#Online training for big data

[dataly-data-science]

[modernadesigns]

Geld verdienen met kunstmatige intelligentie

[kodestreetechnologies]

Best Online Data Science Bootcamp - Learn Data Science from Scratch

Data Science Program

Data Science is one of the most popular career paths for the 21st Century. Businesses from all industries use data-driven strategies for better decision-making, to optimize operations and enhance customer experience. Enrolling in an Online Data Science Bootcamp or a Data Science Program is the best option for anyone looking to break into this dynamic industry.

This guide covers everything you need about Data Science, including the best bootcamps and why it is a field with immense career potential.

What is Data Science Programs?

A Data Science Program provides a structured path of learning that includes both the fundamentals and advanced concepts in data science. The Data Science Program includes a variety of Data Science Courses, which cover essential topics such as:

Probability and Statistics

Machine Learning Programs

Artificial Intelligence Courses

Big Data Analytics Training

Data Science Certification

Python for Data Science

Deep Learning Courses

Business Intelligence Programs

Data Science Statistics

Data Science Great Learning

Online Data Science Bootcamps provide intensive, hands-on instruction that prepares students to tackle real-life data science challenges.

Why Data Science Is Important

Data scientists are in high demand due to the explosion of data that has occurred with the digital age. Companies use data to:

Take data-driven decisions

Trends and patterns can be identified

Automate processes using AI & ML

Enhance customer experience

Efficiency and operational effectiveness

To stay competitive, companies are investing heavily in Data Science Training. The demand for qualified professionals is growing exponentially.

Why choose an online data science bootcamp?

1. Accessibility and Flexibility

Online Data Science Bootcamps allow you to study at your own pace, from anywhere. You can learn while balancing your daily obligations, whether you are a student, a working professional or a career changer.

2. Industry-Related Curriculum

Bootcamps are designed to provide students with practical skills that will help them land a job. They do not focus solely on theoretical knowledge. The courses cover the core Data Science programs, such as Python for Data Science and Machine Learning.

3. Hands-on projects

Real-world cases are often used in bootcamps to help students learn how to apply their knowledge. Real datasets help in learning Data Science Statistics, and business intelligence applications.

4. Expert Mentorship

Data Science and Analytics professionals with years of experience will teach you the basics. Many bootcamps offer personalized mentoring for those who want it.

5. Affordable Learning

Online Data Science Bootcamps are a great option because they cost less than most university degrees. Many bootcamps also offer discounts, scholarships, and flexible payment options.

The Key Components for a Top Online Data Science Bootcamp

The following modules should be included in a well-structured Online Data Science Bootcamp:

1. The Foundations

Data Science Introduction Courses

Python Basics for Data Science

Understanding Data Science Statistics

2. Data Analysis and Handling

Data Wrangling Techniques

Exploratory Data Analysis

Data Analytics Training

3. Machine Learning & AI

Machine Learning Programs (Supervised & Unsupervised Learning)

Artificial Intelligence (Deep Learning NLP Computer Vision)

Deep Learning Courses (Neural Networks, CNNs, RNNs)

4. Big Data and Business Intelligence

Big Data Analytics Training

Business Intelligence Programs

5. Career Support & Job Readiness

Build your resume and prepare for interviews

Industry Networking

Freelancing and Internship Opportunities

Who should enroll in a Data Science Bootcamp Online?

A Data Science Bootcamp online is perfect for:

Beginners who are interested in a career as a Data Scientist

Professionals in the workforce seeking to make a career change

Machine Learning and AI: A must-know for IT professionals

Students interested in Data Science courses and certifications

Entrepreneurs who want to use data for business growth

Best Online Data Science Bootcamps for 2025

Coursera Data Science (by Johns Hopkins University).

MIT Professional Data Science Certificate

Google Data Analytics Certificate

IBM Data Science Professional Certificate

Data Science Bootcamp with Udacity

Springboard Data Science Career Path

Data Science Program from edX

Data Science Online Course (by Kodestree),

Job Opportunities Following Completion of a Data Science Bootcamp

After completing the Data Science Program you can explore careers such as:

Data Scientist

Machine Learning Engineer

Big Data Analyst

Business Intelligence Analyst

AI Engineer

Data Engineer

Python Data Analyst

Data Science Consultant

Deep Learning Specialist

Companies are actively seeking certified professionals to fill these positions.

