AWS Big Data

FEBRUARY 28, 2023

Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. You can remove this filter in your test to view data for all regions. In this post, we discuss how to use these extensions to simplify your queries in Amazon Redshift.

Online Analytical Processing 76

Online Analytical Processing OLAP Slice and Dice Analytics 76

Jet Global

SEPTEMBER 4, 2020

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.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

SEPTEMBER 22, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Without the MERGE command, you needed to test the new dataset against the existing dataset using a business key. Amazon Redshift has recently added many SQL commands and expressions.

Data Warehouse 106

Data Warehouse OLAP Risk Online Analytical Processing 106

Jet Global

OCTOBER 22, 2020

It updates a dedicated database against which you can perform reporting and analytics. That stands for “Online Analytical Processing,” and it’s a paradigm that goes back a little more than two decades, to a time when database performance and computational power were far less robust than they are today.

Modeling 52

Modeling OLAP Reporting Sales 52

Sisense

FEBRUARY 16, 2021

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space. Jinja’s important features. The most powerful feature offered by Jinja is template inheritance.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

IBM Big Data Hub

SEPTEMBER 25, 2023

If the exploratory work needs to move on to testing and production, they can plan appropriately. As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries.

OLAP 90

OLAP Data Lake Data-driven Snapshot 90