Easily load data into Delta Lake to power analytics, data science and machine learning

Available on-demand

It’s difficult and costly to unify hundreds of different data sources to create a single source of truth. But it’s also the only way to prepare for data science and machine learning.

Watch this webinar on-demand to discover how Databricks simplifies data ingestion into Delta Lake. This webinar will include a demo and live Q&A to introduce you to the newly released features and tools that make data ingestion even easier on the Databricks Lakehouse Platform.

You’ll find out how:

  • To ingest data continuously into your lakehouse from cloud storage, such as Azure Data Lake Storage, AWS S3 or Google Cloud Storage
  • To Ingest data at low latencies from sources like Apache Kafka, Azure Event Hubs, and AWS Kinesis
  • To Empower more users with SQL-only ingestion capabilities
  • Jam City ingests massive volumes of mobile gaming data – reaching hundreds of thousands of records per second – to improve the gaming experience

Speakers

  • Burak Yavuz, Engineering Manager, Databricks
  • Eric Wasserman, Senior Architect, Jam City

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