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Dynamic Oracle Performance Analytics by Cornejo (19 results)
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed
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Dynamic Oracle Performance Analytics : Using Normalized Metrics to Improve Database Speed
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Add to basketPaperback. Condition: Brand New. 224 pages. 9.00x6.00x0.75 inches. In Stock.
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Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed
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Dynamic Oracle Performance Analytics : Using Normalized Metrics to Improve Database Speed
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Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed
Language: English
Published by Apress, Incorporated, 2018
ISBN 10: 1484241363 ISBN 13: 9781484241363
Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Dynamic Oracle Performance Analytics | Using Normalized Metrics to Improve Database Speed | Roger Cornejo | Taschenbuch | xxi | Englisch | 2018 | Apress | EAN 9781484241363 | 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.
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Condition: new. Questo è un articolo print on demand.
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Dynamic Oracle Performance Analytics
Language: English
Published by APRESS L.P. Dez 2018, 2018
ISBN 10: 1484241363 ISBN 13: 9781484241363
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Use an innovative approach that relies on big data and advanced analytical techniques to analyze and improve Oracle Database performance. The approach used in this book represents a step-change paradigm shift away from traditional methods. Instead of relying on a few hand-picked, favorite metrics, or wading through multiple specialized tables of information such as those found in an automatic workload repository (AWR) report, you will draw on all available data, applying big data methods and analytical techniques to help the performance tuner draw impactful, focused performance improvement conclusions.This book briefly reviews past and present practices, along with available tools, to help you recognize areas where improvements can be made. The book then guides you through a step-by-step method that can be used to take advantage of all available metrics to identify problem areas and work toward improving them. The method presented simplifies the tuning process and solves the problem of metric overload.You will learn how to: collect and normalize data, generate deltas that are useful in performing statistical analysis, create and use a taxonomy to enhance your understanding of problem performance areas in your database and its applications, and create a root cause analysis report that enables understanding of a specific performance problem and its likely solutions.What You'll LearnCollect and prepare metrics for analysis from a wide array of sourcesApply statistical techniques to select relevant metricsCreate a taxonomy to provide additional insight into problem areasProvide a metrics-based root cause analysis regarding the performance issueGenerate an actionable tuning plan prioritized according to problem areasMonitor performance using database-specific normal ranges Who This Book Is ForProfessional tuners: responsible for maintaining the efficient operation of large-scale databases who wish to focus on analysis, who want to expand their repertoire to include a big data methodology and use metrics without being overwhelmed, who desire to provide accurate root cause analysis and avoid the cyclical fix-test cycles that are inevitable when speculation is used 224 pp. Englisch.
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Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed
Language: English
Published by Apress, Incorporated, 2018
ISBN 10: 1484241363 ISBN 13: 9781484241363
Condition: New. Print on Demand.
-
Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed
Language: English
Published by Apress, Incorporated, 2018
ISBN 10: 1484241363 ISBN 13: 9781484241363
Condition: New. PRINT ON DEMAND.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. IOUG Press|Presents a dynamic process that overcomes limitations of older tuning approachesThe process in this book does not rely on AWR, and can be applied in any databaseThe method draws from big data techniques to .
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Dynamic Oracle Performance Analytics
Language: English
Published by Apress, Apress Dez 2018, 2018
ISBN 10: 1484241363 ISBN 13: 9781484241363
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -What You'll LearnSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 224 pp. Englisch.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Use an innovative approach that relies on big data and advanced analytical techniques to analyze and improve Oracle Database performance. The approach used in this book represents a step-change paradigm shift away from traditional methods. Instead of relying on a few hand-picked, favorite metrics, or wading through multiple specialized tables of information such as those found in an automatic workload repository (AWR) report, you will draw on all available data, applying big data methods and analytical techniques to help the performance tuner draw impactful, focused performance improvement conclusions.This book briefly reviews past and present practices, along with available tools, to help you recognize areas where improvements can be made. The book then guides you through a step-by-step method that can be used to take advantage of all available metrics to identify problem areas and work toward improving them. The method presented simplifies the tuning process and solves the problem of metric overload.You will learn how to: collect and normalize data, generate deltas that are useful in performing statistical analysis, create and use a taxonomy to enhance your understanding of problem performance areas in your database and its applications, and create a root cause analysis report that enables understanding of a specific performance problem and its likely solutions.What You'll LearnCollect and prepare metrics for analysis from a wide array of sourcesApply statistical techniques to select relevant metricsCreate a taxonomy to provide additional insight into problem areasProvide a metrics-based root cause analysis regarding the performance issueGenerate an actionable tuning plan prioritized according to problem areasMonitor performance using database-specific normal ranges Who This Book Is ForProfessional tuners: responsible for maintaining the efficient operation of large-scale databases who wish to focus on analysis, who want to expand their repertoire to include a big data methodology and use metrics without being overwhelmed, who desire to provide accurate root cause analysis and avoid the cyclical fix-test cycles that are inevitable when speculation is used.
