{"title":"Danil Zburivsky","description":null,"products":[{"product_id":"designing-cloud-data-platforms-book-danil-zburivsky-9781617296444","title":"Designing Cloud Data Platforms","description":"Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services.       Designing Cloud Data Platforms    is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it.      about the technologyAccess to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations.     Designing Cloud Data Platforms   lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization's data, and present it as useful business insights.    about the bookIn     Designing Cloud Data Platforms, you’ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you’ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you’ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more.            what's inside     The tools of different public cloud for implementing data platforms Best practices for managing structured and unstructured data sets Machine learning tools that can be used on top of the cloud Cost optimization techniques         about the readerFor data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark.       about the authors   Danil Zburivsky    has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe.       Lynda Partner    is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49570324283665,"sku":"GOR013586030","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ GARDNERS","offer_id":49740503744785,"sku":"NGR9781617296444","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":52183731994897,"sku":"CIN1617296449G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":52410111328529,"sku":"CIN1617296449VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ WELL_READ \/ SBYB","offer_id":53682270830865,"sku":"CIN1617296449A","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1617296449.jpg?v=1775814926"},{"product_id":"hadoop-cluster-deployment-book-danil-zburvisky-9781783281718","title":"Hadoop Cluster Deployment","description":"Construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently  Key Features  Choose the hardware and Hadoop distribution that best suits your needs Get more value out of your Hadoop cluster with Hive, Impala, and Sqoop Learn useful tips for performance optimization and security  Book DescriptionBig Data is the hottest trend in the IT industry at the moment. Companies are realizing the value of collecting, retaining, and analyzing as much data as possible. They are therefore rushing to implement the next generation of data platform, and Hadoop is the centerpiece of these platforms.This practical guide is filled with examples which will show you how to successfully build a data platform using Hadoop. Step-by-step instructions will explain how to install, configure, and tie all major Hadoop components together. This book will allow you to avoid common pitfalls, follow best practices, and go beyond the basics when building a Hadoop cluster.This book will walk you through the process of building a Hadoop cluster from the ground up. By using practical examples and command samples, you will be able to get a cluster up and running in no time, and you will also gain a deep understanding of how various Hadoop components work and interact with each other.You will learn how to pick the right hardware for different types of Hadoop clusters and about the differences between various Hadoop distributions. By the end of this book, you will be able to install and configure several of the most popular Hadoop ecosystem projects including Hive, Impala, and Sqoop, and you will also be given a sneak peek into the pros and cons of using Hadoop in the cloud.What you will learn  Choose the optimal hardware configuration for your Hadoop cluster Decipher the differences between various Hadoop versions and distributions Make your cluster crash-proof with Namenode High Availability Learn tips and tricks for Jobtracker, Tasktracker, and Datanodes Discover the most important Hadoop ecosystem projects Get more value out of your cluster by using SQL with Hive and real-time query processing with Impala Set up a proper permissions model for your cluster Secure Hadoop with Kerberos Deploy a Hadoop cluster in a cloud environment    Who this book is forThis book is ideal for database administrators, data engineers, and system administrators, and it will act as an invaluable reference if you are planning to use the Hadoop platform in your organization. It is expected that you have basic Linux skills since all the examples in this book use this operating system. It is also useful if you have access to test hardware or virtual machines to be able to follow the examples in the book.","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":51170493923601,"sku":"NIN9781783281718","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52134625575185,"sku":"NLS9781783281718","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1783281715.jpg?v=1751184815"}],"url":"https:\/\/www.worldofbooks.com\/collections\/author-books-by-danil-zburivsky.oembed","provider":"World of Books ","version":"1.0","type":"link"}