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A Complete Guide to Data Warehousing in 2022

Analytics Vidhya

Introduction on Data Warehousing In today’s fast-moving business environment, organizations are turning to cloud-based technologies for simple data collection, reporting, and analysis. This is where Data Warehousing comes in as a key component of business intelligence that enables businesses to improve their performance.

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Why Business Intelligence is Top of Mind for CFOs for 2022

Jet Global

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

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Australia’s IT leadership moves 2022

CIO Business Intelligence

Here’s an update on the moves of Australian IT leaders starting from June 2022. Kuret replaces Scott Wall who after four years with BankVic joined Bank Australia as chief transformation officer in June 2022. CIO Australia consistently tracks the moves of IT leaders. Simon Herbert departs from NSW Customer Service. IT Leadership

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Please vote before May 11! 2022 DBTA Reader’s Choice Awards

erwin

Please help us keep our #1 position in 2022. In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Read more about erwin® Data Modeler by Quest. Best Data Security Solution (Quest ApexSQL). We need your help!

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

datapine

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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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures. Are data architects in demand?