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CIO Business Intelligence
NOVEMBER 23, 2022
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.
CTOvision
MARCH 5, 2014
Register for the webinar and receive a free guide to dimensional modeling from his latest book. Prior to Cloudera, he delivered enterprise search, business intelligence, and data discovery products at Endeca and Oracle. Analysis Big Data CTO DoD and IC Apache Hadoop Cloudera Hadoop PARC Ralph Kimball Stanford University'
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CIO Business Intelligence
MAY 6, 2024
We sought technology leaders who could advise on succeeding fast, along with creating a strong organization, developing team leaders, leveraging the support of peers, and specifically how to streamline day-to-day management of a technology group. One day, your employee should say, ‘Yes, my manager helped my career progress.’”
CIO Business Intelligence
MAY 2, 2022
Ken Finnerty, vice president of information technology at overall winner UPS , will discuss how the shipping giant thinks about innovation and tools like artificial intelligence and data architecture with Chandana Gopal, IDC’s research director for Future of Intelligence. Don’t miss out – register today.
CIO Business Intelligence
OCTOBER 23, 2023
Instead, it’s about transforming how IT itself works, scales, and evolves so that it can keep pace with the continuous transformation that the technology organization is expected to deliver to the broader enterprise. In short, Jain says, “FinOps will help you focus on the right cloud architecture and design.”
CIO Business Intelligence
JANUARY 10, 2024
Be strategic with reserve pricing Reserve pricing for cloud services can reduce resource usage costs by as much as 70%, says David McKee, who in his role as fractional CTO, tech founder, and digital twins thought leader at Counterpoint Technologies acts as a part-time CTO for nine companies in the US and Europe.
CTOvision
JULY 9, 2014
The data is too big, moves too fast, or does not fit the structures of your database architectures. However, massively parallel processing (MPP) database architectures are one example of purpose-built technologies that have been developed to support both OLTP and OLAP data structures at enormous scales up into the petabytes (PB).
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