Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
Ashish Tadose
With growing data volumes and varying needs of data storage and access patterns gave rise to adoption of diverse databases such as key value, wide columns, document, graph and so on. Also, with increasing adoption of public clouds organizations started leveraging flexible storage mediums such as HDFS & Object stores. There is a dire need of query engine in the analytics platform which can query across these federated systems without creating copies of data. In this session we will go over segment of Walmart’s data analytics stack which tackled this use case by leveraging open source solutions.
Ashish is passionate about BigData technologies and designing data analytics systems for large scale. He has been working on Hadoop processing pipelines since 2009. At his current role @WalmartLabs as Staff Engineer he focuses on building data products to power Walmart’s DataLake and also contributing to overall data and cloud strategy.
Prior to that he worked as Senior Data Architect at PubMatic where he contributed to setup Lambada architecture pipeline for large scale AdTech data processing for reporting, analytics & machine learning.
He is frequent speaker at BigData meetups & conferences, Apache committer and FOSS lover.
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