Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. It provides a strategic framework to manage enterprise data with the highest standards of data quality , security, and accessibility.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MARCH 28, 2024

The former offers a comprehensive view of an organization’s data assets. It facilitates data discovery and exploration by enabling users to easily search and explore available data assets. This functionality includes data definitions, schema details, data lineage, and usage statistics.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

SEPTEMBER 4, 2024

Unified data governance Even with decentralized data ownership, the data mesh approach emphasizes the need for federated data governance , helping you implement shared standards, policies, and protocols across all your decentralized data domains.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. PII under EU GDPR or internal team data).

Government 52

Government Data Governance Master Data Management Documentation 52

GAVS Technology

JUNE 2, 2021

Data fabric aims to simplify the management of enterprise data sources and the ability to extract insights from them. While focus on API management helps with data sharing, this functionality has to be enhanced further as data sharing also needs to take care of privacy and other data governance needs. Data Lakes.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Data Pine

SEPTEMBER 27, 2022

The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross. It is a must-read for understanding data warehouse design. The book covers Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL, and Microsoft Access.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Astera

MAY 30, 2024

Variety : Data comes in all formats – from structured, numeric data in traditional databases to emails, unstructured text documents, videos, audio, financial transactions, and stock ticker data. Veracity: The uncertainty and reliability of data. Veracity addresses the trustworthiness and integrity of the data.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

ElegantJ BI

MARCH 19, 2021

When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa). So, there is definitely a need to provide both approaches in data analysis.

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa). So, there is definitely a need to provide both approaches in data analysis. Original Post : Data Agility and ‘Popularity’?

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa). So, there is definitely a need to provide both approaches in data analysis. Original Post : Data Agility and ‘Popularity’?

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

AUGUST 28, 2024

Ideal for: user-friendly data exploration and self-service analytics, well-suited for businesses of all sizes with a focus on intuitive data discovery. SAS Viya SAS Viya is an AI-powered, in-memory analytics engine that offers data visualization, reporting, and analytics for businesses.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Insight Software

OCTOBER 11, 2023

A Quick Overview of Logi Symphony Download Now Here are the key gains your applications team receives with Logi Symphony: All Things Data Improve data quality and collaboration to enable consumers with the tools to readily understand their data. Join disparate data sources to clean and apply structure to your data.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance User Experience 52

Insight Software

MARCH 14, 2024

Jet’s interface lets you handle data administration easily, without advanced coding skills. You don’t need technical skills to manage complex data workflows in the Fabric environment. Data Discovery and Semantic Layer By facilitating effective data discovery and the development of a semantic layer, Jet gives Fabric users more control.

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52