Can Your Grandpa's OLAP do Big Data BI?

Business Intelligence applications pose nontrivial performance, scale, and user concurrency challenges to any platform. Traditional Data Warehousing platforms a la Teradata or Netezza use proprietary HW to address them, thus quickly becoming impractically expensive for Big Data BI. Emerging Hadoop...

On-Demand Webinar: How Tata Communications Uses Jethro to Deliver Interactive BI on Hadoop

Learn how Tata Communications CDN overcame Hadoop latency pitfalls to deliver its end users a BOI dashboard on a shared Hadoop data lake with thousands of concurrent users that works at interactive speed.

This on-demand webinar is hosted by Tata Communications CDN Head of Engineering, Samik...

5 Reasons Business Intelligence on Hadoop Projects Fail

Hadoop has its own set of constraints and problems, and when you throw BI into the mix it's a whole other ballgame. As companies move their EDW to Hadoop, they expect to be able to migrate their analytical applications as well. While workloads such as ETL, predictive analytics and machine learning...

Eli Singer Discusses How to Make Business Intelligence Work on Hadoop

Jethro CEO Eli Singer discusses the transition from traditional EDWs to Hadoop and the resulting latency issues. He discusses why this is problematic for Business Intelligence use cases and the ideal SQL-on-Hadoop architecture to solve this problem. Eli tells how to enable Tableau, Qlik and...

Database Architectures for Business Intelligence Demystified: A Concise Comparison

Database Architectures for Business Intelligence Demystified: A Concise Comparison

Introduction

The year 2008 was one of drastic change in the world economy and in society. Major financial institutions collapsed, while Internet social networking service providers such as Facebook and Twitter (and...

Jethro 1.6.0 Released

The main themes of Jethro 1.6.0 are concurrency and new range-index features.