Ganesh Chand is a data engineering consultant at Databricks with 10+ years of industry experience in building enterprise-scale Data solutions. He is particularly passionate about solving world’s toughest data engineering problems. At Databricks, he is busy tackling some of the toughest data engineering projects for Databricks customers. Outside of Databricks, he manages and runs Kathmandu Apache Spark meetup group and has given numerous presentations and workshops on Apache Spark and functional programming using Scala.
Why to build your own analytics application on top on Delta lake : - Every enterprise is building a data lake. However, these data lakes are plagued by low user adoption, poor data quality, and result in lower ROI. - BI tools may not be enough for your use case, especially, when you want to build a data driven analytical web application such as paysa. - Delta's ACID guarantees allows you to build a real-time reporting app that displays consistent and reliable data
In this talk we will learn :