FAQs about Online Data Science Bootcamps

1. Do I have to be a coder in order to attend a Data Science Bootcamp?

Many boot camps offer introductory Python courses for Data Science for beginners.

2. How long does it usually take to complete the Online Data Science Bootcamp course?

Bootcamps can last anywhere from 3 months to 12 depending on their intensity.

3. What are the benefits of Data Science Bootcamps?

Bootcamps are a good investment in career development because they provide skills that can be used on the job.

4. Can I find a job once I complete a Data Science Bootcamp course?

Most bootcamps provide career support to increase the chances of getting a job.

5. How much does an Online Data Science Bootcamp cost?

The cost of a course can range from $500 up to $5,000 depending on the provider and the duration.

Blog Summary & Recommendation 

Online Data Science Bootcamps are the fastest way to gain expertise in Machine Learning and Artificial Intelligence. They also provide a great opportunity for you to learn about Big Data Analytics, Business Intelligence, and Big Data Analytics. These bootcamps are great for both beginners and experienced professionals. They provide structured learning as well as hands-on experiences, career opportunities, and more.

Kodestree is the perfect program for those who are looking to enroll in an Online Data Science Course or a Data Science Course Bangalore. Take a look at their courses to start your journey towards a career in data sciences!

[erklaervideoagentur]

E-Learning Big Data erstellen – Agentur für digitale Schulung & Online Kurs Anbieter

Entdecken Sie, wie Sie mit unserer Agentur für digitale Schulung und Online Kurs Anbieter effektive E-Learning Big Data erstellen. Optimieren Sie Ihre Lernplattform jetzt! Einführung in die Erstellung von E-Learning Big Data Warum E-Learning Big Data wichtig ist In der heutigen digitalen Welt ist die Nachfrage nach qualitativ hochwertigen E-Learning-Inhalten enorm gestiegen. Unternehmen und…

[cavillionlearning]

Industry-Leading Visualization with Tableau Data Visualization

1. User-Friendly Interface: The intuitive design allows anyone to easily start visualizing data.

2. Seamless Integration: Connects easily with various data sources for efficient analysis.

3. Quick Insights: Generate actionable insights within minutes.

4. Integrated Collaboration Tools: Share dashboards and insights with your team effortlessly.

5. Regular Updates: Tableau continuously evolves with new features and improvements.

Want to take your skills to the next level? Join our 1-day Tableau Bootcamp on 2nd November (Online)!

[digitalmarketing6669]

Unlock Big Data Skills: Become a Hadoop Developer with Hadoop & Spark

[scholarnest]

From Beginner to Pro: The Best PySpark Courses Online from ScholarNest Technologies

Are you ready to embark on a journey from a PySpark novice to a seasoned pro? Look no further! ScholarNest Technologies brings you a comprehensive array of PySpark courses designed to cater to every skill level. Let's delve into the key aspects that make these courses stand out:

1. What is PySpark?

Gain a fundamental understanding of PySpark, the powerful Python library for Apache Spark. Uncover the architecture and explore its diverse applications in the world of big data.

2. Learning PySpark by Example:

Experience is the best teacher! Our courses focus on hands-on examples, allowing you to apply your theoretical knowledge to real-world scenarios. Learn by doing and enhance your problem-solving skills.

3. PySpark Certification:

Elevate your career with our PySpark certification programs. Validate your expertise and showcase your proficiency in handling big data tasks using PySpark.

4. Structured Learning Paths:

Whether you're a beginner or seeking advanced concepts, our courses offer structured learning paths. Progress at your own pace, mastering each skill before moving on to the next level.

5. Specialization in Big Data Engineering:

Our certification course on big data engineering with PySpark provides in-depth insights into the intricacies of handling vast datasets. Acquire the skills needed for a successful career in big data.

6. Integration with Databricks:

Explore the integration of PySpark with Databricks, a cloud-based big data platform. Understand how these technologies synergize to provide scalable and efficient solutions.

