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Emerging Technologies:Innovations and Evolutions in BI, Analytics, and Data Warehousing


Presenter: Philip Russom, TDWI Research Director for Data Management, Dave Stodder, TDWI Research Director for BI, Fern Halper, TDWI Research Director for Advanced Analytics
Date/Time: October 14, 2015, 12:00 PM, EDT
Sponsored by: HP, MicroStrategy, Qlik, Snowflake Computing, Trifacta, Voltage Security, Striim


Note: This is a limited capacity Webinar. Please register early to reserve your spot.


Abstract:
Some emerging technologies (ETs) are so new that they are truly just emerging—for example, technologies for agile BI and analytics, data visualizations, BI on clouds or SaaS, event processing, Hadoop, Apache Spark and Shark, mashups, mobile BI, NoSQL, social media, the Internet of things, solid-state drives, and streaming data. Other ETs have been around for a few years, but are just now seeing appreciable user adoption—for example, appliances, competency centers, collaborative BI, columnar databases, data virtualization, open source, in-database analytics, in-memory databases, MDM, real-time operation, predictive analytics, and unstructured data.

This Webinar informs users about all emerging technologies and methods, plus how the innovation of ETs can support innovation in business processes, operational excellence, customer management, competitiveness, cost containment, IT practices, and the business leverage of data via BI, analytics, and data warehousing.

This Webinar is based on the research findings of a new Best Practices Report on emerging technologies. The report was researched and written by three TDWI analysts: Dave Stodder (ETs for BI and visual data discovery), Fern Halper (ETs for analytics), and Philp Russom (ETs for data warehousing). All three will present their findings and field questions from the audience.

What You Will Learn:
  • Trends and drivers for emerging technologies and methods
  • Why ETs are critical to being a modern, competitive, efficient organization
  • Real-world use cases for ETs in BI, analytics, and data warehousing
  • The many tool types, features, team structures, etc., seen in ETs
  • ETs poised for the greatest adoption in coming years, plus other trends




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