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Stream Data Integration A Complete Guide 2019 Edition Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Stream Data Integration A Complete Guide 2019 Edition book. This book definitely worth reading, it is an incredibly well-written.
Author : Gerardus Blokdyk
Publisher : Unknown
Page : 0 pages
File Size : 45,7 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 0655952764
Author : Pierre-Yves BONNEFOY,Emeric CHAIZE,Raphaël MANSUY,Mehdi TAZI
Publisher : Packt Publishing Ltd
Page : 490 pages
File Size : 48,5 Mb
Release : 2024-03-29
Category : Computers
ISBN : 9781837634774
Learn the essentials of data integration with this comprehensive guide, covering everything from sources to solutions, and discover the key to making the most of your data stack Key Features Learn how to leverage modern data stack tools and technologies for effective data integration Design and implement data integration solutions with practical advice and best practices Focus on modern technologies such as cloud-based architectures, real-time data processing, and open-source tools and technologies Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data. This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You’ll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you’ll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics. By the end of this book, you’ll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.What you will learn Discover the evolving architecture and technologies shaping data integration Process large data volumes efficiently with data warehousing Tackle the complexities of integrating large datasets from diverse sources Harness the power of data warehousing for efficient data storage and processing Design and optimize effective data integration solutions Explore data governance principles and compliance requirements Who this book is for This book is perfect for data engineers, data architects, data analysts, and IT professionals looking to gain a comprehensive understanding of data integration in the modern era. Whether you’re a beginner or an experienced professional enhancing your knowledge of the modern data stack, this definitive guide will help you navigate the data integration landscape.
Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 308 pages
File Size : 49,9 Mb
Release : 2019-03-18
Category : Electronic
ISBN : 0655539301
Is it worth trying to do iPaaS if your organization is still struggling with data governance? What kinds of PaaS suites and specialized PaaS will be sustainable for long-term use? Are there any use cases where you would not recommend using iPaaS for integration? What are the technology solutions for a hybrid private/public cloud use? What impact will iPaaS implementation have on end user satisfaction? This premium iPaaS for Data Integration self-assessment will make you the established iPaaS for Data Integration domain assessor by revealing just what you need to know to be fluent and ready for any iPaaS for Data Integration challenge. How do I reduce the effort in the iPaaS for Data Integration work to be done to get problems solved? How can I ensure that plans of action include every iPaaS for Data Integration task and that every iPaaS for Data Integration outcome is in place? How will I save time investigating strategic and tactical options and ensuring iPaaS for Data Integration costs are low? How can I deliver tailored iPaaS for Data Integration advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all iPaaS for Data Integration essentials are covered, from every angle: the iPaaS for Data Integration self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that iPaaS for Data Integration outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced iPaaS for Data Integration practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in iPaaS for Data Integration are maximized with professional results. Your purchase includes access details to the iPaaS for Data Integration self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific iPaaS for Data Integration Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Gerardus Blokdyk
Publisher : Unknown
Page : 0 pages
File Size : 43,9 Mb
Release : 2018
Category : Electronic books
ISBN : 0655131035
Edge data integration A Complete Guide.
Author : Valliappa Lakshmanan,Jordan Tigani
Publisher : O'Reilly Media
Page : 522 pages
File Size : 40,8 Mb
Release : 2019-10-23
Category : Computers
ISBN : 9781492044437
Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.
Author : Marek Chmel,Vladimír Mužný
Publisher : Packt Publishing Ltd
Page : 522 pages
File Size : 54,6 Mb
Release : 2020-09-11
Category : Computers
ISBN : 9781789950335
Use Microsoft SQL Server 2019 to implement, administer, and secure a robust database solution that is disaster-proof and highly available Key FeaturesExplore new features of SQL Server 2019 to set up, administer, and maintain your database solution successfullyDevelop a dynamic SQL Server environment and streamline big data pipelinesDiscover best practices for fixing performance issues, database access management, replication, and securityBook Description SQL Server is one of the most popular relational database management systems developed by Microsoft. This second edition of the SQL Server Administrator's Guide will not only teach you how to administer an enterprise database, but also help you become proficient at managing and keeping the database available, secure, and stable. You’ll start by learning how to set up your SQL Server and configure new and existing environments for optimal use. The book then takes you through designing aspects and delves into performance tuning by showing you how to use indexes effectively. You’ll understand certain choices that need to be made about backups, implement security policy, and discover how to keep your environment healthy. Tools available for monitoring and managing a SQL Server database, including automating health reviews, performance checks, and much more, will also be discussed in detail. As you advance, the book covers essential topics such as migration, upgrading, and consolidation, along with the techniques that will help you when things go wrong. Once you’ve got to grips with integration with Azure and streamlining big data pipelines, you’ll learn best practices from industry experts for maintaining a highly reliable database solution. Whether you are an administrator or are looking to get started with database administration, this SQL Server book will help you develop the skills you need to successfully create, design, and deploy database solutions. What you will learnDiscover SQL Server 2019’s new features and how to implement themFix performance issues by optimizing queries and making use of indexesDesign and use an optimal database management strategyCombine SQL Server 2019 with Azure and manage your solution using various automation techniquesImplement efficient backup and recovery techniques in line with security policiesGet to grips with migrating, upgrading, and consolidating with SQL ServerSet up an AlwaysOn-enabled stable and fast SQL Server 2019 environmentUnderstand how to work with Big Data on SQL Server environmentsWho this book is for This book is for database administrators, database developers, and anyone who wants to administer large and multiple databases single-handedly using Microsoft's SQL Server 2019. Basic awareness of database concepts and experience with previous SQL Server versions is required.
