Your Guide to Data Engineering on the Data Intelligence Platform
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Engineering and Streaming |
TECHNOLOGIES | Databricks Experience (DBX), ETL |
SKILL LEVEL | Beginner |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
Data Engineering has a critical role in the AI revolution - deliver the right data, at the right time, at any scale to help organizations gain real-time insights and harness the power of AI. Join this session to learn how the Databricks Data Intelligence Platform provides the best tools to ingest, transform and orchestrate data while helping you tackle the challenges of processing streaming data, ensuring high data quality, reliability and scale.
This session is the perfect starting point for data engineers looking to better understand the data engineering capabilities of the Data Intelligence Platform and will include demos. Some of the capabilities that will be discussed include:
- Ingesting data into the data intelligence platform
- Using Delta Live Tables to build reliable streaming data pipelines
- Data orchestration with Databricks Workflows
- Data Governance with Unity Catalog
- Useful AI capabilities such as Databricks Assistant
SESSION SPEAKERS
Matt Jones
/Senior Product Marketing Manager
Databricks
Raju Mudunuri
/Data Solutions & Delivery Senior Leader
Lexmark