Forrester IT
APRIL 23, 2024
Cloud has driven enterprise IT transformation with speed and scale that was simply impossible with data centers alone. But operating models haven’t always kept up — and the mismatch means that old operating models impede the optimization of cloud IT.
IT Toolbox
SEPTEMBER 5, 2023
How cloud computing fuels the beating heart of the intelligent enterprise through ERP technology. The post How Cloud ERP Powers Enterprise Intelligence appeared first on Spiceworks.
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Forrester IT
FEBRUARY 23, 2024
I am happy to announce that my coverage area now includes Data Center Services, Infrastructure Outsourcing, and Semiconductors. This is in addition to my existing coverage of Technical Debt and Enterprise Architecture.
CIO Business Intelligence
APRIL 11, 2024
In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East.
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Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.
CIO Business Intelligence
FEBRUARY 20, 2024
As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT.
CTOvision
DECEMBER 21, 2020
The hard work may be paying off for Cloudera, the embattled former Hadoop distributor that’s been pivoting to an enterprise data cloud strategy for the past year-and-a-half. With the delivery […].
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Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.
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Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.
Advertiser: Data Robot
Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.
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