7. Expert Instruction:

Learn from the best! Our courses are crafted by top-rated data science instructors, ensuring that you receive expert guidance throughout your learning journey.

8. Online Convenience:

Enroll in our online PySpark courses and access a wealth of knowledge from the comfort of your home. Flexible schedules and convenient online platforms make learning a breeze.

Whether you're a data science enthusiast, a budding analyst, or an experienced professional looking to upskill, ScholarNest's PySpark courses offer a pathway to success. Master the skills, earn certifications, and unlock new opportunities in the world of big data engineering! 

[onlinecoursesusa]

Big Data Hadoop Certification Training Course

In the era of digital transformation, where data has become a cornerstone of strategic decision-making, professionals equipped with expertise in Big Data and Hadoop are in high demand. The key to unlocking the vast potential of these technologies lies in enrolling in a Big Data Hadoop certification training course. This comprehensive guide explores the significance of Big Data Hadoop certification training, outlines key components of an effective program, and highlights the myriad benefits of earning a coveted certification in this dynamic field.

Why Big Data Hadoop Certification Training Matters:

Expertise in Handling Large Datasets:

Big Data Hadoop certification training course equips professionals with the skills needed to efficiently process and analyze large datasets. This expertise is crucial in a landscape where organizations grapple with ever-growing volumes of data and need professionals who can harness its potential.

Validation of Proficiency:

Certification serves as a tangible validation of a professional's proficiency in Big Data and Hadoop. It signifies that an individual has not only acquired theoretical knowledge but has also demonstrated practical skills in utilizing Hadoop and related tools effectively.

Competitive Edge in the Job Market:

In a competitive job market, possessing a Big Data Hadoop certification sets individuals apart. Employers actively seek professionals with specialized skills, and certification provides a clear signal of a candidate's commitment to staying current and relevant in the field.

Benefits of Pursuing Big Data Hadoop Certification:

Enhanced Employability:

A Big Data Hadoop certification enhances employability by showcasing a professional's specialized skills. Whether seeking new opportunities or aiming for advancement within an organization, certification opens doors to a myriad of possibilities.

Global Recognition:

Certifications obtained through reputable Big Data Hadoop certification training providers carry global recognition. This global acknowledgment adds a universal credential to a professional's profile, making them sought after in a variety of job markets.

Networking Opportunities:

Certification programs often foster a community of learners. This provides participants with networking opportunities, allowing them to connect with industry professionals, share insights, and potentially open doors to mentorship or job referrals within the Big Data community.

Continuous Learning Support:

Reputable certification providers offer continuous learning resources, including access to updated materials, webinars, and forums. This ensures that certified professionals stay informed about the latest advancements in the Big Data and Hadoop ecosystem.

Conclusion:

In conclusion, enrolling in a Big Data Hadoop certification training course is a strategic investment in one's professional development. It not only imparts the skills needed to navigate the complexities of large-scale data analytics but also validates those skills through a recognized certification. With the ever-increasing reliance on data-driven decision-making, a Big Data Hadoop certification is the key to unlocking new career opportunities, standing out in a competitive job market, and contributing to the transformative power of data in the digital age. Elevate your expertise, gain a competitive edge, and become a certified Big Data and Hadoop professional ready to meet the challenges of the data-driven future.

[kurohe]

Things you can do to actively participate in the revolution

Here's the list !

I know some of those will look really silly, i promise they are not. And obviously, this is not a checklist, you don't have to do everything. But they're steps that you can absolutely take if you wish to, and they WILL help.

(i am continually correcting things when people point out mistakes. Thanks everyone for your help)

(under the cut !)

1) Let's start off with a very easy one you can do right now: stop using Chrome. It's a google owned browser, and it sents all of your data towards it. Mozilla is a very good replacement, but almost anything will do, really. Also, resign your amazon prime subscription. We revolting against capitalism as a whole, and this is a good first step to not freely give em your data and money

2) Start stealing things from supermarkets and malls. I am not kidding. Little things, that aren't really monitored: a can of food, a lighter, a pair of socks. Condiments are particularly easy to hide in bags or pockets. Steal hygiene products, steal food.

Remember that you should have access to those for free, and you don't because a few rich guys don't want you to.

