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

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime. This will enable right-sizing the Redshift data warehouse to meet workload demands cost-effectively. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. It organizes data into user-friendly structures, aligning with shared business definitions, ensuring users can analyze data with ease despite changes.

OLAP 110

OLAP Analytics Visualization Dashboards 110

Jet Global

OCTOBER 22, 2020

As a security measure, Microsoft is closing off direct database access to live Microsoft Dynamics ERP data. The company is pointing customers to several other options, including “BYOD” (which stands for “bring your own database”) and Microsoft Azure data lakes. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

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. There may be inaccuracy because of sampling, but it allows users to discover new viewpoints within the data.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

MARCH 13, 2025

Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution. In addition, StarTree offers a managed experience for real-time and batch Pinot workloads, offering enhanced security, automated data ingestion, tiered storage, and off-heap upserts.

Management 80

Management Analytics OLAP Online Analytical Processing 80