Combining all your data from disparate sources is the first step toward turning it into business value. Whether you’re new to data integration or refreshing your understanding, “Back to Basics Webinars: Data Integration” will clarify what it is, why it’s critical to analytics and business initiatives, and how it’s evolving with changing business requirements, technologies, and frameworks. These four episodes look at:

  • New use cases for business modernization
  • Leveraging advanced capabilities for cost and performance improvements
  • Modernizing your data warehouse for the cloud
  • Emerging data integration trends

Episode 1 – Data Integration 101: New Use Cases and Examples

Explore the evolution of data integration in 6 real-world examples of:

  • Better performance at lower cost
  • Real-time analytics, multi-cloud integration, and cloud data warehouse modernization
  • Moving from Hadoop to Spark and ETL to ELT

Episode 2 – Data Integration 201: Multiplying Effect of Advanced Features

Learn about the industry-leading data integration capabilities of Informatica’s future-ready data platform, including:

  • Massive parallel processing
  • Serverless processing
  • Complex transformations
  • Cost optimization engine
  • Autonomous data integration

Episode 3 – ETL or ELT? Guidewire Insurance accelerates cloud modernization with pre-built connectors and analytics powered by Informatica

Learn how a customer added value to its Snowflake implementation using a pre-packaged finance analytics solution built on Informatica’s Intelligent Data Management Cloud (IDMC) platform to:

  • Process data with both ETL and ELT
  • Modernize analytics
  • Improve performance and security for better compliance with industry requirements

Episode 4 – Data Integration Trends for 2022: Data Mesh Powered by Autonomous DI

Informatica experts and customers discuss market-leading data integration innovations:

  • What’s next in XOps (DataOps, MLOps)
  • The impact of data fabric, autonomous data integration, and serverless processing
  • Future-proofing your data platform