Автор: Sherif Sakr; Faisal Moeen Orakzai; Ibrahim Abdelaz Название: Large-Scale Graph Processing Using Apache Giraph ISBN: 3319474308 ISBN-13(EAN): 9783319474304 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data.
Описание: This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data.
Автор: F.W. Purchall; Raymond S. Walker Название: Case Studies in Business Data Processing ISBN: 0333132505 ISBN-13(EAN): 9780333132500 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Overview of data architecture on Microsoft Azure Introduction Technologies: everyone touched in the book plus some other edge technologies just mentioned. We explain the scenarios of the book.This chapter will be written during the whole process, updating it with the relevant content of the scenarios developed in the chapters. 2 Working with Relational DBs on Azure Relational DBs scenarios Technologies: VMs, Backup, Storage, SQL Server DR and GEO-DR, (Oracle, MySQL)We would like to cover the best practices to deploy standard RDBMSs while using Azure VMs and networking. 3 Working with Azure SQL Database Azure DB scenarios Technologies: Azure SQL DB, Stretch DB, Database Pools, Sharding data, Migration from other RDBMSs to Azure SQL DBThis chapter is about the SQL Database PaaS, with some tricks for advanced usage. We cover the services and the connected services, how to scale with relational DBs and how to write multi-tenant applications. 4 Working with NoSQL alternatives NoSQL scenarios Technologies: Storage, DocumentDB, Redis, Azure SearchThis chapter enforces the polyglot persistence idea, where different technologies and data sources address different needs. The NoSQL alternatives can fill the gap of modern applications in terms of performance and feature set. 5 Orchestrate data with Azure Data Factory Integration scenarios Technologies: Azure Data FactoryIn this chapter we talk about integration of different data sources and advanced pipelines of data transformation. We explore some scenarios to lower the complexity of the Data Factory service and we see how to setup existing solutions to fit it. 6 Advanced analysis with Azure Data Lake Analysis scenarios Technologies: Data Lake Store/Analytics, U-SQLThis is the first chapter about ingestion of big data. This is focused on ingestion of native data, to be prepared, enriched and evaluated/analyzed in a second step. 7 Real-time Ingestion, Processing and Prediction Real-time scenarios Technologies: Machine Learning, Stream Analytics, Event HubThis is instead focused in ingestion of well-known and structured data with the aim to process it in real-time. In addition a step of prediction is added to react (in real time too) to certain events. 8 Working with Big Data with Azure Batch and Map/Reduce Big data scenarios Technologies: HDInsight, Hadoop, Spark, R Server, Storm, Azure BatchThis is the last chapter about Big Data, exploring the industry standard to perform data operations, while executing those engines on Azure. 9 APPENDIX (tbd yet, adding some of the topics below to one of the other chapter still has to be defined) Other Technologies: Azure Analysis Services (chapter 3?), Power BI (chapter 6?), Azure SQL DataWarehouse (chapter 6?), Azure Data Catalog (chapter 5?)Those technologies should fit the existing chapters, but we do not know where they best fit at the time being.
Описание: This proceedings volume contains selected papers that were presented in the 3rd International Symposium on Big data and Cloud Computing Challenges, 2016 held at VIT University, India on March 10 and 11.
Описание: This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems.
Автор: Guller, Mohammed Название: Big data analytics with spark ISBN: 1484209656 ISBN-13(EAN): 9781484209653 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis.
Название: Big-data analytics and cloud computing ISBN: 3319253115 ISBN-13(EAN): 9783319253114 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures;
Автор: Upadhyay Название: CABology: Value of Cloud, Analytics and Big Data Trio Wave ISBN: 9811086745 ISBN-13(EAN): 9789811086748 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive advantage. It offers business of all sizes a structured and comprehensive way of discovering the real benefits, usage and operationalization aspects of utilizing the Trio Wave.
Автор: Mosco Vincent Название: To the Cloud: Big Data in a Turbulent World ISBN: 1612056164 ISBN-13(EAN): 9781612056166 Издательство: Taylor&Francis Рейтинг: Цена: 5664.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cloud computing and big data are arguably the most significant forces in information technology today
Автор: Mavromoustakis Название: Advances in Mobile Cloud Computing and Big Data in the 5G Era ISBN: 331945143X ISBN-13(EAN): 9783319451435 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.
Описание: Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Using Splunk, you can monitor data in real time, or mine your data after the fact.
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