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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 how to build the silver layer of the lakehouse, which stores the cleansed version data. Data in the silver layer represents the single source of truth of data and is available to end users in a readily consumable state. During the chapter, we deep-dived into some of the reasons why data curation is required, discussed the curation process, and demonstrated how each case should be handled using code.

In Chapter 8, Data Aggregation Stage – The Gold Layer, we will use data from the silver layer of the Electroniz lakehouse and use it to perform data aggregations. These aggregations will help Electroniz users enhance their decision-making process using a combination of descriptive, diagnostic, and predictive analysis.

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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