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Simplify Big Data Analytics With Amazon Emr

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Simplify Big Data Analytics With Amazon Emr

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Author : Sakti Mishra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-25

Simplify Big Data Analytics With Amazon Emr written by Sakti Mishra and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-25 with Computers categories.

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

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Author : Sakti Mishra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-25

Serverless Etl And Analytics With Aws Glue

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Author : Vishal Pathak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-08-30

Serverless Etl And Analytics With Aws Glue written by Vishal Pathak and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-30 with Computers categories.

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

Aws Certified Database Specialty Dbs C01 Certification Guide

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Author : Kate Gawron
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-05-13

Aws Certified Database Specialty Dbs C01 Certification Guide written by Kate Gawron and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-13 with Computers categories.

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

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :

Aws Certification Guide Aws Certified Data Analytics Specialty written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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 Cloud Practitioner Exam Guide

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Author : Gabriele Mastrapasqua
language : en
Publisher: BPB Publications
Release Date : 2025-05-07

Aws Cloud Practitioner Exam Guide written by Gabriele Mastrapasqua and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.

DESCRIPTION Amazon Web Services (AWS) stands as the preeminent cloud computing platform, offering a comprehensive suite of services for diverse technological requirements. This AWS Cloud Practitioner Exam Guide serves as a structured and rigorous resource for comprehending the foundational principles of AWS and effectively preparing for the Cloud Practitioner Certification examination. This guide introduces core cloud computing paradigms, the Global Infrastructure of AWS encompassing regions, Availability Zones, and content delivery mechanisms via CloudFront and Edge Locations. It examines cloud deployment, the AWS Well-Architected Framework for resilient, scalable solutions, and secure access via IAM. Essential compute (EC2, Lambda), storage (S3, EBS), databases (RDS, DynamoDB), networking (VPC), security, event-driven architectures (SQS, SNS), monitoring (CloudWatch), infrastructure automation (CloudFormation), cost management, advanced identity (Cognito), and other AWS offerings for exam preparation are also covered. It also covers event-driven architectures with SQS and SNS, monitoring with CloudWatch, automation via CloudFormation, cost management, advanced identity with Cognito, and key AWS services aligned with exam goals. Upon completing this guide, you'll gain a solid foundation in AWS services and concepts, preparing you to confidently pass the AWS Cloud Practitioner exam and articulate key cloud value propositions. This book is your step-by-step path to launching a career in cloud engineering, solutions architecture, DevOps, or cloud support. WHAT YOU WILL LEARN ● Implementing AWS security best practices, encryption, key management, compliance, and auditing. ● Content delivery with CloudFront, event-driven architectures using SQS and SNS messaging. ● Monitoring AWS resources with CloudWatch and infrastructure automation using CloudFormation and CDK. ● Cloud fundamentals, AWS Global Infrastructure, deployment models, and the Well-Architected Framework. ● Core AWS compute services like EC2 instances, containers with ECS, and serverless Lambda. ● Relational (RDS, Aurora) and NoSQL (DynamoDB) database services and analytical tools (Redshift). WHO THIS BOOK IS FOR This book is designed for individuals seeking to understand AWS fundamentals and those aiming to enhance their existing AWS knowledge for certification purposes. No prior AWS or technical experience is needed, making it ideal for both beginners and professionals looking to build and validate foundational cloud skills. TABLE OF CONTENTS 1. Cloud Introduction 2. AWS Global Infrastructures and Main Services 3. AWS Identity Access Management 4. AWS Compute Services 5. AWS Storage Services 6. AWS Database Services 7. AWS Networking 8. AWS Security 9. AWS Content Delivery and Global Applications 10. AWS Events and Messages 11. AWS Cloud Monitoring 12. AWS Cloud Deployment and IaC 13. AWS Billing and Organizations 14. AWS Advanced Identity Services 15. Machine Learning and Other AWS Services 16. Preparing for the Exam

Building Cloud Data Platforms Solutions

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Author : Anouar BEN ZAHRA
language : en
Publisher: Anouar BEN ZAHRA
Release Date :

Building Cloud Data Platforms Solutions written by Anouar BEN ZAHRA and has been published by Anouar BEN ZAHRA this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

"Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.

