if you’ll be grounded without it—though any federal ID, including a passport, still works. TSA is rolling out facial recognition so aggressively that opting out is inconsistent, and commercial truckers now face Idemia biometrics. Many expect REAL ID to morph into a social-credit gate for federal benefits.

Data and AI form the backbone. Elon Musk’s DOGE program—Digitization Of Government Enterprise—is leaning on Xai and Palantir to privatize agency data. They’ve targeted Social Security, the IRS, and Treasury, because those datasets let you blend identity with payments for a turnkey social-credit engine. Staff layoffs at SSA offices are pushing citizens toward ID.me, an offshore identity vendor, and Musk’s savings target quietly slid from two trillion dollars to a mere $150 billion while Starlink Wi-Fi now blankets the White House, raising questions about who can eavesdrop. In parallel, the Stargate LLC project is throwing up enough hyperscale data centers to power a nationwide grid and doubling as the back-end for an “Internet of Bodies” built on personalized mRNA injections. Neuralink’s brain mesh may be redundant; injections alone deliver most of the hardware interface.

On health, the administration still lauds Operation Warp Speed. HHS Secretary Robert F. Kennedy Jr. called it an “extraordinary accomplishment,” and the CDC page posted in January—and still live in April—keeps pushing updated Covid mRNA boosters, the same tech Moderna described as an “operating system” for the body.

Telecom is being locked in too. A Senate panel advanced a nominee to control the $42 billion rural broadband fund, just as USPS proposed a 7.5 percent postage hike—forever stamps go from seventy-three to seventy-eight cents—making analog communication even less attractive.

Now assets: before the election, Commerce Secretary Howard Lutnick bragged that U.S. land and minerals are a $500 trillion “balance sheet.” Interior and HUD have created a task force to open federal lands for housing, and HUD Secretary Turner previously cut her teeth on Opportunity Zones, which shelter capital-gains taxes for investors. Simultaneously, an executive order created a “Strategic Bitcoin Reserve and Digital Asset Stockpile,” complete with an asset-forfeiture fund; critics call it a get-rich-quick play. There’s also a formal proposal for a U.S. sovereign wealth fund.

Energy is the lifeblood of any AI cloud, and data-center demand is such that Texas alone could need thirty new nuclear plants by 2030. Big Tech is openly hunting its own reactors. Trump’s day-one orders—“Unleashing Alaska’s Extraordinary Resource Potential,” “Unleashing American Energy,” and a declaration of a national energy emergency—aim to drill, mine, and frack enough fuel for the load.

The fiscal picture is paradoxical. Tariffs might bring in $3.3 trillion over a decade, but extending the 2017 tax cuts adds $4.4 trillion to the debt and another $0.8 trillion in interest, while Senate Republicans float $5.3 trillion more in cuts. The DoD already wants its budget bumped from $893 billion to a cool trillion. Treasury yields have risen, not fallen. Meanwhile the Fed, outside the White House’s purview, keeps rolling out the FedNow instant-payment rail.

Border and domestic surveillance tighten the net. The military is now on the southern line, technology is creeping into ports of entry, and a federal judge okayed an online registry for undocumented immigrants. Employers may soon have to use E-Verify nationwide. The U.S. signed a biometrics deal with Colombia. Police departments like Cincinnati’s are pushing Ring/Axon camera registries that can switch to live feeds during “emergencies.” Election integrity arguments support the SAVE Act, which would tether voter registration to REAL ID and proof of citizenship. Organized crime is surging, yet the administration talks about downsizing the CFPB and the SEC’s cyber-crime unit. Weather warfare, geoengineering with IoB nanoparticles, targeted land grabs, university targeting, and electronic gold schemes all make cameo appearances as ancillary pieces of the same puzzle.

Finally, remember that $21 trillion hole? HUD and DoD are laying off the very people who might know where the bodies are buried, FOIA shop staff among them. Epstein’s files remain sealed even as Cabinet members share social circles with him, and no one will say which officials hold dual passports now that eighteen Inspectors General and the White House ethics officer are gone.

Add it up and every move—currency, identity, data, infrastructure, energy, security—slides another brick into place for a unified, privately steered, AI-run social credit regime. Fitts’ conclusion is blunt: the digital control grid isn’t theoretical; it’s being wired in, fast.

[bcnmarketing]

Take advantage of tech

Microsoft's business intelligence tools offer a comprehensive suite for data analysis, visualisation, and reporting, empowering organisations to make data-driven decisions. Power BI stands as the flagship product, providing interactive dashboards and reports that connect to various data sources, from spreadsheets to cloud-based databases. Excel, with its robust analytical capabilities and Power Pivot/Power Query add-ins, remains a powerful tool for data manipulation and analysis. SQL Server Analysis Services (SSAS) provides a platform for building enterprise-grade semantic data models, enabling complex calculations and data exploration. Azure Analysis Services extends these capabilities to the cloud. Additionally, tools like Azure Synapse Analytics facilitate large-scale data warehousing and analytics, enabling organizations to process and analyse vast datasets for deeper insights. These tools collectively provide a scalable and integrated BI ecosystem for businesses of all sizes.

