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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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Ensuring Enterprise Data Privacy: 2024 & Beyond | Tips From 6 Data Experts

Astera

As we approach Data Privacy Day on January 28th, it’s crucial to recognize the significance of enterprise data privacy in our increasingly digital world. Data privacy is a fundamental aspect that businesses, especially those dealing with vast amounts of data, must ensure to protect sensitive information.

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Delivering Data Security Across Your Organization

Sisense

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Empowering Admins.

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Automated Credit Risk Assessment: How ETL Is Unlocking Better Investments

Astera

Data Quality : Credit institutions should have internally established quality and reliability standards on data (historical, current, and forward-looking information) used as model inputs. Astera’s Data Destinations can be critical in setting up the credit risk assessment pipelines. Transformation features.

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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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Don’t Create a Data Governance Tug of War between Financial Pros and IT Staff

ElegantJ BI

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise.