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2021 4th International Conference on Data Storage and Data Engineering / / Association for Computing Machinery
| 2021 4th International Conference on Data Storage and Data Engineering / / Association for Computing Machinery |
| Pubbl/distr/stampa | New York NY : , : Association for Computing Machinery, , 2021 |
| Descrizione fisica | 1 online resource (165 pages) |
| Disciplina | 004.2 |
| Soggetto topico | Data flow computing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510454503321 |
| New York NY : , : Association for Computing Machinery, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2021 7th International Conference on Computing and Data Engineering / / Association for Computing Machinery
| 2021 7th International Conference on Computing and Data Engineering / / Association for Computing Machinery |
| Pubbl/distr/stampa | New York NY : , : Association for Computing Machinery, , 2021 |
| Descrizione fisica | 1 online resource (110 pages) |
| Disciplina | 004.2 |
| Soggetto topico | Data flow computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510454403321 |
| New York NY : , : Association for Computing Machinery, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fundamentals of stream processing : application design, systems, and analytics / Henrique C.M. Andrade, Buğra Gedik, Deepak S. Turaga
| Fundamentals of stream processing : application design, systems, and analytics / Henrique C.M. Andrade, Buğra Gedik, Deepak S. Turaga |
| Autore | Andrade, Henrique C. M. |
| Pubbl/distr/stampa | Cambridge, UK ; New York : Cambridge University Press, 2014 |
| Descrizione fisica | xxvii,529 p. : ill. ; 25 cm |
| Disciplina | 004.22 |
| Altri autori (Persone) |
Gedik, Buğra, author
Turaga, Deepak S. |
| Soggetto topico |
Data flow computing
SIMD (Computer architecture) |
| ISBN | 9781107015548 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991002554389707536 |
Andrade, Henrique C. M.
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| Cambridge, UK ; New York : Cambridge University Press, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Real-time analytics : techniques to analyze and visualize streaming data / / Byron Ellis
| Real-time analytics : techniques to analyze and visualize streaming data / / Byron Ellis |
| Autore | Ellis Byron |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (841 p.) |
| Disciplina | 025.04 |
| Soggetto topico |
Real-time data processing
Data flow computing Data mining |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-83802-5
1-118-83793-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Chapter 1: Introduction to Streaming Data; Sources of Streaming Data; Why Streaming Data Is Different; Infrastructures and Algorithms; Conclusion; Part I: Streaming A Analytics Architecture; Chapter 2: Designing Real-Time Streaming Architectures; Real-Time Architecture Components; Features of a Real-Time Architecture; Languages for Real-Time Programming; A Real-Time Architecture Checklist; Conclusion; Chapter 3: Service Configuration and Coordination; Motivation for Configuration and Coordination Systems; Maintaining Distributed State; Apache ZooKeeper; Conclusion
Chapter 4: Data-Flow Management in Streaming Analysis Distributed Data Flows; Apache Kafka: High-Throughput Distributed Messaging; Apache Flume: Distributed Log Collection; Conclusion; Chapter 5: Processing Streaming Data; Distributed Streaming Data Processing; Processing Data with Storm; Processing Data with Samza; Conclusion; Chapter 6: Storing Streaming Data; Consistent Hashing; "NoSQL" Storage Systems; Other Storage Technologies; Choosing a Technology; Warehousing; Conclusion; Part II: Analysis and Visualization; Chapter 7: Delivering Streaming Metrics; Streaming Web Applications Visualizing Data Mobile Streaming Applications; Conclusion; Chapter 8: Exact Aggregation and Delivery; Timed Counting and Summation; Multi-Resolution Time-Series Aggregation; Stochastic Optimization; Delivering Time-Series Data; Conclusion; Chapter 9: Statistical Approximation of Streaming Data; Numerical Libraries; Probabilities and Distributions; Working with Distributions; Random Number Generation; Sampling Procedures; Conclusion; Chapter 10: Approximating Streaming Data with Sketching; Registers and Hash Functions; Working with Sets; The Bloom Filter; Distinct Value Sketches The Count-Min Sketch Other Applications; Conclusion; Chapter 11: Beyond Aggregation; Models for Real-Time Data; Forecasting with Models; Monitoring; Real-Time Optimization; Conclusion; Introduction; Overview and Organization of This Book; Who Should Read This Book; Tools You Will Need; What''s on the Website; Time to Dive In; End User License Agreement |
| Record Nr. | UNINA-9910464715103321 |
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Ellis Byron
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||
| Indianapolis, Indiana : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Real-time analytics : techniques to analyze and visualize streaming data / / Byron Ellis
| Real-time analytics : techniques to analyze and visualize streaming data / / Byron Ellis |
| Autore | Ellis Byron |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (841 p.) |
