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Data Warehouses, Data Marts and Data Lakes

Analytics Vidhya

Introduction All data mining repositories have a similar purpose: to onboard data for reporting intents, analysis purposes, and delivering insights. By their definition, the types of data it stores and how it can be accessible to users differ.

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Real-time analytics

Dataconomy

Real-time analytics is transforming the way businesses interact with their data, enabling them to make informed decisions swiftly and effectively. By analyzing data as it streams into a system, organizations can gain instantaneous insights into operations, customer behavior, and more. What is real-time analytics?

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Analytics databases

Dataconomy

Analytics databases play a crucial role in driving insights and decision-making in today’s data-driven world. By providing a structured way to analyze historical data, these databases empower organizations to uncover trends and patterns that inform strategies and optimize operations. What are analytics databases?

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Dimension tables

Dataconomy

Dimension tables are an integral part of dimensional modeling within a data warehouse. By categorizing data, dimension tables help to organize various aspects such as time, location, products, and customer information. This is especially valuable in large data warehouses where speed is critical for analytics.

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Data Integrity for AI: What’s Old is New Again

Precisely

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

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Conformed dimensions

Dataconomy

A conformed dimension is a set of attributes that are shared across multiple fact tables within a data warehouse. This ensures that different business processes can utilize the same dimensional data, enabling a consistent understanding and analysis of information, regardless of the source.

ETL 91
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How an MIS degree prepares you for the intersection of business and analytics

Dataconomy

An MIS degree does not merely impart programming or database theory but provides students with analytical capacity, leadership potential, and communication prowess to transform technical findings into strategic action. For individuals who aspire to use data to drive positive change, an MIS degree is a solid foundation.