Additional tip: train station stores are very easy to steal from, because they're so busy. But don't put yourself in danger. Check beforehand if they check bags at checkout, look out for employees that might notice what you're doing. Don't be reckless.

(edit: imma say this, you should read up on what the risks of stealing are, for you and others. Stealing from big stores is IMO always morally right, but it is risky for many reasons. Be careful)

3) In the same line, if you see someone stealing anything from a big store, no you didn't.

4) I know a lot of people are scared of disrespecting rules. By fear of being caught, or by guilt. My advice is: start disrespecting stupid, meaningless rules. I don't have specific exemples, but you'll encounter them and wonder why you're doing that. Stop doing it. This will train you to be able to disobey autority way easier.

5) Put stickers everywhere. If you already have them, go ham. Especially on public property (lamposts are amazing). If you don't, buy them from artists or independant stores, not big brands. If you cannot afford them, remember that you can simply write stuff on an A4 paper and plaster it to walls. Or even post its !

6) Carry a sharpie with you at all time, the big black ones. If you see propaganda, scribble it out. Keep a look out for terfs stickers, maga posters, etc. Also good for getting rid of transphobic and sexist stuff written on public restroom stalls !

7) Buy locally. This means going to the market or small stores, and thrifting your clothes. If you can't for money or accessibility reasons, try trading with your friends, family and neighbours. Get communication going in your circles, and you'll realise there are a lot of things that you can simply trade with or buy from people around you. Like a jar of jam against some eggs, or a pair of socks for a t-shirt you don't wear anymore !

8) Learn how to sew. I know, that sounds dumb ! But i promise you, not only will it be amazing to trade with other people ("i'll sew back ur shirt and in exchange, you give me a can of peaches !"), corporations also haaaate when you know how to fix your clothes. Because they want you to buy more. You'll spend a lot less money if you know how to fix em

9) If you have the space and the money, grow your own food, and share it or sell it around you. Be careful, some assholes will call the FDA on you. Do that with people you trust.

Additional tip: growing vegetables and fruits can be a real nightmare. You can absolutely start by just growing some basil or mint :)

10) Organise. Join leftist groups online, even if it's just to see what's being said, you don't even need to interact. Follow creators, repost and share their content. By doing that, you'll stay informed on group movements like strikes, protests and boycotts, which you can then participate in. It's very important you're connected to other ppl and the movements that are started !

11) Unionize. I'm very sorry I don't know the exact way unions work in the US, but if you can, join one. They will help you in times of needs, especially if you're a student or a worker. If you're not sure how to do that, absolutely ask around to people you know are very active politically, around you or online. People will help.

12) Stay. Informed. Follow independant papers and news outlet. If you can afford it, give them a dollar or two. They are fighting everyday for access to unbiased information for all, and sadly, their independance means that they rely almost entirely on donations and people simply engaging with what they put out.

If you can't access those: do not get your news from TV. Ever. Or anywhere else that has been bought by the far right. Sadly, the majority of TV channels are just the worst.

And, most importantly: fact check. All of the time.

13) Share that information. Talk to those you trust and who are ready to listen to you, and tell them about what's happening. Get angry with them. Revolution stems from people coming together and realising that they're being used and profited off of. Share videos and posts relating to politics, especially informative videos.

14) Go to protests ! If you've never been, i know it can be scary. But you can stay in the middle (don't go all the way to the front, that's where stuff can get heated) and scream and walk with everyone else. You'll meet people who, like you, want things to change. Capitalism wants you to stay as unconnected to others as possible, and that's a great way to fight that.

Sometimes, there are sites that have a planning for all protests happening in a city. Look up if one exists for yours

15) Create and strenghten community. I know i really struggled with this one, because it's so vague. But here's a few places you can start:

-Go and introduce yourself to your neighbours, if you deem it safe. Give them a little gift if you can afford it, like a pack of pasta.

-Make new friends, even if they aren't deep friendships. You need connections. Online or irl, both are fine- don't stay isolated.

-If you already have community, go check on them right now. Ask your friends how they're doing, and if they need anything- ask how they're being impacted by what's happening right now politically.

