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Author: Sakti Mishra
Publisher: Packt Publishing Ltd
ISBN: 180107772X
Category : Computers
Languages : en
Pages : 430
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Book Description
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.
Author: Sakti Mishra
Publisher: Packt Publishing Ltd
ISBN: 180107772X
Category : Computers
Languages : en
Pages : 430
Get Book Here
Book Description
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.
Author: Sakti Mishra
Publisher: Packt Publishing Ltd
ISBN: 180107772X
Category : Computers
Languages : en
Pages : 430
Get Book Here
Book Description
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.
Author: Vishal Pathak
Publisher: Packt Publishing Ltd
ISBN: 1800562551
Category : Computers
Languages : en
Pages : 435
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Book Description
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
Author: Kate Gawron
Publisher: Packt Publishing Ltd
ISBN: 1803240059
Category : Computers
Languages : en
Pages : 472
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Book Description
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.
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 219
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Book Description
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
Author: Rob Botwright
Publisher: Rob Botwright
ISBN: 1839385812
Category : Computers
Languages : en
Pages : 321
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Book Description
🚀 Introducing "IaC Mastery: Infrastructure as Code" - Your Ultimate Guide to Terraform, AWS, Azure, and Kubernetes! 🚀 Are you ready to unlock the full potential of Infrastructure as Code (IaC) and revolutionize your cloud infrastructure management? Look no further! Dive into the world of IaC with our exclusive book bundle, featuring four comprehensive volumes that will take you from a beginner to an expert in Terraform, AWS, Azure, and Kubernetes. 📚 Book 1: Getting Started with IaC · 🌱 Perfect for beginners, this book demystifies Terraform and lays the foundation for your IaC journey. · 🏗️ Learn to create, manage, and scale infrastructure as code with Terraform. · 💡 Get hands-on experience with Terraform configuration and syntax. · 🚀 Start your IaC adventure on the right foot! 📚 Book 2: Cloud Infrastructure Orchestration with AWS and IaC · ☁️ Dive into the world of Amazon Web Services (AWS) and master the art of IaC. · 🧰 Set up your AWS environment for efficient IaC management. · 🔒 Discover advanced IaC techniques for AWS security and compliance. · 🚀 Orchestrate AWS resources seamlessly and securely! 📚 Book 3: Azure IaC Mastery: Advanced Techniques and Best Practices · 🌐 Explore the Azure cloud ecosystem and elevate your IaC skills. · 🛠️ Dive deep into advanced IaC techniques tailored for Azure. · 🌐 Master networking, security, and optimization strategies. · 🚀 Become an Azure IaC pro with real-world best practices! 📚 Book 4: Kubernetes Infrastructure as Code: Expert Strategies and Beyond · 🚢 Sail into the Kubernetes world and unlock expert strategies. · 🏗️ Learn to manage Kubernetes resources as code. · 🔐 Ensure security and compliance in Kubernetes IaC. · 🌟 Discover advanced tactics for scaling and optimizing your clusters. 🌟 Why Choose "IaC Mastery: Infrastructure as Code" 🌟 · 🧠 Gain a holistic understanding of IaC across Terraform, AWS, Azure, and Kubernetes. · 🏆 Become a sought-after IaC expert in your field. · 🚀 Transform your organization's cloud infrastructure management practices. · 💡 Unlock real-world case studies that showcase the power of IaC. · 🌐 Stay ahead in the ever-evolving world of cloud technology. Don't miss out on this opportunity to become an IaC master! Whether you're just starting your IaC journey or looking to enhance your expertise, our book bundle has you covered. Embrace the future of infrastructure management and stay at the forefront of innovation. 📦 Get your "IaC Mastery: Infrastructure as Code" book bundle today and embark on a transformative journey to cloud infrastructure excellence. Your future in IaC starts here! 🚀
Author: Rob Botwright
Publisher: Rob Botwright
ISBN: 1839385936
Category : Computers
Languages : en
Pages : 728
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Book Description