| Disciplina | 025.04 |
| Soggetto topico |
Real-time data processing
Data flow computing Data mining |
| ISBN |
1-118-83802-5
1-118-83793-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Chapter 1: Introduction to Streaming Data; Sources of Streaming Data; Why Streaming Data Is Different; Infrastructures and Algorithms; Conclusion; Part I: Streaming A Analytics Architecture; Chapter 2: Designing Real-Time Streaming Architectures; Real-Time Architecture Components; Features of a Real-Time Architecture; Languages for Real-Time Programming; A Real-Time Architecture Checklist; Conclusion; Chapter 3: Service Configuration and Coordination; Motivation for Configuration and Coordination Systems; Maintaining Distributed State; Apache ZooKeeper; Conclusion
Chapter 4: Data-Flow Management in Streaming Analysis Distributed Data Flows; Apache Kafka: High-Throughput Distributed Messaging; Apache Flume: Distributed Log Collection; Conclusion; Chapter 5: Processing Streaming Data; Distributed Streaming Data Processing; Processing Data with Storm; Processing Data with Samza; Conclusion; Chapter 6: Storing Streaming Data; Consistent Hashing; "NoSQL" Storage Systems; Other Storage Technologies; Choosing a Technology; Warehousing; Conclusion; Part II: Analysis and Visualization; Chapter 7: Delivering Streaming Metrics; Streaming Web Applications Visualizing Data Mobile Streaming Applications; Conclusion; Chapter 8: Exact Aggregation and Delivery; Timed Counting and Summation; Multi-Resolution Time-Series Aggregation; Stochastic Optimization; Delivering Time-Series Data; Conclusion; Chapter 9: Statistical Approximation of Streaming Data; Numerical Libraries; Probabilities and Distributions; Working with Distributions; Random Number Generation; Sampling Procedures; Conclusion; Chapter 10: Approximating Streaming Data with Sketching; Registers and Hash Functions; Working with Sets; The Bloom Filter; Distinct Value Sketches The Count-Min Sketch Other Applications; Conclusion; Chapter 11: Beyond Aggregation; Models for Real-Time Data; Forecasting with Models; Monitoring; Real-Time Optimization; Conclusion; Introduction; Overview and Organization of This Book; Who Should Read This Book; Tools You Will Need; What''s on the Website; Time to Dive In; End User License Agreement |
| Record Nr. | UNINA-9910786693703321 |
|
Ellis Byron
|
||
| Indianapolis, Indiana : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Real-time analytics : techniques to analyze and visualize streaming data / / Byron Ellis
| Real-time analytics : techniques to analyze and visualize streaming data / / Byron Ellis |
| Autore | Ellis Byron |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (841 p.) |
| Disciplina | 025.04 |
| Soggetto topico |
Real-time data processing
Data flow computing Data mining |
| ISBN |
1-118-83802-5
1-118-83793-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Chapter 1: Introduction to Streaming Data; Sources of Streaming Data; Why Streaming Data Is Different; Infrastructures and Algorithms; Conclusion; Part I: Streaming A Analytics Architecture; Chapter 2: Designing Real-Time Streaming Architectures; Real-Time Architecture Components; Features of a Real-Time Architecture; Languages for Real-Time Programming; A Real-Time Architecture Checklist; Conclusion; Chapter 3: Service Configuration and Coordination; Motivation for Configuration and Coordination Systems; Maintaining Distributed State; Apache ZooKeeper; Conclusion
Chapter 4: Data-Flow Management in Streaming Analysis Distributed Data Flows; Apache Kafka: High-Throughput Distributed Messaging; Apache Flume: Distributed Log Collection; Conclusion; Chapter 5: Processing Streaming Data; Distributed Streaming Data Processing; Processing Data with Storm; Processing Data with Samza; Conclusion; Chapter 6: Storing Streaming Data; Consistent Hashing; "NoSQL" Storage Systems; Other Storage Technologies; Choosing a Technology; Warehousing; Conclusion; Part II: Analysis and Visualization; Chapter 7: Delivering Streaming Metrics; Streaming Web Applications Visualizing Data Mobile Streaming Applications; Conclusion; Chapter 8: Exact Aggregation and Delivery; Timed Counting and Summation; Multi-Resolution Time-Series Aggregation; Stochastic Optimization; Delivering Time-Series Data; Conclusion; Chapter 9: Statistical Approximation of Streaming Data; Numerical Libraries; Probabilities and Distributions; Working with Distributions; Random Number Generation; Sampling Procedures; Conclusion; Chapter 10: Approximating Streaming Data with Sketching; Registers and Hash Functions; Working with Sets; The Bloom Filter; Distinct Value Sketches The Count-Min Sketch Other Applications; Conclusion; Chapter 11: Beyond Aggregation; Models for Real-Time Data; Forecasting with Models; Monitoring; Real-Time Optimization; Conclusion; Introduction; Overview and Organization of This Book; Who Should Read This Book; Tools You Will Need; What''s on the Website; Time to Dive In; End User License Agreement |
| Record Nr. | UNINA-9910814081903321 |
|
Ellis Byron
|
||
| Indianapolis, Indiana : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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