16) Look for ways to fuck over the institutions in easy ways. One example that went around tumblr a lot is letting dandelions grow in your backyard, because landlords fucking hate it. If you work in retail or fast food, cheat. Accidentally forget to scan the diapers. Put in 7 nuggets instead of 6.

(edit: been told that it's very risky for walmart workers to not scan things, so beware.)

17) Engage in art. MAKE art. Music, shitty paint drawings, craft, anything as long as you're being creative. Share it. If you feel like you can't do that, then support artists. Make a point to look up cool illustrations, and new music. Go to the cinema.

If you're an artist currently in an underpaid office job, please, by the love of god, be creative during office hours. You're underpaid, they do not deserve your full time and attention. Take 30 minutes to write that snippet you've been thinking about.

(and actually, if you're underpaid at all: do the minimum required. So that you can't be fired, but that's it. Any more effort is not worth it. Companies will never be thankful for what you do.)

18) Look up books that your state banned, and go read them. You can get them secondhand, or as pdfs online. (if anyone needs ressources, i will glady look for and share them.)

And, actually, read books in general if you can. Yes, fanfics count !

19) Seek education. There's a lot of youtube channels out there talking about educational subjects in a fun way. Some things the rich assholes who run the country specifically don't want you to learn more about are: biology, history and archeology, social and economic sciences. GO LEARN ABOUT THOSE.

The people in power don't want you to be educated. It's why they eviscerated the education system.

20) PIRATE. I cannot stress this enough, anything you can pirate (that isn't from small, indie creators, except if you absolutely can't afford it) do it. Download music illegally, torrent movies and games. If you want access to academical studies and papers, some writers will give them to you for free if you email them about it. There are also ways to go around paywalls.

21) Don't fall for the traps of "progressive brands". Lately, i've seen a lot of praise for Ben and Jerry's for openly supporting lgbtq rights and being globally anti-trump. They are still a brand. Avoid buying from any big names when you can. That being said, if you have to, check beforehand which ones and what their history is. Some are more evil than others.

Additional tip: a lot of brands you see in stores are actually owned by bigger brands. One prime example of this is Nestle, who are fucking evil, but they own a shitload of other big names. Be careful what you buy.

22) I hate to say this, but be prepared to defend yourself. Revolutions are never peaceful. You will get in danger. If you can, get in ok physical shape. Learn how to run fast and fight well.

If none of those are available options to you, please, make sure you have someone around you that will be able to protect you, or a place where you can be safe. Whether you are disabled, a minor, or anything else. Don't put yourself in more danger than is necessary.

(this used to also include getting a gun. I deleted it because i don't feel comfortable recommending this. But it's still an option.)

23) Last but not least, be kind. When someone cuts off a woman speaking, interrupt and give her the floor back. Shame those who think it's right to say bigoted shit in public. Listen to those around you. If you can't act, then remember to always have empathy for the homeless, for drug users, for immigrants. Understand they are people just like you. You are not immune to propaganda and prejudice, no matter who you are. Always question yourself and your biases.

(if you've read this far, please repost. We need this to reach as many people as possible)

I want to remind you that you're not alone. I know things seem hopeless, but the simple fact that you're reading this is proof it's not. I don't live in the US, but i'm supporting you as best i can from where i am, and sending you strenght.

If you have any questions, do ask away. I'll end on this image that's very dear to me:

[foultaledeer]

Croma Campus has established itself as a leading institute for Big Data Hadoop Training, renowned for its exceptional training programs in this field. Their Big Data Hadoop Online Course provides unparalleled education and comprehensive learning materials. An outstanding feature of this course is the interactive live sessions, enabling direct interaction between students and experienced instructors. By enrolling in this program, you will have access to top-tier education and comprehensive resources, allowing you to enhance your skills in the field of Big Data Hadoop.

[stra-tek]

Big random list of things that NEARLY happened in Star Trek with no context or citation...

