Databricks is the original creator of OSS projects such as Apache Spark, MLFlow, Delta.io, Delta Sharing and has recently open-sourced Unity Catalog for data governance. Building on this foundation of open-source innovation, we invite you to join our comprehensive data engineering workshop on the Databricks Lakehouse.
This workshop caters to data engineers seeking hands-on experience and data architects looking to deepen their knowledge.
The workshop is structured to provide a solid understanding of the following fundamental data engineering and streaming concepts:
Therefore, we will equip you with your own Databricks lab environment in this workshop and guide you through practical exercises like using GitHub as a data engineer, ingesting data from various sources, creating batch & streaming data pipelines, orchestration, AI tooling and much much more.
This workshop caters to data engineers seeking hands-on experience and data architects looking to deepen their knowledge.
The workshop is structured to provide a solid understanding of the following fundamental data engineering and streaming concepts:
- Introduction to the Lakehouse Platform
- What is Data Intelligence?
- Getting started with Delta Live Tables (DLT) for data pipelines in SQL and Python
- Creating data pipelines using DLT with streaming Tables, and Materialized Views
- Mastering Databricks Workflows with advanced control flow and triggers
- Generative AI tooling for Data Engineers: Databricks Assistant and Genie
- Understand data governance and lineage with Unity Catalog
- Serverless Compute for Data Engineers
- Using AI models as a data engineer
- AI playground and agents overview
Therefore, we will equip you with your own Databricks lab environment in this workshop and guide you through practical exercises like using GitHub as a data engineer, ingesting data from various sources, creating batch & streaming data pipelines, orchestration, AI tooling and much much more.
Frank Munz
Databricks
Frank Munz solves large-scale data and AI challenges at Databricks. He authored three computer science books, built up technical evangelism for Amazon Web Services in Germany, Austria, and Switzerland, and once upon a time worked as a data scientist with a group that won a Nobel prize.
Frank has presented at top-notch conferences on every continent (except Antarctica, due to its inhospitable climate). His speaking engagements include Devoxx, Kubecon, and Java One. He is also a 3x published author.
He is renowned for his world-class demos, which often showcase innovative and interactive applications of technology.
He holds a Ph.D. with summa cum laude in Computer Science from TU Munich where he worked on supercomputing and brain research.
Frank has presented at top-notch conferences on every continent (except Antarctica, due to its inhospitable climate). His speaking engagements include Devoxx, Kubecon, and Java One. He is also a 3x published author.
He is renowned for his world-class demos, which often showcase innovative and interactive applications of technology.
He holds a Ph.D. with summa cum laude in Computer Science from TU Munich where he worked on supercomputing and brain research.
