Making the Most of your Investment in Hadoop (White Paper)
The BI pipeline built on top of Hadoop - from HDFS to the multitude of SQL-on-Hadoop systems and down to the BI tool - has become strained and slow.
Cloudera Unfurls Raft of Big Data Cloud Services
Organizations will rely on these cloud services for more ephemeral types of workloads involving, for example, the building of artificial intelligence
Cutting Through the Fog: The Speediness of Edge, Hybrid, and All-Cloud
When trying to determine where to carry out analysis, application characteristics and edge-cloud transfer bandwidth are the key factors affecting
Unravel Raises $35 Million for Big Data App Platform
Startup's full-stack operations platform assists enterprises with data ingestion, migration, processing and
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