Enabling real interactive BI on Hadoop

Wednesday, April 18
2:00 PM - 2:40 PM
Room V

Providing true interactive and scalable BI on Hadoop is proven to be one of the biggest challenges that is preventing completion of legacy EDW OLAP system transit to Hadoop. While we have all seen many benchmarks running consecutive queries claiming success, having thousands of concurrent business users sending complicated generated queries from their dashboards over billions of records while delivering interactive speed is yet to be seen.

In this session we will discuss how an architecture that replaces full-scan brute-force approach with adaptive indexing and auto-generated cubes can dramatically reduce the resources and effort per query, resulting in interactive performance for high concurrency workloads and explain how this is achieved with minimum data engineering efforts. We will also discuss how this architecture can be seamlessly integrated with Hive to provide a complete OLAP-on-Hadoop solution.

Session will include live demo of complex business dashboards connected to Hive and accessing billions of rows at interactive speed.

Presentation Video

SPEAKERS

Boaz Raufman
CTO and Co-Found
JethroData
Boaz is a Big Data expert with a passion for interactive Business Intelligence performance. Boaz is the brain behind Jethro’s breakthrough architecture and leads the team that develops it. He has 25 years of experience with developing search engines, indexing and database technologies. Before founding Jethro Boaz lead the development of many large scale information retrieval and big data projects.