[societ1]

SQL Server: A Comprehensive Overview

SQL Server, developed by Microsoft, is a powerful relational database management system (RDBMS) used by organizations worldwide to manage and store data efficiently. It provides a robust platform for database operations, including data storage, retrieval, security, and analysis SQL Server is known for its scalability, reliability, and integration with other Microsoft services, making it a preferred choice for businesses of all sizes.

Key Features of SQL Server

1. Scalability and Performance

SQL Server is designed to handle large-scale databases while maintaining high performance. With features like in-memory processing, indexing, and optimized query execution, it ensures fast data retrieval and efficient processing, even with massive datasets.

2. Security and Compliance

Data security is a critical concern, and SQL Server addresses this with advanced security features such as:

Transparent Data Encryption (TDE): Encrypts the database at rest.

Row-Level Security (RLS): Restricts access to specific rows within a table based on user permissions.

Dynamic Data Masking (DDM): Protects sensitive data by masking it during query execution.

Always Encrypted: Ensures data remains encrypted both at rest and in transit.

3. High Availability and Disaster Recovery

SQL Server ensures continuous availability through features such as:

Always On Availability Groups: Provides failover support and high availability for critical databases.

Database Mirroring and Log Shipping: Helps maintain real-time data replication and backup solutions.

Backup and Restore Capabilities: Ensures data recovery in case of system failures.

4. Business Intelligence and Data Analytics

SQL Server includes built-in tools for business intelligence (BI) and analytics, allowing organizations to gain insights from their data. Features include:

SQL Server Analysis Services (SSAS): Enables data mining and multidimensional analysis.

SQL Server Integration Services (SSIS): Facilitates data extraction, transformation, and loading (ETL).

SQL Server Reporting Services (SSRS): Allows for the creation of interactive reports and dashboards.

5. Integration with Cloud and AI

SQL Server seamlessly integrates with Microsoft Azure, enabling hybrid cloud solutions. Additionally, it supports artificial intelligence (AI) and machine learning (ML) capabilities, allowing users to perform predictive analytics and automate decision-making processes.

SQL Server Editions

Microsoft offers SQL Server in different editions to cater to various business needs:

Enterprise Edition: Designed for large-scale applications with high performance and security requirements.

Standard Edition: Suitable for mid-sized businesses with essential database functionalities.

Express Edition: A free version with limited features, ideal for small applications and learning purposes.

Developer Edition: Offers full Enterprise Edition capabilities but is licensed for development and testing only.

SQL Server vs. Other RDBMS

While SQL Server is a leading database management system, it competes with other RDBMS like MySQL, PostgreSQL, and Oracle Database. Here’s how it compares:

Ease of Use: SQL Server has a user-friendly interface, particularly for Windows users.

Security Features: Provides robust security compared to MySQL and PostgreSQL.

Integration with Microsoft Ecosystem: Works seamlessly with tools like Power BI, Azure, and Office 365.

Licensing Costs: SQL Server can be more expensive than open-source databases like MySQL and PostgreSQL.

Conclusion

SQL Server is a powerful and versatile database management system that supports businesses in managing their data efficiently. With features like scalability, security, high availability, and cloud integration, it remains a top choice for enterprises looking for a reliable RDBMS. Whether used for small applications or large-scale enterprise systems, SQL Server continues to evolve with new advancements, making it an essential tool for modern data management.

[stevediazblog]

MSBI Tutorial Guide For Beginners

In the rapidly evolving world of data analytics & business intelligence, MSBI stands out as a powerful tool for transforming raw data into actionable insights. If you are new to the field or looking to enhance your skills, this MSBI Tutorial Guide For Beginners will provide a comprehensive overview of what MSBI is & how it can benefit your career. We will also touch on available resources, such as MSBI online training & certification courses, to help you get started.

What is MSBI?

MSBI, or Microsoft Business Intelligence, is a suite of tools provided by Microsoft designed to help businesses analyze & visualize their data effectively. The primary components of MSBI include SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), & SQL Server Reporting Services (SSRS). These tools work together to provide a complete solution for data extraction, analysis, & reporting.

SQL Server Integration Services (SSIS)

SSIS is responsible for data integration & transformation. It allows users to extract data from various sources, transform it into a format suitable for analysis, & load it into a destination database or data warehouse. For instance, you might use SSIS to pull data from multiple sources, clean & format it, & then load it into a SQL Server database for further analysis.

SQL Server Analysis Services (SSAS)

SSAS is used for data analysis & building OLAP (Online Analytical Processing) cubes. These cubes enable complex calculations, trend analysis, & data summarization, making it easier to generate business insights. SSAS helps in creating multidimensional structures that provide fast query performance & in depth analysis.

SQL Server Reporting Services (SSRS)

SSRS is the reporting component of MSBI. It allows users to create, manage, & deliver interactive & printed reports. With SSRS, you can design reports using a variety of formats & data sources, schedule report generation, & even integrate reports into web applications.

MSBI Tutorial Guide For Beginners

If you are just starting out with MSBI, it can be overwhelming to navigate through its components. This MSBI Tutorial Guide For Beginners aims to break down the basics & offer a step by step approach to mastering each component.

Getting Started with MSBI

To learn MSBI software, one should follow a systematic approach. Described below is best suitable way to master this platform -

Understand the Basics: Before diving into technical details, familiarize yourself with the core concepts of MSBI. Learn about data warehousing, ETL (Extract, Transform, Load) processes, & reporting.

