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Databricks Certified Associate Developer for Apache Spark Using Python: The ultimate guide to getting certified in Apache Spark using practical examples with Python
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Databricks Certified Associate Developer for Apache Spark Using Python: The ultimate guide to getting certified in Apache Spark using practical exampl
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Databricks Certified Associate Developer for Apache Spark Using Python: The ultimate guide to getting certified in Apache Spark using practical exampl
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Databricks Certified Associate Developer for Apache Spark Using Python: The ultimate guide to getting certified in Apache Spark using practical exampl (Paperback or Softback)
Published by Packt Publishing 6/14/2024, 2024
ISBN 10: 1804619787 ISBN 13: 9781804619780
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Add to basketPaperback or Softback. Condition: New. Databricks Certified Associate Developer for Apache Spark Using Python: The ultimate guide to getting certified in Apache Spark using practical exampl 1.05. Book.
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Practical Apache Spark: Using the Scala API
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Practical Apache Spark: Using The Scala Api
Published by Apress, Incorporated, 2018
ISBN 10: 1484236513 ISBN 13: 9781484236512
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Databricks Certified Associate Developer for Apache Spark 3.0 - Python: The ultimate guide to getting certified in Apache Spark using practical examples with Python
Published by Packt Publishing Limited, 2024
ISBN 10: 1804619787 ISBN 13: 9781804619780
Language: English
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Practical Realtime Data Processing and Analytics Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
Published by Packt Publishing Limited, 2017
ISBN 10: 1787281205 ISBN 13: 9781787281202
Language: English
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Practical Realtime Data Processing and Analytics Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
Published by Packt Publishing Limited, 2017
ISBN 10: 1787281205 ISBN 13: 9781787281202
Language: English
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Practical Apache Spark: Using the Scala API
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn the concepts and exercises needed to confidently prepare for the Databricks Associate Developer for Apache Spark 3.0 exam and validate your Spark skills with an industry-recognized credentialKey Features: Understand the fundamentals of Apache Spark to design robust and fast Spark applications Explore various data manipulation components for each phase of your data engineering project Prepare for the certification exam with sample questions and mock exams Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Spark has become a de facto standard for big data processing. Migrating data processing to Spark saves resources, streamlines your business focus, and modernizes workloads, creating new business opportunities through Spark's advanced capabilities. Written by a senior solutions architect at Databricks, with experience in leading data science and data engineering teams in Fortune 500s as well as startups, this book is your exhaustive guide to achieving the Databricks Certified Associate Developer for Apache Spark certification on your first attempt.You'll explore the core components of Apache Spark, its architecture, and its optimization, while familiarizing yourself with the Spark DataFrame API and its components needed for data manipulation. You'll also find out what Spark streaming is and why it's important for modern data stacks, before learning about machine learning in Spark and its different use cases. What's more, you'll discover sample questions at the end of each section along with two mock exams to help you prepare for the certification exam.By the end of this book, you'll know what to expect in the exam and gain enough understanding of Spark and its tools to pass the exam. You'll also be able to apply this knowledge in a real-world setting and take your skillset to the next level.What You Will Learn: Create and manipulate SQL queries in Apache Spark Build complex Spark functions using Spark's user-defined functions (UDFs) Architect big data apps with Spark fundamentals for optimal design Apply techniques to manipulate and optimize big data applications Develop real-time or near-real-time applications using Spark Streaming Work with Apache Spark for machine learning applicationsWho this book is for:This book is for data professionals such as data engineers, data analysts, BI developers, and data scientists looking for a comprehensive resource to achieve Databricks Certified Associate Developer certification, as well as for individuals who want to venture into the world of big data and data engineering. Although working knowledge of Python is required, no prior knowledge of Spark is necessary. Additionally, experience with Pyspark will be beneficial.Table of Contents Overview of Certification Guide and Exam Understanding Apache Spark and Its Applications Spark Architecture & Transformations Spark Datarames and its Operations Advanced Operations in Spark SQL Queries in Spark Structured Streaming in Spark Machine Learning with Spark ML Mock Test.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You'll follow a learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure.On completion, you'll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You'll also become familiar with machine learning algorithms with real-time usage.What You Will LearnDiscover the functional programming features of ScalaUnderstand the completearchitecture of Spark and itscomponentsIntegrate Apache Spark with Hive and KafkaUse Spark SQL, DataFrames, and Datasets to process data using traditional SQL queriesWork with different machine learning concepts and libraries using Spark's MLlib packagesWho This Book Is ForDevelopers and professionals who deal with batch and stream data processing.
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Practical Apache Spark: Using The Scala Api
Published by Apress, Incorporated, 2018
ISBN 10: 1484236513 ISBN 13: 9781484236512
Language: English
Condition: New. Print on Demand.
