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. Amazon Redshift has recently added many SQL commands and expressions.

Data Warehouse 119

Data Warehouse OLAP Risk Online Analytical Processing 119

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber chose Presto for the flexibility it provides with compute separated from data storage. 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 86

OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime. About the authors Chanpreet Singh is a Senior Lead Consultant at AWS, specializing in Data Analytics and AI/ML. Harshida Patel is a Analytics Specialist Principal Solutions Architect, with AWS.

Data Warehouse 101

Data Warehouse KPI Optimization Cost-Benefit 101

Jet Global

OCTOBER 22, 2020

It updates a dedicated database against which you can perform reporting and analytics. Within the data warehouse paradigm, there are two divergent approaches. Moore’s law marches on, databases are more powerful, and processing speeds are faster than ever. The era of big data has arrived. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

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.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query.

Data Warehouse 93

Data Warehouse Data Lake OLAP Cost-Benefit 93

AWS Big Data

MARCH 7, 2023

Data subscription and access is fully managed with this service. Data repository services Amazon Redshift is the recommended data storage service for OLAP (Online Analytical Processing) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Analytics 80

Analytics Data Warehouse Data Lake Metadata 80

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Redshift, like BigQuery and Snowflake, is a cloud-based distributed multi-parallel processing (MPP) database, built for big data sets and complex analytical workflows.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

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 93

Management Analytics OLAP Online Analytical Processing 93