Simplify Big Data Analytics with Amazon EMR

by Sakti Mishra

Author	: Sakti Mishra
Publisher	: Packt Publishing Ltd
Total Pages	: 430
Release	: 2022-03-25
Genre	: Computers
ISBN	: 180107772X

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Design scalable big data solutions using Hadoop, Spark, and AWS cloud native services Key FeaturesBuild data pipelines that require distributed processing capabilities on a large volume of dataDiscover the security features of EMR such as data protection and granular permission managementExplore best practices and optimization techniques for building data analytics solutions in Amazon EMRBook Description Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS. This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR. By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS. What you will learnExplore Amazon EMR features, architecture, Hadoop interfaces, and EMR StudioConfigure, deploy, and orchestrate Hadoop or Spark jobs in productionImplement the security, data governance, and monitoring capabilities of EMRBuild applications for batch and real-time streaming data analytics solutionsPerform interactive development with a persistent EMR cluster and NotebookOrchestrate an EMR Spark job using AWS Step Functions and Apache AirflowWho this book is for This book is for data engineers, data analysts, data scientists, and solution architects who are interested in building data analytics solutions with the Hadoop ecosystem services and Amazon EMR. Prior experience in either Python programming, Scala, or the Java programming language and a basic understanding of Hadoop and AWS will help you make the most out of this book.

Simplify Big Data Analytics with Amazon EMR

by Sakti Mishra

Author	: Sakti Mishra
Publisher	: Packt Publishing Ltd
Total Pages	: 430
Release	: 2022-03-25
Genre	: Computers
ISBN	: 180107772X

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Design scalable big data solutions using Hadoop, Spark, and AWS cloud native services Key FeaturesBuild data pipelines that require distributed processing capabilities on a large volume of dataDiscover the security features of EMR such as data protection and granular permission managementExplore best practices and optimization techniques for building data analytics solutions in Amazon EMRBook Description Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS. This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR. By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS. What you will learnExplore Amazon EMR features, architecture, Hadoop interfaces, and EMR StudioConfigure, deploy, and orchestrate Hadoop or Spark jobs in productionImplement the security, data governance, and monitoring capabilities of EMRBuild applications for batch and real-time streaming data analytics solutionsPerform interactive development with a persistent EMR cluster and NotebookOrchestrate an EMR Spark job using AWS Step Functions and Apache AirflowWho this book is for This book is for data engineers, data analysts, data scientists, and solution architects who are interested in building data analytics solutions with the Hadoop ecosystem services and Amazon EMR. Prior experience in either Python programming, Scala, or the Java programming language and a basic understanding of Hadoop and AWS will help you make the most out of this book.

Serverless ETL and Analytics with AWS Glue

by Vishal Pathak

Author	: Vishal Pathak
Publisher	: Packt Publishing Ltd
Total Pages	: 435
Release	: 2022-08-30
Genre	: Computers
ISBN	: 1800562551

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Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Book DescriptionOrganizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes. Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You’ll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you’ll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options. By the end of this AWS book, you’ll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for ETL developers, data engineers, and data analysts

Mastering Amazon DynamoDB database

by Cybellium Ltd

Author	: Cybellium Ltd
Publisher	: Cybellium Ltd
Total Pages	: 163
Release	:
Genre	: Computers
ISBN	:

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Unlock the Potential of Scalable and Serverless Data with "Mastering Amazon DynamoDB Database" In today's data-centric world, the ability to efficiently manage and scale databases is a cornerstone of success. "Mastering Amazon DynamoDB Database" is your comprehensive guide to mastering one of the most robust and versatile NoSQL databases available – Amazon DynamoDB. Whether you're a seasoned data professional or a newcomer to NoSQL technology, this book equips you with the knowledge and skills needed to harness the full capabilities of Amazon DynamoDB. About the Book: "Mastering Amazon DynamoDB Database" takes you on a transformative journey through the intricacies of this dynamic NoSQL database. From fundamental concepts to advanced techniques, you'll explore DynamoDB's architecture, data model, and powerful features. Each chapter is meticulously crafted to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · DynamoDB Fundamentals: Lay a solid foundation by delving into DynamoDB's architecture, data model, and the principles that make it a leader in distributed databases. · Data Modeling: Learn how to design efficient schema structures that optimize storage, access patterns, and query performance in DynamoDB. · Serverless Scalability: Explore DynamoDB's seamless scalability, taking advantage of its serverless nature to accommodate growing workloads without manual intervention. · Advanced Querying: Master DynamoDB's powerful query capabilities, including filtering, indexing, and advanced querying techniques that enable complex data retrieval. · Best Practices: Dive into best practices for data modeling, indexing strategies, partition key selection, and managing read and write capacity to ensure optimal performance. · Real-World Applications: Gain insights from real-world use cases across industries, from e-commerce and gaming to IoT and beyond, showcasing DynamoDB's adaptability. · Integration and Ecosystem: Explore DynamoDB's integration with other AWS services, APIs, and developer tools, empowering you to build end-to-end solutions. · Advanced Topics: Uncover advanced concepts such as transactions, backups, global tables, security mechanisms, and best practices for disaster recovery. Who This Book Is For: "Mastering Amazon DynamoDB Database" caters to developers, data engineers, solution architects, and anyone interested in leveraging the power of NoSQL databases. Whether you're seeking to enhance your skills or dive into the world of serverless databases, this book provides the insights and tools to navigate DynamoDB's intricacies. Why You Should Read This Book: In an era where scalability and performance are paramount, Amazon DynamoDB shines as a cornerstone of data management. "Mastering Amazon DynamoDB Database" empowers you to fully harness its capabilities, enabling you to build highly available applications, deliver seamless user experiences, and scale effortlessly. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

