Choosing the wrong data warehouse can lead to significant wastage
of time and money. More than 50% Analytics projects fail due to
wrong data tools. Selecting the data warehouse can be challenging
due to different pricing model, features and peformance characteristics.
Join the webinar to learn:
Top 7 factors to consider while evaluating different warehouses
Comparison of popular warehouses - BigQuery, Snowflake, Redshift, Hive, Athena, Databricks
Is data warehouse and data lake different. Which one do you need ?
Founder, Sprinkle Data
Sharad is the founder of Sprinkle Data. Earlier he lead data platform
at Flipkart and InMobi. He has been active in open source community
for over 10+ years. He is a Hadoop committer and has co-authored of
big data open source project Hadoop YARN.