Rapids Data Releases RapidsDB 4.0 For Improved SQL Queries
RapidsDB can support complex SQL queries, classify using a Hadoop-based dynamic model, and forward the results as a Kafka
GigaSpaces’ Data Lake Accelerator Aims for Faster Analytics
AnalyticsXtreme offers 100X faster data lake access and speeds up machine learning on both real-time and historical
Case Study: Multinational Retail Chain Migrates To Hadoop
How one big retail chain moved its data warehouse to a Hadoop
Cloudera Promises Unity Release of Hadoop Post Hortonworks Merger
One of the two Hadoop platforms from the merging firms will win out. What will it mean for
LinkedIn Open Source Tool to Deploy TensorFlow on Hadoop
LinkedIn tool reduces the amount of time required to create AI models by making massive amounts of data stored in Hadoop more
Arcadia Data Embeds Search in Big Data Analytics App
Arcadia's update makes it possible for end-users to query all the data stored in Hadoop versus requiring IT organizations to prepare
Hortonworks Provides Needed Visibility in Apache Kafka
As Apache Kafka-driven projects become more complex, Hortonworks aims to simplify it with its new Streams Messaging Manager
6 Guiding Principles for an Effective Data Lake
With IoT, AI and machine learning initiatives, the need for an enterprise to establish a data lake is critical. What are the important issues to
Enabling the Real-Time Enterprise with StreamAnalytix
StreamAnalytix aims to change the marketplace for streaming analytics and how it fits with the growing open source
Alluxio Aims to Make Big Data Readily Available In-Memory
Latency improvements gained by leveraging in memory data handling could prove to have great benefits for many users.