AtScale, the company providing business users with speed, security and simplicity for BI on Hadoop, released the results of its reference performance study: The Business Intelligence Benchmark for SQL-on-Hadoop engines.
New Business Intelligence Performance Benchmark Reveals Strong Innovation Amongst Open-Source projects
In this special technology white paper, 3 Reasons In-Cluster Analytics is a Big Deal, you’ll learn about how recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data.
The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. This segment focuses on the use of distributed system architectures – Hadoop and Spark.
Looker for Hadoop – Interactive Analytics, Visualizations and Data Modeling on large Hadoop Data Sets
In this special technology white paper, Looker for Hadoop – Interactive Analytics, Visualizations and Data Modeling on large Hadoop Data Sets, you’ll learn how the vision of Hadoop as more than a data store is finally a reality.
Cask, the company that makes building and running big data solutions easy, announced a public preview release of CDAP 4, the first unified integration platform for big data.
RedPoint Global, a leading provider of data management and customer engagement technology, announced findings from a new benchmark study conducted by information management leader MCG Global Services, which revealed leading performance from RedPoint Global’s Data Management™ application.
The vision of Hadoop as more than a data store is finally a reality. Thanks to advances from SQL query engines like Spark SQL, Impala, Presto and Hive on Tez, big data technologies are now accessible for business analytics. With Looker, analysts can build a data model across all their data in Hadoop – easily transforming raw data into meaningful metrics and finally allowing business teams to access and explore years of stored data in Hadoop data sets.
Overcome analytic challenges on Hadoop data:
Get more from your Hadoop cluster by analyzing the data where it sits
No need to move or transform the data prior to performing analysis
Interact with your data through a familiar language – SQL on Hadoop
Create a single source of truth for your enterprise that’s governed by a data model
To learn more download this white paper.
Cloudera’s Analytic Database Enables Unrivaled Elastic Scale, Agility, and Performance for BI and Analytics in the Cloud
Cloudera, the provider of the secure data management and analytics platform built on Apache Hadoop and the latest open source technologies, released benchmark results that validate Cloudera’s modern analytic database solution, powered by Apache Impala (incubating), not only delivers unprecedented capabilities for cloud-native workloads but does so at better cost performance compared to alternatives.
Informatica®, the provider of data management solutions, offers business and IT a comprehensive, self-service approach that dramatically shortens the time to value with cloud ready data lakes out-of-the-box.
I recently caught up with Jack Norris, Senior Vice President of Data and Applications at Mapr, to discuss how microservices in support of a converge data platform can provide a unique set of benefits to customers.