#extract data from domino database

[creatitydevelop]

Enjoy optimal performance with Mendix application development

The fast processing age is asking for more rather than traditional techniques to sustain your business. Mendix application development carries 6 times higher productivity in comparison to other old style software. Your customized planning and way of conducting your plans has to be acute to the needs of your customers. The solutions are face lifted with responsive design. Hence, it makes it functional to all your devices whether it is mobile, desktop or tablet.

[kimgates07]

FinTech + SME Automation Solutions

When Fintech first started providing automation solutions to

SMEs and MSMEs

, they started with the basic processes, i.e., documentation of all transactions and financial bookkeeping. Both these processes had always been manual and were prone to errors. Fintech not only reduced the margins of error but also freed up the time consumed in preparing these reports and statements. It brought down costs to a great extent and it was then that SMEs started embracing fintech into their flanks.

But Fintech is not only the SME sector's ticket to financial automation, but also is it's the ticket to greater financial freedom. By providing quick and easy loans to small and medium enterprises,

Fintech has helped this sector flourish

to a great extent.

Handling finances efficiently is one of the most crucial factors for business success. Hence, SMEs that can manage their finances efficiently, have a higher chance of achieving success and exponential growth.

Fintech can aid SMEs with this matter. With financial automation solutions of various kinds, Fintech can help SMEs save money, time, and optimize available resources; three things that are crucial to any business’s success.

In this article, we look at the types of SME automation solutions that Fintech has brought about to make handling finances easier for them.

Point-of-Sale (PoS) Management System

While small and medium enterprises do have some free and regular software at their disposal to handle sales and accounting, like MS Excel or copybooks, they do realize that these methods of accounting are not only error-prone but also resource consuming. Fintech then brought about a cost-efficient automated solution, with an intuitive user interface, that would make using it easy and error-free. Thus, the new generation of online

PoS management system

came into being.

Here’s a look at the different ways automated solutions can be used by SMEs in the retail industry:

1. Gathering employee performance details and carry out employee analysis

2. Monitoring and stocking its inventory movement

3. Customer database management (purchase history, contacts, preferences, and loyalty)

4. Feedback collection & analysis (multichannel)

5. Strategizing marketing campaigns

6. Developing loyalty programs

7. Creating automated advertising, for example, through SMS ads

8. Handling bookings and reservations (service industry, specifically)

9. Selling through e-commerce channels and via social media

Every time the cash register dings, SMEs can collect valuable data relating to the customer, finances, stock, employee performance, and consumer behaviour, all at one go, using automation software. They follow an entire domino sequence, with every bit of information working together to give the business a look into the larger picture that will help them create winning strategies to help grow their business further.

Tablet-based cash registers

Gone are the days of the bulky cash registers that would scan prices, open up the drawer for change, and print out the receipt. SMEs now understand the importance of both aesthetics and functionality when it comes to the cash register. This important business tool should be easy to manage and should also perform more functions than just securing the cash and printing receipts. Not only are these old cash registers less efficient, but they happen to be more expensive, too.

Fintech automation solutions thus brought about the tablet-based cash register. Sleek and super functional, these cash registers are based on tablets and run on a completely different system altogether as compared to their older counterparts.These new-age cash registers use cloud-based SaaS and have the ability to save a copy of every transaction for future reference. Also, these are scalable, which means that SMEs can easily control how much bandwidth they need and pay as per usage. This feature makes it extremely attractive for SMEs, as it allows them to pay for only the amount of service they are using and not getting overcharged during low sales periods.

The older cash registers were mainly cash storing devices. With digital and online payments, that is not much required a service anymore. But what is required is to be able to extract and store information which will help in creating marketing and sales strategies that will help boost sales further and also attract new clients. The new generation cash registers help SME entrepreneurs do that by storing customer preference data, aiding inventory analysis, and boosting overall employee productivity.

Mobile Point of Sale solutions (mPOS)

The newest form of cash registers come with inbuilt card readers. This software helps SMEs in the following industries:

Cabs & transport – Drivers can easily help customers pay for their trips using their credit cards if they do not have access to digital wallets, for any reason.

Restaurant – mPOS help waiters save time on going back on forth with the bill and the card machine to realize payments every time.

eCommerce and delivery – eCommerce these days see a barrage of cash on delivery orders where the customers would prefer to pay via card. mPOS is a great way for small delivery and couriers to realize payments for such purchases, thereby speeding up the entire process.

Some other automation that has aided payment processes for the service and eCommerce industry are:

Automatic bill split – which helps multiple customers sharing a service, split the total amount and pay using their cards.

