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Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud
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BOB 371
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- 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?
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Data Engineers
Perfect for data engineers looking to implement large-scale data processing using Apache Spark in Azure Databricks.
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Cloud Analysts
Ideal for analysts wanting to dive deep into cloud-based analytics using big data tools and technologies.
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Students & Learners
Great for students wanting to learn about Apache Spark in a practical, hands-on environment using Databricks.
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Absolute Beginners
Not suitable for complete novices unfamiliar with programming or cloud computing concepts, as it requires foundational knowledge.
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Software Development Editorial Review
Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud is a comprehensive resource published by Apress on June 12, 2020. This first edition, written in English, spans 291 pages and is designed to guide readers through the capabilities of big data analytics using Azure Databricks. The book emphasizes the power of large cluster analytics in the cloud, making it highly beneficial for data professionals looking to enhance their skills in Apache Spark. Readers have praised its clear explanations and practical examples, making complex concepts easily understandable, which is ideal for both beginners and experienced practitioners in data science and analytics.
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ventajas
- Comprehensive guide to Apache Spark in Azure
- Clear explanations enhance understanding
- Practical examples for real-world applications
- Suitable for both beginners and experts
- Published by a reputable publisher Apress
Contras
- Some readers may find it too technical in sections
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