Here's recent news from OpsClarity, Microsoft, Trillium and others, featuring data-driven app monitoring, data preparation/data quality, a Big Data appliance, an Internet of Things hub and more.
IBM last summer made big news by going all in on Apache Spark for Big Data analytics, with a massive developer investment that resulted in redesigned data products and today's launch of a bevy of new services running on its cloud.
Syncfusion moved its Windows-based Big Data platform out of preview and into production with new support for Apache Spark, Apache HBase and Scientific Python. The enterprise software development company claims it's the singular Apache Hadoop-based distribution designed for Windows.
Redis Labs today announced the integration of its namesake NoSQL database with Spark SQL, along with a new Spark-Redis connector said to speed up certain Big Data analytics tasks by 100 times or more.
10 years ago today the first Hadoop cluster was put into production at Yahoo. We asked Raymie Stata, who actually hired Hadoop co-creator Doug Cutting into Yahoo, to look back at the history of the game-changing Big Data technology, forecast where it's going and provide advice for developers looking to master it.
Here's a roundup of recent news from Cloudera, MapR, VoltDB and others, including an analyst's rankings of the top Hadoop distributions, expanded free Hadoop training, new products and more.
Cloud and Big Data tech skills still pay off the most, according to the latest salary survey from careers site Dice.com, with open source technologies dominating the 2015 list.
So you want to become a data scientist? And why wouldn't you? Careers site Glassdoor just named it the "best job in America" for 2016. So we decided to talk to a real-life data scientist to find out what the job's all about and how to become one.
Google has teamed up with several other companies to submit its open sourced Dataflow technology to the Apache Software Foundation as an incubator project, a first for the search giant.
Apache Spark, which has been shaking up the Apache Hadoop ecosystem for a couple years now, will come of age this year, moving from a talking point into enterprise deployment, according to a new Hadoop survey from Syncsort.
Test drives of various Big Data technologies are now available on the Amazon cloud in a new program launched by MapR Technologies to help enterprises test the analytics waters with integrated third-party solutions.
Microsoft -- the new commercial steward of the open source R programming language -- yesterday announced a revamp of its R-based offerings, including a free developer edition of its rebranded Microsoft R Server.
AtScale announced what it claims to be the industry's first 'BI on Hadoop' accelerator to work with Big Data analytics products from Tableau Software, which specializes in data visualization.
"Big Data has reached a point of mainstream adoption within Fortune 1000 firms," concludes a new survey from NewVantage Partners, attempting to capture the voice of executive decision-makers guiding data-related enterprise initiatives.
Data science crowdsourcing specialist CrowdFlower Inc. set out to determine what skills are most coveted by employers seeking to hire data scientists, finding an exceptionally strong demand for SQL.
In a time-honored New Year's tradition, industry players weigh in with their predictions for the Big Data landscape in 2016.
Two separate studies recently confirmed that the much-publicized and long-lasting Big Data skills shortage is still hampering enterprises, most of which have yet to put the technology to use.
The Big Data streaming project Apache Kafka is all over the news lately, highlighted by Confluent Inc.'s new update of its Kafka-based Confluent Platform 2.0.
Just more than a year after being open sourced by creator eBay Inc., the Kylin project -- a Big Data distributed analytics engine -- has been advanced by the Apache Software Foundation (ASF) to top-level status.
MapR Technologies today announced the upcoming addition of an event streaming system to its Apache Hadoop-based Big Data distribution, improving real-time analytics capabilities in a new rebranded, integrated and converged solution.