- July 16, 2018
The chief data officer role is about many things -- regulations, innovation, AI and more. Consultant Randy Bean discussed the matter ahead of an MIT symposium on the topic.
- July 02, 2018
GDPR influence is touching a Hadoop big data world that was immune to many privacy considerations until now. This podcast features the rise of Hadoop data governance for data lakes.
- June 27, 2018
NoSQL vendor MongoDB upgraded its database software with ACID support, while also releasing a serverless platform intended to simplify application development.
- June 25, 2018
Hortonworks users talk about building Hadoop data lakes to support new applications -- and the challenges their teams face on ingesting and refining data for end users.
- June 18, 2018
Hortonworks now supports Google Cloud Storage and has also broadened cloud deals with Microsoft and IBM, aiming to increase cloud uses of its big data platform.
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
- March 21, 2018
Big data vendors and users are looking to Kubernetes-managed containers to help accelerate deployments and enable more flexible use of computing resources.
- March 15, 2018
StreamSets software for inspecting big data brings governance to data in motion. Such capabilities may find more use as the European Union's GDPR deadline looms.
- February 22, 2018
In big data news, we find Google TPUs, or Tensor Processing Units, offered as a cloud service, while LinkedIn is open sourcing a Hadoop test simulator called Dynamometer.
- February 16, 2018
MongoDB is taking a deeper step into SQL-style processing waters with a 4.0 update that brings increased support for ACID-compliant transactions to its NoSQL database.
- January 03, 2018
Is this the post-Hadoop era? Not in the eyes of Hadoop 3.0 backers, who see the latest update to the big data framework succeeding in machine learning applications and cloud systems.
- December 01, 2017
After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.
- December 01, 2017
Born at Cloudera, the MPP query engine known as Apache Impala has become a top-level open source project. It's one of various tools bringing SQL-style interactivity to big data analytics.
- October 30, 2017
The Neo4j graph database emphasizes easy relationship mapping for diverse data points. Now, its related Cypher query language is hooking into Apache Spark.
- October 05, 2017
At the Strata conference in New York, IT managers detailed steps they're taking to improve data quality in their big data environments in order to help ensure analytics accuracy.
- September 28, 2017
The Strata conference in New York saw big data platform vendor MapR Technologies update MapR-DB, its NoSQL database engine, to better perform in real-time analytics applications.