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Paperback. Zustand: New. 1st ed. Learn various commercial and open source products that perform SQL on Big Data platforms. You will understand the architectures of the various SQL engines being used and how the tools work internally in terms of execution, data movement, latency, scalability, performance, and system requirements.This book consolidates in one place solutions to the challenges associated with the requirements of speed, scalability, and the variety of operations needed for data integration and SQL operations. After discussing the history of the how and why of SQL on Big Data, the book provides in-depth insight into the products, architectures, and innovations happening in this rapidly evolving space.SQL on Big Data discusses in detail the innovations happening, the capabilities on the horizon, and how they solve the issues of performance and scalability and the ability to handle different data types. The book covers how SQL on Big Data engines are permeating the OLTP, OLAP, and Operational analytics space and the rapidly evolving HTAP systems.You will learn the details of:Batch Architectures-Understand the internals and how the existing Hive engine is built and how it is evolving continually to support new features and provide lower latency on queriesInteractive Architectures-Understanding how SQL engines are architected to support low latency on large data setsStreaming Architectures-Understanding how SQL engines are architected to support queries on data in motion using in-memory and lock-free data structuresOperational Architectures-Understanding how SQL engines are architected for transactional and operational systems to support transactions on Big Data platformsInnovative Architectures-Explore the rapidly evolving newer SQL engines on Big Data with innovative ideas and conceptsWho This Book Is For:Business analysts, BI engineers, developers, data scientists and architects, and quality assurance professionals. …

Zustand: New. Num Pages: 157 pages, 28 black & white illustrations, 52 colour illustrations, biography. BIC Classification: UNSJ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 285. . 2016. Paperback. . . . .

Paperback. Zustand: Brand New. 174 pages. 9.00x6.00x1.00 inches. In Stock.

Zustand: New. Num Pages: 157 pages, 28 black & white illustrations, 52 colour illustrations, biography. BIC Classification: UNSJ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 285. . 2016. Paperback. . . . . Books ship from the US and Ireland.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Taschenbuch. Zustand: Neu. SQL on Big Data | Technology, Architecture, and Innovation | Sumit Pal | Taschenbuch | xvii | Englisch | 2016 | Apress | EAN 9781484222461 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Zustand: New. 1st ed. Learn various commercial and open source products that perform SQL on Big Data platforms. You will understand the architectures of the various SQL engines being used and how the tools work internally in terms of execution, data movement, latency, scalability, performance, and system requirements.This book consolidates in one place solutions to the challenges associated with the requirements of speed, scalability, and the variety of operations needed for data integration and SQL operations. After discussing the history of the how and why of SQL on Big Data, the book provides in-depth insight into the products, architectures, and innovations happening in this rapidly evolving space.SQL on Big Data discusses in detail the innovations happening, the capabilities on the horizon, and how they solve the issues of performance and scalability and the ability to handle different data types. The book covers how SQL on Big Data engines are permeating the OLTP, OLAP, and Operational analytics space and the rapidly evolving HTAP systems.You will learn the details of:Batch Architectures-Understand the internals and how the existing Hive engine is built and how it is evolving continually to support new features and provide lower latency on queriesInteractive Architectures-Understanding how SQL engines are architected to support low latency on large data setsStreaming Architectures-Understanding how SQL engines are architected to support queries on data in motion using in-memory and lock-free data structuresOperational Architectures-Understanding how SQL engines are architected for transactional and operational systems to support transactions on Big Data platformsInnovative Architectures-Explore the rapidly evolving newer SQL engines on Big Data with innovative ideas and conceptsWho This Book Is For:Business analysts, BI engineers, developers, data scientists and architects, and quality assurance professionals. …

Taschenbuch. Zustand: Neu. Bioremediation of Chromium by Phanerochaete chrysosporium MTCC787 | Sumit Pal | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848411078 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Paperback. Zustand: new. Paperback. Learn various commercial and open source products that perform SQL on Big Data platforms. You will understand the architectures of the various SQL engines being used and how the tools work internally in terms of execution, data movement, latency, scalability, performance, and system requirements.This book consolidates in one place solutions to the challenges associated with the requirements of speed, scalability, and the variety of operations needed for data integration and SQL operations. After discussing the history of the how and why of SQL on Big Data, the book provides in-depth insight into the products, architectures, and innovations happening in this rapidly evolving space.SQL on Big Data discusses in detail the innovations happening, the capabilities on the horizon, and how they solve the issues of performance and scalability and the ability to handle different data types. The book covers how SQL on Big Data engines are permeating the OLTP, OLAP, and Operational analytics space and the rapidly evolving HTAP systems.You will learn the details of:Batch ArchitecturesUnderstand the internals and how the existing Hive engine is built and how it is evolving continually to support new features and provide lower latency on queriesInteractive ArchitecturesUnderstanding how SQL engines are architected to support low latency on large data setsStreaming ArchitecturesUnderstanding how SQL engines are architected to support queries on data in motion using in-memory and lock-free data structuresOperational ArchitecturesUnderstanding how SQL engines are architected for transactional and operational systems to support transactions on Big Data platformsInnovative ArchitecturesExplore the rapidly evolving newer SQL engines on Big Data with innovative ideas and conceptsWho This Book Is For:Business analysts, BI engineers, developers, data scientists and architects, and quality assurance professionals Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents original, peer-reviewed research papers from the International Conference on Recent Trends in Artificial Intelligence and Data Sciences CONFLUENCE 2025. It highlights the latest advancements across diverse areas of data science and computational techniques. The volume focuses on artificial intelligence, machine learning, deep learning, soft computing, and other emerging methodologies. By sharing recent findings in these domains, the book serves as a valuable resource for researchers, scientists, industry professionals, and students alike.…