Harry Kim was to appear in Picard season 3 as a Captain (possibly of the Voyager-B)

Sarek was to use the Guardian of Forever to go back in time to become Surak of Vulcan, in a Next Gen episode

An episode was pitched where an NX-01 med tech played by Alice Krige was captured and assimilated by the Borg, becoming their queen

A Star Trek movie was almost made about undoing the Kelvin Universe, and would have had Shatner and Nimoy appear

They considered having Will Riker die, Data become first officer and Thomas Riker the Ops officer in TNG's "Second Chances"

JJ Abrams wanted Nichelle Nichols to cameo as the mother of Zoe Saldana's Uhura

The first season of Enterprise was to be set on Earth, culminating with the launch of NX-01 at the end of the season

They considered a shock reveal in ENT season 4 that it was actually the Vulcans who split off from the Romulans, and Romulus was their original homeworld

William Shatner wanted to return as Kirk from the Mirror Universe, in an Enterprise episode that involved time travel and creating the mirror universe with the transporter

Elnor was going to "explore his sexuality" in early Picard season 2 plans, before a change of showrunner and his character mostly vanishing

The ENT writers wanted Shatner to play Chef, a Kirk look-a-like hired by Daniels and trained to act Kirk-like to give an important speech at some point in history the real Kirk is mysteriously absent from

Data was originally created by mysterious aliens, and was to have a twin sister

Prodigy season 2 writers discussed having Chris Pine's Kirk from the Kelvin universe join the crew for a few episodes

In the originally filmed cut of Star Trek: Generations, Kirk is shot in the back and dies

Very early discussions for what eventually became Star Trek: Picard considered an adaptation of the Star Trek: Destiny novel trilogy

These discussions span off from a Short Treks pitch where a young cadet Jean-Luc Picard met Nichelle Nichols' Uhura

Early plans for the 2009 movie had wholesale destruction of the Prime universe, including the destruction of Earth. Thank Perpetual Entertainment for getting the destruction scaled back to Romulus so Star Trek Online had a Federation left to feature

There's was a story treatment written for Star Trek III: The Search for Spock where Spock stays dead

This one might be a little sus, but Christopher Pike in Discovery season 2 was planned to be very religious and fall to his knees at one point before the Red Angel, and clash with Michael over science vs faith

Early ideas for Star Trek Into Darkness had Benedict Cumberbatch as Robert April, former Enterprise captain turned rogue

Seven of Nine was going to sacrifice herself in order for Voyager to get home

A time travel Justice League of Trek movie by Brent Spiner, bringing together all eras of goodies vs all eras of villains, was considered

Spock shot JFK to fix the timeline in a proposed sequel to The Motion Picture

Ripper/Ephraim was originally going to be a regular, if giant tardigrade, crewmember on Discovery

Prior to Leonard Nimoy's involvement in what would become the 2009 Star Trek movie, a story outline was written about prime-universe cadets Kirk and Spock, in a story inspired by TNG's "The First Duty"

The Enterprise crew went through a black hole, back in time and introduced primative man to fire in another 70's movie script

A TNG movie was written where Picard summons a hologram of James T. Kirk for advice

George Kirk was to be found in the pattern buffer of the wrecked U.S.S. Kelvin 30 years later and resurrected

Voyager's EMH was originally to take on the name of his creator early on in the show, and the first Voyager novels call him "Doc Zimmerman" assuming it would have happened by publishing time

There's concept art where the U.S.S. Cerritos is a Galaxy-class starship

Riker was planned to dislike Data, and treat him poorly because he was an android

They considered making Troi's loss of powers in "The Loss" a permanent thing, because of how much hassle they caused the writing staff

Harry Kim wasn't originally planned to survive Species 8472

[cavillionlearning]

Tech Tip Tuesday: Boost Tableau Performance with Context Filters

Boost the performance of your Tableau dashboards by using Context Filters! ⚡ This trick helps you manage multiple filters more efficiently, making your data visualisations faster and smoother.

[rohirric-hunter]

Tell us another story from your security guard days

You learned as a patroller (or any other position that actually worked in the location we were guarding) that the alarms never worked properly. However, the people in Security Control, who were supposed to remotely manage the alarms, believed wholeheartedly and blindly in their infallibility.

One day, while I was operating a metal detector out of the data center floor, a trained monkey (my semi-fond semi-condescending nickname for Google employees) came out of the data center and said, "There's a fire in there."

"Okay," I said. There was a patroller passing by at the moment, and I waved him over and asked him to go onto the DC floor to take care of the fire.

