Product Demonstration

Discover the Self-Documenting Warehouse

Thursday, February 8, 2024|10:00 CET | 17:00 SGT

Streamline Your Data Journey with WhereScape’s Automated DocumentationĀ 

Join our 30-minute live demo to witness the exceptional capabilities of WhereScape, transcending beyond mere data automation. Discover how a single click can replace hours of manual documentation, offering you a more efficient way to manage your data projects.

Effortless and Detailed Documentation

WhereScape’s automated documentation is a marvel, meticulously capturing every user action and architectural element. This out-of-the-box feature not only saves time but also enhances accuracy and efficiency. Key highlights include:

  • Automatically highlights potential bugs, enabling quicker detection and resolution.
  • Detailed lists of columns and objects, including creators and their inclusion in specific tables.
  • Trace data origins and destinations for complete transparency.
  • Extensive details about data types and current objects under review.
  • Visualize the connections and interactions within your architecture.

Embrace a world where the tedium of documentation is eliminated, freeing up your time to focus on high-value tasks. Meet Agile deadlines with ease and efficiency, without compromising on quality or thoroughness.

Attend our session and revolutionize how you approach data management – turning documentation from a headache to a hassle-free, automated process with WhereScape.

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.