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
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Accepting submissions till 15 Jun 2019, 01:00 PM
1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
3. Attend tutorials on Deep Learning with RedisAI; TransmorgifyAI, Salesforce’s open source AutoML.
4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
5. Meet data science, data engineering and product teams from sponsoring companies to understand how they are handling data and leveraging intelligence from data to solve interesting problems.
For more information about The Fifth Elephant, sponsorships, or any other information call +91-7676332020 or email info@hasgeek.com
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Email sales@hasgeek.com for bulk ticket purchases, and sponsoring 2019 edition of JSFoo:VueDay.
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Ashish Tadose
@ashishtadose
Submitted Apr 14, 2019
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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