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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?

Analytics 338
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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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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. Distinct tools that establish the connection are required for data extraction from sources.

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

Kaseya

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

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Optimizing The Data Warehouse: A Big Data Blueprint from Pentaho

CTOvision

Complete visual integration tools eliminate the need for hand coding in SQL or java-based MapReduce jobs. Save data costs and boost analytics performance. The company saves on storage costs and speeds-up query performance and access to their analytic data mart. An intuitive graphical, no-coding big data integration.

Big Data 119
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How And Why Paytronix Used Pentaho and Cloudera

CTOvision

Data Insights provides restaurants and retailers with the tools and services to synthesize data from all these sources, including big data sources, to help uncover actionable guest insights. It also wanted to improve data storage and ETL to provide better insights for customers and end users. Strong data integration tools.

Big Data 105
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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. The key to using any new set of tools and technologies is to understand what they can and cannot do. Deep Learning".