Set Up Your Environment: Install SQL Server & the associated tools (SSIS, SSAS, SSRS). Microsoft provides comprehensive documentation & tutorials to help you get started with installation & configuration.

Learn SQL Basics: Since MSBI relies heavily on SQL, having a good grasp of SQL basics is crucial. Focus on writing queries, understanding joins, & working with stored procedures.

Diving Deeper into SSIS: SSIS is the foundation for data integration & ETL. Begin by learning how to create & manage SSIS packages, which are used to perform data extraction, transformation, & loading tasks. Explore data flow tasks, control flow tasks, & various transformations provided by SSIS.

Exploring SSAS: For SSAS, start with creating & deploying OLAP cubes. Learn how to design dimensions & measures, & understand the basics of MDX (Multidimensional Expressions) queries. Dive into data mining & create data models that help in generating insightful reports.

Mastering SSRS: SSRS is all about creating reports. Begin by designing basic reports using the Report Designer tool. Learn how to use datasets, data sources, & report parameters. Experiment with different types of reports, such as tabular, matrix, & chart reports.

MSBI Online Training & Certification

To gain a deeper understanding of MSBI & enhance your skills, consider enrolling in MSBI online training programs. These courses offer structured learning paths, practical exercises, & real world examples to help you grasp the intricacies of MSBI components.

Choosing the Right MSBI Certification Course

An MSBI Certification Course can significantly boost your credentials. Look for courses that cover all aspects of MSBI, including SSIS, SSAS, & SSRS. Certification can validate your skills & make you a more competitive candidate in the job market.

Benefits of MSBI Certification

Obtaining an msbi training certificate demonstrates your expertise in business intelligence tools & techniques. It can open doors to advanced roles in data analysis, reporting, & business intelligence. Many organizations value certified professionals who can deliver actionable insights & drive business decisions based on data.

Final Comment

In summary, MSBI is a robust suite of tools that empowers businesses to turn data into valuable insights. For beginners, this MSBI Tutorial Guide For Beginners provides a foundational understanding of what MSBI is & how to get started. By exploring each component—SSIS, SSAS, & SSRS—you can build a comprehensive skill set in business intelligence.

Investing in MSBI online training & obtaining an MSBI Certification Course can further enhance your skills & career prospects. Whether you are aiming to analyze data more effectively, create insightful reports, or manage complex data transformations, mastering MSBI tools can be a significant step towards achieving your professional goals.

People Also Read : What is UiPath? UiPath Tutorial For Beginners

[yourusatoday]

Analysis of MarkLogic Corp Competitors

Introduction to MarkLogic Corp

MarkLogic Corp is a leading provider of data integration and database solutions, empowering organizations to manage and leverage their data effectively. As a key player in the data management industry, MarkLogic faces competition from several companies offering similar solutions. This analysis provides insights into MarkLogic's main competitors and their offerings.

Competitors of MarkLogic Corp

1. MongoDB, Inc.

MongoDB, Inc. is a prominent competitor of MarkLogic, offering a popular document-oriented NoSQL database solution. MongoDB's flexible data model and scalability make it a preferred choice for many organizations dealing with large volumes of unstructured data.

Key Features:

Document-oriented database with JSON-like documents.

Scalable architecture suitable for distributed environments.

Comprehensive query language and indexing capabilities.

2. Oracle Corporation

Oracle Corporation is a global leader in database management systems, offering a wide range of solutions, including Oracle Database. Oracle's database solutions provide robust relational database management capabilities, making them suitable for enterprise-scale applications.

Key Features:

Powerful relational database management system (RDBMS) with ACID compliance.

Advanced security features and data protection capabilities.

Support for various data types and integration with other Oracle products.

3. Microsoft Corporation

Microsoft Corporation offers SQL Server, a comprehensive relational database management system, competing with MarkLogic in the enterprise database market. SQL Server provides extensive features for data management, analytics, and business intelligence.

Key Features:

Integrated suite of data management tools for relational databases.

Advanced analytics and reporting capabilities with SQL Server Analysis Services (SSAS) and Power BI.

Seamless integration with Microsoft Azure cloud platform for scalability and flexibility.

4. Amazon Web Services, Inc. (AWS)

Amazon Web Services offers Amazon DynamoDB, a fully managed NoSQL database service, as a competitor to MarkLogic. DynamoDB is known for its scalability, high performance, and seamless integration with other AWS services.

Key Features:

Fully managed NoSQL database with automatic scaling.

Built-in security features and encryption at rest and in transit.

Integration with AWS ecosystem for seamless application development and deployment.

5. Google LLC

Google LLC provides Google Cloud Bigtable, a fully managed, scalable NoSQL database service, competing with MarkLogic in the cloud database market. Bigtable is designed for large-scale, high-throughput workloads.

Key Features:

Distributed NoSQL database for real-time analytics and data processing.

High scalability and performance for handling massive datasets.

Integration with Google Cloud Platform services for seamless application development.

Competitive Analysis

Strengths of Competitors

MongoDB: Flexible data model and scalability.

Oracle: Robust RDBMS with advanced security features.

Microsoft: Integrated suite of data management tools and cloud integration.

AWS: Fully managed NoSQL database service with seamless scalability.

Google: High scalability and performance for real-time analytics.