Custom invoicing software

– This feature allows SMEs promote their brand instead of that of the banks. The software also provides the following benefits to SMEs:

• Mobility

• Safety

• Low cost

• Functionality

• User-friendly interface

• Ability to edit easily

Here

are some more reasons why SMEs should consider customized invoicing.

Tips directed straight to the employee’s account – Instead of receiving the payment, recording it and then transferring it to the employee, automation solutions can help customers pay tips directly to the employee’s bank account.

These examples of SME automation software not only make receiving payments easier for SMEs but also help in

collecting vast amounts of data, which fintech has been using to create better and more focused solutions for the future

.

Loyalty innovations solutions

In this fast-paced, competitive market, customer retention is key to continued growth. The cost of gaining a new customer is too high, as compared to the cost of retaining one. Still businesses, in the search of new customers, often forget to delight and retain the present ones, thus losing them to competitors.

Fintech being a visionary in the space of financial modelling has recognized this flaw and addressed it with new-age loyalty solutions. These automated solutions use technology such as AI, ML, gamification, and digital labour to provide ultimate loyalty solutions which can help SMEs retain their clients in the long run.

Making the collection of complaints and redressals for the same easy and quick is one of the best ways to ensure customer loyalty. With quick responses and solutions to their issues using coupons, benefits, or easy refunds, SMEs can retain their customers who might be on the verge of leaving.

Automating interaction is yet another way to boost customer retention. By using chatbots to answer initial queries until a customer care representative takes the call, helps address the basics of the customer query, without them waiting at the other end of the AVR.

Whether a business is planning to boost referrals or trying to get their current customers to extend their subscription using promotions such as ‘Buy 1 Get 1’ or ‘Get 20% off,’ fintech automation solutions have made these task as easy as just clicking a button for SMEs using fintech-based software.

Fintech helps SMEs move to the digital space

SMEs that want to win the market in today’s date need to realize the importance of establishing an online presence. Millennials and Generation Z are comfortable shopping online. Whether it is a service or a commodity; apps and browsers are the go-to places for them to find out the same.

Many SMEs that have been working out of a retail space or brick and mortar set up might be wondering how to get their current customer base to move to their online setup. One of the best ways to do it is how Tesla did it. Turn stores into experience centres and let customers experience the products at the showroom. They still have the option of buying the product right there. However, if they buy the product from the online store, they will get a certain amount of discount. This will slowly push current clientele to the digital space where it will become easier for the SME to handle sales and automate all related processes that are currently being handled manually.

Conclusion

SMEs form 90% of the businesses worldwide

and contribute to 50% of total employment, globally. It is important that such a crucial sector is nurtured and is benefitted by the best there is to boost their growth further. Fintech automated solutions have helped them achieve that and there’s still a long way to go. The sooner more SMEs come into the Fintech fold, the sooner they will realize the benefits of optimum resource utilization, i.e., getting a lot more done with a lot less.

[charlieharry1]

How Econometrics Helps Us See the Bigger Picture

Sudbury Neutrino Observatory (SNO) is a subatomic particle detectors are very sensitive suspended two kilometers underground in a nickel mine in Northern Ontario. Shielded from background  Digital Marketing Company Southampton radiation at the earth's surface, which makes it possible to precisely measure SNO subatomic particles are most abundant in the universe, the neutrino.

SNO exemplifies a purely scientific observation: recording of data with limited interference from uncontrolled variables. This valuable data is used to verify, challenge, or improve our theories about how the world works. The pioneering SNO help unlock the mysteries of the Big Bang and the material itself, the project director earning a Nobel Prize for Physics in 2015.

Pure science is as admirable as it is demanding, requiring complicated equipment, sterile laboratory, exhausting peer review / replication, ridiculously educated experts, and financing. Do not let them sexy TED Talks fool you-the real science is difficult, meticulous, mentally-demanding marathon.

digital marketers as scientists With access to an inexhaustible reserve of data, highly skilled resources, and tools such as Adobe's advanced testing and Optimisely Audience Lab, it is easy to see why the modern digital marketers begin to feel like a scientist. It's just a shame that we will never be a scientist. This is not due to a lack of tools, talent, or money, but it we run our experiments on the surface in a fantastic dynamic system and a complex called the economy.

Women with lab coat looking into a microscope

Most of the data points to analyze today's marketers describe a man tapping, clicking, scrolling, or speaking into the computer. This happens in all sorts of contexts: in shops, in the basement apartment, during a meeting, behind Übers, or when leaving the marketing blog post. And each of these actions can be influenced by the weather, the mood of a person, by the labor market, or with something that Kanye West just tweeted.

