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5 Best Practices for Data Management in the Cloud

The Data Administration Newsletter

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

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Data Analytics for Crypto Casinos: Significance and Challenges

BizAcuity

Moreover, there should be a powerful data management and analytics pipeline for operational usage. If you would like to strengthen your data and BI strategy, BizAcuity can help you with the same. It also means heavy investments on data storage, management, security and speed at which data should be processed.

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Tales & Tips from the Trenches: Demystifying Edge Computing

The Data Administration Newsletter

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.

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 Top 5 Data Preparation Tools In 2023

Astera

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

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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)? Why is Enterprise Data Management Important?

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What Is Embedded Analytics?

Insight Software

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. This is crucial for multi-tenant applications.