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How Cloud ERP Powers Enterprise Intelligence

IT Toolbox

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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Your New Data Center Services, Infrastructure Outsourcing, And Semiconductor Analyst

Forrester IT

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.

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4 hidden risks of your enterprise cloud strategy

CIO Business Intelligence

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.

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Cloudera CEO: Enterprise Data Cloud Vision Nearly Complete

CTOvision

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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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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Aerospike Cloud Puts Enterprises in Control of Their Digital Transformation Strategy

CTOvision

the global leader in next-generation, real-time NoSQL data solutions, today announced the release of the Aerospike Kubernetes Operator and advancements in Aerospike Cloud Managed Service to help enterprises […]. Aerospike Inc.,

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Cloudera announces new storage certification for Cloudera Data Platform Private Cloud

CTOvision

Cloudera, the enterprise data cloud company, has announced the successful completion of the Quality Assurance Test Suite (QATS) certification of Dell EMC PowerScale/Isilon 8.2.2 on Cloudera Data Platform Private Cloud.

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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.