Ultimate Aws Certified Solutions Architect Professional Exam Sapc02 Guide

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Author : Gaurav H Kankaria
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-02-15

Ultimate Aws Certified Solutions Architect Professional Exam Sapc02 Guide written by Gaurav H Kankaria and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-15 with Computers categories.

TAGLINE Pass the AWS Solutions Architect Pro Exam with Confidence. KEY FEATURES ● Dive deep into all critical areas of the exam, including advanced architecture, cost optimization, high availability, and security. ● Engage with interactive exercises that simulate real-world cloud challenges. ● Learn from experienced professionals who share insider tips, proven strategies, and common pitfalls to avoid. DESCRIPTION The AWS Certified Solutions Architect Professional certification is a vital credential for IT professionals seeking to advance their careers in cloud architecture. Mastering the complexities of AWS requires a deep understanding of its architecture and services. The Ultimate AWS Certified Solutions Architect Professional Exam Guide is your comprehensive resource to conquering the AWS Certified Solutions Architect Professional exam. It is designed to equip you with the knowledge and practical skills necessary to design and deploy scalable, high-performing, and cost-effective cloud solutions. Delve into core AWS services, advanced architecture patterns, and best practices. Explore topics such as VPC design, security, high availability, cost optimization, and more. Each chapter offers in-depth explanations, real-world examples, and exercises to solidify your understanding. By the end of this book, you will be confident in architecting robust cloud solutions, troubleshooting complex issues, and successfully passing the AWS Certified Solutions Architect Professional exam. With a solid grasp of AWS architecture and a proven exam preparation strategy, you will be well-prepared to excel as a cloud architect and drive innovation within your organization. WHAT WILL YOU LEARN ● Design scalable, secure, and cost-effective cloud architectures on AWS. ● Master VPC design, security, and implement high-availability best practices. ● Optimize AWS services for peak performance, reliability, and cost efficiency. ● Troubleshoot complex cloud infrastructure issues with precision and confidence. ● Prepare effectively for the AWS Solution Architect Professional certification exam. ● Gain practical experience through real-world scenarios and hands-on exercises. WHO IS THIS BOOK FOR? This book is tailored for IT professionals aiming for the AWS Certified Solutions Architect Professional certification. It is also ideal for experienced Solution Architects looking to enhance their expertise and for those working in cloud computing roles who need a deep understanding of AWS architecture and best practices. TABLE OF CONTENTS 1. Introduction to AWS Solution Architect Professional Exam 2. Advanced Architecting on AWS 3. Security Practices in AWS 4. High Availability and Disaster Recovery 5. Performance Optimization and Scalability 6. Cost Optimization 7. Migration and Modernization 8. DevOps and Continuous Delivery 9. Advanced Networking and Content Delivery 10. Big Data and Analytics 11. Serverless Computing and Microservices 12. Emerging Technologies and Trends 13. Preparing for Exam Index

Cloud Based Machine Learning Practical Guide To Deploying Ai Models In The Cloud

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Author : Hemanth Volikatla
language : en
Publisher: RK Publication
Release Date : 2024-05-15

Cloud Based Machine Learning Practical Guide To Deploying Ai Models In The Cloud written by Hemanth Volikatla and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Computers categories.

Cloud-Based Machine Learning – Practical Guide to Deploying AI Models in the Cloud is a comprehensive resource designed to help professionals and enthusiasts harness the power of cloud platforms for AI deployment. It's key concepts, tools, and techniques for building, training, and deploying machine learning models using services like AWS, Azure, and Google Cloud. With practical examples, step-by-step instructions, and best practices, this guide empowers readers to scale AI solutions efficiently, ensuring robust performance and seamless integration into real-world applications. Perfect for beginners and experts aiming to advance their skills in cloud-based AI technologies.

Big Data Analytics For Sensor Network Collected Intelligence

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Author : Hui-Huang Hsu
language : en
Publisher: Morgan Kaufmann
Release Date : 2017-02-02

Big Data Analytics For Sensor Network Collected Intelligence written by Hui-Huang Hsu and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-02 with Computers categories.

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Contains contributions from noted scholars in computer science and electrical engineering from around the globe - Provides a broad overview of recent developments in sensor collected intelligence - Edited by a team comprised of leading thinkers in big data analytics

Simplify Big Data Analytics With Amazon Emr

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