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 93

OLAP Analytics Visualization Dashboards 93

Jet Global

SEPTEMBER 4, 2020

When Microsoft released the next generation of the product in 2017, Microsoft Dynamics 365 for Finance and Supply Chain Management (D365F&SCM) , there were some significant changes behind the scenes. 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

Jet Global

AUGUST 14, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. It constitutes components like metadata management, data quality, lineage, masking, and stewardship, which are required for organized maintenance of the data hub.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

Jet Global

OCTOBER 2, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

AWS Big Data

MARCH 13, 2025

However, this approach requires self-management of the infrastructure required to run Pinot, as well as a number of manual processes to run in production. StarTree is a managed alternative that offers similar benefits for real-time analytics use cases.

Management 91

Management Analytics OLAP Online Analytical Processing 91