Read Also:-  Top 10 SEO Keyword Research Tools for marketers

Accounting for these variables not only the next-to-impossible: it disturbing and immoral. But as an industry, we are still trying to be more data-driven due to perform. In this case "move fast and break things" digital era where religious pursuit interference infect virtually all markets, academic rigor needed to be scientifically will always be a bridesmaid for the promise of direct benefit in the performance of the media.

Instead of aspiring to be scientists, we have to start thinking more in terms of econometrics.

What is econometrics? Econometrics is an applied science that extract quantitative relationships (called estimator) in economic data observed. If the interest rate changes by X%, what can we expect to see in a condominium supply in a city? If the gasoline tax increased by Y% and how this may affect an individual's driving habits? Econometric attempts to answer the questions.

Dominoes falling in a row

We never could nail down the relationship is exactly the same, so the game is to use the data available to the estimator uncover reliable (people become more reliable with more data) that will be used in models that explain what we see and produce generally successful predictions.

As digital marketers, we are uniquely positioned to apply the technique library web analytics data microeconometric very granular us. The variables that are not listed or not perfectly observe that bear individual actions (eg, mood, preference, Kanye)? We absorb these factors as a public nuisance or noise in our model.

For those with experience in the subject, so far it seems like a statistical model of the garden variety, is not it? We usually  Digital Marketing Companies Southampton  exclude such factors of our model and rely purely on what is produced in a media platform or CRM database.

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[allanwalkerit]

I did it my way. (With a Little Help from My Friends)

‘I planned each charted course Each careful step along the byway And more, much more than this I did it my way’ - Sinatra

Over the last three years, I’ve built out some proof-of-concept data visualization applications for some large scale Enterprise clients, across a multitude of vertical markets.

These have included, in no particular order:

Semi-conductor manufacturing

Wearable technology manufacturing

Pharmaceutical distribution

Financial

Oil & Gas

Retail

Consumer Hardware & Software

Mobile Communications

Energy Utility

Without exception, every Enterprise client presented similar challenges - namely, how to visually represent data at scale in an insightful, and actionable format.

Here is my methodology.

I adopted a Data strategy:

Data as a service,

ETL as a service,

Data Science as a service, and

Data Visualization as a service.

Data as a Service (DaaS)

Data Acquisition

Technology is making acquiring data in an more automated manner arguably easier and relatively cheaper, increasing the volume and velocity of data produced. 

SCADA (Supervisory control and data acquisition devices), Bank ATM’s, merchant credit card swipe terminals, website forms, and sensors - such as Infra-red, Radar and Sonar - even when you compose a tweet...all examples of data acquisition. 

With more and more IoT (Internet of Things) devices becoming available, automation of data collection is becoming more even more universal and ubiquitous.

Data Storage     

If a record has a time-stamp, it can be recognized as an event, or a transaction; i.e. something happened at this time, on this day, in this month, in this year.  These records are (normally) stored in a database.

That was my bread and butter, making sense of events that have happened - or, what was happening in (near) real-time.  In recent engagements, it’s the latter that seemed to be more pervasive - sustaining ‘live’ data connections that are capable of very fast refresh rates - sometimes on a per second basis (but more often than not, updated daily).

Data as a Service at the Enterprise meant I’d be connecting to a “Data Lake” such as Hadoop/Hive, a Teradata warehouse on-premise database, or a cloud database like Redshift on the Amazon Web Services platform. 

Alternatively (or sometimes additionally), I’d be connecting to ‘NoSQL’ databases like Mongo and Cassandra, while location data was held in GIS (Geo-spatial Intelligence Software) databases like PostGIS or ESRI. 

There were also databases that are designed to take advantage of in-memory technologies, and are suited to analytical applications; such as SAP Hana, Memqsl, and Snowflake. 

My preferred solution for the foundation of a Data as a Service based architecture is Exasol, because it is proven to be capable of performing analytical tasks at scale, leveraging massively parallel processing and in-memory technologies, enabling rapid responses to intensive queries over massive data sets.  

ETL (Extract, Transform, Load) as a Service

‘Extracting’ reads data from a source database (and potentially multiple other sources), ‘Transforming’ is the process of converting this data (joining, unions, performing calculations, cleansing and aggregating) and ‘Loading’ writes to the target database (or writing back to the source).

Business Intelligence applications such as Tableau, Qlik, and Microstrategy often require data to be ‘shaped’ or ‘structured’ in a certain way; usually in a columnar format.

This used to be an arduous task - involving writing batch scripts - but no longer.  There are a plethora of enterprise ETL solutions available such as AWS Glue, Apache Kafka and Informatica.

My preferred solution for the basis of an ETL as a Service based architecture is Alteryx, because it is proven to be capable of extracting data from multiple sources - including Hadoop/Hive, Mongo, ESRI and Exasol. 

Using an intuitive drag and drop GUI (Graphical User Interface) - it is possible to develop a repeatable, re-usable data transformation as an automated process (also known as a workflow) that can be run on a scheduled basis.

Data Science as a Service

Traditionally, Enterprises would refer complex analytical and statistical tasks such as predicting, modelling, forecasting and so forth to highly skilled data scientists.

It is now possible to automate some of these complex tasks - on Platforms like IBM DSx (accessing tools like Watson ML & Apache Spark), and AWS Domino (accessing tools like Python, Julia & Matlab) but my preference is again, Alteryx, because it is proven to be capable of generating highly accurate predictive models, simulations and forecasts (using the open source R) at scale, as an automated process.

Data Visualization as a Service

There are many Data Visualization tools and libraries available:  IBM Cognos, Plotly, Microsoft PowerBI - but here I have three preferences, and sometimes, depending on the scenario and use-cases, I’ll combine all three.

Tableau is proven to be capable of plotting huge amounts of data points on a HTML Canvas. The Server JavaScript and REST APIs (Application Programming Interfaces) allow integration with responsive design Bootstrap web applications and a consistent library of user interfaces.  Combined with an Exasol database connection, Tableau is capable of querying multi-million high granularity records - for example transactions - allowing for interactivity over multiple plots/charts.

D3 is my preference if I am using low granularity or summary data. Instead of a server responding to a query and returning that response, d3 downloads and processes data client side, in a browser.  D3 is capable of drawing elements on an HTML Canvas or rendering SVG (Scaleable Vector Graphics).  It is cross-browser, platform agnostic, and ultimately, the most flexible library which allows for full customization.

Mapbox is my preference if I am using location data.  It is capable of rendering multi-million data points using vector tiles, which can be queried client side in a browser.

User Experience/User Interface (UX/UI)

jQuery UI  is my preference for a consistent User Interface library. I use Bootstrap to develop responsive design web applications.  I typically use client CSS and style guides to comply with typography, color palette and brand guidelines for the application.  

Charts and graphs typically remain in a grayscale color palette, with chart types conforming with Tufte/Few guidelines.

Example #1

Scenario: Four Dimensional Seismic Survey

Use-case: Predict magnitude of seismic activity over time for the different formations (horizons) in the anticline, and compare with actual values. 

Example #2

Scenario: Fleet Credit Cards 

Use-case: Predict churn and retention over time for different retail sites and compare with actual values, making the last data point actionable (alert site manager upon difference to target and/or outside normal parameters).

Example #3

Scenario: Demand and supply of products over time for different markets

Use-case: Predict origin and destination locations of logistical assets and compare with actual values over time, to inform a forecast model of product supply and demand.

Of course, I was being my normal flippant self when I sang ‘I did it my way’.  I had more than a little help from my friends - you know who you are of course, because I’ve tipped my hat to you on many occasions in previous blog posts.

‘What would you do if I sang out of tune? Would you stand up and walk out on me? Lend me your ears and I'll sing you a song I will try not to sing out of key’ - Lennon/McCartney

The communities

Over the last three years, I’ve learned a lot from developers in various communities: 

The twitter-verse of data visualization practitioners, 

The Tableau community forum, 

The Alteryx community forum,

GIS Stack Exchange,

Stack Overflow,

GitHub,

Behance,

Dribbble, and

Codepen

‘What would you do if I sing out of tune, Would you stand up and walk out on me?‘

The Tableau ‘community’ as of late 2017, seems to be going through a radical period of introspection.  When I say ‘Tableau community’ - I’m really referring to the ‘Tableau twitterati’ - not the community forum participants per-se, but cliques such as MakeoverMonday and Women + Data, and the ultimate Tableau coterie - Zen Masters.  

In fact, Tableau themselves referred to these groups as ‘tribes’.

A culture, or sub-culture, can form behaviors and attitudes that stem from attachment and perceived loyalty to that clique.  Sectarianism is synonymous with tribalism, and is often an consequence of division.

When I read tweets haranguing other practitioners about plagiarism, and read blog posts with political statements to underpin an opinion, or examples of promoting gratuitous and egotistical self promotion, it gives me great pause for concern, and it’s very tempting to stand up, and walk out the door in disgust at what the community not only regards as acceptable, but normal.

‘Lend me your ears and I'll sing you a song, I will try not to sing out of key’

I recommend that Tableau shutters the Zen Master program, and instead, promotes and grows the Tableau Foundation Data Fellowship.