AWS certification guide - AWS Certified DevOps Engineer - Professional

by Cybellium Ltd

Author	: Cybellium Ltd
Publisher	: Cybellium Ltd
Total Pages	: 180
Release	:
Genre	: Computers
ISBN	:

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AWS Certification Guide - AWS Certified DevOps Engineer – Professional Master the Art of AWS DevOps at a Professional Level Embark on a comprehensive journey to mastering DevOps practices in the AWS ecosystem with this definitive guide for the AWS Certified DevOps Engineer – Professional certification. Tailored for DevOps professionals aiming to validate their expertise, this book is an invaluable resource for mastering the blend of operations and development on AWS. Within These Pages, You'll Discover: Advanced DevOps Techniques: Deep dive into the advanced practices of AWS DevOps, from infrastructure as code to automated scaling and management. Comprehensive Coverage of AWS Services: Explore the full range of AWS services relevant to DevOps, including their integration and optimization for efficient workflows. Practical, Real-World Scenarios: Engage with detailed case studies and practical examples that demonstrate effective DevOps strategies in action on AWS. Focused Exam Preparation: Get a thorough understanding of the exam structure, with in-depth chapters aligned with each domain of the certification exam, complemented by targeted practice questions. Written by a DevOps Veteran Authored by an experienced AWS DevOps Engineer, this guide marries practical field expertise with a deep understanding of AWS services, offering readers insider insights and proven strategies. Your Comprehensive Guide to DevOps Certification Whether you’re an experienced DevOps professional or looking to take your skills to the next level, this book is your comprehensive companion, guiding you through the complexities of AWS DevOps and preparing you for the Professional certification exam. Elevate Your DevOps Skills Go beyond the basics and gain a profound, practical understanding of DevOps practices in the AWS environment. This guide is more than a certification prep book; it's a blueprint for excelling in AWS DevOps at a professional level. Begin Your Advanced DevOps Journey Embark on your path to becoming a certified AWS DevOps Engineer – Professional. With this guide, you're not just preparing for an exam; you're advancing your career in the fast-evolving field of AWS DevOps. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

AWS Certified Database - Specialty (DBS-C01) Certification Guide

by Kate Gawron

Author	: Kate Gawron
Publisher	: Packt Publishing Ltd
Total Pages	: 472
Release	: 2022-05-13
Genre	: Computers
ISBN	: 1803240059

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Pass the AWS Certified Database- Specialty Certification exam with the help of practice tests Key Features • Understand different AWS database technologies and when to use them • Master the management and administration of AWS databases using both the console and command line • Complete, up-to-date coverage of DBS-C01 exam objectives to pass it on the first attempt Book Description The AWS Certified Database – Specialty certification is one of the most challenging AWS certifications. It validates your comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting. With this guide, you'll understand how to use various AWS databases, such as Aurora Serverless and Global Database, and even services such as Redshift and Neptune. You'll start with an introduction to the AWS databases, and then delve into workload-specific database design. As you advance through the chapters, you'll learn about migrating and deploying the databases, along with database security techniques such as encryption, auditing, and access controls. This AWS book will also cover monitoring, troubleshooting, and disaster recovery techniques, before testing all the knowledge you've gained throughout the book with the help of mock tests. By the end of this book, you'll have covered everything you need to pass the DBS-C01 AWS certification exam and have a handy, on-the-job desk reference guide. What you will learn • Become familiar with the AWS Certified Database – Specialty exam format • Explore AWS database services and key terminology • Work with the AWS console and command line used for managing the databases • Test and refine performance metrics to make key decisions and reduce cost • Understand how to handle security risks and make decisions about database infrastructure and deployment • Enhance your understanding of the topics you've learned using real-world hands-on examples • Identify and resolve common RDS, Aurora, and DynamoDB issues Who this book is for This AWS certification book is for database administrators and IT professionals who perform complex big data analysis as well as students looking to get AWS Database Specialty certified. A solid understanding of cloud computing, specifically AWS services, is a must. Knowledge of basic administration tasks such as logging in and running SQL queries will be helpful.

