Top 10 Big Data Security Considerations
As organizations gather and manage more and more big data, here are 10 best practices to protect all of that information from hackers and cyber breaches.
Think Even Bigger
Before we dive into security for specific big data platforms (like Hadoop, ...
NoSQL Predictions for 2026
By 2026, key predictions for the NoSQL landscape point to deeper integration with AI and machine learning, strong market expansion, and a growing focus on hybrid data models that blend the flexibility of NoSQL with the reliability and analytical strengths ...
Big Data stalwart DataRPM Takes On IBM’s Watson With “Sherlock”
Much of the talk in machine learning and natural language software has been centered around the IBM supercomputer, Watson. But, DataRPM, a startup and self-described “industry pioneer in smart machine analytics for big data, thinks it’s time there was a ...
16 NoSQL, NewSQL Databases To Watch
Why are businesses increasingly choosing alternatives to the leading relational database management systems when grappling with new data types and extreme scale?
We put that question to Bryson Koehler, CIO of The Weather Company, which is using a NoSQL database, Riak, ...
Hadoop RDBMS Announced
A database that combines Hadoop and traditional relational abilities has been released as a public beta by Splice Machine.
The company says the database provides the scale-out technology of Hadoop, the distributed real-time computing power of the key-value store HBase, and ...
6 big data trends in 2014
Data are being generated by every device imaginable. Big data are arriving from multiple sources at an alarming velocity, volume, variety and veracity.
It is estimated that 2.5 quintillion bytes of data are created each day—so much that 90 percent of ...
Will Big Data Analytics Replace BI?
John Leonard of Computing.co.uk recently asked, “In 10 years’ time will big data analytics have replaced traditional relational business intelligence systems? That was one of the questions that Computing asked UK IT decision-makers in the quantitative survey that formed part of our recent big data ...
10 Hadoop Hardware Leaders
Hadoop software is designed to orchestrate massively parallel processing on relatively low-cost servers that pack plenty of storage close to the processing power. All the power, reliability, redundancy, and fault tolerance is built into the software, which distributes the data ...
What Can GPFS on Hadoop Do For You?
The Hadoop Distributed File System (HDFS) is considered a core component of Hadoop, but it’s not an essential one. Lately, IBM has been talking up the benefits of hooking Hadoop up to the General Parallel File System (GPFS). IBM has ...
SQL is what’s next for Hadoop
Today all the companies are trying to let users run SQL queries from inside Hadoop as it is open-source software framework. Companies are using Hive and HiveQL languages in Hadoop implementation but Hive is mainly depends on MapReduce. Business intelligence ...