- March 16, 2016
Because of growing data demands, and the need to nimbly scale up and down, a startup social networking platform chose a Redis Labs NoSQL database management system running on AWS.
- March 02, 2016
Looking to better balance system stability and innovation, Hadoop distribution provider Hortonworks will follow two release 'cadences' for different component sets in its HDP package.
- February 29, 2016
Its collection of big-data processing features is priming the Apache Spark architecture for wider deployment. One key trait: Spark performance outpaces MapReduce in many Hadoop use cases.
- February 24, 2016
Numerous SQL-on-Hadoop engines are available for accessing data stored in HDFS using the familiar SQL language. They all look promising, they all support a rich SQL dialect, but which ones is the ...
- February 24, 2016
Amid the buzz at Spark Summit East 2016 in New York was word that the Spark data processing engine's stream processing architecture will be overhauled in the upcoming version 2.0 of the open source software.
Sponsored by CloudHealth - As enterprises continue to add new use cases and workloads to their cloud portfolio, the stakes keep rising for potential governance speed bumps. Business users and IT professionals alike are now using the cloud for everything from compliance and security to cloud-native application development and infrastructure optimization. But this makes policy management more difficult, time consuming and costly, especially with so many cloud services being purchased and deployed outside the scope, visibility and control of a centralized IT operations group. See More
Sponsored by CloudHealth - In the era of Cloud 1.0, early adopters were often drawn to the cloud because it allowed them to reduce Capex and move to a more predictable subscription pricing model. In recent years, cloud adoption has surged because organizations have recognized that it not only reduces their hardware purchases and per-seat software licenses but provides many operational benefits as well. See More
Sponsored by CloudHealth - For more than a decade, the biggest gating factor in cloud computing adoption was perceived security risks. IT professionals and business leaders alike were often extremely concerned about a perceived loss of control of mission-critical data and essential applications when moved to the cloud. See More
- February 04, 2016
HR personnel oversee many of the perks that come with a job, such as paychecks and benefits; the elements that most people would rather avoid, such as firings and employee conflicts; and all things in between, such as education and training. Now, ...
- February 04, 2016
Hadoop has been slowly plodding through the big data jungle, but SQL's integration may put a spring in the elephant's step.
- February 03, 2016
Attention's been placed on Spark running on Hadoop, but there are Spark connectors for NoSQL that usher in a new class of operational analytics.
- January 29, 2016
Data governance managers who spoke during an online conference said that tracking business-oriented metrics on data quality improvement is a key to success in governance efforts.
- January 28, 2016
In a Q&A as Hadoop reaches one 10-year milestone in its development, co-creator Doug Cutting talks about the adoption of the big data framework, and the history and future of Hadoop.
- January 27, 2016
Software architect Mansour Raad is at the center of activity as geospatial data melds with Hadoop -- and soon, Spark.
- January 14, 2016
MapR's Hadoop distribution will add a message system to feed a streaming data pipeline. It takes a cue from open-source Kafka technology.
- December 29, 2015
The increasing adoption of self-service business intelligence tools and big data analytics applications is complicating data governance programs, BI Leadership Summit speakers and attendees said.
- December 28, 2015
In 2015, APIs for IBM's Watson system were front and center as a means to bring cognitive computing applications to a broader corporate audience.
- December 21, 2015
This episode of the 'Talking Data' podcast looks at the word of the year in data analytics and management. In 2015, Spark joined Hadoop and MapReduce at the top of the list of trending big data technologies.