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Limitations of Power BI

Knowledge Hut

Power BI is a business intelligence tool that enables users to extract data from multiple sources, use Power Query and M-Query for data transformation, data visualization, data modeling and relationships, DAX and calculated columns, share and embed the report, and more.

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From Zero to ETL Hero-A-Z Guide to Become an ETL Developer

ProjectPro

ETL Developer Roles and Responsibilities Below are the roles and responsibilities of an ETL developer: Extracting data from various sources such as databases, flat files, and APIs. Data Warehousing Knowledge of data cubes, dimensional modeling, and data marts is required.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. If data scientists and analysts are pilots, data engineers are aircraft manufacturers.

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Data Engineer vs Data Analyst: Key Differences and Similarities

Knowledge Hut

Also, data engineers are well-versed in distributed systems, cloud computing, and data modeling. Most data analysts are educated in mathematics, statistics, or a similar subject. Also, data analysts have a thorough comprehension of statistical ideas and methods.

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Data Governance: Concept, Models, Framework, Tools, and Implementation Best Practices

AltexSoft

Source: McKinsy&Company For example, a data science team may spend 70 to 80 percent of their time preparing data for machine learning projects , with a prevailing part of this time being spent on data cleansing alone. Learn how data is prepared for machine learning in our dedicated video.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Big Data Interview Questions and Answers Based on Job Role With the help of ProjectPro experts, we have compiled a list of interview questions on big data based on several job roles, including big data tester, big data developer, big data architect, and big data engineer.