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

Product typeBook
Published inOct 2021
PublisherPackt
ISBN-139781801077743
Edition1st Edition
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Author (1)
Manoj Kukreja
Manoj Kukreja
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Manoj Kukreja

Manoj Kukreja is a Principal Architect at Northbay Solutions who specializes in creating complex Data Lakes and Data Analytics Pipelines for large-scale organizations such as banks, insurance companies, universities, and US/Canadian government agencies. Previously, he worked for Pythian, a large managed service provider where he was leading the MySQL and MongoDB DBA group and supporting large-scale data infrastructure for enterprises across the globe. With over 25 years of IT experience, he has delivered Data Lake solutions using all major cloud providers including AWS, Azure, GCP, and Alibaba Cloud. On weekends, he trains groups of aspiring Data Engineers and Data Scientists on Hadoop, Spark, Kafka and Data Analytics on AWS and Azure Cloud.
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Summary

In this chapter, we learned about the data pipeline life cycle. Hopefully, I was able to highlight the fact that the discovery sessions and pipeline design are more important than the development itself. Similarly, it is very important to keep the stakeholders in the loop with everything that is happening. It is important that data engineers conduct regular checkpoints, demonstrations, and code review sessions with the stakeholders.

It is time to put the cloud services that we learned about during Chapter 3, Data Engineering on Microsoft Azure, to work. In the next chapter, we will start to use the Azure services and highlight the various stages of data engineering.

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Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Published in: Oct 2021Publisher: PacktISBN-13: 9781801077743

Author (1)

author image
Manoj Kukreja

Manoj Kukreja is a Principal Architect at Northbay Solutions who specializes in creating complex Data Lakes and Data Analytics Pipelines for large-scale organizations such as banks, insurance companies, universities, and US/Canadian government agencies. Previously, he worked for Pythian, a large managed service provider where he was leading the MySQL and MongoDB DBA group and supporting large-scale data infrastructure for enterprises across the globe. With over 25 years of IT experience, he has delivered Data Lake solutions using all major cloud providers including AWS, Azure, GCP, and Alibaba Cloud. On weekends, he trains groups of aspiring Data Engineers and Data Scientists on Hadoop, Spark, Kafka and Data Analytics on AWS and Azure Cloud.
Read more about Manoj Kukreja