Unravel Data Expands Data Ingestion and MPP Support with Impala and Kafka Integration
Unravel Extends its Industry Leading Position in Application Performance Management for Big Data Operations
Unravel Extends its Industry Leading Position in Application Performance Management for Big Data Operations
MapR Ecosystem Pack 3.0 provides enhanced integrations with Spark 2.1, delivers faster batch analytics with Hive 2.1, and enriches BI experience with Drill 1.10
Fall 2016 Release Extends Support for Teradata, Snowflake, Microsoft Azure, Apache Spark; Delivers New Security, Governance and Performance Updates
Deliver instant predictive intelligence with the combination of Redis-ML and Spark ML
Cybraics, Dataiku and H2O Announced With Program Launch
Product Enhancements Empower Organizations to Transcend the Chaos of Big Data in Enterprise IT Environments
Latest Offering Provides a Fast, Affordable Solution for Streaming Big Data Analytics, Applicable to Use Cases Such as IoT, Recommendations, and Automated Alerts
Tina Diamond, a Recognized European Big Data Industry Veteran, Appointed to Lead Cloudwick–s EMEA Cloudera, Hortonworks, MapR, DataStax & Databricks Enterprise Business
Confluent Platform 2.0, Based on Kafka 0.9 Core, Now Available With Improved Enterprise Security and Quality-of-Service Capabilities, and New Features to Simplify and Accelerate Development
SAN JOSE, CA — (Marketwired) — 12/02/15 — provider of the top-ranked distribution for Apache Hadoop® that integrates web-scale enterprise storage and real-time database capabilities, today announced it will share its expertise on Apache Spark, big data security, and next-generation enterprise data architectures this month at leading industry events. Each event includes presentations aimed at helping attendees understand the technical, business and practical aspects of Hadoop and related