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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 Delta Lake

As mentioned before, modern data lakes lack some critical features such as ACID transactions, indexing, and versioning, which can negatively affect the reliability, quality, and performance of data.

Important Note

In data warehouse terms, ACID is the short form for atomicity, consistency, isolation, and durability of data. These properties are intended to make database transactions accurate, reliable, and permanent.

The following diagram depicts the properties:

Figure 6.2 – ACID properties in Delta Lake

Delta Lake functions as a layer on top of the distributed computing framework Apache Spark. By design, Apache Spark lacks the following key principles of transaction management:

  • It does not lock previous data during edit transactions, which means data may become unavailable during overwrites for a very brief period.
  • During data overwrites, there is a chance where the old data gets deleted yet the new data...
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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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