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. The broker manages and optimizes the queries, distributes them across the servers, combines the results, and returns the result set.

OLAP 93

OLAP Analytics Visualization Dashboards 93

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. These campaigns are optimized by using an AI-based bid process that requires running hundreds of analytical queries per campaign.

Big Data 78

Big Data Data Warehouse Advertising OLAP 78

Jet Global

AUGUST 14, 2019

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.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

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

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

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. An optimal design choice is to use a dimensional model. Building a dimensional model A dimensional model optimizes read performance through efficient joins and filters.

Data Warehouse 90

Data Warehouse Data Lake OLAP Cost-Benefit 90

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. 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 78

Analytics Data Warehouse Data Lake Metadata 78

Jet Global

OCTOBER 2, 2019

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.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

MAY 4, 2021

As the first in-memory database for SAP, HANA was revolutionary, bringing together the best characteristics of both traditional online transaction processing and online analytical processing. BW does not provide reporting per se; it provides a data repository optimized for certain kinds of reporting.

Reporting 52

Reporting IT Finance Data Warehouse 52

AWS Big Data

MARCH 13, 2025

Indexes are then configured to optimize query performance, as per the flow in the diagram below. StarTrees tiered storage enables automation for real-time query processing with index pinning, prefetching, and intelligent data movement between hot and cold storage, optimizing both performance and cost.

Management 91

Management Analytics OLAP Online Analytical Processing 91