With the Strata + Hadoop World conference underway, IBM, Microsoft and other companies are announcing new solutions based on the popular open source Big Data analytics framework, Apache Spark.
Paradoxically, data scientists love their jobs overall but dislike what they do most, cleaning and organizing data, according to a new survey of those lucky enough to have the "sexiest job of the 21st century."
At its GCP NEXT 2016 conference, the Google Cloud Platform team announced a new offering designed to mainstream the development of machine learning apps.
Shortly after announcing the first release candidate of SQL Server 2016, Microsoft today made more data-driven news by unveiling new capabilities for Power BI, its cloud-based analytics service targeting non-technical business users.
Microsoft last week announced SQL Server 2016 RC 1 is now available, nearly feature-complete.
Altiscale wants to simplify this Big Data thing, bypassing trained developers, data scientists and expensive, proprietary systems to connect ordinary business users with Hadoop in the cloud and glean their own analytics insights with familiar tools like Tableau and Microsoft Excel.
The years-long Big Data skills shortage still persists despite numerous attempts to alleviate it, resulting in high demand and high salaries for developers with NoSQL skills, especially Apache Cassandra.
Yet another effort to democratize notoriously difficult Big Data analytics was announced yesterday by Hewlett Packard Enterprise, which is providing a machine learning (ML) service to bring that advanced technology to mainstream developers.
Data professionals might have been expecting a launch date for SQL Server 2016 at the Data Driven event held today in New York City, but what they got was a recap of the flagship database system's capabilities and a full-out assault on rival Oracle Corp.
MapR Technologies today announced its Big Data platform has been upgraded with new features such as persistent storage and integrated resource management for containers.
In the rollup to a big wave of launch activities for SQL Server 2016 this Thursday, Microsoft announced today that it plans to bring its flagship relational database system to the open source Linux platform.
Here's a roundup of this week's Big Data news, featuring: an updated platform and new cadence cycle from Hortonworks; GraphFrames, a graph processing library for Apache Spark, from Databricks; the open sourcing of LinkedIn's WhereHows project that provides a repository for metadata; and DMX Data Funnel from Syncsort, for data ingestion.
Cloudera, a commercial vendor of Apache Hadoop-based software for Big Data analytics, has teamed up with other companies to tackle cybersecurity with the technology.
Matei Zaharia, the creator of Apache Spark, recently detailed three "exciting" improvements to the open source Big Data analytics project coming soon in version 2.0.
That pesky Big Data skills shortage apparently isn't going away soon, judging from a rash of new free training resources for students offered up by vendors including MapR Technologies, Databricks and Quoble.