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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

You're reading from  Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077743
Pages 480 pages
Edition 1st Edition
Languages
Author (1):
Manoj Kukreja Manoj Kukreja
Profile icon Manoj Kukreja

Table of Contents (17) Chapters

Preface Section 1: Modern Data Engineering and Tools
Chapter 1: The Story of Data Engineering and Analytics Chapter 2: Discovering Storage and Compute Data Lakes Chapter 3: Data Engineering on Microsoft Azure Section 2: Data Pipelines and Stages of Data Engineering
Chapter 4: Understanding Data Pipelines Chapter 5: Data Collection Stage – The Bronze Layer Chapter 6: Understanding Delta Lake Chapter 7: Data Curation Stage – The Silver Layer Chapter 8: Data Aggregation Stage – The Gold Layer Section 3: Data Engineering Challenges and Effective Deployment Strategies
Chapter 9: Deploying and Monitoring Pipelines in Production Chapter 10: Solving Data Engineering Challenges Chapter 11: Infrastructure Provisioning Chapter 12: Continuous Integration and Deployment (CI/CD) of Data Pipelines Other Books You May Enjoy

The process of aggregating data

Although the objective of data aggregation is largely straightforward, you should follow a definitive process. The data aggregation process is a co-shared responsibility between the customer and the data engineer. Each entity needs to contribute toward the objective through a combination of business and technical knowledge:

Figure 8.2 – Data aggregation process

Figure 8.2 – Data aggregation process

This process can be explained as follows:

  • Define KPIs: The process of data aggregation starts by defining the key performance indicators (KPIs). Data engineers are not the best resources for making such business-oriented decisions. Therefore, it is important to seek customer help on this one since they are closer to the business and can make these decisions more accurately.

    Important

    A quantifiable metric that's used to measure a company's success or failure is called a KPI. KPIs are often used to evaluate whether the company has met its objectives...

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