100DaysOfDataEngineering Day 16 GCP for data engineers
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100DaysOfDataEngineering Day 16 GCP for data engineers

Q: Will this course help me to attain the Google Certified Data Engineer? A: Yes. This is the first course in a series of courses created to attain that certification. This course is not a brain dump. The series is designed to give you real world insight into what you’ll be doing as a data engineer working on…

Day 14 of 100DaysOfDataEngineering SQL
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Day 14 of 100DaysOfDataEngineering SQL

Use the bigquery-public-data.stackoverflow.* data set and answer some of the following questions and come up with some of your own Important Note: The StackOverflow dataset is complex, so these queries provide a starting point. You might need to refine them for accuracy and detail. Getting Started Q1: % of Questions with “?” That Have Accepted…

100DaysOfDataEngineering Day 11 data pipeline vs ETLTutorial: Data Pipelines Explained – ETL vs. Data Pipeline
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100DaysOfDataEngineering Day 11 data pipeline vs ETLTutorial: Data Pipelines Explained – ETL vs. Data Pipeline

What is a Data Pipeline? Key Components of a Data Pipeline ETL (Extract, Transform, Load) ETL Sequence in Detail When to Consider Traditional ETL Modern Data Pipelines: Extending Beyond ETL Decision Factors: ETL vs. Data Pipeline

100 Days of Data Engineering Day 12-project primer
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100 Days of Data Engineering Day 12-project primer

Tutorial: Build and Showcase a Data Engineering Project Why a Project Matters Step 1: Project Selection Step 2: Define the Problem & Solution Step 3: The Build Step 4: Coding Best Practices Step 5. Sharing Your Work Step 6: Promote Your Project Additional Tips Let me know if you’d like help brainstorming project ideas or…

100 Days of Data Engineering Day 10C warehousing value chain case study
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100 Days of Data Engineering Day 10C warehousing value chain case study

Chapter: Data Warehousing Case Study – Optimizing the Value Chain Introduction to the Value Chain A value chain encompasses all the steps involved in transforming raw materials into a finished product or service delivered to the end customer. Data-driven analysis of the value chain can reveal optimization opportunities, boost efficiency, and increase profitability. Data warehouses…

100 Days of Data Engineering Day 10B retail case study
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100 Days of Data Engineering Day 10B retail case study

Chapter: Data Warehousing in Retail – A Case Study Introduction Retailers operate in a fast-paced, highly competitive landscape. The ability to extract insights from vast amounts of data is a crucial competitive advantage. Data warehouses, designed specifically for analytics, provide a powerful foundation for retail decision-making. In this chapter, we’ll delve into the principles of…

100 Days of Data Engineering Day 10A warehousing
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100 Days of Data Engineering Day 10A warehousing

Chapter 1: Introduction to Data Warehousing Dimensional Modeling Primer** Different Information Worlds Goals of a Data Warehouse The Publishing Metaphor 4 Components of a Data Warehouse Additional Considerations Dimensional Modeling Vocabulary Bringing Together Facts and Dimensions Dimensional Modeling Myths and Common Pitfalls to Avoid