I recommend that the Makeover Monday leadership and participants re-focus their efforts by contributing to the Tableau Foundation Projects and develop towards meeting the Sustainable Development Goals, volunteering their time to the Tableau Service Corps.

I recommend that Tableau welcome Women + Data members on the board of their diversity committees and judging panels of the ‘IronViz’ competitions and feeder contests.

I believe that these recommendations would foster an inclusive, collaborative culture, rather than accepting and promoting sectarianism as a norm; and would re-energize the wider Tableau community. 

[siva3155]

300+ TOP CloverETL Interview Questions and Answers

CloverETL Interview Questions for freshers experienced :-

1. What is CloverETL? CloverETL is a Java-based data integration ETL platform for rapid development and automation of data transformations, data cleansing, data migration and distribution of data into applications, databases, cloud and data warehouses. The product family starts with an open source runtime engine and limited Community edition of visual data transformation Designer. 2. What is ETL? ETL stands for Extract-Transform-Load – a data processing operation that performs data manipulations, usually on-the-fly, while getting (extracting) data from a source or sources, transforming it, and storing into target(s. For more information, see the Wikipedia page for ETL. 3. What is data integration? Data integration is a broad term used for any effort of combining data from multiple sources into a more unified and holistic view. It usually involves several operations, such as ETL, orchestration, automation, monitoring and change management. 4. What's the difference between ETL and data integration? ETL is a form of data integration where data is transformed during transport between sources and targets. While "pure" ETL is focused on the actual transport, data integration usually refers to a broader task of managing ETL tasks, scheduling, monitoring, etc. 5. Why use an ETL tool and why CloverETL in particular? ETL or data integration tools replace ad hoc scripts that you would use to transport data between databases, files, web services etc. Over time, these become very difficult to manage and are prone to errors. ETL tools provide you with visual tools to manage, monitor, and update data transformations with ease. CloverETL in particular is a rapid data integration tool oriented to get your job done quickly. 6. What is CloverETL Designer? CloverETL Designer is a visual tool for developing, debugging, and running data transformations. 7. What is CloverETL Server? CloverETL Server is an automation, orchestration and monitoring enterprise platform for data integration. 8. What is CloverETL Cluster? CloverETL Cluster allows multiple instances of the CloverETL Server to run on different HW nodes and form a computer cluster. It allows for high availability through fail-over capabilities, scaling via load balancing, and processing of Big Data through a massively-parallel approach. 9. Which platforms or operating systems does CloverETL run on? CloverETL runs on any platform/operating system where Java 1.6 or later is supported. This includes Windows, OSX, Linux, various UNIX systems and others. 10. Is there a free option for CloverETL? Yes. There is a 45-day fully featured trial for CloverETL Designer and a trial CloverETL Server (contact sales@cloveretl.com. There is also a completely free, but feature-limited CloverETL Community Edition.

