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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

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PaaS, IaaS, and SaaS: Making the Right Choice for Your Oracle Cloud Migration

Datavail

The term XaaS (“anything as a service”) is shorthand for the proliferation of cloud services in recent years—everything from databases and artificial intelligence to unified communications and disaster recovery is now available from your choice of cloud provider.

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What Is Cloud Analytics – And Why Should You Use It?

Datavail

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

A cloud service provider generally establishes public cloud platforms, manages private cloud platforms and/or offers on-demand cloud computing services such as: Infrastructure-as-a-Service (IaaS) Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Disaster Recovery-as-a-Service (DRaaS). Compliance, Security and Disaster Recovery.

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Altexsoft - Untitled Article

Altexsoft

A data warehouse is defined as a centralized repository where a company stores all valuable data assets integrated from different channels like databases, flat files, applications, CRM systems, etc. A data warehouse is often abbreviated as DW or DWH. You may also find it under the name of an enterprise data warehouse (EDW).

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