MarkLogic's Competitive Advantages

Advanced semantics and indexing capabilities for complex data.

Support for structured, semi-structured, and unstructured data.

Flexibility to deploy on-premises or in the cloud.

Strong focus on data security and compliance.

Conclusion

MarkLogic Corp faces competition from several key players in the database management industry, each offering unique solutions tailored to different use cases. While competitors like MongoDB, Oracle, Microsoft, AWS, and Google offer strong products, MarkLogic stands out with its advanced semantics, flexible deployment options, and robust security features. Understanding the strengths and offerings of competitors is essential for MarkLogic to continue innovating and providing value to its customers in the ever-evolving data management landscape.

[aryacollegeofengineering]

How can you achieve your dream job with AIDS engineering?

Dream Job with AIDS

Technology has become an integral part of our lives. A quick glance at the technology landscape points us towards artificial intelligence (AI) and its power. From smart assistants like Siri or Alexa, customer care chatbots, robotic vacuum cleaners and high-tech home appliances to self-driving vehicles and facial recognition, AI-led technologies are rapidly becoming life’s mainstays. This, along with the rising demand for high-performance technologies in various industries, is a positive sign for job seekers of top engineering colleges in Jaipur looking to make a career in AI.

We are already seeing AI becoming an important aspect of automated, smart business ecosystems and enabling smart solutions. Innovations in AI are empowering industry verticals, such as healthcare, automobile, finance, manufacturing and retail. In healthcare, AI is being trained to mimic human cognition to undertake the critical tasks of diagnosis, assistance for surgeries and beyond. Similarly, the retail sector is deploying AI-led systems for enhancing customer journey with solutions like chatbots as well as to improve demand forecasting, pricing decisions and product placement. With such applications, AI is bringing technology to the core of all businesses. From life-saving equipment to self-driving cars, AI will soon be in almost all applications and devices.

Career Opportunities

There are several roles that students of best engineering colleges in Jaipur can explore are as follows:

Computer vision - Concepts like computer vision can open doors for some of the most exciting opportunities for curious technology students and professionals. It is one of the many recent innovations driving AI and machine learning (ML) job trends. Computer vision helps tech teams of private engineering colleges in Jaipur to gather insights through audio, video and other formats. This data or pattern is then analysed for training AI-led systems or feeding systems to arrive at smart decisions. This is an emerging field for tech enthusiasts to explore. Freshers can also explore a career as a computer vision professional with the right training.

AI and ML developer/engineer - AnAI and ML engineer/developer oversees performing statistical analysis, running tests and implementing AI designs. Furthermore, they also develop deep learning systems, manage ML programmes, implement ML algorithms, among other things. For a career as an AI and ML developer, an individual need excellent programming skills in Python, Scala and Java, and experience on frameworks like Azure ML Studio, Apache Hadoop, and Amazon ML.

AI analyst/specialist - An AI analyst or specialist is similar to an AI engineer of Best  BTech college in Jaipur. The key responsibility is to enhance the services delivered by an industry, using data analysis skills to study the trends and patterns of certain datasets. With increasing use of AI systems across sectors, AI analysts or specialists are becoming very important.  They must have a good background in programming, system analysis and computational statistics. A bachelor’s or equivalent degree can help you land an entry-level position, but a master’s or equivalent is a must for core AI analyst positions.

Data scientist - The role involves identifying valuable data streams and sources, working along with data engineers of best engineering colleges in Jaipur for the automation of data collection processes, dealing with big data and analysing massive amounts of data to learn trends and patterns for developing predictive ML models. A data scientist is also responsible for coming up with solutions and strategies for decision-makers with the help of visualisation tools and techniques. SQL, Python, Scala, SAS, SSAS and R are the most useful tools for a data scientist. They are required to work on frameworks such as Amazon ML, Azure ML Studio, Spark MLlib and so on.

Key Skills

Now is the perfect time to explore or begin a career in AI. With the right learning and willingness to explore, you are sure to make a promising career out of it. However, to explore a career in AI, along with the right skills you must acquire the relevant technical knowledge and skill sets. First, experience with calculus and linear algebra are crucial. Second, you should have some knowledge and experience in at least one of the following programming languages out of Python, C/C++, MATLAB, etc. Along with the above, it is beneficial to also have some additional skills and knowledge including Industry knowledge and awareness, Problem-solving skills, Deep knowledge of or expertise in applied mathematics and algorithms, Knowledge of AI and ML systems, Management and leadership skills, etc.

First Steps

If students of engineering colleges Jaipur are not a technology professional or from the industry, the first step is to research and gather more knowledge. They can read several articles available online, talk to AI professionals, research technology colleges and programmes and also try to understand what interests you.

Although an undergraduate degree in computer science is a good starting point, a master’s degree in AI can provide first-hand experience and knowledge that can help you secure a position and give you an advantage over other candidates.

There are several undergraduate and graduate courses specific to data analytics and AI that you can choose at technology institutes and colleges across nation. These courses not only offer great insights into the industry and prepare you with the right skills, they also help you figure out your area of interest.

Career opportunities in AI and related sectors are very promising. It is also an interesting field to explore careers across industry sectors and seek global exposure. Industry predictions suggest that the industry will continue to grow explosively with rising demand for technology solutions in industries. All you need to do is find out what interests you and to keep learning.

