Micron overhauled its data management strategy, embedding crack teams of data scientists within an array of business units. Here’s how that centralized strategy has delivered impressive results.
For the last decade, Greg Boorer has not had a lot of sleep.
Out in mining country the distances are long and the reception is lousy. It’s the last place you’d want a bus carrying a service crew to breakdown.
The new Databricks for Data Engineering edition of the Apache Spark-based cloud platform is optimized for combining SQL, structured streaming, ETL and machine learning workloads running on Spark.
By automating costly and time-consuming data engineering tasks associated with business intelligence on Hadoop, Jethro aims to accelerate BI queries.
The cloud provider unveils a big data platform as a service (PaaS) offering built on the MapR Converged Data Platform.
IBM has unveiled IBM Machine Learning, a new cognitive platform that brings the power of machine learning to z System mainframes and eventually IBM POWER System.
These 15 predicted trends will shape the big data and analytics market in 2017.
Google continues to strengthen G Suite with the addition of enterprise-specific tools designed to offer data loss prevention, business insights and better security key controls.
MariaDB announces general availability of MariaDB ColumnStore 1.0, which is designed to provide a single SQL interface for analytic and transactional workloads.
Why cloud applications demand moving to an SD-WAN
