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Mastering Hadoop 3

Mastering Hadoop 3

By : Wong, Singh, Kumar
5 (1)
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Mastering Hadoop 3

Mastering Hadoop 3

5 (1)
By: Wong, Singh, Kumar

Overview of this book

Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines.
Table of Contents (21 chapters)
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1
Section 1: Introduction to Hadoop 3
6
Section 2: Hadoop Ecosystem
10
Section 3: Hadoop in the Real World
16
Section 4: Securing Hadoop

Airflow for orchestration

Orchestration is the process of automating the workflow/pipeline that is to manage the task of scheduling the tasks, making coordination between tasks, and managing the created workflow. There are multiple tools available for automating the workflow such as Oozie, Azkaban, Jenkins, and so on. 

We have observed that people don't spend much time on workflow orchestration and the impact of scheduling failure or rerun. This causes big problems in later stages and then it will be difficult to manage the kind of problem it creates. In this section, we will learn about Airflow, which is the new generation orchestration tool for Hadoop applications. 

The user interface of Airflow is simple and easy to manage, and gives user's the flexibility to use and manage the workflows. The pipelines in Airflow are represented by DAG (Direct Acyclic Graph...

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