4 Considerations When Choosing a Hadoop Distribution
Choosing the right Hadoop distribution can be a tricky process. Many businesses looking to adopt Hadoop in their data infrastructure have a hard time figuring out what really differentiates one distribution from another. With so many options available, it’s easy ...
LinkedIn fills another SQL-on-Hadoop niche
Social networks generate colossal amounts of data that have come to defy the use of conventional data-processing tools, so it's no wonder their engineering teams have built their own toolsets -- such as Facebook and its machine-learning tools.
Enter LinkedIn, now ...
MapR 5.0 Hadoop supports real-time applications
With a focus on real-time applications, MapR Technologies took the wraps off the 5.0 version of its Hadoop distribution.
"Eighteen percent of our customers have 50 or more applications running on a single cluster," says Jack Norris, chief marketing officer ...
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, ...
7 Ways to Get Ready for the Big Data of the Future
Data science is in the midst of transformation, with Big Data technologies starting to significantly encroach on the market share of traditional RDBMSs (relational database management systems). Spending worldwide on Big Data is forecast to hit $114 billion by 2018, ...
Apache Parquet paves the way for better Hadoop data storage
Apache Parquet, which provides columnar storage in Hadoop, is now a top-level Apache Software Foundation (ASF)-sponsored project, paving the way for its more advanced use in the Hadoop ecosystem.
Already adopted by Netflix and Twitter, Parquet began in 2013 as a ...
Big Data-As-A-Service Is Next Big Thing
We’ve had software as a service, platform as a service and data as a service. Now, by mixing them all together and massively upscaling the amount of data involved, we’ve arrived at Big Data as a Service (or BDaaS, and ...
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 ...
AWS joins Azure and Watson in bringing machine learning to big data
AMAZON WEB SERVICES (AWS) has announced that it will soon offer machine learning as an option to customers.
The technology is the same creepy stuff that uses algorithms to recommend things that you might also like when you browse Mazon's retail ...
Apache Tajo brings data warehousing to Hadoop
Organizations that want to extract more intelligence from their Hadoop deployments might find help from the relatively little known Tajo open source data warehouse software, which the Apache Software Foundation has pronounced as ready for commercial use.
The new version of ...