He looked at me like I was crazy and said, "What am I supposed to do about it?"

"Find out where it is?" I said. (The trained monkey did not know, and had apparently seen it some fifteen minutes prior and chosen to finish up whatever he was doing before going and alerting anyone else about it.) "Report it to the supervisor and ask him to call the fire department? Put it out, if it's small enough?"

"I don't know how to use a fire extinguisher," he said, which was an interesting thing for him to say considering every security guard there had mandatory annual fire extinguisher and first aid training.

"Okay," I said. "Then take over my post."

"I'm about to go to lunch," he said.

I picked up my radio and reported to the supervisor that he had taken over my post. (If the post was later found unattended it would be on him, at that point.) Then I went onto the DC floor.

The fire was not big, but it was loud, so I was able to find it without much trouble. One of the servers had caught on fire somehow. I called Security Control and told them there was a fire and where it was.

"No there isn't," Security Control said.

"Yes there is," I said.

"There are no alarms going off," Security Control said.

"There sure aren't," I said. "But I'm looking at a fire right now."

"There can't be a fire," Security Control said. "There's no alarm."

I put my radio back on my belt, deciding I had better deal with the problem before it got bigger, and quickly put the fire out (using my mandatory annual fire extinguisher training). Then I radioed my supervisor and reported the fire. Fortunately he was a cool guy who believed me and had my back about it and I got to listen to him chew out Security Control for the rest of the day about the alarm system and the seriousness of fires and the proper protocol for dealing with fires.

That's why you always always always back up anything you have stored on Google Drive or any of their other online storage services. Or like. Just don't use them at all.

[scholarnest]

Transform Your Team into Data Engineering Pros with ScholarNest Technologies

In the fast-evolving landscape of data engineering, the ability to transform your team into proficient professionals is a strategic imperative. ScholarNest Technologies stands at the forefront of this transformation, offering comprehensive programs that equip individuals with the skills and certifications necessary to excel in the dynamic field of data engineering. Let's delve into the world of data engineering excellence and understand how ScholarNest is shaping the data engineers of tomorrow.

Empowering Through Education: The Essence of Data Engineering

Data engineering is the backbone of current data-driven enterprises. It involves the collection, processing, and storage of data in a way that facilitates effective analysis and insights. ScholarNest Technologies recognizes the pivotal role data engineering plays in today's technological landscape and has curated a range of courses and certifications to empower individuals in mastering this discipline.

Comprehensive Courses and Certifications: ScholarNest's Commitment to Excellence

1. Data Engineering Courses: ScholarNest offers comprehensive data engineering courses designed to provide a deep understanding of the principles, tools, and technologies essential for effective data processing. These courses cover a spectrum of topics, including data modeling, ETL (Extract, Transform, Load) processes, and database management.

2. Pyspark Mastery: Pyspark, a powerful data processing library for Python, is a key component of modern data engineering. ScholarNest's Pyspark courses, including options for beginners and full courses, ensure participants acquire proficiency in leveraging this tool for scalable and efficient data processing.

3. Databricks Learning: Databricks, with its unified analytics platform, is integral to modern data engineering workflows. ScholarNest provides specialized courses on Databricks learning, enabling individuals to harness the full potential of this platform for advanced analytics and data science.

4. Azure Databricks Training: Recognizing the industry shift towards cloud-based solutions, ScholarNest offers courses focused on Azure Databricks. This training equips participants with the skills to leverage Databricks in the Azure cloud environment, ensuring they are well-versed in cutting-edge technologies.

From Novice to Expert: ScholarNest's Approach to Learning

Whether you're a novice looking to learn the fundamentals or an experienced professional seeking advanced certifications, ScholarNest caters to diverse learning needs. Courses such as "Learn Databricks from Scratch" and "Machine Learning with Pyspark" provide a structured pathway for individuals at different stages of their data engineering journey.

Hands-On Learning and Certification: ScholarNest places a strong emphasis on hands-on learning. Courses include practical exercises, real-world projects, and assessments to ensure that participants not only grasp theoretical concepts but also gain practical proficiency. Additionally, certifications such as the Databricks Data Engineer Certification validate the skills acquired during the training.

