Top 10 Hadoop Data Migration Traps
Avoiding these 10 pitfalls will ensure Hadoop data migration success and help avoid costly business risk along the way.
Topic: Apache Hadoop and Spark
Apache Hadoop, Spark and Kafka.
Big Data Battle Shifts Fronts
Hadoop struggles as enterprises explore newer, simpler alternatives for near
Arcadia Data Bolsters BI Capabilities for Cloud-Based Data Warehouses
Their focus on expanded support for cloud services should accelerate AI-driven
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
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
Confluent Releases Its Platform 5.0 with IoT Support
Confluent's latest release adds enterprise security, disaster recovery capabilities, new developer features, and IoT
Duco Cube Data Platform for Analytics Arrives
The Duco Cube Data Platform will allow users to access up to ten years’ worth of results and exception
What is the Relevance of ETL in 2018?
IT execs are debating whether ETL (Extract, Transform and Load) is still relevant in a big data and cloud-based data warehouse world. Let's take a