Introducing the Ultimate Cloud Infrastructure Mastery Bundle: PaaS, IaaS, and SaaS - Your Complete Guide from Beginner to Expert! 🌟 Are you ready to skyrocket your cloud expertise? 🌟 Unlock the power of Terraform, GCE, AWS, Microsoft Azure, Kubernetes, and IBM Cloud with this all-encompassing 12-in-1 book bundle! 📘 What's Inside: 1️⃣ "Terraform Essentials": Master infrastructure as code. 2️⃣ "Google Cloud Engine Mastery": Harness Google's cloud power. 3️⃣ "AWS Unleashed": Dominate Amazon Web Services. 4️⃣ "Azure Mastery": Excel with Microsoft's cloud. 5️⃣ "Kubernetes Simplified": Conquer container orchestration. 6️⃣ "IBM Cloud Mastery": Navigate IBM's cloud solutions. 7️⃣ Plus, 5 more essential guides! 🚀 Why Choose Our Bundle? ✅ Comprehensive Learning: From beginner to expert, this bundle covers it all. ✅ Real-World Application: Practical insights for real-world cloud projects. ✅ Step-by-Step Guidance: Clear and concise instructions for every skill level. ✅ Time-Saving: Get all the knowledge you need in one place. ✅ Stay Current: Up-to-date content for the latest cloud technologies. ✅ Affordable: Save big compared to buying individual books! 🔥 Unlock Limitless Possibilities: Whether you're an aspiring cloud architect, a seasoned developer, or a tech enthusiast, this bundle empowers you to: 🌐 Build scalable and efficient cloud infrastructures. 🚀 Deploy and manage applications effortlessly. 📊 Optimize cloud costs and resources. 🔄 Automate repetitive tasks with Terraform. 📦 Orchestrate containers with Kubernetes. 🌩️ Master multiple cloud platforms. 🔐 Ensure security and compliance. 💡 What Our Readers Say: 🌟 "This bundle is a game-changer! I went from cloud novice to cloud expert in no time." 🌟 "The step-by-step guides make complex topics easy to understand." 🌟 "The knowledge in these books is worth every penny. I recommend it to all my colleagues." 🎁 BONUS: Exclusive access to resources, updates, and a community of fellow learners! 🌈 Embark on your cloud journey today! Don't miss out on this limited-time opportunity to become a cloud infrastructure expert. 👉 Click "Add to Cart" now and elevate your cloud skills with the PaaS, IaaS, and SaaS: Complete Cloud Infrastructure bundle! 🔥
Author: Anouar BEN ZAHRA
Publisher: Anouar BEN ZAHRA
ISBN:
Category : Computers
Languages : en
Pages : 339
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Book Description
"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.
Author: Hui-Huang Hsu
Publisher: Morgan Kaufmann
ISBN: 012809625X
Category : Computers
Languages : en
Pages : 328
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Book Description
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
Author: Ryan Keeler
Publisher: Ryan Keeler
ISBN:
Category : Architecture
Languages : en
Pages : 74
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Book Description
The document titled "Deploying A Simple Application With AWS" by Ryan Keeler, published on February 23, 2024, serves as a comprehensive guide to leveraging Amazon Web Services (AWS) for deploying applications effectively and efficiently. It begins with an introduction to cloud computing, emphasizing AWS's pivotal role in this sector due to its expansive, reliable, and diverse range of services. The text details various aspects of AWS, including its scalable resources, cost-effectiveness, security measures, and global infrastructure which supports a pay-as-you-go pricing model ideal for businesses of all sizes. Significantly, the guide outlines the procedural steps for setting up an AWS account, and configuring the AWS Management Console—a crucial platform for managing AWS services. It covers core AWS services like Amazon EC2 for scalable computing, Amazon S3 for storage, and Amazon RDS for relational database management, emphasizing their roles in application deployment. Furthermore, the document delves into best practices for AWS usage, from security and compliance to cost management, underscoring the importance of AWS's support and resources in streamlining application development and deployment. With a focus on practical application, the guide offers instructions on navigating the AWS Management Console, setting up environments, and deploying applications using various AWS services. This manual is an essential tool for developers looking to harness AWS's capabilities for deploying applications, managing costs, and ensuring security and compliance effectively.
