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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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Introducing data engineering in Azure

In recent years, Microsoft Azure has added several powerful services to its arsenal that seamlessly collect, store, process, and publish data for both batch and streaming workloads. Gone are the days where choices for storage and compute were severely limited among cloud vendors. As a user, you simply needed to conform with the supplied tools and services: now, your options are more extensive.

Today, the cloud ecosystem looks very different from what it did previously. The growth of cloud services allows users to choose from a variety of storage, compute, and deployment options. As an example, if I want to run a Spark program, I can choose from at least four different options in Microsoft Azure. The real question is, if all four options are running Apache Spark, then why are these options even required?

Important Note

The array of options available on the cloud are not limited to compute only: the same variety exists for data collection...

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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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