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

SEPTEMBER 25, 2024

It provides many features for data integration and ETL. While Airbyte is a reputable tool, it lacks certain key features, such as built-in transformations and good documentation. Limited documentation: Many third-party reviews mention Airbyte lacks adequate connector-related documentation. Let’s find out in this blog.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Astera

MAY 14, 2024

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

JANUARY 2, 2024

Today, this means they should have the necessary resources and infrastructure to be able to deal with big data—large volumes of structured and unstructured data—efficiently. This also includes maintaining data quality while ensuring easy access to the needed data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JULY 13, 2023

One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents. This makes it a valuable resource for organizations that need to analyze a wide range of data types.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

AUGUST 8, 2023

Talend Trust Score: The built-in Talend Trust Score provides an immediate and precise assessment of data confidence, guiding users in secure data sharing and pinpointing datasets that require additional cleansing. Additionally, a few users have reported encountering issues with the data-matching algorithm.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

NOVEMBER 1, 2023

These inconsistencies can undermine the accuracy of risk models, compromise decision-making, and lead to incorrect risk assessments.  Data Breaches and Security Risks:  Inadequate data governance practices increase the vulnerability of financial institutions to data breaches and security risks.

Data Governance 40

Data Governance Government Data Quality Banking 40