AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. Consumption This pillar consists of various consumption channels for enterprise analytical needs. Along with metadata management, data quality is important to increase confidence for consumers.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

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. So how is the data extracted?

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

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

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. So how is the data extracted?

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40