CloverETL Interview Questions 11. When and how are new versions released? There are two major production releases every year. Before each production release, there are two milestone releases that allow early access to new features from the upcoming production version. Production releases are sometimes replaced with bugfix releases that come as needed. 12. What are milestone (M1, M2) releases? Milestone releases provide early public access to features that we're working on for the upcoming production release. You can use milestones and their new features to develop, test, and provide us with feedback. However, milestone releases are not covered by CloverCARE support, so we do not recommend putting them into a mission critical deployment. Major changes that can affect existing transformations are usually published in early milestone versions so that you have plenty of time to adapt to possible incompatibilities. 13. Do I need to renew CloverCARE? Your CloverCARE support is covered by an 20% annual maintenance fee that grants you access to product updates and standard CloverCARE support. To continue receiving upgrades and support, you need to renew your maintenance every year. 14. Are there any discounts (academic, non profit, volume) available? We can offer discounts for various types of organizations and businesses. We can also offer volume deals. Please contact our Sales at sales@cloveretl.com or via this Contact Us form. 15. What makes CloverETL stand out against SSIS/Talend/Pentaho? CloverETL is a rapid data integration tool. Our main goal is to provide our users with a tool that helps them achieve results quickly, without having to spend time on training, learning, etc. Starting from our examples, you can begin building data transformations quickly. CloverETL is also sharply focused on data integration – it’s a light-footed, dedicated tool. 16. What is CloverCARE and what does it include? CloverCARE is our support package included in every commercial deal. Members of our support team are professional experts who are using CloverETL themselves – no outsourcing, no frustrating phone calls. We also support evaluating users during their trial period. CloverCARE offers email, phone, and WebEx support at various SLAs. Please refer to our CloverCARE Support page for more details. 17. Which versions of application servers does CloverETL Server support? Currently CloverETL supports Apache Tomcat 6.0.x, Glassfish 2.1, JBoss 5.1 or JBoss 6.0, Jetty 6.1.x, WebLogic 11g (10.3.6), WebLogic 12c (12.1.1), Websphere 7.0 18. Can CloverETL be embedded in my product? The short answer is yes. CloverETL technology can be embedded in various ways. You can embed CloverETL Designer, CloverETL Server or even just the data processing engine running under the hood. Some of our customers also use white-labeled CloverETL technology in their product offerings. For additional details, please read our OEM section. 19. How scalable is CloverETL? CloverETL technology scales really well. You can start with the CloverETL Designer running on your laptop processing thousands of records then move onto the CloverETL Server with its automation capabilities to crunch millions of records. If you happen to hit any Big Data problems, then the CloverETL Cluster is able to cope with any data volume through its massively-parallel data processing capabilities. 20. Does CloverETL support Big Data? CloverETL technology naturally fits the processing of Big Data. Its inherent pipeline-parallelism and massively-parallel processing facilitated by CloverETL Cluster allows you to cope with Big Data problems. It’s also able to cooperate with other Big Data related technologies like Hadoop, Hive, and others. 21. What kind of data can I process in CloverETL? CloverETL can process any structured or semi-structured data whether stored in a database, file, or other system. Data sources and data targets alike can be a combination of various independent databases and files. 22. How do I get my newly purchased licenses? You'll receive an email with your account information (email and password) that you can use to Sign In here. From there, navigate to Licenses & Downloads where you can get both license keys and download all the software. 23. How do I transition from Designer to Server? There is a direct upgrade path from the desktop Designer to the Server environment. Your already existing work can be transferred to the Server without any additional effort. Designer manages projects in workspaces on your local drive. You can simply export these to Server sandboxes (via File > Export > CloverETL > Export to CloverETL Server sandbox) and continue working remotely on the Server. 24. How do I transition from Server to Cluster? CloverETL Cluster is basically a bunch of Server instances connected together into a single cluster. When you move into Cluster, we recommend reading about various types of sandboxes and how to process data in parallel 25. I purchased CloverETL, but my license is set to expire in two months. Why? If you feel there's been an error, please contact our Sales at sales@cloveretl.com or via this Contact Us form. Usually we issue temporary licenses immediately once a Purchase Order is received. We then replace the temporary licenses with unlimited ones once the payment is processed. 26. My evaluation license expired. Is it possible to extend the evaluation period? Yes, you can ask for trial extension here. 27. Do you have any plans for selling the company or being taken over? Our mission is to be a leader in data integration and stay true to providing high quality product and services. You can read more in this CloverETL Manifesto. 28. What files are supported? You can process virtually any file containing data, including delimited files, fixed-length record files, binary files or mix of these. Popular file formats are also supported: Excel XLS/XLSX, XML, JSON, dBase DBF, emails, Lotus Notes Domino. 29. What databases are supported? CloverETL supports standard relational databases via JDBC. Others include Oracle, Informix, Microsoft SQL Server, Access, MySQL, Postgres, Sybase, etc. Also, some modern NoSQL or columnar databases are supported too, e.g. MongoDB, Exasol, HP Vertica, HDFS or S3. 30. Can I read and write remote files (FTP, SFTP, HTTP/S, etc.)? Yes. Please refer to Supported File URL Formats for Readers and Supported File URL Formats for Writers. 31. Can I read and write data using Web Services or REST APIs? Yes. There are dedicated components for that: WebServiceClient and HTTPConnector. Also, many components support remote data - please refer to Supported File URL Formats for Readers and Supported File URL Formats for Writers. 32. Do you support Apache Hadoop and/or Hive? Yes, Hadoop is supported for both HDFS storage, as well as running MapReduce jobs. Hive is also supported. Please refer to Hadoop connections, Hive connection. 33. Can I use data from cloud providers such as Amazon S3? Yes, you can access data on Amazon S3. For more please read Supported File URL Formats for Readers and Supported File URL Formats for Writers. 34. How do I use Designer to develop on the Server? Do I need to deploy? The Designer connects directly to Server sandboxes so you're working live on the Server. There is no need to deploy your local edits or anything. Whenever you're connected to a Server sandbox and run a transformation or jobflow, it is executed on the Server, not locally. 35. Can I run a transformation without Designer? How? Yes, CloverETL Server provides numerous automation functions, including scheduled execution, web services, event listeners, etc. 36. Can CloverETL Server be deployed to Amazon EC2? Yes, there are several projects running CloverETL hosted on Amazon EC2 servers. As data transformations are heavy on I/O, make sure you pick a "high I/O" instances. The installation does not require any additional tricks. 37. Can CloverETL handle secure data transfers (HTTPS, SFTP, FTPS, etc.)? Yes, you can access all of these protocols. For more please read Supported File URL Formats for Readers and Supported File URL Formats for Writers. 38. Can sensitive information, such as passwords in connections, be securely hidden? Yes, CloverETL Server supports encrypted secure parameters so that sensitive information are not stored in plain-text readable form in graphs, connections etc. 39. Can I use projects developed in Trial (or Community) in commercial an vice versa? Yes, everything that you create in Community or Trial can be opened and further developed in any commercial edition of CloverETL. However, CloverETL Community cannot run all transformations created using the Trial or commercial products due to its limitations. 40. Can I create my own custom component or function via a plugin? Yes, there are two nice articles you can read on our blog to help you do so: Creating your own component and Custom CTL functions. 41. How do I upgrade CloverETL Designer to the latest version? We recommend uninstalling the old version and performing a fresh install of the new one. Don’t worry, all your work is safe – it’s always stored outside the installation files. 42. Do I need an application server to run CloverETL Server? If yes, which one? We provide a default, easy-to-start bundled package of CloverETL Server with pre-configured Apache Tomcat and Derby database. It's a good, simple start. However, if you wish to use an application container of your own, CloverETL supports a number of industry standard J2EE application servers such as Apache Tomcat, GlassFish, Weblogic, WebSphere, JBoss and Jetty. CloverETL Questions and Answers Pdf Download Read the full article

