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Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud
Discover the value of big data analytics that leverage the power of the cloud
Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud
Item #: 38392024

Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud

Item #: 38392024

HUF 19893

HUF 25736

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What Stands Out

Cloud Integration
Seamlessly integrates Apache Spark with Azure Databricks for powerful analytics, enabling users to leverage cloud capabilities without extensive setup or configuration.
User-Friendly Guide
Designed for beginners, it offers a step-by-step approach, simplifying complex concepts and providing practical examples to quickly advance users' understanding of large cluster analytics.
Scalable Solutions
Equips readers with techniques to effectively manage and scale large datasets, ensuring performance optimization and resource efficiency in cloud environments.

Product Details

Unlock the power of large cluster analytics in the cloud with Beginning Apache Spark Using Azure Databricks. Buy now from Ubuy Hungary and revolutionize your data analysis workflows.
  • 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 aboutconfiguring 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 some advanced topics such as analytics in the cloud, data lakes, data ingestion, architecture, machine learning, and tools, including Apache Spark, Apache Hadoop, Apache Hive, Python, and SQL. Valuable exercises help reinforce what you have learned.What You Will LearnDiscover the value of big data analytics that leverage the power of the cloudGet started with Databricks using SQL and Python in either Microsoft Azure or AWSUnderstand the underlying technology, and how the cloud and Apache Spark fit into the bigger picture See how these tools are used in the real world Run basic analytics, including machine learning, on billions of rows at a fraction of a cost or freeWho This Book Is ForData engineers, data scientists, and cloud architects who want or need to run advanced analytics in the cloud. It is assumed that the reader has data experience, but perhaps minimal exposure to Apache Spark and Azure Databricks. The book is also recommended for people who want to get started in the analytics field, as it provides a strong foundation.
Publisher Apress
Publication date June 12, 2020
Edition First Edition
Language English
Print length 291 pages
ISBN-10 1484257804
ISBN-13 978-1484257807
Item Weight 1.25 pounds (570 grams)
Dimensions 7.01 x 0.66 x 10 inches (17.8 x 1.7 x 25.4 cm)

Who Should Buy?

Suitable For
  • Data Engineers

    Perfect for data engineers looking to implement large-scale data processing using Apache Spark in Azure Databricks.

  • Cloud Analysts

    Ideal for analysts wanting to dive deep into cloud-based analytics using big data tools and technologies.

  • Students & Learners

    Great for students wanting to learn about Apache Spark in a practical, hands-on environment using Databricks.

Not Suitable For
  • Absolute Beginners

    Not suitable for complete novices unfamiliar with programming or cloud computing concepts, as it requires foundational knowledge.

Product Description

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Software Development Editorial Review

In spite of being a new release, this book has left a good impression on customers. The author has managed to present professional writing with a touch of humor, making the read engaging without sacrificing important details. One reviewer praises the book for introducing key concepts and use cases in a flexible manner, while another reviewer found the book inadequate in depth and organization. However, a third reviewer notes that the author does an excellent job simplifying complex subject matter, making this book a great start for anyone interested in the data engineering or analytics field. Overall, this book seems to be a worthwhile and beneficial investment for anyone interested in big data and Databricks.

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Pros

  • Engaging and professional writing style with a touch of humor
  • Introduces key concepts and use cases flexibly
  • Simplifies complex subject matter for beginners

Cons

  • Inadequate depth and organisation

Product Price History

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