Designing and Deploying Effective Architectures for End-User Analytics
Thursday, July 30th, 2020: 12:00 PM to 1:00 PM
July 26, 2020,
Volume 268, Issue 4

online

Data architectures are being driven into greater complexity by a number of trends:

  • The range of data sources, structures, and latencies continues to broaden as users integrate and analyze data from traditional sources as well as new ones such as web applications, social media, customer channels, partners, and machine data from sensors, devices, vehicles, and the Internet of Things (IoT).

  • The range of business use cases is exploding as managers demand real-time data for operational decisions and massive volumes of detailed source data in support of multiple forms of advanced analytics.

  • Many new and compelling data platforms and data management tools have emerged in recent years (from vendor and open-source communities), and most organizations are eager to modernize their data-driven IT solutions to take advantage of these.

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Other articles in the SF IT TDWI section of Volume 268, Issue 4:
  • Designing and Deploying Effective Architectures for End-User Analytics (this article)

See all archived articles in the SF IT TDWI section.