Source: Click Here

[namesnums]

The top masculine names account for a larger percent of babies.

Using SSA sex, the male ranking is more saturated than the female ranking.

The pattern holds when looking at the top 100 and top 1000 names.

The SSA dataset contains increasingly many unique names under both F and M rankings. Each year, the F ranking contains more unique names than the M ranking.

[mariacallous]

Operatives from Elon Musk’s so-called Department of Government Efficiency (DOGE) are building a master database at the Department of Homeland Security (DHS) that could track and surveil undocumented immigrants, two sources with direct knowledge tell WIRED.

DOGE is knitting together immigration databases from across DHS and uploading data from outside agencies including the Social Security Administration (SSA), as well as voting records, sources say. This, experts tell WIRED, could create a system that could later be searched to identify and surveil immigrants.

The scale at which DOGE is seeking to interconnect data, including sensitive biometric data, has never been done before, raising alarms with experts who fear it may lead to disastrous privacy violations for citizens, certified foreign workers, and undocumented immigrants.

A United States Customs and Immigration Services (USCIS) data lake, or centralized repository, existed at DHS prior to DOGE that included data related to immigration cases, like requests for benefits, supporting evidence in immigration cases, and whether an application has been received and is pending, approved, or denied. Since at least mid-March, however, DOGE has been uploading mass amounts of data to this preexisting USCIS data lake, including data from the Internal Revenue Service (IRS), SSA, and voting data from Pennsylvania and Florida, two DHS sources with direct knowledge tell WIRED.

“They are trying to amass a huge amount of data,” a senior DHS official tells WIRED. “It has nothing to do with finding fraud or wasteful spending … They are already cross-referencing immigration with SSA and IRS as well as voter data.”

Since president Donald Trump’s return to the White House earlier this year, WIRED and other outlets have reported extensively on DOGE’s attempts to gain unprecedented access to government data, but until recently little has been publicly known about the purpose of such requests or how they would be processed. Reporting from The New York Times and The Washington Post has made clear that one aim is to cross-reference datasets and leverage access to sensitive SSA systems to effectively cut immigrants off from participating in the economy, which the administration hopes would force them to leave the county. The scope of DOGE’s efforts to support the Trump administration’s immigration crackdown appear to be far broader than this, though. Among other things, it seems to involve centralizing immigrant-related data from across the government to surveil, geolocate, and track targeted immigrants in near real time.

DHS and the White House did not immediately respond to requests for comment.

DOGE’s collection of personal data on immigrants around the US has dovetailed with the Trump administration’s continued immigration crackdown. “Our administration will not rest until every single violent illegal alien is removed from our country,” Karoline Leavitt, White House press secretary, said in a press conference on Tuesday.

On Thursday, Gerald Connolly, a Democrat from Virginia and ranking member on the House Oversight Committee, sent a letter to the SSA office of the inspector general stating that representatives have spoken with an agency whistleblower who has warned them that DOGE was building a “master database” containing SSA, IRS, and HHS data.

“The committee is in possession of multiple verifiable reports showing that DOGE has exfiltrated sensitive government data across agencies for unknown purposes,” a senior oversight committee aide claims to WIRED. “Also concerning, a pattern of technical malfeasance has emerged, showing these DOGE staffers are not abiding by our nation’s privacy and cybersecurity laws and their actions are more in line with tactics used by adversaries waging an attack on US government systems. They are using excessive and unprecedented system access to intentionally cover their tracks and avoid oversight so they can creep on Americans’ data from the shadows.”

“There's a reason these systems are siloed,” says Victoria Noble, a staff attorney at the Electronic Frontier Foundation. “When you put all of an agency's data into a central repository that everyone within an agency or even other agencies can access, you end up dramatically increasing the risk that this information will be accessed by people who don't need it and are using it for improper reasons or repressive goals, to weaponize the information, use it against people they dislike, dissidents, surveil immigrants or other groups.”

One of DOGE’s primary hurdles to creating a searchable data lake has been obtaining access to agency data. Even within an agency like DHS, there are several disparate pools of data across ICE, USCIS, Customs and Border Protection, and Homeland Security Investigations (HSI). Though some access is shared, particularly for law enforcement purposes, these pools have not historically been commingled by default because the data is only meant to be used for specific purposes, experts tell WIRED. ICE and HSI, for instance, are law enforcement bodies and sometimes need court orders to access an individual's information for criminal investigations, whereas USCIS collects sensitive information as part of the regular course of issuing visas and green cards.

DOGE operatives Edward Coristine, Kyle Schutt, Aram Moghaddassi, and Payton Rehling have already been granted access to systems at USCIS, FedScoop reported earlier this month. The USCIS databases contain information on refugees and asylum seekers and possibly data on green card holders, naturalized US citizens, and Deferred Action for Childhood Arrivals recipients, a DHS source familiar tells WIRED.

DOGE wants to upload information to the data lake from myUSCIS, the online portal where immigrants can file petitions, communicate with USCIS, view their application history, and respond to requests for evidence supporting their case, two DHS sources with direct knowledge tell WIRED. In combination with IP address information from immigrants that sources tell WIRED that DOGE also wants, this data could be used to aid in geolocating undocumented immigrants, experts say.

