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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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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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Keys to Data Fluency: Shared Understanding

Juice Analytics

Without arriving at shared definitions and terminology, your data discussion will get stuck in fruitless debates. Where to get started: There are many high-tech Master Data Management solutions… not the place to start. Link to it when you present data in a dashboard, report, or data story.

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The 10 Best Airbyte Alternatives In 2024

Astera

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.

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SQL vs NoSQL: 5 Main Differences

Astera

NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Document databases: Data is stored in document format, such as JSON. Examples are Redis and DynamoDB.

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SQL vs NoSQL: 5 Main Differences

Astera

NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Document databases: Data is stored in document format, such as JSON. Examples are Redis and DynamoDB.

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Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 

Astera

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.