Smart Data Collective

APRIL 29, 2020

What is data management? Data management can be defined in many ways. Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. The storage and processing of data through a cloud-based system of applications.

Data Management 220

Data Management Data Warehouse Master Data Management Digital Transformation 220

BizAcuity

APRIL 14, 2022

The comprehensive system which collectively includes generating data, storing the data, aggregating and analyzing the data, the tools, platforms and other softwares involved is referred to as Big Data Ecosystem. Enterprise Big Data Strategy. The larger the company, the more complex their ecosystem becomes.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Management of all enterprise data, including master data.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

MAY 14, 2024

What is metadata management? Before shedding light on metadata management, it is crucial to understand what metadata is. Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. What is a metadata management framework (MMF)?

Government 52

Government Data Governance Master Data Management Documentation 52

GAVS Technology

NOVEMBER 3, 2020

As evident in most hospitals, these information are usually scattered across multiple data sources/databases. Hospitals typically create a data warehouse by consolidating information from multiple resources and try to create a unified database. The below screen shots show the samples from reference implementation.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

Astera

APRIL 3, 2024

Ensure Only Healthy Data Reaches Your Data Warehouse Learn More What are the components of a data quality framework? These are important elements or building blocks that come together to create a system that ensures your data is trustworthy and useful.

Data Quality 52

Data Quality Data Governance Government Monitoring 52