Data Aggregation is Unavoidable! (And Other Big Data Lies)

Data Aggregation is Unavoidable! (And Other Big Data Lies)

Data has outgrown the legacy technologies we’ve developed to collect, manage, and act on it to create value. What was once a couple of gigabytes of data that could be batch ETL’d into a data warehouse and analyzed for insight, has exploded into petabytes of data. The complex infrastructures attempting to support the scale, often through costly, inefficient preprocessing and pre-aggregation strategies aren’t enough to remain competitive.

 

Join our webinar to learn a new way to think about your data. Hear real life success stories of organizations that can collapse data schemas on ingest, negating the need for pre-aggregation and enabling true real-time analytics, wherever data may be.

Key takeaways

  • Pre-aggregation strategies are workarounds to deal with data infrastructure problems
  • Pre-aggregating data often creates performance problems and masks important insights
  • Eliminating the need for pre-aggregation enables true real-time at scale  for analytics, predictions, and more

Featured speakers

Erica Fowler, PhD
Senior Product Marketing Manager Erica is a strategy and analytics professional with 12 years of read more…

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