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How AI is Changing the Data Integration ProcessĀ 

Astera

The Explosion in Data Volume and the Need for AI The global AI market today stands at $100 billion and is expected to grow 20-fold up to nearly two trillion dollars by 2030. This massive growth has a spillover effect on various areas, including data management.

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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

It ensures that data from different departments, like patient records, lab results, and billing, can be securely collected and accessed when needed. Selecting the right data architecture depends on the specific needs of a business. Lesser emphasis on historical tracking, focusing more on domain-specific data products.

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Snowflake ETL Tools: Top 7 Options to Consider in 2024

Astera

Snowflake has restructured the data warehousing scenario with its cloud-based architecture. Businesses can easily scale their data storage and processing capabilities with this innovative approach. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

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How AI Is Transforming the Future of Business Intelligence and AnalyticsĀ 

Astera

As AI technology continues to evolve and mature, its integration into business intelligence and analytics unlocks new opportunities for growth and innovation. With businesses increasingly utilizing business intelligence, leveraging synthetic data can help overcome data access challenges and privacy concerns.

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What is Data Preprocessing? Definition, Importance, and Steps

Astera

Data transformation can also be used to create new attributes within the dataset. Example: A healthcare data analyst leverages mathematical expressions to create new features like Body Mass Index (BMI) through existing features like height and weight. It enables innovative features from existing data, refining model performance.

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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

With a combination of text, symbols, and diagrams, data modeling offers visualization of how data is captured, stored, and utilized within a business. It serves as a strategic exercise in understanding and clarifying the business’s data requirements, providing a blueprint for managing data from collection to application.

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What Is Embedded Analytics?

Insight Software

By Industry Businesses from many industries use embedded analytics to make sense of their data. In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future.