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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

In future special services, specialists and mechanisms will ensure that data comes from valid sources, gets used for intended purposes, accessed by authorized employees, and deleted when not needed anymore. The growing number of business intelligence innovations means that the amount of personnel relying on data will grow.

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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, What is Data Vault 2.0? Data Vault 2.0

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

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Finance Data Warehouse for Reporting and Analytics

Astera

Data Analysts and Technologists Data analysts and technology professionals within financial institutions benefit from data warehousing by automating repetitive tasks like data extraction and transformation. This automation allows them to focus on higher-value activities such as data analysis, modeling, and innovation.

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Modernize Your ETL Processes, Discover Better Insights

Sisense

ETL tools can also typically offer more robust options for appending new data incrementally, or only updating new and modified rows, which can allow for more frequent loads, and closer to real-time data for the business. Many cloud data warehouses offer compute scaling that allows for dynamic scaling when needs spike.

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Cloud Data Integration and Why You Might Need It

Cprime

Unifying information components to normalize the data and provide business intelligence tools to access marketing data and enhance productivity and efficiency. Improving connectivity and visibility to adapt to changes and innovations in the business world. Cloud Data Integration Types.