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Power of ETL: Transforming Business Decision Making with Data Insights

Smart Data Collective

By understanding the power of ETL, organisations can harness the potential of their data and gain valuable insights that drive informed choices. ETL is a three-step process that involves extracting data from various sources, transforming it into a consistent format, and loading it into a target database or data warehouse.

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These Are the Top Technical Skills that Business Analysts Really Need to Know

Bridging the Gap

Technical Skill 3: Data Models for Data Requirements The third set of models are data models , such as entity relationship diagrams , system context diagrams, data flow diagrams, data dictionaries. There are a bunch of different models included in the data modeling area.

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What is Tableau Einstein?

Tableau

By pushing contextual, AI-powered insights directly to people in the flow of work, we’re making it easier for everyone in the organization to act on valuable information without needing to search for it. This not only creates doubt, but also makes it challenging to turn data into real business value. Want to learn more?

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

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

Astera

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

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5 Types of Requirements Documents Business Analysts Create

Bridging the Gap

Imagine you are ready to dive deep into a new project, but amidst the sea of information and tasks, you find yourself at a crossroads: What documents should you create to capture those crucial requirements? Which documents should you actually create to capture these crucial requirements?

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Handling Large Volumes of Data in Power BI

BizAcuity

Among other differences between the two options, data storage is a main factor – depending on the data requirement, you can choose which option of the tool to use. With a Power BI Pro license, you can upload up to 10 GB of data to the Power BI Cloud. The more the granularity, the more rows of data you will have.