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 Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data Modeling.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Jet Global

JANUARY 15, 2021

You might measure those costs in different ways, including actual dollars and cents, staff time, added complexity, and risk. There are numerous soft costs involving risk and potential business disruption. In other words, switching costs are not just about money. Reporting as a Key Cost-driver.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Jet Global

OCTOBER 7, 2020

In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake. Reporting and analytics solutions from insightsoftware eliminate complexity, reduce cost, and decrease the risk of lengthy implementations. Microsoft is currently developing this capability.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

AUGUST 1, 2024

Effective planning, thorough risk assessment, and a well-designed migration strategy are crucial to mitigating these challenges and implementing a successful transition to the new data warehouse environment on Amazon Redshift. The data warehouse is highly business critical with minimal allowable downtime. Vijay Bagur is a Sr.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100