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The Best Data Management Tools For Small Businesses

Smart Data Collective

Data management approaches are varied and may be categorised in the following: Cloud data management. The storage and processing of data through a cloud-based system of applications. Master data management. The tool assigns the role of ‘data stewards’ in an organisation to manage master data.

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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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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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The 10 Best Airbyte Alternatives In 2024

Astera

Custom Data Transformations: Users can create custom transformations through DBT or SQL. Real-time Monitoring: Includes monitoring and failure alerting for seamless pipeline management. Why Consider Airbyte Alternatives for Data Integration? Pros Real-time monitoring and error alerts.

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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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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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The Impact of Data Quality on M&A Success

Astera

Organizations should prioritize high data quality during the mid-merge stage as it helps in: Master Data Management (MDM): High-quality data is essential for creating a single, authoritative source of truth (master data) across the combined organization.