0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Big Data Architect???s Handbook

You're reading from Big Data Architect???s Handbook A guide to building proficiency in tools and systems used by leading big data experts

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788835824

Length 486 pages

Edition 1st Edition

Languages

Java

Tools

Hadoop

Concepts

Big Data

Author (1):

Syed Muhammad Fahad Akhtar

View More author details

Table of Contents (21) Chapters

Preface

1. Why Big Data? FREE CHAPTER

2. Big Data Environment Setup

3. Hadoop Ecosystem

4. NoSQL Database

5. Off-the-Shelf Commercial Tools

6. Containerization

7. Network Infrastructure

8. Cloud Infrastructure

9. Security and Monitoring

10. Frontend Architecture

11. Backend Architecture

12. Machine Learning

13. Artificial Intelligence

14. Elasticsearch

15. Structured Data

16. Unstructured Data

17. Data Visualization

18. Financial Trading System

19. Retail Recommendation System

20. Other Books You May Enjoy

Leave a review - let other readers know what you think

Summary

In this chapter, we looked at various aspects of Apache Hadoop. We discussed the main components of Hadoop, such as the Hadoop Distributed File System, the MapReduce framework, and YARN. In between, we did some practical work by executing basic command related to HDFS. We also developed a program to calculate a bill summary using the MapReduce framework with easy-to-understand code.

Then, we discussed other projects under the umbrella of the Apache Foundation. These projects included Apache Zookeeper, Apache Kafka, Apache Flume, Apache Cassandra, Apache HBase, and Apache Spark. These projects are related to Hadoop Ecosystem. Some of them are related to bringing data into Hadoop, while others are related to the processing of data. The important thing we learned here is that though projects may appear similar, their uses and architecture differs...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at €18.99/month. Cancel anytime

Authors (1)

Akhtar

Akhtar

Syed Muhammad Fahad Akhtar has 12+ years of industry experience in analysis, designing, developing, integrating, and managing large applications in different industries. He has vast exposure of working in UAE, Pakistan, and Malaysia and is currently working in ASIT Solutions as a solution architect. He received his masters from Torrens University, Australia, and bachelor of science in computer engineering from National University of Computer and Emerging Sciences (FAST), Pakistan.

See other products by Akhtar

Other recommended products

Related to this chapter

Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics such as MapReduce, YARN and HDFS.

Oct 2018 7h 20m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

May 2017 19h 52m

HBase High Performance Cookbook

HBase High Performance Cookbook

Jan 2017 11h 40m

HBase High Performance Cookbook

HBase High Performance Cookbook

Jan 2017 11h 40m

Mastering Hadoop 3

Mastering Hadoop 3

This is a comprehensive guide to understand advanced concepts of Hadoop ecosystem. You will learn how Hadoop works internally, and build solutions to some of real world use cases. Finally, you will have a solid understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable Big Data pipeline

Feb 2019 18h 8m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Data Governance Handbook

Data Governance Handbook

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

May 2024 13h 8m

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 14h 36m

Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.

May 2024 18h 16m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

Python Data Cleaning Cookbook

Python Data Cleaning Cookbook

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

May 2024 16h 12m

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

This AI-900 study guide will help you prepare and practice for the certification exam. You'll delve into AI workloads, ML principles, computer vision, NLP, knowledge mining, and generative AI using Azure cloud services.

May 2024 9h 36m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.