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Scalable Data Streaming With Amazon Kinesis

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Scalable Data Streaming With Amazon Kinesis

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Author : Tarik Makota
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-31

Scalable Data Streaming With Amazon Kinesis written by Tarik Makota 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 2021-03-31 with Computers categories.

Explore Kinesis managed services such as Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video Streams with the help of practical use cases Key FeaturesGet well versed with the capabilities of Amazon KinesisExplore the monitoring, scaling, security, and deployment patterns of various Amazon Kinesis servicesLearn how other Amazon Web Services and third-party applications such as Splunk can be used as destinations for Kinesis dataBook Description Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale. Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk. By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA). What you will learnGet to grips with data streams, decoupled design, and real-time stream processingUnderstand the properties of KFH that differentiate it from other Kinesis servicesMonitor and scale KDS using CloudWatch metricsSecure KDA with identity and access management (IAM)Deploy KVS as infrastructure as code (IaC)Integrate services such as Redshift, Dynamo Database, and Splunk into KinesisWho this book is for This book is for solutions architects, developers, system administrators, data engineers, and data scientists looking to evaluate and choose the most performant, secure, scalable, and cost-effective data streaming technology to overcome their data ingestion and processing challenges on AWS. Prior knowledge of cloud architectures on AWS, data streaming technologies, and architectures is expected.

Scalable Data Streaming With Amazon Kinesis

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Author : Tarik Makota
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-31

Hands On Mysql Administration

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Author : Arunjith Aravindan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-28

Hands On Mysql Administration written by Arunjith Aravindan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.

Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases. You'll learn how to create databases and implement backup and recovery, security configurations, high availability, scaling techniques, and performance tuning. Using practical techniques, tips, and real-world examples, authors Arunjith Aravindan and Jeyaram Ayyalusamy show you how to deploy and manage MySQL, Amazon RDS, Amazon Aurora, and Azure MySQL. By the end of the book, you'll have the knowledge and skills necessary to administer, manage, and optimize MySQL databases effectively. Design and implement a scalable and reliable database infrastructure using MySQL 8 on premises and cloud Install and configure software, manage user accounts, and optimize database performance Use backup and recovery strategies, security measures, and high availability solutions Apply best practices for database schema design, indexing strategies, and replication techniques Implement advanced database features and techniques such as replication, clustering, load balancing, and high availability Troubleshoot common issues and errors, using diagnostic tools and techniques to identify and resolve problems quickly and efficiently Facilitate major MySQL upgrades including MySQL 5.7 to MySQL 8

Data Engineering With Aws

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Author : Gareth Eagar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-12-29

Data Engineering With Aws written by Gareth Eagar 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 2021-12-29 with Computers categories.

The missing expert-led manual for the AWS ecosystem — go from foundations to building data engineering pipelines effortlessly Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses for big data analytics from a data lakes expert Book DescriptionWritten by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS. As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data. By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.What you will learn Understand data engineering concepts and emerging technologies Ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Run complex SQL queries on data lake data using Amazon Athena Load data into a Redshift data warehouse and run queries Create a visualization of your data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Who this book is for This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.

Robust Data Engineering Key Techniques For Planning And Building Scalable And Reliable Data Systems

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Author : Deena Conway
language : en
Publisher: Raghava Appikatla
Release Date :

Robust Data Engineering Key Techniques For Planning And Building Scalable And Reliable Data Systems written by Deena Conway and has been published by Raghava Appikatla this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

In today's data-driven world, businesses and organizations rely heavily on robust data systems to gain insights, make informed decisions, and drive innovation. This book serves as a comprehensive guide to understanding the core principles, best practices, and advanced techniques for planning and building scalable and reliable data systems. From understanding fundamental data modeling concepts to exploring distributed systems and cloud-based architectures, this book covers a wide range of topics essential for data engineers of all levels. Learn to design efficient data pipelines, implement robust data quality checks, and ensure data security and governance. Explore real-world case studies and practical examples that demonstrate how to overcome common data engineering challenges. This book is an invaluable resource for aspiring and experienced data engineers, software developers, data analysts, and anyone involved in building and maintaining data-intensive applications. Whether you're just starting your data engineering journey or looking to expand your knowledge and skills, this book provides the foundational knowledge and practical guidance needed to excel in this rapidly evolving field. Equip yourself with the tools and techniques to design, build, and maintain data systems that can handle the ever-growing volumes of data and unlock the true potential of data-driven insights.

Mastering Event Driven Microservices In Aws Design Develop And Deploy Scalable Resilient And Reactive Architectures With Aws Serverless Services

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Author : Lefteris Karageorgiou
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-02-07

Mastering Event Driven Microservices In Aws Design Develop And Deploy Scalable Resilient And Reactive Architectures With Aws Serverless Services written by Lefteris Karageorgiou and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-07 with Computers categories.

