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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

Re-Thinking the Storage Infrastructure for Business Intelligence. 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. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

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AI & Business Analytics: A Smart Guide

Sunflower Lab

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

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Data Virtualization with Oracle Enterprise Semantic Models

Perficient

A common symptom of organizations operating at suboptimal performance is when there is a prevalent challenge of dealing with data fragmentation. The fact that enterprise data is siloed within disparate business and operational systems is not the crux to resolve, since there will always be multiple systems.

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Sightfull, a startup that tracks key business activities, raises $18M

TechCrunch

In late 2020, developers Noam Liran and Alex Litvak were inspired to create a platform that applied automation concepts from security to the business analytics space. Based on data from Venture Scanner, VC funding in RO&I companies jumped from $321 million in 2020 to $952 million in 2021.

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The Evolution of the Data Warehouse in the Big Data Era

Dell EMC

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

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Quick Guide to Building an ETL Pipeline Process

The Crazy Programmer

It takes raw data files from multiple sources, extracts information useful for analysis, transforms it into file formats that can serve business analytics or statistical research needs, and loads it into a targeted data repository. Dedicate Specific Connectors and Extract Data from Available Sources.