TH3 Designing a Data Architecture for Modern Business Intelligence & AnalyticsNEW!

February 14, 2019

9:00 am - 5:00 pm

Duration: Full Day Course

Prerequisite: None

Modern BI and analytics architecture has evolved beyond the traditional data warehouse with elements such as a logical data warehouse, data lakes, distribution hub, data catalog, analytics sandbox, and data science hub, along with both self-service data preparation and BI. However, achieving ROI with these approaches is fruitless without the right data and technical architectures. This workshop clarifies what you need to know regarding structured, unstructured, and semistructured data; hybrid integration and data engineering; and analytical uses by casual info consumers, power users, and data scientists. Technologies include databases (relational, columnar, in-memory, and NoSQL); hybrid data, application and cloud integration; data preparation; data virtualization; descriptive, diagnostic, predictive, and prescriptive analytics; and on-premises, cloud, or hybrid deployments.

Architecture Includes

  • Data structures and workflow
  • Data engineering, data integration, data preparation, and data virtualization
  • Business intelligence and advanced analytics
  • Enabling technologies
  • Enterprise information management and governance

You Will Learn

  • The must-have underlying foundational concepts for every project
  • High-level architectural design to pull it all together
  • The best pragmatic practices to ensure success
  • How to avoid deadly data and integration silos
  • How to prevent data swamps, data shadow systems, and spreadmarts

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TDWI Las Vegas

Caesars Palace
Las Vegas, NV
February 10–15

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