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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Smart Data Modeling Another trend in data warehousing is the use of AI-powered tools for smart data modeling.

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Introduction To The Basic Business Intelligence Concepts

Data Pine

With our introduction to business intelligence, we’re going to dispel the myths surrounding BI, explore the core business intelligence concepts, cover the BI basics, and drill down into a mix of real-life business intelligence examples and use cases. Introduction To Business Intelligence Concepts. The data warehouse.

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16 Best Business Intelligence Books To Get You Off the Ground With BI

Data Pine

Not only will you learn how to handle big data and use it to enhance your everyday operations, but you’ll also gain access to a host of case studies that will put all of the tips, methods, and ideas into real-world perspective. click for book source**. It’s also one of the best books for building a BI system.

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Should You Have Separate Document, Time-Series, NoSQL and SQL Databases or Can a Single Database Support All of These Data Types and Requirements?

Actian

At one time, data was largely transactional and Online Transactional Processing (OLTP) and Enterprise resource planning (ERP) systems handled it inline, and it was heavily structured. They are generating the entire range of structured and unstructured data, but with two-thirds of it in a time-series format.

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Best Tax KPIs and Metric Examples for 2021 Reporting

Insight Software

If the technological enhancements entail the procurement of better data, then it can help support the organization’s tax positions. Good quality data can help the organization avoid audit adjustments. Both the internal technology used by the organization, and the external technology available, needs to be considered.