Fueling innovative software
July 15-18, 2019
Portland, OR
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Shradha Ambekar

Shradha Ambekar
Staff Software Engineer, Intuit

@shradha151

Shradha Ambekar is a staff software engineer in the Small Business Data Group at Intuit, where she’s the technical lead for lineage framework (SuperGLUE), real-time analytics, and has made several key contributions in building solutions around the data platform, and she contributed to spark-cassandra-connector. She has experience with Hadoop distributed file system (HDFS), Hive, MapReduce, Hadoop, Spark, Kafka, Cassandra, and Vertica. Previously, she was a software engineer at Rearden Commerce. Shradha spoke at the O’Reilly Open Source Conference in 2019. She holds a bachelor’s degree in electronics and communication engineering from NIT Raipur, India.

Sessions

5:05pm–5:45pm Wednesday, July 17, 2019
Optimizing analytical queries on Cassandra by 100x
Building Data-Intensive Applications
 Location: D138-140
Secondary topics:  Data Driven
Shradha Ambekar (Intuit)
Average rating: ****.
(4.50, 2 ratings)
Cassandra is one of the most popular datastores in big data and ML applications. Data analysis at scale with fast query response is critical for business needs, and while Cassandra with Spark integration allows running an analytical workload, it can be slow. Shradha Ambekar dives into the challenges faced at Intuit and the solutions her team implemented to improve performance by 100x. Read more.