You're reading from Data Engineering with Scala and Spark

Product typeBook

Published inJan 2024

PublisherPackt

ISBN-139781804612583

Edition1st Edition

Concepts

Data Engineering

Authors (3):

Eric Tome

Rupam Bhattacharjee

David Radford

View More author details

Leveraging cloud object storage

Cloud object storage has become the cheapest way to store large volumes of data. These storage services have become the foundation for data lakes and lakehouses, which are used for data engineering, data science, and data analysis workloads.

Each cloud service offers its own storage, and you can pick whichever works best for you, but on Azure, the storage service dedicated to big data analytics is called Azure Data Lake Storage Gen2 (ADLS Gen2).

You can follow the directions in the following link to create an ADLS storage account to use throughout this book: https://learn.microsoft.com/en-us/azure/storage/blobs/create-data-lake-storage-account.

Using Databricks

Databricks is a platform that simplifies the experience of data engineers, data scientists, and data analysts by combining the capabilities of those personas required into a managed service. As a managed service, you will not have to install components of your environment separately...

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Data Engineering with Scala and Spark

Published in: Jan 2024Publisher: PacktISBN-13: 9781804612583

Authors (3)

Eric Tome

Eric Tome has over 25 years of experience working with data. He has contributed to and led teams that ingested, cleansed, standardized, and prepared data used by business intelligence, data science, and operations teams. He has a background in mathematics and currently works as a senior solutions architect at Databricks, helping customers solve their data and AI challenges.
Read more about Eric Tome

Rupam Bhattacharjee

Rupam Bhattacharjee works as a lead data engineer at IBM. He has architected and developed data pipelines, processing massive structured and unstructured data using Spark and Scala for on-premises Hadoop and K8s clusters on the public cloud. He has a degree in electrical engineering.
Read more about Rupam Bhattacharjee

David Radford

David Radford has worked in big data for over 10 years, with a focus on cloud technologies. He led consulting teams for several years, completing a migration from legacy systems to modern data stacks. He holds a master's degree in computer science and works as a senior solutions architect at Databricks.
Read more about David Radford

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Leveraging cloud object storage

Using Databricks

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Authors (3)

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