Data Discovery Data Management Download 
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)? Why is Enterprise Data Management Important?
Astera
MAY 22, 2024
Here’s a breakdown of key roles important for a successful data governance program: Data Governance Council: This high-level body provides strategic direction for the program. The board ensures that data governance processes are implemented within everyday operations, promoting consistent departmental data management.
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Data Pine
MARCH 25, 2019
In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.
Astera
JUNE 4, 2024
While data dictionaries offer some lineage information for specific fields within a database, data catalogs provide a more comprehensive lineage view across various data sources. Benefits of a Data Catalog Streamlined Data Discovery Data catalogs empower users to locate relevant datasets quickly based on specific criteria.
Astera
JULY 12, 2024
This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources. The primary purpose of a resource catalog is to facilitate efficient data discovery, governance , and utilization. This complexity can hinder effective data management and utilization.
Astera
MAY 14, 2024
Master data management vs. Metadata management Before proceeding, it’s essential to clarify that while both master data management (MDM) and metadata management are crucial components of data management and governance, they are two unique concepts and, therefore, not interchangeable.
Astera
JULY 13, 2023
The Six Steps of Data Wrangling Data wrangling is more than just preparing data for analysis; it is a dynamic process of refining and optimizing data to uncover insights. If you are new to data wrangling, it can be overwhelming to know where to start.
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