Author : Tyler Akidau,Slava Chernyak,Reuven Lax
Publisher : "O'Reilly Media, Inc."
Page : 391 pages
File Size : 41,7 Mb
Release : 2018-07-16
Category : Computers
ISBN : 9781491983829
Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from Tyler Akidau’s popular blog posts "Streaming 101" and "Streaming 102", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. You’ll explore: How streaming and batch data processing patterns compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra
Author : Andrew Psaltis
Publisher : Simon and Schuster
Page : 314 pages
File Size : 49,6 Mb
Release : 2017-05-31
Category : Computers
ISBN : 9781638357247
Summary Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them. About the Book Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details. What's Inside The right way to collect real-time data Architecting a streaming pipeline Analyzing the data Which technologies to use and when About the Reader Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required. About the Author Andrew Psaltis is a software engineer focused on massively scalable real-time analytics. Table of Contents PART 1 - A NEW HOLISTIC APPROACH Introducing streaming data Getting data from clients: data ingestion Transporting the data from collection tier: decoupling the data pipeline Analyzing streaming data Algorithms for data analysis Storing the analyzed or collected data Making the data available Consumer device capabilities and limitations accessing the data PART 2 - TAKING IT REAL WORLD Analyzing Meetup RSVPs in real time
Author : Chiara Romualdi,Enrica Calura,Davide Risso,Sampsa Hautaniemi,Francesca Finotello
Publisher : Frontiers Media SA
Page : 187 pages
File Size : 51,5 Mb
Release : 2020-12-03
Category : Medical
ISBN : 9782889661510
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author : Ching-Hsien Hsu,Mengwei Xu,Hung Cao,Hojjat Baghban,A. B. M. Shawkat Ali
Publisher : Springer Nature
Page : 570 pages
File Size : 40,7 Mb
Release : 2023-04-30
Category : Computers
ISBN : 9789819922338
This book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022. The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications.
Author : Tanwar, Poonam,Saxena, Arti,Priya, C.
Publisher : IGI Global
Page : 240 pages
File Size : 47,5 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799877301
To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.
Author : Vallipuram Muthukkumarasamy,Sithu D. Sudarsan,Rudrapatna K. Shyamasundar
Publisher : Springer Nature
Page : 496 pages
File Size : 50,7 Mb
Release : 2023-12-08
Category : Computers
ISBN : 9783031490996
This book constitutes the refereed proceedings of the19th International Conference on Information Systems Security, ICISS 2023, held in Raipur, India, during December 16–20, 2023. The 18 full papers and 10 short papers included in this book were carefully reviewed and selected from 78 submissions. They are organized in topical sections as follows: systems security, network security, security in AI/ML, privacy, cryptography, blockchains.
Author : Kirk A. Phillips,Dirk P. Yamamoto,LeeAnn Racz
Publisher : CRC Press
Page : 325 pages
File Size : 53,8 Mb
Release : 2020-05-15
Category : Technology & Engineering
ISBN : 9780429558337
This book provides a comprehensive overview of the concept of "Total Exposure Health" and presents details on subject areas which make up the framework. It provides in-depth coverage of the science and technology supporting exposure and risk assessment. This includes advances in toxicology and the "-omics" as well as new techniques for exposure assessment. The book concludes with a discussion on bioethics implications, including ethical considerations related to genetic testing. Discusses advances in exposure monitoring Presents a systems biology approach to human exposures Examines how overall well-being translates to worker productivity Considers the link between work-related risk factors and health conditions Covers the study of genomics in precision medicine and exposure science Explores bioethics in genomic studies Aimed at the exposure professionals (industrial hygienists, toxicologists, public health, environmental engineers), geneticists, molecular biologists, engineers and managers in the health and safety industry as well as professionals in the public administration field.
Author : Simon James Fong,Richard C. Millham
Publisher : Springer Nature
Page : 228 pages
File Size : 53,8 Mb
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 9789811566950
This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.
Author : Ankur Dumka,Sandip K. Chaurasiya,Arindam Biswas,Hardwari Lal Mandoria
Publisher : CRC Press
Page : 357 pages
File Size : 48,8 Mb
Release : 2019-05-31
Category : Computers
ISBN : 9781000001945
This book provides comprehensive coverage of the major aspects in designing, implementing, and deploying wireless sensor networks by discussing present research on WSNs and their applications in various disciplines. It familiarizes readers with the current state of WSNs and how such networks can be improved to achieve effectiveness and efficiency. It starts with a detailed introduction of wireless sensor networks and their applications and proceeds with layered architecture of WSNs. It also addresses prominent issues such as mobility, heterogeneity, fault-tolerance, intermittent connectivity, and cross layer optimization along with a number of existing solutions to stimulate future research.