Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Storm blueprints : patterns for distributed real-time computation : use Storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases / / P. Taylor Goetz , Brian O'Neill ; cover image by Prashant Timappa Shetty
| Storm blueprints : patterns for distributed real-time computation : use Storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases / / P. Taylor Goetz , Brian O'Neill ; cover image by Prashant Timappa Shetty |
| Autore | Goetz P. Taylor |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 005.73 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Data structures (Computer science)
Real-time data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78216-830-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Distributed Word Count; Introducing elements of a Storm topology - streams, spouts, and bolts; Streams; Spouts; Bolts; Introducing the word count topology data flow; Sentence spout; Introducing the split sentence bolt; Introducing the word count bolt; Introducing the report bolt; Implementing the word count topology; Setting up a development environment; Implementing the sentence spout; Implementing the split sentence bolt; Implementing the word count bolt
Implementing the report boltImplementing the word count topology; Introducing parallelism in Storm; WordCountTopology parallelism; Adding workers to a topology; Configuring executors and tasks; Understanding stream groupings; Guaranteed processing; Reliability in spouts; Reliability in bolts; Reliable word count; Summary; Chapter 2: Configuring Storm Clusters; Introducing the anatomy of a Storm cluster; Understanding the nimbus daemon; Working with the supervisor daemon; Introducing Apache ZooKeeper; Working with Storm's DRPC server; Introducing the Storm UI Introducing the Storm technology stackJava and Clojure; Python; Installing Storm on Linux; Installing the base operating system; Installing Java; ZooKeeper installation; Storm installation; Running the Storm daemons; Configuring Storm; Mandatory settings; Optional settings; The Storm executable; Setting up the Storm executable on a workstation; The daemon commands; Nimbus; Supervisor; UI; DRPC; The management commands; Jar; Kill; Deactivate; Activate; Rebalance; Remoteconfvalue; Local debug/development commands; REPL; Classpath; Localconfvalue; Submitting topologies to a Storm cluster Automating the cluster configurationA rapid introduction to Puppet; Puppet manifests; Puppet classes and modules; Puppet templates; Managing environments with Puppet Hiera; Introducing Hiera; Summary; Chapter 3: Trident Topologies and Sensor Data; Examining our use case; Introducing Trident topologies; Introducing Trident spouts; Introducing Trident operations - filters and functions; Introducing Trident filters; Introducing Trident functions; Introducing Trident aggregators - Combiners and Reducers; CombinerAggregator; ReducerAggregator; Aggregator; Introducing the Trident state The Repeat Transactional stateThe Opaque state; Executing the topology; Summary; Chapter 4: Real-time Trend Analysis; Use case; Architecture; The source application; The logback Kafka appender; Apache Kafka; Kafka spout; The XMPP server; Installing the required software; Installing Kafka; Installing OpenFire; Introducing the sample application; Sending log messages to Kafka; Introducing the log analysis topology; Kafka spout; The JSON project function; Calculating a moving average; Adding a sliding window; Implementing the moving average function; Filtering on thresholds Sending notifications with XMPP |
| Record Nr. | UNINA-9910464940403321 |
Goetz P. Taylor
|
||
| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Storm blueprints : patterns for distributed real-time computation : use Storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases / / P. Taylor Goetz , Brian O'Neill ; cover image by Prashant Timappa Shetty
| Storm blueprints : patterns for distributed real-time computation : use Storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases / / P. Taylor Goetz , Brian O'Neill ; cover image by Prashant Timappa Shetty |
| Autore | Goetz P. Taylor |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 005.73 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Data structures (Computer science)
Real-time data processing |
| ISBN | 1-78216-830-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Distributed Word Count; Introducing elements of a Storm topology - streams, spouts, and bolts; Streams; Spouts; Bolts; Introducing the word count topology data flow; Sentence spout; Introducing the split sentence bolt; Introducing the word count bolt; Introducing the report bolt; Implementing the word count topology; Setting up a development environment; Implementing the sentence spout; Implementing the split sentence bolt; Implementing the word count bolt
