Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Manish Maheshwari

Manish Maheshwari
Senior Solutions Architect, Cloudera

Website

Manish Maheshwari is a data architect and data scientist at Cloudera. Manish has 13+ years of experience building extremely large data warehouses and analytical solutions. He’s worked extensively on Hadoop, DI and BI tools, data mining and forecasting, data modeling, master and metadata management, and dashboard tools and is proficient in Hadoop, SAS, R, Informatica, Teradata, and Qlikview. He participates in Kaggle Data Mining competitions as a hobby.

Sessions

11:15–11:55 Thursday, 2 May 2019
Scaling Impala: Common mistakes and best practices
Data Engineering and Architecture
 Location: S11 A
Manish Maheshwari (Cloudera)
Average rating: *****
(5.00, 1 rating)
Apache Impala is an MPP SQL query engine for planet-scale queries. When set up and used properly, Impala is able to handle hundreds of nodes and tens of thousands of queries hourly. Manish Maheshwari explains how to avoid pitfalls in Impala configuration (memory limits, admission pools, metadata management, statistics), along with best practices and anti-patterns for end users or BI applications. Read more.