Building Data Intensive Analytic Application on Top of Delta Lakes Ganesh Chand & Ravi Gawai

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 : - how to build your own analytics app on top of delta lake. - how Delta Lake helps you build pristine data lake with several ways to expose data to end-users - how analytics web application can be backed by custom Query layer that executes Spark SQL in remote Databricks cluster. -We'll explore various options to build an analytics application using various backend technologies. -Various Architecture pattern/components/frameworks can be used to build custom analytics platform in no time. - How to leverage machine learning to build advanced analytics applications Demo: Analytics application built on Play Framework(for back-end), React(for front-end), Structured Streaming for ingesting data from Delta table. Live query analytics on real time data ML predictions based on analytics data.

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