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Power BI Developer Roles and Responsibilities [2023 Updated]

Knowledge Hut

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Identify and address bottlenecks and performance issues.

BI 52
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DataOps Framework: 4 Key Components and How to Implement Them

Databand.ai

The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.

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Power BI Skills in Demand: How to Stand Out in the Job Market

Knowledge Hut

In today's business environment, data is an invaluable asset. To derive key insights from data, business intelligence systems, and tools assist data scientists and business analysts. Power BI has built-in advanced capabilities for integrating data from various sources and formats.

BI 52
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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

After residing in the raw zone, data undergoes various transformations. The data cleansing process involves removing or correcting inaccurate records, discrepancies, or inconsistencies in the data. Data enrichment adds value to the original data set by incorporating additional information or context.