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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. Saving time and headaches with online analytical processing tool. Read our white paper on Advanced Data Lineage to learn more Download the White Paper.

OLAP 81
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The Enterprise AI Revolution Starts with BI

Jet Global

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

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Use the new SQL commands MERGE and QUALIFY to implement and validate change data capture in Amazon Redshift

AWS Big Data

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. To follow along with the steps in this post, we recommend downloading the accompanying notebook , which contains all the scripts to run for this post.

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Business Intelligence Solutions: Every Thing You Need to Know

FineReport

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Free Download. Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels. Why not try FineReport now for free?

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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. You can follow these steps to open the Tableau workbook to visualize Download the Tableau workbook to your local machine and open the workbook from Tableau Desktop.

OLAP 101
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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. Download Now.

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The Future of AI in the Enterprise

Jet Global

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.