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Interactive Analytics, Visualization and Data Modeling on large Hadoop Data Sets

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 Delivers Out-of-the-Box Data Lake Management Solution

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.

Interview: Jack Norris, SVP Data and Applications at MapR

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.

How IoT & Pre-emptive Analytics at the Edge Change How We Think About Applications

In this special guest feature, Scott Gnau, CTO of Hortonworks, welcomes us to the future of data where the modern data application will need to be highly portable, containerized and connected.

Jethro to Release Jethro Acceleration Engine 2.0 with Auto-cubes

Jethro, provider of an index-based SQL acceleration engine that makes Business Intelligence (BI) work on Hadoop, is slated to release Jethro 2.0 featuring “auto-cubes.”

How To Scale Business Intelligence With Hadoop- Based Platforms

Analyzing big data poses multiple challenges. Highly parallel distributed data architecture is one solution, but until recently it has been mostly limited to databases, not business intelligence (BI) application servers. In this report, application development and delivery (AD&D) pros working on BI initiatives will learn about the capabilities of distributed BI platforms mostly based on […]

BlueTalon Brings Fine-Grained User Access Control, Filtering, and Data Masking to DataStax and Apache Cassandra

BlueTalon®, Inc., a leader in Data-Centric Security, announced BlueTalon 3.1 and the addition of DataStax Enterprise, the database for cloud applications built on Apache Cassandra™, to the list of supported data platforms.

Big Data Cybersecurity Analytics Research Report Ponemon Institute

In this report, Ponemon Institute is pleased to present the findings of Big Data Cybersecurity Analytics, sponsored by Cloudera.

Interview: Justin Kestelyn, Technical Evangelism & Developer Relations at Cloudera

While at Hadoop Summit 2016, I had the opportunity to catch up with Justin Kestelyn, Technical Evangelism & Developer Relations at Cloudera, to discuss all the progress his company has made in the past year and what’s in store for the future.