TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Webinar

• Squeeze Every Drop of Business Value from Your Data Lake

  Data catalogs contribute ease, precision, and productivity of analytics, self-service, and governance to modern data platforms. Learn how a catalog can inventory data in a data lake for self-service data exploration and data-driven operations and help users find the right data quickly. more

• Multiplatform Data Architectures

  The content of this webinar is based on the research findings of a new Best Practices Report by TDWI’s Philip Russom called “Multiplatform Data Architectures: Addressing Complex Modern Requirements for Hybrid Data and its Business Use”. more

• Modern Metadata Management: Boosting BI capacity with automation and machine learning

  This webinar discusses many of these functions and their business impact, including intelligent tool automation, embedded analytics, metadata scanning, and metadata management. more

• New Practices in Data Cataloging

  This webinar will drill into the new functionality that is available through data cataloging, plus the beneficial use cases for both business and technical programs. more

• Getting Started with Data Integration in the Cloud

  TDWI has recently completed a new Checklist Report that gets users started with data integration in the cloud. The report looks at current trends and requirements, then recommends starting points and best practices for users who need to embrace cloud data integration. more

• How to Design a Data Lake with Business Impact in Mind

  In this webinar you will learn what organizations need from a data lake and how to accommodate data labs, sandboxes, self-service, and other data exploration approaches. You'll also learn how business requirements deeply affect data lake design patterns and system architectures, plus how most data lakes integrate tightly with data warehouses, analytics repositories, marketing campaign and channel data, and other enterprise data environments. more

• The Automation and Optimization of Advanced Analytics based on Machine Learning

  In this TDWI webinar, you will learn about data, tool, platform, and technology requirements for machine learning and how automation can help optimize ML-driven advanced analytics. more

• Six Strategies for Balancing Risk with Data Value

  In this TDWI webinar, we’ll consider data value and intelligence in the context of compliance. more

• Extending Your Data Warehouse Environment with Hadoop: Bringing Enterprise and External Data Together

  View this webinar to learn about these and other ways Hadoop is being used in conjunction with data warehousing. All are meaningful because they help user organizations get greater business value from a widening range of data types, sources, structures, interfaces, and containers. more

• What It Takes to Be Data-Driven: Technologies and Practices for Becoming a Smarter Organization

  Join Fern Halper, TDWI VP and senior research director for advanced analytics, and David Stodder, senior research director for BI, to learn more about the research from their new Best Practices Report about what it takes to become data-driven. They will discuss their findings and present recommendations for organizational and technology best practices. more

• Building a Successful Data Lake in the Cloud

  Data lakes on Hadoop have come on strong in recent years because they help many types of user organizations – from Internet firms to mainstream industries – capture big data at scale and analyze or otherwise process it for business value. more