On Demand

Azure Databricks Learning Series (Part 2)

Data engineering bootcamp

Build a reliable and scalable modern data architecture

** This session will be conducted in Mandarin **

Join this hands-on lab session to leverage the wealth of data accumulated in your data lake for deep analytics insights. We’ll cover best practices to help organizations use powerful open source technologies so you can build and extend your Azure investments and make your data lake analytics-ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact – lowering costs, changing time to market — and even revolutionizing industries.

Part 2 – What you’ll learn:

  • How to build highly scalable and reliable data pipelines for analytics
  • How to make your existing Azure Data Lake analytics-ready with open source Delta Lake technology
  • How to integrate that data with services such as Azure Data Lake Storage, Azure Data Factory, Azure DevOps and Power BI — and leverage your Azure Active Directory security and roles without moving your data out of your account

Don't overlook the opportunity to finish the full learning series below:
Part 1 - Fundamental concepts of building a data lakehouse
Part 3 - Data Science Bootcamp: Turbocharge your business with machine learning

Led by Databricks and Microsoft experts using real-world data sets, you’ll learn how to leverage your data lake for powerful analytics insights, and get access to the best practices for implementing a complete data science lifecycle, enabling your data teams to scale effectively.

Who should join: Data professionals across data engineering, data science, machine learning, data platform, and business analytics.

Event Sponsor: Databricks (Databricks Privacy Policy)
Event Co-Sponsor: Microsoft Corporation (Microsoft Privacy Statement)