data vault 2.0 streaming with delta live tables
Live Webinar

Data Vault 2.0 Streaming with Delta Live Tables

Wednesday, April 9, 2025|10:00 am CDT | 4:00 pm BST

Join us for an exclusive deep dive into Data Vault 2.0 streaming with Delta Live Tables and Apache Spark Structured Streaming—where agility meets scalability in modern data architectures.

What You’ll Learn:

  • Build Real-time Ingestion Pipelines – Streamline raw vault processing with Delta Live Tables, ensuring continuous data flow and optimized storage.
  • Master Data Vault 2.0 in Streaming – Implement hashed Hub keys, Link tables, and historical Satellite tracking in a real-time environment.
  • Optimize Incremental Processing – Leverage Delta Lake to manage large-scale streaming data, supporting schema evolution without costly full reloads.
  • Ensure Data Quality & Compliance – Use Delta Live Tables Expectations for real-time validation, error logging, and auditing.

Don’t miss this opportunity to future-proof your data strategy and enhance your streaming architecture. Reserve your spot now!

Endika Pascual

Principal Solutions Architect

Register Now

By filling and submitting this form you understand and agree that the use of WhereScape’s website is subject to the General Website Terms of Use. Additional details regarding WhereScape’s collection and use of your personal information, including information about access, retention, rectification, deletion, security, cross-border transfers and other topics, is available in the Privacy Policy.

Learn more about our unique data productivity capabilities for these leading platforms

Deploy on Microsoft Azure and integrate with Microsoft applications.

Seamlessly work with Amazon Web Services (AWS).

Leverage a complete range of Google infrastructure and data solutions.

Ingest data from multiple sources and deliver more business insights.

DataBricks

Deliver a wider variety of real-time data for Al, ML and data science.

Enable your data journey with a modern ETL solution

See how WhereScape users automate over 12 trillion gigs of data each month.