The ScholarNest Advantage: Shaping Data Engineering Professionals

ScholarNest Technologies goes beyond traditional education paradigms, offering a transformative learning experience that prepares individuals for the challenges and opportunities in the world of data engineering. By providing access to the best Pyspark and Databricks courses online, ScholarNest is committed to fostering a community of skilled data engineering professionals who will drive innovation and excellence in the ever-evolving data landscape. Join ScholarNest on the journey to unlock the full potential of your team in the realm of data engineering.

[mariacallous]

The Trump administration’s Federal Trade Commission has removed four years’ worth of business guidance blogs as of Tuesday morning, including important consumer protection information related to artificial intelligence and the agency’s landmark privacy lawsuits under former chair Lina Khan against companies like Amazon and Microsoft. More than 300 blogs were removed.

On the FTC’s website, the page hosting all of the agency’s business-related blogs and guidance no longer includes any information published during former president Joe Biden’s administration, current and former FTC employees, who spoke under anonymity for fear of retaliation, tell WIRED. These blogs contained advice from the FTC on how big tech companies could avoid violating consumer protection laws.

One now deleted blog, titled “Hey, Alexa! What are you doing with my data?” explains how, according to two FTC complaints, Amazon and its Ring security camera products allegedly leveraged sensitive consumer data to train the ecommerce giant’s algorithms. (Amazon disagreed with the FTC’s claims.) It also provided guidance for companies operating similar products and services. Another post titled “$20 million FTC settlement addresses Microsoft Xbox illegal collection of kids’ data: A game changer for COPPA compliance” instructs tech companies on how to abide by the Children’s Online Privacy Protection Act by using the 2023 Microsoft settlement as an example. The settlement followed allegations by the FTC that Microsoft obtained data from children using Xbox systems without the consent of their parents or guardians.

“In terms of the message to industry on what our compliance expectations were, which is in some ways the most important part of enforcement action, they are trying to just erase those from history,” a source familiar tells WIRED.

Another removed FTC blog titled “The Luring Test: AI and the engineering of consumer trust” outlines how businesses could avoid creating chatbots that violate the FTC Act’s rules against unfair or deceptive products. This blog won an award in 2023 for “excellent descriptions of artificial intelligence.”

The Trump administration has received broad support from the tech industry. Big tech companies like Amazon and Meta, as well as tech entrepreneurs like OpenAI CEO Sam Altman, all donated to Trump’s inauguration fund. Other Silicon Valley leaders, like Elon Musk and David Sacks, are officially advising the administration. Musk’s so-called Department of Government Efficiency (DOGE) employs technologists sourced from Musk’s tech companies. And already, federal agencies like the General Services Administration have started to roll out AI products like GSAi, a general-purpose government chatbot.

The FTC did not immediately respond to a request for comment from WIRED.

Removing blogs raises serious compliance concerns under the Federal Records Act and the Open Government Data Act, one former FTC official tells WIRED. During the Biden administration, FTC leadership would place “warning” labels above previous administrations’ public decisions it no longer agreed with, the source said, fearing that removal would violate the law.

Since President Donald Trump designated Andrew Ferguson to replace Khan as FTC chair in January, the Republican regulator has vowed to leverage his authority to go after big tech companies. Unlike Khan, however, Ferguson’s criticisms center around the Republican party’s long-standing allegations that social media platforms, like Facebook and Instagram, censor conservative speech online. Before being selected as chair, Ferguson told Trump that his vision for the agency also included rolling back Biden-era regulations on artificial intelligence and tougher merger standards, The New York Times reported in December.

In an interview with CNBC last week, Ferguson argued that content moderation could equate to an antitrust violation. “If companies are degrading their product quality by kicking people off because they hold particular views, that could be an indication that there's a competition problem,” he said.

Sources speaking with WIRED on Tuesday claimed that tech companies are the only groups who benefit from the removal of these blogs.

“They are talking a big game on censorship. But at the end of the day, the thing that really hits these companies’ bottom line is what data they can collect, how they can use that data, whether they can train their AI models on that data, and if this administration is planning to take the foot off the gas there while stepping up its work on censorship,” the source familiar alleges. “I think that's a change big tech would be very happy with.”