Unleash the Power of AWS Serverless Services for Scalable, Resilient, and Reactive Architectures Key Features● Master the art of leveraging AWS serverless services to build robust event-driven systems. ● Gain expertise in implementing advanced event-driven patterns in AWS. ● Develop advanced skills in production-ready practices for testing, monitoring, and optimizing event-driven microservices in AWS. Book Description In the book Mastering Event-Driven Microservices in AWS, author Lefteris Karageorgiou takes you on a comprehensive journey through the world of event-driven architectures and microservices. This practical guide equips you with the knowledge and skills to design, build, and operate resilient, scalable, and fault-tolerant systems using AWS serverless services. Through concrete examples and code samples, you'll learn how to construct real-world event-driven microservices architectures, such as point-to-point messaging, pub/sub messaging, event streaming, and advanced architectures like event sourcing, CQRS, circuit breakers, and sagas. Leveraging AWS services like AWS Lambda, Amazon API Gateway, Amazon EventBridge, Amazon SQS, Amazon SNS, Amazon SQS, AWS Step Functions, and Amazon Kinesis, you'll gain hands-on experience in building robust event-driven applications. The book goes beyond just theory and delves into production-ready practices for testing, monitoring, troubleshooting, and optimizing your event-driven microservices. By the end of this comprehensive book, you'll have the confidence and expertise to design, build, and run mission-critical event-driven microservices in AWS, empowering you to tackle complex distributed systems challenges with ease. What you will learn ● Design and implement event-driven microservices on AWS seamlessly. ● Leverage AWS serverless services more effectively. ● Build robust, scalable, and fault-tolerant event-driven applications on AWS. ● Implement advanced event-driven patterns on AWS. ● Monitor and troubleshoot event-driven microservices on AWS effectively. ● Secure and optimize event-driven microservices for production workloads on AWS. Table of Contents 1. Introduction to Event-Driven Microservices 2. Designing Event-Driven Microservices in AWS 3. Messaging with Amazon SQS and Amazon SNS 4. Choreography with Amazon EventBridge 5. Orchestration with AWS Step Functions 6. Event Streaming with Amazon Kinesis 7. Testing Event-Driven Systems 8. Monitoring and Troubleshooting 9. Optimizations and Best Practices for Production 10. Real-World Use Cases on AWS Index

Apache Iceberg The Definitive Guide

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Author : Tomer Shiran
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-05-02

Apache Iceberg The Definitive Guide written by Tomer Shiran and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg. With this book, you'll learn: The architecture of Apache Iceberg tables What happens under the hood when you perform operations on Iceberg tables How to further optimize Apache Iceberg tables for maximum performance How to use Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio How Apache Iceberg can be used in streaming and batch ingestion Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.

Aws Certified Data Analytics Study Guide With Online Labs

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Author : Asif Abbasi
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-13

Aws Certified Data Analytics Study Guide With Online Labs written by Asif Abbasi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-13 with Computers categories.

Virtual, hands-on learning labs allow you to apply your technical skills in realistic environments. So Sybex has bundled AWS labs from XtremeLabs with our popular AWS Certified Data Analytics Study Guide to give you the same experience working in these labs as you prepare for the Certified Data Analytics Exam that you would face in a real-life application. These labs in addition to the book are a proven way to prepare for the certification and for work as an AWS Data Analyst. AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is intended for individuals who perform in a data analytics-focused role. This UPDATED exam validates an examinee's comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It assesses an examinee's ability to define AWS data analytics services and understand how they integrate with each other; and explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization. The book focuses on the following domains: • Collection • Storage and Data Management • Processing • Analysis and Visualization • Data Security This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS is the frontrunner in cloud computing products and services, and the AWS Certified Data Analytics Study Guide: Specialty exam will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, and much more. Written by an AWS subject-matter expert, this study guide covers exam concepts, and provides key review on exam topics. Readers will also have access to Sybex's superior online interactive learning environment and test bank, including chapter tests, practice exams, a glossary of key terms, and electronic flashcards. And included with this version of the book, XtremeLabs virtual labs that run from your browser. The registration code is included with the book and gives you 6 months of unlimited access to XtremeLabs AWS Certified Data Analytics Labs with 3 unique lab modules based on the book.

Data Leadership In The Age Of Ai Building Intelligent Scalable Analytics Systems 2025

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Author : Author : 1-Rajesh Sura, Author : 2-Dr. Sudhanshu Maurya
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :

Data Leadership In The Age Of Ai Building Intelligent Scalable Analytics Systems 2025 written by Author : 1-Rajesh Sura, Author : 2-Dr. Sudhanshu Maurya and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

PREFACE In an era where data is becoming the cornerstone of innovation and business growth, the ability to leverage this resource effectively has never been more crucial. As artificial intelligence (AI) continues to evolve and influence nearly every facet of business, organizations face the challenge of not only managing vast amounts of data but also transforming that data into actionable insights that drive decision-making and strategic direction. In this context, data leadership has emerged as a critical skill for businesses, government organizations, and technology leaders alike. The role of data leaders, those who are responsible for guiding organizations through data-driven transformations—has shifted from overseeing data collection and management to fostering a culture of intelligence, scalability, and innovation through advanced analytics. This book, Data Leadership in the Age of AI: Building Intelligent, Scalable Analytics Systems, aims to explore the evolving landscape of data leadership, offering insights into how organizations can build and scale intelligent analytics systems that leverage AI to drive efficiency, innovation, and competitive advantage. The integration of AI into data analytics systems is not just about enhancing existing processes but about fundamentally changing how organizations process, analyze, and derive value from data. With AI technologies like machine learning, natural language processing, and deep learning becoming more accessible and integrated into everyday operations, organizations must learn to navigate this new terrain with a strategic approach to data leadership. Data leadership is a multifaceted discipline that goes beyond simply managing data. It involves creating a vision for how data should be utilized to generate value, building scalable architectures that can support massive volumes of data, and developing the organizational culture necessary to foster collaboration, creativity, and innovation. As companies seek to implement AI-powered analytics systems, they must confront the complexities of data governance, data privacy, ethical concerns, and technological integration. A successful data leader is one who can effectively manage these complexities, ensuring that data systems are not only robust and scalable but also ethical, secure, and aligned with organizational goals. In this book, we will delve into the principles and strategies required to build intelligent, scalable analytics systems. We will explore key topics such as data architecture, data governance, and AI-driven insights, providing practical guidance for data leaders on how to design systems that can scale with the growing demands of today’s data-rich world. We will also examine how to foster a data-driven culture within organizations, ensuring that data and AI are at the heart of decision-making processes. Furthermore, this book will highlight case studies from leading organizations that have successfully integrated AI into their data analytics frameworks, showcasing the real-world applications and benefits of these systems. Through the insights and strategies presented in this book, readers will gain a deeper understanding of the intersection of data leadership and AI technologies, learning how to harness the power of AI to build intelligent systems that not only handle data on a scale but also extract meaningful, actionable insights in real time. Whether you are a data professional, a business leader, or someone looking to better understand the future of analytics in the AI-driven world, this book offers a comprehensive guide to navigating the evolving landscape of data leadership and AI-powered analytics. As we continue to move further into the age of AI, the role of data leadership will become even more critical to the success of organizations across industries. This book serves as a resource for those ready to take the helm in building intelligent, scalable analytics systems that will help drive their organizations forward into a new era of innovation and data-driven decision-making. Authors

The Self Taught Cloud Computing Engineer

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Author : Dr. Logan Song
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-09-22

The Self Taught Cloud Computing Engineer written by Dr. Logan Song 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 2023-09-22 with Computers categories.

Transform into a cloud-savvy professional by mastering cloud technologies through hands-on projects and expert guidance, paving the way for a thriving cloud computing career Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Gain a solid foundation in cloud computing with a structured, easy-to-follow guide Develop practical skills across AWS, Azure, and Google Cloud, covering compute, storage, networking, data, security, and AI Work on real life industrial projects, business use cases, and personal cloud career development Book DescriptionAs cloud computing continues to revolutionize IT, professionals face the challenge of keeping up with rapidly evolving technologies. This book provides a clear roadmap for mastering cloud concepts, developing hands-on expertise, and obtaining professional certifications, making it an essential resource for those looking to advance their careers in cloud computing. Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Through hands-on projects and real-world applications, you’ll gain the skills needed to work confidently across different cloud platforms. The book concludes with career development guidance, including certification paths and industry insights to help you succeed in the cloud computing landscape. Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.What you will learn Develop core skills needed to work with AWS, Azure, and GCP Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments Integrate cloud databases, big data, and machine learning services in multi-cloud environments Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds Implement machine learning pipelines in multi-cloud environment Secure cloud infrastructure ecosystems with advanced cloud security services Who this book is for This book is ideal for IT professionals looking to transition into cloud computing, as well as experienced cloud practitioners seeking to deepen their knowledge. Whether you're a beginner with basic computing experience or an industry professional aiming to expand your expertise, this comprehensive guide provides the skills and insights needed to excel in the cloud domain.

Scalable Data Streaming With Amazon Kinesis

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