Streaming Data With Delta Live Tables and Databricks Workflows
Type
On-Demand Video
Duration
15 minutes
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What you’ll learn
Let's analyze tweets from Data + AI Summit 2022! Modern data engineering requires a more advanced data lifecycle for data ingestion, transformation and processing. In this session, you can learn how the Databricks Lakehouse Platform provides an end-to-end data engineering solution that automates the complexity of building and maintaining data pipelines. Enjoy a fun, live, streaming data example with a Twitter data stream, Databricks Auto Loader and Delta Live Tables as well as Hugging Face sentiment analysis.
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Simplify data ingestion and automate ETL
Ingest data from hundreds of sources. Use a simple declarative approach to build data pipelines.
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Code in Python, R, Scala and SQL with coauthoring, automatic versioning, Git integrations and RBAC.
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See why over 9,000 customers worldwide rely on Databricks for all their workloads from BI to AI.