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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
Tools
Apache Spark
Concepts
Data Processing
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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.
Read more about Manoj Kukreja

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Understanding the bronze layer

Inside a lakehouse, the bronze layer stores raw data exactly in the same shape, form, and format as it was collected from the data sources. The following is a list of some of the features of the data within the bronze layer:

  • Unclean and non-standardized: This is deemed unsuitable for consumption by analytical workloads.
  • Support for multiple formats and types: Data in the bronze layer might be structured, semi-structured, or unstructured. It can also be a combination of text and binary types.
  • Immutable: By definition, data in the bronze layer should not be editable. If data changes over time, it is stored as duplicate copies.
  • Stored forever: Data in the bronze layer is never deleted. This is less of a concern due to the low cost of storage. However, to save costs, some portions of data might be archived.

Having data in the native format offers several advantages, as follows:

  • Replayed: Often, analysts and data scientists...
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Published in: Oct 2021Publisher: PacktISBN-13: 9781801077743
© 2021 Packt Publishing Limited All Rights Reserved

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

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