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Author: Behram Irani Publisher: Packt Publishing Ltd ISBN: 1801810125 Category : Computers Languages : en Pages : 420
Book Description
Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud.
Author: Behram Irani Publisher: Packt Publishing Ltd ISBN: 1801810125 Category : Computers Languages : en Pages : 420
Book Description
Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud.
Author: Gareth Eagar Publisher: Packt Publishing Ltd ISBN: 1804613134 Category : Computers Languages : en Pages : 637
Book Description
Looking to revolutionize your data transformation game with AWS? Look no further! From strong foundations to hands-on building of data engineering pipelines, our expert-led manual has got you covered. Key Features Delve into robust AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Stay up to date with a comprehensive revised chapter on Data Governance Build modern data platforms with a new section covering transactional data lakes and data mesh Book DescriptionThis book, authored by a seasoned Senior Data Architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability. You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data meshes, and how to build a cutting-edge data platform on AWS. By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro!What you will learn Seamlessly 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 Load data into a Redshift data warehouse and run queries with ease Visualize and explore data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Build transactional data lakes using Apache Iceberg with Amazon Athena Learn how a data mesh approach can be implemented on AWS Who this book is forThis 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.
Author: Rajesh Francis Publisher: "O'Reilly Media, Inc." ISBN: 1098135261 Category : Languages : en Pages : 523
Book Description
Amazon Redshift powers analytic cloud data warehouses worldwide, from startups to some of the largest enterprise data warehouses available today. This practical guide thoroughly examines this managed service and demonstrates how you can use it to extract value from your data immediately, rather than go through the heavy lifting required to run a typical data warehouse. Analytic specialists Rajesh Francis, Rajiv Gupta, and Milind Oke detail Amazon Redshift's underlying mechanisms and options to help you explore out-of-the box automation. Whether you're a data engineer who wants to learn the art of the possible or a DBA looking to take advantage of machine learning-based auto-tuning, this book helps you get the most value from Amazon Redshift. By understanding Amazon Redshift features, you'll achieve excellent analytic performance at the best price, with the least effort. This book helps you: Build a cloud data strategy around Amazon Redshift as foundational data warehouse Get started with Amazon Redshift with simple-to-use data models and design best practices Understand how and when to use Redshift Serverless and Redshift provisioned clusters Take advantage of auto-tuning options inherent in Amazon Redshift and understand manual tuning options Transform your data platform for predictive analytics using Redshift ML and break silos using data sharing Learn best practices for security, monitoring, resilience, and disaster recovery Leverage Amazon Redshift integration with other AWS services to unlock additional value
Author: Great Britain: Parliament: House of Lords: Select Committee on the Barnett Formula Publisher: The Stationery Office ISBN: 9780108444654 Category : Business & Economics Languages : en Pages : 416
Book Description
The Barnett Formula is the mechanism used by the United Kingdom Government to allocate more than half of total public expenditure in Scotland, Wales and Northern Ireland. The Formula has been used for the last thirty years to determine the annual increase in allocation (the increment). Each year these increments are added on to the previous year's allocation (the baseline) to create what is now a significant block grant of funds. The Formula accounted for almost £49 billion of public spending in 2007-08. Despite the political changes within the United Kingdom the Formula has continued to be used and has never been reviewed or revised. The Formula was only intended to be a short term measure and should no longer be. A UK Funding Commission should be established to assess relative need in the UK's regions and advise on a new method of distributing funding to reflect those needs. The baseline has never been reviewed to take account of changing population patterns; this means that the grant provides funds without reference to the needs of each of the countries and regions of the UK. There should be a link between the grant of funds made to each of the administrations and their actual per capita funding needs. The Committee's research suggests that England and Scotland have markedly lower overall needs per head of population than Wales and Northern Ireland. The Committee suggest that the UK Funding Commission undertake an assessment of relative need now and in the future and that they undertake periodic reviews as well as publish annual data about the allocation of funding between the devolved administrations.