[creatitydevelop]

Master data management with Export docstore

Export docstore is made to work beyond cloud-based solutions. The feature of import console in this software offers you freedom to manage your imports like you can delete, add or update data to your need.

[nothingman]

Enlarge /

A computer screen displaying Eternalromance, one of the hacking tools dumped Friday by Shadow Brokers.

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The Shadow Brokers—the mysterious person or group that over the past eight months has leaked a gigabyte worth of the National Security Agency's weaponized software exploits—just published its most significant release yet. Friday's dump contains potent exploits and hacking tools that target most versions of Microsoft Windows and evidence of sophisticated hacks on the SWIFT banking system of several banks across the world.

Friday's release—which came as much of the computing world was planning a long weekend to observe the Easter holiday—contains close to 300 megabytes of materials the leakers said were stolen from the NSA. The contents included compiled binaries for exploits that targeted vulnerabilities in a long line of Windows operating systems, including Windows 8 and Windows 2012. It also included a framework dubbed Fuzzbunch, a tool that resembles the Metasploit hacking framework that loads the binaries into targeted networks. Independent security experts who reviewed the contents said it was without question the most damaging Shadow Brokers release to date.

"It is by far the most powerful cache of exploits ever released," Matthew Hickey, a security expert and co-founder of Hacker House, told Ars. "It is very significant as it effectively puts cyber weapons in the hands of anyone who downloads it. A number of these attacks appear to be 0day exploits which have no patch and work completely from a remote network perspective."

One of the Windows zerodays flagged by Hickey is dubbed Eternalblue. It exploits a remote code-execution bug in the latest version of Windows 2008 R2 using the server message block and NetBT protocols. Another hacking tool known as Eternalromance contains an easy-to-use interface and "slick" code. Hickey said it exploits Windows systems over TCP ports 445 and 139. The exact cause of the bug is still being identified. Friday's release contains several tools with the word "eternal" in their name that exploit previously unknown flaws in Windows desktops and servers.

The full list of tools documented by Hickey are:

ETERNALROMANCE — Remote privilege escalation (SYSTEM) exploit (Windows XP to Windows 2008 over TCP port 445)

ENTERNALCHAMPION, ETERNALSYSTEM — Remote exploit up to Windows 8 and 2012

ETERNALBLUE — Remote Exploit via SMB & NBT (Windows XP to Windows 2012)

EXPLODINGCAN — Remote IIS 6.0 exploit for Windows 2003

EWORKFRENZY — Lotus Domino 6.5.4 and 7.0.2 exploit

ETERNALSYNERGY — Windows 8 and Windows Server 2012

FUZZBUNCH — Exploit Framework (Similar to Metasploit) for the exploits.

We hack banks

Friday's dump also contains code for hacking into banks, particularly those in the Middle East. According to this analysis by Matt Suiche, a researcher and cofounder of Cloud Volumes, Jeepflea_Market is the code name for a 2013 mission that accessed EastNets, the largest SWIFT service bureau in the Middle East. EastNets provides anti money laundering oversight and related services for SWIFT transactions in the region. Besides specific data concerning specific servers, the archive also includes reusable tools to extract the information from Oracle databases such as a list of database users and SWIFT message queries.

