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Becoming a Prized Data Warehouse and Data Integration Tester

Dataversity

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Click to learn more about author Wayne Yaddow.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

Definition: Data Mining vs Data Science. Data mining is an automated data search based on the analysis of huge amounts of information. Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Data Mining is an important research process.

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16 Best Business Intelligence Books To Get You Off the Ground With BI

Data Pine

But with so many business analytics books out there and so little time, how do you decide which ones are worth your time? But before we unveil our definitive rundown of intelligence and business analytics books, let’s explore some facts, figures, and insights that will inspire you while steering your success in the exciting world of BI.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

Data Pine

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

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How to Build a Performant Data Warehouse in Redshift

Sisense

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. This results in less joins between the metric data in fact tables, and the dimensions. So let’s dive in! OLTP vs OLAP.

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The Four Pillars of a Data Fluent Organization

Juice Analytics

The symptoms we see are varied: lack of management support, lack of end-user adoption; poorly defined requirements; data warehouse projects that never seem to finish. And for each of these problems, the data industry has crafted different “solutions” or technologies to try to address them. We wrote a book about it.

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Introduction To The Basic Business Intelligence Concepts

Data Pine

Such jargon leads to business intelligence buzzwords that can dilute the meaning of important information. In his book, Waitzkin states that the best chess players are those that can take in the most information in a short span of time. Introduction To Business Intelligence Concepts. Let us explain.