Webinar Recording

Department Data Warehouse

Learn how to turn data into actionable insights using a comprehensive 'serverless' data analytics and machine learning platform. Realize the benefits of 'no-ops', integrated, end-to-end data analytics that eliminates conventional limitations on scale, performance, and cost efficiency.

During this webinar, attendees learned about:

  • Google’s Data Analytics Platform
  • Data Discovery capabilities in Google Cloud Platform
  • Integrating various data sources with Google Cloud Platform
  • Data Democratization

Webinar Recording

Migrating Databases into BigQuery

During this webinar, attendees learned:

  • Google Data Analytics Platform Overview - Benefits and Value Proposition
  • Overview of Data Integration capabilities in Google Cloud Platform
  • Google Cloud Data Fusion for Data Ingestion
  • Google BigQuery for Data Analytics

Webinar Recording

Streaming and Batching Data

This webinar covered:

  • Overview of Pub/Sub, Apache BEAM, DataFlow, and BigQuery
  • Connecting to existing Pub/Sub Systems
  • Creating Apache BEAM pipelines to move data into BigQuery
  • Viewing geospatial data in BigQuery

Webinar Recording

AI/ML for Data Warehouse

During this webinar, attendees learned about:

  • BigQuery and how it works with GCP data storage service such as Cloud Storage
  • Google Cloud AI/ML offerings
  • How to create regression models with BigQuery ML
  • AI/ML workflows with BigQuery using Jupyter Notebook and Pandas through a demonstration

Webinar Recording

Machine Learning at the Tactical Edge

This webinar included:

  • Workloads that support both connected and disconnected environments and leverage the respective strengths of both
  • New Google announcements and capabilities offered to the government
  • Google Cloud Platform-enabled content fusion and machine learning used to extract intelligence from unclassified imagery
  • Google Maps Platform data and capabilities, including Places, Geocoding, Roads Networks, and more
  • A demonstration of a hypothetical SOF workflow scenario


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