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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

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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What is Metadata Management? Benefits, Framework, Tools, Use Cases, Best Practices

Astera

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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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

A strong implementation of big data strategy, architecture, governance and management will reduce the risks of prominent challenges to big data analytics. Big Data Storage Optimization. As mentioned, big data storage optimization is a tedious task with a lot of room for security errors if not carefully monitored.

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Top 6 Mulesoft Alternatives & Competitors in 2024

Astera

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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Data Quality Framework: What It Is and How to Implement It

Astera

Data cleaning , or cleansing, enables you to detect and fix these inconsistencies in your data sets, making it fit for purpose. Data quality monitoring Data quality monitoring is the ongoing process of measuring and evaluating the quality of your data across various dimensions.

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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

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. Based on user feedback, Ataccama ONE exhibits certain limitations.

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The Top 7 Data Aggregation Tools in 2024

Astera

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.