"This would make a lot of sense that the NSA compromise this specific SWIFT Service Bureau for Anti-money laundering (AML) reasons in order to retrieve ties with terrorists groups," Suiche wrote. "But given the small number (120) of SWIFT Service Bureau, and how easy it looks like to compromise them (e.g. 1 IP per Bank) — How many of those Service Bureau may have been or are currently compromised?"

Suiche also found evidence that Al Quds Bank for Development and Investment, a bank in Ramallah, Palestine, was specifically targeted.

The release also contains the software for "Oddjob", an implant tool and backdoor for controlling hacked computers through an HTTP-based command server.

The Shadow Brokers have captured the attention of the intelligence community in the US and around the world. Some of the previous weapons-grade leaks, for instance, exploited unpatched vulnerabilities in Cisco Systems firewalls. Researchers from security firm Kaspersky Lab, meanwhile, have confirmed the leaked code they analyzed bears unique signatures tied to Equation Group, Kaspersky's name for a state-sponsored group that operated one of the most advanced hacking operations ever seen. In January, Shadow Brokers claims it was suspending operations, after making one last inflammatory release. Friday's dump shows the group was still holding plenty more incendiary material.

The Shadow Brokers have already prompted a major internal investigation inside the NSA with the arrest of at least one agent accused of stealing 75 percent of the hacking tools belonging to the NSA's Tailored Access Operations group. But so far, there's no indication investigators have been able to tie the defendant to the Shadow Brokers. This latest dump sure to make matters more urgent and will undoubtedly preempt the holiday plans for countless people in both government and private industry.

via Ars Technica

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How Econometrics Helps Us See the Bigger Picture

 Sudbury Neutrino Observatory (SNO) is a subatomic particle detectors are very sensitive suspended two kilometers underground in a nickel mine in Northern Ontario. Shielded from background radiation at the earth's surface, which makes it possible to precisely measure  Digital Marketing Agencies Newcastle  SNO subatomic particles are most abundant in the universe, the neutrino.

SNO exemplifies a purely scientific observation: recording of data with limited interference from uncontrolled variables. This valuable data is used to verify, challenge, or improve our theories about how the world works. The pioneering SNO help unlock the mysteries of the Big Bang and the material itself, the project director earning a Nobel Prize for Physics in 2015.

Pure science is as admirable as it is demanding, requiring complicated equipment, sterile laboratory, exhausting peer review / replication, ridiculously educated experts, and financing. Do not let them sexy TED Talks fool you-the real science is difficult, meticulous, mentally-demanding marathon.

digital marketers as scientists With access to an inexhaustible reserve of data, highly skilled resources, and tools such as Adobe's advanced testing and Optimisely Audience Lab, it is easy to see why the modern digital marketers begin to feel like a scientist. It's just a shame that we will never be a scientist. This is not due to a lack of tools, talent, or money, but it we run our experiments on the surface in a fantastic dynamic system and a complex called the economy.

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Most of the data points to analyze today's marketers describe a man tapping, clicking, scrolling, or speaking into the computer. This happens in all sorts of contexts: in shops, in the basement apartment, during a meeting, behind Übers, or when leaving the marketing blog post. And each of these actions can be influenced by the weather, the mood of a person, by the labor market, or with something that Kanye West just tweeted.

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Accounting for these variables not only the next-to-impossible: it disturbing and immoral. But as an industry, we are still trying to be more data-driven due to perform. In this case "move fast and break things" digital era where religious pursuit interference infect virtually all markets, academic rigor needed to be scientifically will always be a bridesmaid for the promise of direct benefit in the performance of the media.

Instead of aspiring to be scientists, we have to start thinking more in terms of econometrics.

What is econometrics? Econometrics is an applied science that extract quantitative relationships (called estimator) in economic data observed. If the interest rate changes by X%, what can we expect to see in a condominium supply in a city? If the gasoline tax increased by Y% and how this may affect an individual's driving habits? Econometric attempts to answer the questions.

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We never could nail down the relationship is exactly the same, so the game is to use the data available to the estimator uncover reliable (people become more reliable with more data) that will be used in models that explain what we see and produce generally successful predictions.

As digital marketers, we are uniquely positioned to apply the technique library web analytics data microeconometric very granular us. The variables that are not listed or not perfectly observe that bear individual actions (eg, mood, preference, Kanye)? We absorb these factors as a public nuisance or noise in our model.

For those with experience in the subject, so far it seems like a statistical model of the garden variety, is not it? We  Digital Marketing Company Newcastle usually exclude such factors of our model and rely purely on what is produced in a media platform or CRM database.

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