Voting data, at least from Pennsylvania and Florida, appears to also have also been uploaded to the USCIS data lake. In the case of Pennsylvania, two DHS sources tell WIRED that it is being joined with biometric data from USCIS’s Customer Profile Management System, identified on the DHS’s website as a “person-centric repository of biometric and associated biographic information provided by applicants, petitioners, requestors, and beneficiaries” who have been “issued a secure card or travel document identifying the receipt of an immigration benefit.”

“DHS, for good reason, has always been very careful about sharing data,” says a former DHS staff member who spoke to WIRED on the condition of anonymity because they were not authorized to speak to the press. “Seeing this change is very jarring. The systemization of it all is what gets scary, in my opinion, because it could allow the government to go after real or perceived enemies or ‘aliens; ‘enemy aliens.’”

While government agencies frequently share data, this process is documented and limited to specific purposes, according to experts. Still, the consolidation appears to have administration buy-in: On March 20, President Trump signed an executive order requiring all federal agencies to facilitate “both the intra- and inter-agency sharing and consolidation of unclassified agency records.” DOGE officials and Trump administration agency leaders have also suggested centralizing all government data into one single repository. “As you think about the future of AI, in order to think about using any of these tools at scale, we gotta get our data in one place," General Services Administration acting administrator Stephen Ehikian said in a town hall meeting on March 20. In an interview with Fox News in March, Airbnb cofounder and DOGE member Joe Gebbia asserted that this kind of data sharing would create an “Apple-like store experience” of government services.

According to the former staffer, it was historically “extremely hard” to get access to data that DHS already owned across its different departments. A combined data lake would “represent significant departure in data norms and policies.” But, they say, “it’s easier to do this with data that DHS controls” than to try to combine it with sensitive data from other agencies, because accessing data from other agencies can have even more barriers.

That hasn’t stopped DOGE operatives from spending the last few months requesting access to immigration information that was, until recently, siloed across different government agencies. According to documents filed in the American Federation of State, County and Municipal Employees, AFL-CIO v. Social Security Administration lawsuit on March 15, members of DOGE who were stationed at SSA requested access to the USCIS database, SAVE, a system for local and state governments, as well as the federal government, to verify a person’s immigration status.

According to two DHS sources with direct knowledge, the SSA data was uploaded to the USCIS system on March 24, only nine days after DOGE received access to SSA’s sensitive government data systems. An SSA source tells WIRED that the types of information are consistent with the agency's Numident database, which is the file of information contained in a social security number application. The Numident record would include a person’s social security number, full names, birthdates, citizenship, race, ethnicity, sex, mother’s maiden name, an alien number, and more.

Oversight for the protection of this data also appears to now be more limited. In March, DHS announced cuts to the Office for Civil Rights and Civil Liberties (CRCL), the Office of the Immigration Detention Ombudsman, and the Office of the Citizenship and Immigration Services Ombudsman, all key offices that were significant guards against misuse of data. “We didn't make a move in the data world without talking to the CRCL,” says the former DHS employee.

CRCL, which investigates possible rights abuses by DHS and whose creation was mandated by Congress, had been a particular target of DOGE. According to ProPublica, in a February meeting with the CRCL team, Schutt said, “This whole program sounds like money laundering.”

Schutt did not immediately respond to a request for comment.

Musk loyalists and DOGE operatives have spoken at length about parsing government data to find instances of supposed illegal immigration. Antonio Gracias, who according to Politico is leading DOGE’s “immigration task force,” told Fox and Friends that DOGE was looking at voter data as it relates to undocumented immigrants. “Just because we were curious, we then looked to see if they were on the voter rolls,” he said. “And we found in a handful of cooperative states that there were thousands of them on the voter rolls and that many of them had voted.” (Very few noncitizens voted in the 2024 election, and naturalized immigrants were more likely to vote Republican.) Gracias is also part of the DOGE team at SSA and founded the investment firm Valor Equity Partners. He also worked with Musk for many years at Tesla and helped the centibillionaire take the company public.

“As part of their fixation on this conspiracy theory that undocumented people are voting, they're also pulling in tens of thousands, millions of US citizens who did nothing more than vote or file for Social Security benefits,” Cody Venzke, a senior policy counsel at the American Civil Liberties Union focused on privacy and surveillance, tells WIRED. “It's a massive dragnet that's going to have all sorts of downstream consequences for not just undocumented people but US citizens and people who are entitled to be here as well.”

Over the past few weeks, DOGE leadership within the IRS have orchestrated a “hackathon” aimed at plotting out a “mega API” allowing privileged users to view all agency data from a central access point. Sources tell WIRED the project will likely be hosted on Foundry, software developed by Palantir, a company cofounded by Musk ally and billionaire tech investor Peter Thiel. An API is an application programming interface that allows different software systems to exchange data. While the Treasury Department has denied the existence of a contract for this work, IRS engineers were invited to another three-day “training and building session” on the project located at Palantir’s Georgetown offices in Washington, DC, this week, according to a document viewed by WIRED.

“Building it out as a series of APIs they can connect to is more feasible and quicker than putting all the data in a single place, which is probably what they really want,” one SSA source tells WIRED.

On April 5, DHS struck an agreement with the IRS to use tax data to search for more than seven million migrants working and living in the US. ICE has also recently paid Palantir millions of dollars to update and modify an ICE database focused on tracking down immigrants, 404 Media reported.

