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Big Data for Architects
Big Data for Architects

Big Data for Architects: Learn how to build Big Data pipelines using Hadoop, Spark, NiFi, Kafka and many more

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Profile Icon Chawla
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zł39.99 zł403.99
Video Oct 2021 8hrs 19mins 1st Edition
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zł39.99 zł403.99
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Profile Icon Chawla
Arrow right icon
zł39.99 zł403.99
Video Oct 2021 8hrs 19mins 1st Edition
Video
zł39.99 zł403.99
Subscription
Free Trial
Video
zł39.99 zł403.99
Subscription
Free Trial

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Key benefits

  • Get a holistic picture of the Big Data ecosystem
  • Become an expert in choosing Big Data technology as per the requirements
  • Get ready to build end-to-end Big Data batch and streaming pipelines

Description

Do you want a guide that will help you to pick the right Big Data technology for your project? Or do you want to get a solid understanding of the Big Data architecture and pipelines? This course will help you out. After highlighting the course structure and learning objectives, the course will take you through the steps needed for setting up the environment. Next, you will understand the Big Data logical architecture, study the evolution of Big Data technologies, and explore Big Data pipelines. Moving along, you will become familiar with ingestion frameworks, such as Kafka, Flume, Nifi, and Sqoop. Next, you will learn about key storage frameworks, such as HDFS, HBase, Kudu, and Cassandra. Finally, you will go through the various data formats and uncover key data processing and data analysis frameworks. By the end of this course, you will have a good understanding of the Big Data architecture and technologies and will have developed the skills to build real-world Big Data pipelines. All the resources and support files for this course are available at https://github.com/PacktPublishing/Big-Data-for-Architects

Who is this book for?

If you are a software engineer, who is looking to build Big Data pipelines or planning to appear for certifications such as CCA175 or CCA159, this video course is for you. A basic understanding of Big Data is needed to get started with this course.

What you will learn

  • Create a Google account and a Dataproc cluster
  • Understand the Big Data architecture and pipelines
  • Study factors to consider while comparing ingestion frameworks
  • Gain a solid understanding of storage frameworks
  • Distinguish between text and binary data format
  • Find the key differences between the Spark, Tez, and Flink frameworks
  • Build a scalable Extract, Transform, Load (ETL) pipeline with Kafka Connect

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Oct 29, 2021
Publication date : Jan 21, 2021
Length: 8hrs 19mins
Edition : 1st
Language : English
ISBN-13 : 9781801075596
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What do you get with a video?

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Product Details

Last updated date : Oct 29, 2021
Publication date : Jan 21, 2021
Length: 8hrs 19mins
Edition : 1st
Language : English
ISBN-13 : 9781801075596
Category :
Concepts :
Tools :

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Table of Contents

11 Chapters
Introduction Chevron down icon Chevron up icon
Setting Up the Environment Chevron down icon Chevron up icon
Holistic View of Architectures and Pipelines Chevron down icon Chevron up icon
Key Ingestion/Dataflow Frameworks Chevron down icon Chevron up icon
Key Storage Frameworks Chevron down icon Chevron up icon
Data formats Chevron down icon Chevron up icon
Key Data Processing Frameworks Chevron down icon Chevron up icon
Key Data Analysis Frameworks Chevron down icon Chevron up icon
Delta Lake Chevron down icon Chevron up icon
Additional Material Chevron down icon Chevron up icon
Summary Chevron down icon Chevron up icon
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