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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.

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.

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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.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 concepts Who This Book Is For: Business analysts, BI engineers, developers, data scientists and architects, and quality assurance professionals 180 pp. Englisch.

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the merits and drawbacks of each solutionThe only book available that focuses on putting everything together and stitching a story around it rather than focusing on one solution.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar Dr. SujitDr. Sujit Kumar is pursuing MD (Doctor of Medicine) (Ayu) in Physiology from Vadodara. He is the Fellow member of Physiological Society London, UK. IInd Author: Dr. Sumit Pal, Ph.D. from IIT Delhi. He is Editorial Bo.

Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pal SumitSumit pal is currently Senior Research Fellow (SRF) in Indian agricultural research institute (IARI), New Delhi. Previously he worked for Central university of Punjab, Bathinda, India and Gandhi Institute of Sciences, GITAM.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 conceptsSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 concepts Who This Book Is For: Business analysts, BI engineers, developers, data scientists and architects, and quality assurance professionals.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Chromium as a pollutant is of major concern as the metal is used in various industrial processing like electroplating, metal finishing, leather tanning and chromate preparation. Chromium found in water bodies and in soil is in the form of Trivalent Cr and Hexavalent Cr .Hexavalent Cr being of particular concern because of its greater toxicity. At present various microorganisms are used for bioremediation of heavy metals from soil and water bodies.In this book bioremediation of chromium from fortified solutions by a white rot fungus Phanerochaete chrysosporium (MTCC787) using in form of viable cells, microbial biosorbent (dried cells) and immobilized cells studied. The percentage removal of chromium was analyzed by UV-Visible spectrophotometer (HitachiU-2900). In this book various physical parameters like pH and liquid medium i.e. basal salt medium, malt extract medium,EDTA,Citric Acid,Tween 80 and also the two different temperature parameters i.e. 37and40 degree celsius were studied.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Removal of Cr(Vl) is important for the safety of aqueous environment, it being carcinogenic and toxic to aquatic life. Various methods used for removal of Chromium ions include chemical reduction and precipitation, reverse osmosis and ion exchange and adsor.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 574 pp. Englisch.