Multiple current and former government IT sources tell WIRED that it would be easy to connect the IRS’s Palantir system with the ICE system at DHS, allowing users to query data from both systems simultaneously. A system like the one being created at the IRS with Palantir could enable near-instantaneous access to tax information for use by DHS and immigration enforcement. It could also be leveraged to share and query data from different agencies as well, including immigration data from DHS. Other DHS sub-agencies, like USCIS, use Databricks software to organize and search its data, but these could be connected to outside Foundry instances simply as well, experts say. Last month, Palantir and Databricks struck a deal making the two software platforms more interoperable.

“I think it's hard to overstate what a significant departure this is and the reshaping of longstanding norms and expectations that people have about what the government does with their data,” says Elizabeth Laird, director of equity in civic technology at the Center for Democracy and Technology, who noted that agencies trying to match different datasets can also lead to errors. “You have false positives and you have false negatives. But in this case, you know, a false positive where you're saying someone should be targeted for deportation.”

Mistakes in the context of immigration can have devastating consequences: In March, authorities arrested and deported Kilmar Abrego Garcia, a Salvadoran national, due to, the Trump administration says, “an administrative error.” Still, the administration has refused to bring Abrego Garcia back, defying a Supreme Court ruling.

“The ultimate concern is a panopticon of a single federal database with everything that the government knows about every single person in this country,” Venzke says. “What we are seeing is likely the first step in creating that centralized dossier on everyone in this country.”

[ittrainingcoursesusa]

Hone Your Data Science Skills With The Best Online Bootcamp

Data is an invaluable resource for any company or organization. It's a cost-saver for businesses because it helps them better understand and improve their processes. However, until the information is derived from data, the data itself is pointless. The goal of data science is to discover meaningful insights by sifting through massive datasets that include both organized and unstructured data and looking for trends. 

With the use of data science, companies can cut down on unnecessary spending by comparing the efficacy of various advertising channels and directing their efforts solely toward those that provide the greatest return on investment. For this reason, leading companies prefer to hire data scientists.

Join The Best Data Science Course:

Market research, medical care, banking, and policymaking are just a few of the many industries that make heavy use of data scientists. If you want to get into the data science industry, you should take CCS Learning Academy's online Data Science & Business Intelligence Bootcamp course for beginners.

This intensive online course will equip you with the knowledge and experience you need to land your first job as a business intelligence (BI) analyst or data analyst.

Duration & Topic Covered In The Bootcamp:

In this intensive online data science bootcamp, students will spend 320 hours learning from and working with the industry's leading data analysts.

All the essential data science topics, such as Power BI, Microsoft Azure, Tableau, Python, T-SQL, SSRS, SSAS, and Snowflake will all be covered thoroughly by the highly qualified instructors at this bootcamp.

Top Reasons To Participate In This Bootcamp:

For the following reasons, you should participate in this data science bootcamp- These boot camp classes are taught by practicing data analysts who are familiar with the skills in the highest demand. Boot campers receive specialized instruction in intimate settings, allowing them to develop formidable data analysis expertise in a short amount of time. If you need help finding job placement in the data science field after completing this bootcamp, the convening organization's sister company, CCS Global Tech, has a team of recruiters who can help.

Final Words:

Since employers place a high value on data analysis expertise, CCS Learning Academy has teamed up with experts in the field to create a course to help you develop your skills. So, don't wait any longer to enroll in this online

 data science bootcamp. Join now!

[southsuburbanchapter]

Thursday, September 15 at 7:30 PM CT

South Suburban Archaeological Society (SSAS) ZOOM;

"People, Places and Prehistory: The Environment(s) of Prehistoric Northern Illinois”

With Dr. Clare Tolmie, Senior Research Archaeologist, Illinois State Archaeological Survey (ISAS)

People interact with their environment in multiple ways.  By reconstructing the environment over time, archaeologists can better understand site patterns and how humans interacted with and exploited the resources around them. Dr. Clare Tolmie will present an outline of the datasets used by archaeologists to reconstruct past environments.  She will also discuss how the landscape has changed over time in northeastern Illinois and how people occupied the landscape at different time periods.

NOTE: Dr. Tolmie will NOT be appearing in person; however, we will gather at the Irwin Center (18120 Highland Avenue, Homewood IL) in our usual meeting room to view her Zoom broadcast.  Please join us for light refreshments before the program.  This event is free and open to the public.

Those who wish to view this presentation remotely via Zoom should send an email requesting access to southsubarkyzoom-request@yahoo.com  Please include enough information in the email to verify your identity.  A day or two before the program, the host will respond with an invitation to attend through Zoom.

For further information, please visit the website of the South Suburban Archaeological Society.

[iaaaevents]

Thursday, September 15 at 7:30 PM CT

South Suburban Archaeological Society (SSAS) ZOOM;

"People, Places and Prehistory: The Environment(s) of Prehistoric Northern Illinois”

 With Dr. Clare Tolmie, Senior Research Archaeologist, Illinois State Archaeological Survey (ISAS) People interact with their environment in multiple ways.  By reconstructing the environment over time, archaeologists can better understand site patterns and how humans interacted with and exploited the resources around them. Dr. Clare Tolmie will present an outline of the datasets used by archaeologists to reconstruct past environments.  She will also discuss how the landscape has changed over time in northeastern Illinois and how people occupied the landscape at different time periods. NOTE: Dr. Tolmie will NOT be appearing in person; however, we will gather at the Irwin Center (18120 Highland Avenue, Homewood IL) in our usual meeting room to view her Zoom broadcast.  Please join us for light refreshments before the program.  This event is free and open to the public. Those who wish to view this presentation remotely via Zoom should send an email requesting access to southsubarkyzoom-request@yahoo.com  Please include enough information in the email to verify your identity.  A day or two before the program, the host will respond with an invitation to attend through Zoom. For further information, please visit the website of the South Suburban Archaeological Society.

