Actian Corporation (“Actian”), provider of an end-to-end big data analytics platform that runs natively in Hadoop, has announced all-in-one platform pricing that gives organizations the affordability and flexibility to grow and change with their business needs.
MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, has announced that it has completed a $110 million financing. Google Capital led the $80 million equity financing.
Guavus, a leading provider of big data analytics solutions for operational intelligence, has unveiled Reflex 2.0 with support for Apache Spark and Hadoop YARN. The Guavus Reflex™ Operational Intelligence Platform provides a real-time analysis across business and operations for better quality decision-making.
Databricks, the company founded by the creators of Apache Spark—the powerful open-source processing engine that provides blazingly fast and sophisticated analytics—announced today the launch of Databricks Cloud, a cloud platform built around Apache Spark. In addition to this launch, the company is announcing the close of $33 million in series B funding led by New Enterprise Associates (NEA) with follow-on investment from Andreessen Horowitz.
As the data world undergoes its Cambrian explosion phase, our data tools need to become more advanced to keep pace. Deep Learning has emerged as a key tool in the non-linear arms race of machine learning. In the video below Josh Patterson and Adam Gibson take a look at how we can parallelize Deep Belief Networks in Deep Learning on Hadoop’s next generation YARN framework with Iterative Reduce.
Elasticsearch, Inc., the company on a mission to make data useful to businesses by delivering an advanced search and analytics engine, has announced the 2.0 release of its Hadoop connector, Elasticsearch for Apache Hadoop, along with certification on Cloudera Enterprise 5.
Platfora, the Big Data Analytics platform that runs natively on Hadoop, today announced tremendous sales growth in excess of 200 percent in annual recurring revenue over the past 12 months.
Alteryx, a leader in data blending and advanced analytics, today announced during its Inspire 2014 keynote that analysts will soon be able to read data directly from the Hadoop Distributed File System (HDFS), blend it with other sources, perform advanced analytics, and then write enriched data back to HDFS with Alteryx Analytics.
For up-and-coming data scientists who need to get up to speed on Hadoop architectures, here is another in a long line of compelling Big Data & Brews episodes. In the video below we hear from three Hadoop luminaries about the Hadoop projects they’ve worked on – Erich Nachbar on Spark, Michael Stack on Hbase and Ari Zilka (from Hortonworks) on Stinger. Great insider’s perspective!