AWS certification guide - AWS Certified Data Analytics - Specialty

by Cybellium Ltd

Author	: Cybellium Ltd
Publisher	: Cybellium Ltd
Total Pages	: 219
Release	:
Genre	: Computers
ISBN	:

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AWS Certification Guide - AWS Certified Data Analytics – Specialty Unlock the Power of AWS Data Analytics Dive into the evolving world of AWS data analytics with this comprehensive guide, tailored for those pursuing the AWS Certified Data Analytics – Specialty certification. This book is an essential resource for professionals seeking to validate their expertise in extracting meaningful insights from data using AWS analytics services. Inside, You'll Discover: Comprehensive Analytics Concepts: Thorough exploration of AWS data analytics services and tools, including Kinesis, Redshift, Glue, and more. Real-World Scenarios: Practical examples and case studies that demonstrate how to effectively use AWS services for data analysis, processing, and visualization. Targeted Exam Preparation: Insights into the certification exam format, with chapters aligned to the exam domains, complete with detailed explanations and practice questions. Latest Trends and Best Practices: Up-to-date information on the newest AWS features and data analytics best practices, ensuring your skills remain at the cutting edge. Authored by a Data Analytics Expert Written by a professional with extensive experience in AWS data analytics, this guide melds practical application with theoretical knowledge, providing a rich learning experience. Your Comprehensive Analytics Resource Whether you are deepening your existing skills or embarking on a new specialty in data analytics, this book is your definitive companion, offering a deep dive into AWS analytics services and preparing you for the Specialty certification exam. Advance Your Data Analytics Career Go beyond the fundamentals and master the complexities of AWS data analytics. This guide is not just about passing the exam; it's about developing expertise that can be applied in real-world scenarios, propelling your career forward in this exciting domain. Start Your Specialized Analytics Journey Today Embark on your path to becoming an AWS Certified Data Analytics specialist. This guide is your first step towards mastering AWS analytics and unlocking new career opportunities in the field of data. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

AWS certification guide - AWS Certified Solutions Architect - Professional

by Cybellium Ltd

Author	: Cybellium Ltd
Publisher	: Cybellium Ltd
Total Pages	: 194
Release	:
Genre	: Computers
ISBN	:

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AWS Certification Guide - AWS Certified Solutions Architect – Professional Elevate Your Architectural Expertise to the Professional Level Embark on a transformative journey to the pinnacle of AWS architecture with this in-depth guide, designed specifically for those aspiring to become AWS Certified Solutions Architects at the Professional level. This comprehensive resource is crafted to deepen your understanding and mastery of complex AWS solutions. Inside This Guide: Advanced Architectural Concepts: Dive into the complexities of designing scalable, reliable, and efficient systems on AWS, covering advanced topics that are crucial for a professional architect. Strategic Approaches to Design: Learn how to make architectural decisions that are cost-effective, secure, and robust, using AWS best practices and design patterns. Holistic Exam Preparation: Benefit from a detailed breakdown of the exam format, including in-depth coverage of each domain, with focused content aligned with the certification objectives. Real-World Scenarios and Solutions: Engage with comprehensive case studies and scenarios that provide practical insights into architecting on AWS at a professional level. Authored by an AWS Expert This guide is penned by a seasoned AWS Solutions Architect, who brings years of field experience into each chapter, offering valuable insights and advanced strategies for professional-level architecture. Your Gateway to Professional Certification Whether you are an experienced architect looking to certify your skills or an aspiring professional seeking to elevate your expertise, this book is a vital tool in your preparation for the AWS Certified Solutions Architect – Professional exam. Advance Your Architectural Career Step beyond the basics and explore the depths of AWS architectural principles and practices. This guide is not just a certification aid; it's a comprehensive resource for building a profound and practical understanding of AWS at a professional level. Embark on Your Advanced Architectural Journey Take your AWS architectural skills to the next level. With this guide, you're not just preparing for an exam; you're preparing for a distinguished career in designing sophisticated AWS solutions. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Pro Apache Hadoop

by Jason Venner

Author	: Jason Venner
Publisher	: Apress
Total Pages	: 428
Release	: 2014-09-18
Genre	: Computers
ISBN	: 1430248645

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Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been revised too, giving the latest on the ins and outs of MapReduce, cluster design, the Hadoop Distributed File System, and more. This book covers everything you need to build your first Hadoop cluster and begin analyzing and deriving value from your business and scientific data. Learn to solve big-data problems the MapReduce way, by breaking a big problem into chunks and creating small-scale solutions that can be flung across thousands upon thousands of nodes to analyze large data volumes in a short amount of wall-clock time. Learn how to let Hadoop take care of distributing and parallelizing your software—you just focus on the code; Hadoop takes care of the rest. Covers all that is new in Hadoop 2.0 Written by a professional involved in Hadoop since day one Takes you quickly to the seasoned pro level on the hottest cloud-computing framework