Building a Modern Analytics Ecosystem

Now, more than ever, enterprises need speed, agility, and insight to navigate today's rapidly-changing business environments.

Fast, actionable intelligence is a universal goal. However, making the right data available to the right people at the right time is an ongoing challenge.

To cover the full spectrum of enterprise data—and the diverse needs of enterprise data users—traditional data warehousing and analytics systems need to be reexamined.

DBTA recently held a webinar with John O'Brien, principal analyst and CEO, Radiant Advisors and David Dichmann, director, product marketing, data warehouse, Cloudera, who discussed the three necessities for a modern analytics ecosystem today.

According to O’Brien, the three necessities are:

  • A Public Cloud Strategy-Public clouds enable a new era of application and data management while freeing companies from costly infrastructure administration and resource constraints necessary for data warehouses to reach their full potential.
  • An Integrated Data and Analytics Ecosystem-Modernizing the analytics ecosystem may begin with cloud data lakes or data science teams, but it is necessary to have a data warehouse within the cloud environment for integrated and defined data hubs and subject areas to draw upon.
  • A Streaming Data-First Strategy-Embracing a paradigm whereby all data flows in streams resets the common denominator for all analytics applications to leverage easily and faster.

“Have a cloud strategy based on cloudnative principles and increase value with maturity,” O’Brien said. “Recognize the benefits of shared resources and functions for all data assets and have a streaming-first mindset for real-time data value and building robust data pipelines.”

Traditional on premise data warehouses can’t keep up with evolving user demands, Dichmann said. Three expectations for a modern data warehouse include:

  • Support massive scale with public, private, hybrid, and multi cloud
  • Integrated data lifecycle from edge to AI
  • Steaming data, time series, and real-time analytics

Enterprise data cloud architecture should have multi-function analytics, be hybrid and multi-cloud, secure and governed, and act as an open platform, Dichmann said.

The Cloudera Data Platform can offer all these benefits, according to Dichmann. The solution offers broad spectrum coverage of data warehouse workloads.

An archived on-demand replay of this webinar is available here.