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Can I read Beginning Apache Spark Using Azure Databricks : Unleashing Large Cluster Analytics in the Cloud on EtoBox?
Beginning Apache Spark Using Azure Databricks : Unleashing Large Cluster Analytics in the Cloud by Robert Ilijason is a nonfiction available to read on EtoBox.
What is Beginning Apache Spark Using Azure Databricks : Unleashing Large Cluster Analytics in the Cloud about?
Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running analytics on large clusters in Azure and AWS, using Apache Spark with Databricks on top. Discover how to squeeze the most value out of your data at a mere fraction of what classical analytics solutions cost, while at the same time getting the results you need, incrementally faster. This book explains how the confluence of these pivotal technologies gives you enormous power, and cheaply, when it comes to huge datasets. You will begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for the machinery in advance. From there you will learn how Apache Spark, an open source framework, can enable all those CPUs for data analytics use. Finally, you will see how services such as Databricks provide the power of Apache Spark, without you having to know anything about configuring hardware or software. By removing the need for expensive experts and hardware, your resources can instead be allocated to actually finding business value in the data. This book guides you through so
Who reads Beginning Apache Spark Using Azure Databricks : Unleashing Large Cluster Analytics in the Cloud?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Robert Ilijason
- Publisher
- Apress : Imprint: Apress
- Published
- 2020
- Language
- EN
- ISBN
- 9781484257807
- Category
- nonfiction
- Subjects
- Management, Mathematics, Computer Science
- Rating
- 1 / 5 (1 ratings)
- Updated
- 2026-03-24
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