[southafricajobsalert]

Life Healthcare Vacancies 2022 | Current Government Vacancies In Life Healthcare @www.lifehealthcare.co.za

Life Healthcare Vacancies 2022 – Current Government Vacancies In Life Healthcare | Life Healthcare Data Operations Manager Jobs In Port Cape Town, Western Cape.South Africa Jobs In Life Healthcare.Data Operations Manager Jobs On Life Healthcare Careers Portal At www.lifehealthcare.co.za.Job Opportunity Active In Life Healthcare South Africa.Government Job Vacancies In South Africa.Latest Jobs In Port Cape Town.Data Operations Manager Job Application.Data Operations Manager Jobs Near Me |

Good News For Job Seekers In Western Cape For Life Healthcare Vacancies 2022 . This Job Provides Awesome Opportunities For New Aspirants. All Updates Are Available At. za.defencejobsalert.com Regarding Jobs In Port Cape Town. Here Are Vacancies On The Official Website For Life Healthcare.

Here Some Most Fantastic Vacancies List Of  Life Healthcare. Our Page Involves The Most Relevant Government Jobs Of The Western Cape.  Life Healthcare Jobs Are Currently Available In Port Cape Town For Data Operations Manager Vacancies. Our Page Will Provide All Up-to-date Info About Life Healthcare. Stay Connected With Our Page For Further Notification About Future Life Healthcare Jobs.

Life Healthcare Jobs 2022 – Apply For Data Operations Manager Job Vacancy @ www.lifehealthcare.co.za

Life Healthcare Published a Notification To Hiring Data Operations Manager, Candidates Who Are Eligible For The Position. Get all information about Life Healthcare Data Operations Manager Job Vacancy in South Africa. Life Healthcare Jobs Opening 2022 is open to qualified candidates. After selection, the expected salary for this position is  R 30 257 per month .

Life Healthcare Data Operations Manager Jobs – OverviewHiring Agency

Life Healthcare

Life Healthcare Vacancies Open for ProfileData Operations

Manager Jobs

Salary R 30 257 per month

Job Location

Jobs In Cape Town

Job TypesLife Healthcare Jobs In  

Western Cape

Closing Date30 July 2022

Detailed Job Description About Life Healthcare Careers 2022

Data Operations Manager, reporting to the Head of Data.

The successful candidate will be responsible for driving and overseeing the efficient and effective management of assets in Life Healthcare’s data ecosystem.

Critical Outputs Manage the data operations team responsible for maintaining LHC data assets, ensuring that these are kept up-to-date and fit for purpose. Manage regular (daily, weekly, monthly) data ingestion and updating processes, ensuring accurate detection and quick resolution of any errors or other issues. Manage regression testing on databases to ensure data integrity after modifications. Ensure maximum uptime for data assets. Review databases and other assets on an ongoing basis to eliminate inefficiencies. Work closely with the Data Development Manager, who is responsible for developing new data assets off the foundation of the existing assets, and ensure seamless integration of the new data assets into existing structures, where applicable. Understand the needs of users, particularly the Analytics team, to ensure that data infrastructure supports their reporting and analysis needs optimally. Ensure compliance with data governance standards. Requirements Bachelor degree in Computer Science, Information Technology or an equivalent field, or other equivalent qualifications. 5+ years experience in data management, with 1+ years in a management capacity Extensive experience in all aspects of the ETL process Experience in dealing with large unstructured datasets Advanced SQL and TSQL expertise 3+ years experience in SSIS, SSAS, and SSRS development 2+ years experience in cloud-based data environments, with expertise in MS Azure a strong recommendation Proven expertise in data architecture (design, development, and/or management) Healthcare experience, in particular in a hospital advantage, would also be an advantage Competencies Attention to detail Analytical thinking Problem-solving, analysis, and judgment Resilience Engaging diversity Influencing skills Leadership skills Building relationships Customer responsiveness Organisational awareness Excellence orientation Deadline driven Driven by efficiency Contact Mandisa Martins

Email careers@lifehealthcare.co.za Closing date Saturday, July 30, 2022 Internal applicants – Before making an application, you are requested to discuss your application with your line manager. External candidates will also be considered.

Explore our vacancies and find the right opportunity for you. Download the application form and email to the relevant contact person specified in the job advertisement.

Life Healthcare is an Equal Opportunity Employer.

Please note that Life Healthcare has a mandatory Covid vaccination policy. Only fully covid vaccinated external candidates will be considered.

Only vaccinated external candidates will also be considered.

Thank you for your interest in this opportunity. Kindly note that only short-listed candidates will be contacted. Applicants who have not been contacted within two weeks of the closing date of this advert, should consider their application as unsuccessful.