Astera

MAY 22, 2024

What is Data Governance Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. Data governance manages the formal data assets of an organization.

Data Governance 52

Data Governance Government Data Discovery Data Security 52

Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

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Astera

JUNE 14, 2024

The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. Active data governance is essential to ensure quality and accessibility when managing large volumes of data.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

SEPTEMBER 4, 2024

This feature automates communication and insight-sharing so your teams can use, interpret, and analyze other domain-specific data sets with minimal technical expertise. Shared data governance is crucial to ensuring data quality, security, and compliance without compromising on the flexibility afforded to your teams by the data mesh approach.

Data Architecture 52

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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?

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

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.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

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.

Government 52

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Astera

FEBRUARY 27, 2024

Providing a Single Source of Truth A data warehouse consolidates data from diverse sources, removing duplicates and resolving inconsistencies. It provides a single source of truth, ensuring that users access the same and latest version of the data. Why Choose Astera?

Data Warehouse 52

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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.

Big Data 87

Big Data Visualization Data Analytics Data Analytics 87

Astera

JUNE 14, 2024

Automated data governance is a relatively new concept that is fundamentally altering data governance practices. Traditionally, organizations have relied on manual processes to ensure effective data governance. This approach has given governance a reputation as a restrictive discipline.

Data Governance 40

Data Governance Government Data Quality Data Discovery 40

Dataversity

SEPTEMBER 12, 2024

You want to implement data democratization, so you deployed all the new tooling and data infrastructure. You have a data catalog to manage metadata and ensure data lineage and a data marketplace to enable data discovery and self-service analytics.

Data Discovery 290

Data Discovery Data Management Data Governance Data Quality 290

Astera

JANUARY 12, 2024

Modern data architecture is characterized by flexibility and adaptability, allowing organizations to seamlessly integrate structured and unstructured data, facilitate real-time analytics, and ensure robust data governance and security, fostering data-driven insights.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52