Author: Peter Zinterhof Publisher: Springer ISBN: 3540491643 Category : Computers Languages : en Pages : 619
Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Parallel Computation, ACPC'99, held in Salzburg, Austria in February 1999; the conference included special tracks on parallel numerics and on parallel computing in image processing, video processing, and multimedia. The volume presents 50 revised full papers selected from a total of 75 submissions. Also included are four invited papers and 15 posters. The papers are organized in topical sections on linear algebra, differential equations and interpolation, (Quasi-)Monte Carlo methods, numerical software, numerical applications, image segmentation and image understanding, motion estimation and block matching, video processing, wavelet techniques, satellite image processing, data structures, data partitioning, resource allocation and performance analysis, cluster computing, and simulation and applications.
Author: Publisher: ISBN: Category : Languages : en Pages : 574
Book Description
PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.
Author: Steven Nelson Publisher: Apress ISBN: 1430226633 Category : Computers Languages : en Pages : 290
Book Description
Good backup and recovery strategies are key to the health of any organization. Medium- to very-large-scale systems administrators have to protect large amounts of critical data as well as design backup solutions that are scalable and optimized to meet changing conditions. Pro Data Backup and Recovery will cover some of the more common backup applications, such as Symantec NetBackup/BackupExec, EMC NetWorker, and CommVault, but the main discussion will focus on the implementation of 21st century architectures that allow the backup software to be a “commodity” item. The underlying architecture provides the framework for meeting the requirements of data protection for the organization. This book covers new developments in data protection as well as the impact of single-instance storage upon backup infrastructures. It discusses the impact of backup and data replication, the often misapplied B2D and D2D strategies, and “tapeless” backup environments. Continuous data protection and remote replication strategies are also addressed as they are integrated within backup strategies—a very important topic today. Learn backup solution design regardless of specific backup software Design realistic recovery solutions Take into account new data protection standards and the impact of data replication Whether you are using NetBackup, CommVault, or some other backup software, Pro Data Backup and Recovery will give you the information you need to keep your data safe and available.
Author: Cynthia Chris Publisher: Reaktion Books ISBN: 1789149681 Category : Nature Languages : en Pages : 188
Book Description
An entertaining and wide-ranging romp through the cultural history of a peculiar bird. The cuckoo is peculiar for inspiring such divergent ideas: a symbol of foolishness to both Aristophanes and Cocoa Puffs, a reliable harbinger of spring and the hours of a cuckoo clock, and the source of innumerable innuendos inspired by a habit of laying eggs in others’ nests. In this short, entertaining book, Cynthia Chris explores both the natural and cultural history of the cuckoo as well as the many stories told throughout the centuries about this fascinating bird.
Author: David McCrone Publisher: SAGE ISBN: 1473987059 Category : Social Science Languages : en Pages : 737
Book Description
Written by a leading sociologist of Scotland, this ground-breaking new introduction is a comprehensive account of the social, political, economic and cultural processes at work in contemporary Scottish society. At a time of major uncertainty and transformation The New Sociology of Scotland explores every aspect of Scottish life. Placed firmly in the context of globalisation, the text: examines a broad range of topics including race and ethnicity, social inequality, national identity, health, class, education, sport, media and culture, among many others. looks at the ramifications of recent political events such as British General Election of 2015, the Scottish parliament election of May 2016, and the Brexit referendum of June 2016. uses learning features such as further reading and discussion questions to stimulate students to engage critically with issues raised. Written in a lucid and accessible style, The New Sociology of Scotland is an indispensable guide for students of sociology and politics.
Author: Behram Irani
Author: Behram Irani
Author: 
Author: Gareth Eagar
Author: Rajesh Francis
Author: Great Britain: Parliament: House of Lords: Select Committee on the Barnett Formula
Author: Peter Zinterhof
Author: 
Author: Steven Nelson
Author: Cynthia Chris
Author: David McCrone