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APT Threat Evolution in Q1 2017

Kaspersky Lab is currently tracking more than a hundred threat actors and sophisticated malicious operations in over 80 countries.

During the first quarter of 2017, there were 33 private reports released to subscribers of our Intelligence Services, with IOC data and YARA rules to assist in forensics and malware-hunting.

R and Python drive SQL Server 2017 into machine learning

Microsoft last week announced a wave of new features for its data platform, along with the SQL Server 2017 name and what Microsoft calls a “production quality” beta release. Other important changes include a new containerized deployment model for databases, which simplifies installation on Windows and Linux.But it was SQL Server’s new machine learning tools that grabbed my attention.[ Roundup: TensorFlow, Spark MLlib, Scikit-learn, MXNet, Microsoft Cognitive Toolkit, and Caffe machine learning and deep learning frameworks. | Download the InfoWorld megaguide: The best Python frameworks and IDEs. | Download the InfoWorld quick guide: Learn to crunch big data with R. ]Machine learning remains one of Microsoft’s big themes for 2017, and it’s an important segment of SQL Server 2017. Mixing code and data has always been part of SQL Server, first with T-SQL, then with the Azure-focused U-SQL, which extended T-SQL with C# elements.
SQL Server 2016 added support for embedded R code, and SQL Server 2017 continues that evolution by improving its support for R and adding Python. (By renaming SQL Server 2016’s R Services to Machine Learning Services in SQL Server 2017, Microsoft has made clear where it’s aiming its SQL tools.)To read this article in full or to leave a comment, please click here

Python power comes to SQL Server 2017

Don't bring the data to your computation if you can help it.

Bring your computation to your data.Microsoft has heeded this cardinal rule of information science with the latest Community Technology Preview release of SQL Server 2017. Python can now be used within SQL Server to perform analytics, run machine learning models, or handle most any kind of data-powered work.[ Unleash the power of SQL with 17 tips for faster queries.

Download the PDF today! | Also on InfoWorld: 7 essential SQL Server security tips. | Keep up with hot topics in databases with InfoWorld's Big Data newsletter. ]
This integration isn't limited to enterprise editions of SQL Server 2017, either—it'll also be available in the free-to-use Express edition.To read this article in full or to leave a comment, please click here

The strange new world of hiring and employee tracking

Your employer wants to hire top salespeople and is counting on HR to deliver the best.

There's the old-fashioned way: collect resumes, sort for keywords, check on social networks, get referrals and interview.But what about geotagging?[ Download the ...

Old Malware Tricks To Bypass Detection in the Age of Big...

Kaspersky Lab has been tracking a targeted attack actor’s activities in Japan and South Korea recently.

This attacker has been using the XXMM malware toolkit, which was named after an original project path revealed through a pdb string inside the… Read Full Article

Python vs. R: The battle for data scientist mind share

The boss’s boss looks out across the server farm and sees data—petabytes and petabytes of data.

That leads to one conclusion: There must be a signal in that noise.

There must be intelligent life in that numerical world—a strategy to monetize all those hard disks filling up with numbers.That job falls on your desk, and you must now find a way to poke around the digital rat’s nest and find a gem to hand the boss.[ Download the InfoWorld megaguide: The best Python frameworks and IDEs. | Learn to crunch big data with R. | Keep up with hot topics in programming with InfoWorld’s App Dev Report newsletter. ]How? If you’re a developer, there are two major contenders: R and Python.

There are plenty of other solutions that help crunch data, and they live under rubrics like business intelligence or data visualization, but they are often full-service solutions.
If they do what you want, you should choose them.

But if you want something different, well, writing your own code is the only solution.

Full-service tools do a good job when the data is cleaned, buffed, and ready, but they tend to hiccup and even throw up when everything is not quite perfect.To read this article in full or to leave a comment, please click here

MIT-Stanford project uses LLVM to break big data bottlenecks

The more cores you can use, the better -- especially with big data.

But the easier a big data framework is to work with, the harder it is for the resulting pipelines, such as TensorFlow plus Apache Spark, to run in parallel as a single unit. Researchers from MIT CSAIL, the home of envelope-pushing big data acceleration projects like Milk and Tapir, have paired with the Stanford InfoLab to create a possible solution. Written in the Rust language, Weld generates code for an entire data analysis workflow that runs efficiently in parallel using the LLVM compiler framework.To read this article in full or to leave a comment, please click here

3T Software Labs acquires Robomongo, the most widely used MongoDB tool

Deal demonstrates growing importance of NoSQL databases to Big Data and enterprise strategyBERLIN, GERMANY – 14 March, 2017 – 3T Software Labs, makers of Studio 3T (https://studio3t.com), today announced that it has acquired Robomongo, the leading open source MongoDB tool, from its original developers Paralect.

This will enable it to better serve the fast-expanding market as more and more enterprises work with the MongoDB database, particularly on strategic projects involving unstructured information and Big Data.... Source: RealWire

What the top 5 metro areas pay for hot IT jobs

The war for IT talent in 2017 is becoming even more competitive -- and even more expensive.

The demand for talent certainly isn't slowing down, and companies are offering hefty compensation packages to try and fill open roles. Tech jobs in big data, IT security, and software development, for example, are paying big bucks for both entry- and senior-level positions, especially if you live in one of the five largest metro areas in the United States, according to Randstad's 2017 Salary Guide.[ Find out how to get ahead with our career development guide for developers. | The art of programming is changing rapidly. We help you navigate what's hot in programming and what's going cold. | Keep up with hot topics in programming with InfoWorld's App Dev Report newsletter. ] "The biggest takeaway here is that salary is still the No. 1 factor candidates consider when looking at new opportunities.

The recent Gallup State of the American Workforce survey showed that about 37 percent of people would leave their job for a salary increase of 20 percent or less -- it doesn't take much, but candidates today know their worth and they can name their price.
It's a candidate's market," says Jennifer Selden, regional recruiting director at Randstad Technologies.To read this article in full or to leave a comment, please click here

Germany Outpaces UK in Big Data League Tables

Teradata study shows the UK, in the initial stages of gearing up towards Brexit, is falling behind major global economies in big data and analytics adoptionLondon, 09 March, 2017: The UK has much to do in order to improve its global competitive stance ...

Microsoft’s latest open source servers shown off with Intel, AMD, and...

An inevitability is becoming a reality.

MapR and Outscale partner on big data PaaS

At the Big Data Paris event in Paris, France, today, MapR Technologies and French enterprise-class cloud provider Outscale announced that they have joined forces to provide a big data platform-as-a-service (PaaS) offering built on the MapR Converged...