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Can Your IT Operating Model Keep Up With Cloud?

Forrester IT

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.

Cloud 458
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Push-Down Query Capabilities: Five Questions To Ask Your Cloud BI Provider

Forrester IT

Clients of most leading enterprise business intelligence (BI) platforms enjoy this cloud elasticity benefit but at a cost. Ultimately, elasticity requires both application and data components (compute and store) to be elastic, […].

Cloud 514
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Google To Acquire Actifio To Beef Up Google Cloud Data Protection

CTOvision

Google is planning to acquire cloud-focused data protection technology developer Actifio in a move to better protect enterprise workloads both on-premises and in the cloud. Google, which Wednesday unveiled the planned […].

Google 362
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HPE Seeks To Bolster Its Hybrid Cloud Management Capabilities And Credibility With Morpheus Acquisition

Forrester IT

On August 15, Hewlett-Packard Enterprise (HPE) announced its intent to acquire Morpheus Data, a multicloud management solution “to make HPE GreenLake cloud the de facto platform for innovating IT.” The deal is expected to close early FY2024 Q4 of its fiscal year.

HP 448
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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

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.

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Supercharging Data Fabrics With Generative AI

Forrester IT

Data fabric has been gaining traction in the enterprise.

Data 440
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Cloudera Introduces Cloudera DataFlow for the Public Cloud

CTOvision

Cloudera, the enterprise data cloud company, today announced the launch of Cloudera DataFlow for the Public Cloud, a cloud-native service for data flows to process hybrid streaming workloads on the Cloudera Data Platform (CDP).

Cloud 408
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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

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.

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Partner Webinar: A Framework for Building Data Mesh Architecture

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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Top Considerations for Building an Open Cloud Data Lake

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.

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5 Things a Data Scientist Can Do to Stay Current

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.