Data varieties and volumes continue to explode, increasing the challenges around building reliable and performant ETL Pipelines to meet machine learning and data analytics use cases. Data pipelines need to be able to scale to production workloads seamlessly, while drag and drop tools help boost engineering productivity to build more pipeline more quickly. Learn how to accelerate your data lifecycle from Informatica and Databricks, the original creators of Apache SparkTM, MLflow, and now Delta Lake. Improve data reliability and performance in your data lakes and data pipelines to create a next generation data platform for your organization.
Session Id: NGA164
Journey: Next Gen Analytics Journey
Role: Data Leader, Architect /IT Leader, Practitioner/Developer
Initiatives: Drive digital transformation, Modernize applications, Modernize analytics architecture
Objectives: Accelerate insights with trusted, real-time analytics, Simplify and automate data management