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Top 20 Data Warehouse Best Practices in 2024

Astera

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

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Finance Data Warehouse for Reporting and Analytics

Astera

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

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Trends in Data Governance and Security: What to Prepare for in 2024

Dataversity

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

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Automated Credit Risk Assessment: How ETL Is Unlocking Better Investments

Astera

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc. The validation process should check the accuracy of the CCF.

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Scalable ETL Architectures: Handling Large Volumes of Data 

Astera

These architectures are designed to handle massive datasets by utilizing distributed computing frameworks like Apache Hadoop and Apache Spark, along with employing parallel processing and data partitioning techniques. ETL architectures ensure data integrity and enable organizations to derive valuable insights for decision-making.

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Single Source of Truth: What Is It and Why Is It Essential?

Astera

However, to establish a single source of truth, enterprises have to combine data from different sources, which is often tedious and time consuming. Because this data is in different formats, transforming it and improving its quality is of prime importance before loading it into a data warehouse.

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Overcoming Snowflake Challenges – A Practical Guide 

Astera

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs.