Big Data on Kubernetes: A practical guide to building efficient and scalable dat

Description: Big Data on Kubernetes by Neylson Crepalde Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Gain hands-on experience in building efficient and scalable big data architecture on Kubernetes, utilizing leading technologies such as Spark, Airflow, Kafka, and TrinoKey FeaturesLeverage Kubernetes in a cloud environment to integrate seamlessly with a variety of toolsExplore best practices for optimizing the performance of big data pipelinesBuild end-to-end data pipelines and discover real-world use cases using popular tools like Spark, Airflow, and KafkaPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn todays data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you.Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, youll progress toward learning how to install Docker and run your first containerized applications. Youll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. Youll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, youll gain hands-on experience building a complete big data stack on Kubernetes.By the end of this Kubernetes book, youll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.What you will learnInstall and use Docker to run containers and build concise imagesGain a deep understanding of Kubernetes architecture and its componentsDeploy and manage Kubernetes clusters on different cloud platformsImplement and manage data pipelines using Apache Spark and Apache AirflowDeploy and configure Apache Kafka for real-time data ingestion and processingBuild and orchestrate a complete big data pipeline using open-source toolsDeploy Generative AI applications on a Kubernetes-based architectureWho this book is forIf youre a data engineer, BI analyst, data team leader, data architect, or tech manager with a basic understanding of big data technologies, then this big data book is for you. Familiarity with the basics of Python programming, SQL queries, and YAML is required to understand the topics discussed in this book. Author Biography Neylson Crepalde is a Generative AI Strategist at AWS. Prior to that, he was CTO at A3Data, a consulting company focused on Data, Analytics and Artificial Intelligence. He holds a PhD in Economic Sociology, a master in Sociology of Culture, an MBA in Cultural Management and a Bachelor in Orchestra Conducting. He has been working with data since 2015. He is committed to sharing knowledge with people of every professional level and helping data teams achieve their best. He is several times AWS certified, Spark certified, Neo4j certified and Airflow certified. Neylson has been teaching for 10+ years now in colleges and MBA programs and he gives regular talks and lectures on Data Architecture, AI strategy, Data Governance and Network Science. Details ISBN 1835462146 ISBN-13 9781835462140 Title Big Data on Kubernetes Author Neylson Crepalde Format Paperback Year 2024 Pages 296 Publisher Packt Publishing Limited GE_Item_ID:160595135; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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