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.

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Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

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Astera

APRIL 24, 2024

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? At its core, Astera boasts a potent ETL engine that automates data integration.

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Astera

JANUARY 19, 2024

Mulesoft and Its Key Features MuleSoft provides a unified integration platform for connecting applications, data, and devices on-premises and in the cloud. Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Key Features: Drag-and-drop user interface.

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Astera

NOVEMBER 1, 2023

As the financial services sector grapples with an ever-expanding volume of data and increasingly stringent compliance demands, the need for a holistic approach to data governance is undeniable. Regulatory Landscape and Compliance Requirements in Financial Services Data governance and compliance are related but distinct concepts.

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Astera

AUGUST 8, 2023

Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity. Using these tools, you can easily automate your data quality measures and ensure you consistently get reliable insights. Additionally, a few users have reported encountering issues with the data-matching algorithm.

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Astera

JANUARY 2, 2024

Execution and handling of data operations. Objective Ensure data quality, security, and compliance. Efficient and effective handling of data. Activities Policy creation, enforcement, and monitoring. Data collection, storage, processing, and usage. Addresses immediate data handling requirements.

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