Implementing the report boltImplementing the word count topology; Introducing parallelism in Storm; WordCountTopology parallelism; Adding workers to a topology; Configuring executors and tasks; Understanding stream groupings; Guaranteed processing; Reliability in spouts; Reliability in bolts; Reliable word count; Summary; Chapter 2: Configuring Storm Clusters; Introducing the anatomy of a Storm cluster; Understanding the nimbus daemon; Working with the supervisor daemon; Introducing Apache ZooKeeper; Working with Storm's DRPC server; Introducing the Storm UI Introducing the Storm technology stackJava and Clojure; Python; Installing Storm on Linux; Installing the base operating system; Installing Java; ZooKeeper installation; Storm installation; Running the Storm daemons; Configuring Storm; Mandatory settings; Optional settings; The Storm executable; Setting up the Storm executable on a workstation; The daemon commands; Nimbus; Supervisor; UI; DRPC; The management commands; Jar; Kill; Deactivate; Activate; Rebalance; Remoteconfvalue; Local debug/development commands; REPL; Classpath; Localconfvalue; Submitting topologies to a Storm cluster Automating the cluster configurationA rapid introduction to Puppet; Puppet manifests; Puppet classes and modules; Puppet templates; Managing environments with Puppet Hiera; Introducing Hiera; Summary; Chapter 3: Trident Topologies and Sensor Data; Examining our use case; Introducing Trident topologies; Introducing Trident spouts; Introducing Trident operations - filters and functions; Introducing Trident filters; Introducing Trident functions; Introducing Trident aggregators - Combiners and Reducers; CombinerAggregator; ReducerAggregator; Aggregator; Introducing the Trident state The Repeat Transactional stateThe Opaque state; Executing the topology; Summary; Chapter 4: Real-time Trend Analysis; Use case; Architecture; The source application; The logback Kafka appender; Apache Kafka; Kafka spout; The XMPP server; Installing the required software; Installing Kafka; Installing OpenFire; Introducing the sample application; Sending log messages to Kafka; Introducing the log analysis topology; Kafka spout; The JSON project function; Calculating a moving average; Adding a sliding window; Implementing the moving average function; Filtering on thresholds Sending notifications with XMPP |
| Record Nr. | UNINA-9910789272903321 |
|
Goetz P. Taylor
|
||
| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Storm blueprints : patterns for distributed real-time computation : use Storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases / / P. Taylor Goetz , Brian O'Neill ; cover image by Prashant Timappa Shetty
| Storm blueprints : patterns for distributed real-time computation : use Storm design patterns to perform distributed, real-time big data processing, and analytics for real-world use cases / / P. Taylor Goetz , Brian O'Neill ; cover image by Prashant Timappa Shetty |
| Autore | Goetz P. Taylor |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 005.73 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Data structures (Computer science)
Real-time data processing |
| ISBN | 1-78216-830-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Distributed Word Count; Introducing elements of a Storm topology - streams, spouts, and bolts; Streams; Spouts; Bolts; Introducing the word count topology data flow; Sentence spout; Introducing the split sentence bolt; Introducing the word count bolt; Introducing the report bolt; Implementing the word count topology; Setting up a development environment; Implementing the sentence spout; Implementing the split sentence bolt; Implementing the word count bolt
Implementing the report boltImplementing the word count topology; Introducing parallelism in Storm; WordCountTopology parallelism; Adding workers to a topology; Configuring executors and tasks; Understanding stream groupings; Guaranteed processing; Reliability in spouts; Reliability in bolts; Reliable word count; Summary; Chapter 2: Configuring Storm Clusters; Introducing the anatomy of a Storm cluster; Understanding the nimbus daemon; Working with the supervisor daemon; Introducing Apache ZooKeeper; Working with Storm's DRPC server; Introducing the Storm UI Introducing the Storm technology stackJava and Clojure; Python; Installing Storm on Linux; Installing the base operating system; Installing Java; ZooKeeper installation; Storm installation; Running the Storm daemons; Configuring Storm; Mandatory settings; Optional settings; The Storm executable; Setting up the Storm executable on a workstation; The daemon commands; Nimbus; Supervisor; UI; DRPC; The management commands; Jar; Kill; Deactivate; Activate; Rebalance; Remoteconfvalue; Local debug/development commands; REPL; Classpath; Localconfvalue; Submitting topologies to a Storm cluster Automating the cluster configurationA rapid introduction to Puppet; Puppet manifests; Puppet classes and modules; Puppet templates; Managing environments with Puppet Hiera; Introducing Hiera; Summary; Chapter 3: Trident Topologies and Sensor Data; Examining our use case; Introducing Trident topologies; Introducing Trident spouts; Introducing Trident operations - filters and functions; Introducing Trident filters; Introducing Trident functions; Introducing Trident aggregators - Combiners and Reducers; CombinerAggregator; ReducerAggregator; Aggregator; Introducing the Trident state The Repeat Transactional stateThe Opaque state; Executing the topology; Summary; Chapter 4: Real-time Trend Analysis; Use case; Architecture; The source application; The logback Kafka appender; Apache Kafka; Kafka spout; The XMPP server; Installing the required software; Installing Kafka; Installing OpenFire; Introducing the sample application; Sending log messages to Kafka; Introducing the log analysis topology; Kafka spout; The JSON project function; Calculating a moving average; Adding a sliding window; Implementing the moving average function; Filtering on thresholds Sending notifications with XMPP |
| Record Nr. | UNINA-9910813298803321 |
|
Goetz P. Taylor
|
||
| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||