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Guide to NoSQL with Azure Cosmos DB : work with the massively scalable Azure database service with JSON, C#, LINQ, and .NET Core 2 / / Gastón C. Hillar, Daron Yöndem
| Guide to NoSQL with Azure Cosmos DB : work with the massively scalable Azure database service with JSON, C#, LINQ, and .NET Core 2 / / Gastón C. Hillar, Daron Yöndem |
| Autore | Hillar Gastón C (Gastón Carlos) |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, UK : , : Packt Publishing Ltd., , 2018 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Soggetto topico |
Non-relational databases
Information storage and retrieval systems |
| ISBN | 1-78961-896-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910793115003321 |
Hillar Gastón C (Gastón Carlos)
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| Birmingham, UK : , : Packt Publishing Ltd., , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Guide to NoSQL with Azure Cosmos DB : work with the massively scalable Azure database service with JSON, C#, LINQ, and .NET Core 2 / / Gastón C. Hillar, Daron Yöndem
| Guide to NoSQL with Azure Cosmos DB : work with the massively scalable Azure database service with JSON, C#, LINQ, and .NET Core 2 / / Gastón C. Hillar, Daron Yöndem |
| Autore | Hillar Gastón C (Gastón Carlos) |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, UK : , : Packt Publishing Ltd., , 2018 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Soggetto topico |
Non-relational databases
Information storage and retrieval systems |
| ISBN | 1-78961-896-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910827199003321 |
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Hillar Gastón C (Gastón Carlos)
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| Birmingham, UK : , : Packt Publishing Ltd., , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Introducción a Las Bases de Datos NoSQL Usando MongoDB / / Antonio Sarasa Cabezuelo
| Introducción a Las Bases de Datos NoSQL Usando MongoDB / / Antonio Sarasa Cabezuelo |
| Autore | Sarasa Cabezuelo Antonio |
| Pubbl/distr/stampa | Barcelona : , : Editorial UOC, , [2016] |
| Descrizione fisica | 1 online resource (306 páginas) |
| Disciplina | 005.3 |
| Collana | Manuales |
| Soggetto topico |
Non-relational databases
Object-oriented databases |
| ISBN | 84-9116-250-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Record Nr. | UNINA-9910798900203321 |
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Sarasa Cabezuelo Antonio
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| Barcelona : , : Editorial UOC, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Introducción a Las Bases de Datos NoSQL Usando MongoDB / / Antonio Sarasa Cabezuelo
| Introducción a Las Bases de Datos NoSQL Usando MongoDB / / Antonio Sarasa Cabezuelo |
| Autore | Sarasa Cabezuelo Antonio |
| Pubbl/distr/stampa | Barcelona : , : Editorial UOC, , [2016] |
| Descrizione fisica | 1 online resource (306 páginas) |
| Disciplina | 005.3 |
| Collana | Manuales |
| Soggetto topico |
Non-relational databases
Object-oriented databases |
| ISBN | 84-9116-250-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Record Nr. | UNINA-9910807740603321 |
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Sarasa Cabezuelo Antonio
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| Barcelona : , : Editorial UOC, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning Hunk : visualize and analyze your Hadoop data using Hunk / / Dmitry Anoshin, Sergey Sheypak
| Learning Hunk : visualize and analyze your Hadoop data using Hunk / / Dmitry Anoshin, Sergey Sheypak |
| Autore | Anoshin Dmitry |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2015 |
| Descrizione fisica | 1 online resource (156 p.) |
| Collana | Community experience distilled |
| Soggetto topico |
Big data
Non-relational databases |
| ISBN | 1-78528-302-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Meet Hunk; Big data analytics; The big problem; The elegant solution; Supporting SPL; Intermediate results; Getting to know Hunk; Splunk versus Hunk; Hunk architecture; Connecting to Hadoop; Advance Hunk deployment; Native versus virtual indexes; Native indexes; Virtual index; External result provider; Computation models; Data streaming; Data reporting; Mixed mode; Hunk security; One Hunk user to one Hadoop user; Many Hunk users to one Hadoop user
Hunk user(s) to the same Hadoop user with different queuesSetting up Hadoop; Starting and using a virtual machine with CDH5; SSH user; MySQL; Starting the VM and cluster in VirtualBox; Big data use case; Importing data from RDBMS to Hadoop using Sqoop; Telecommunications - SMS, Call, and Internet dataset from dandelion.eu; Milano grid map; CDR aggregated data import process; Periodical data import from MySQL using Sqoop and Oozie; Problems to solve; Summary; Chapter 2: Explore Hadoop Data with Hunk; Setting up Hunk; Extracting Hunk to a VM; Setting up Hunk variables and configuration files Running Hunk for the first timeSetting up a data provider and virtual index for CDR data; Setting up a connection to Hadoop; Setting up a virtual index for data stored in Hadoop; Accessing data through a virtual index; Exploring data; Creating reports; The top five browsers report; Top referrers; Site errors report; Creating alerts; Creating a dashboard; Controlling security with Hunk; The default Hadoop security; One Hunk user to one Hadoop user; Summary; Chapter 3: Meeting Hunk Features; Knowledge objects; Field aliases; Calculated fields; Field extractions; Tags; Event type Workflow actionsMacros; Data model; Add auto-extracting fields; Adding GeoIP attributes; Other ways to add attributes; Introducing Pivot; Summary; Chapter 4: Adding Speed to Reports; Big data performance issues; Hunk report acceleration; Creating a virtual index; Streaming mode; Creating an acceleration search; What's going on in Hadoop?; Report acceleration summaries; Reviewing summary details; Managing report accelerations; Hunk accelerations limits; Summary; Chapter 5: Customizing Hunk; What we are going to do with the Splunk SDK; Supported languages; Solving problems; REST API The implementation planThe conclusion; Dashboard customization using Splunk Web Framework; Functionality; A description of time-series aggregated CDR data; Source data; Creating a virtual index for Milano CDR; Creating a virtual index for the Milano grid; Creating a virtual index using sample data; Implementation; Querying the visualization; Downloading the application; Custom Google Maps; Page layout; Linear gradients and bins for the activity value; Custom map components; Other components; The final result; Summary; Chapter 6: Discovering Hunk Integration Apps; What is Mongo?; Installation Installing the Mongo app |
| Record Nr. | UNINA-9910797960003321 |
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Anoshin Dmitry
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| Birmingham : , : Packt Publishing, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning Hunk : visualize and analyze your Hadoop data using Hunk / / Dmitry Anoshin, Sergey Sheypak
| Learning Hunk : visualize and analyze your Hadoop data using Hunk / / Dmitry Anoshin, Sergey Sheypak |
| Autore | Anoshin Dmitry |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2015 |
| Descrizione fisica | 1 online resource (156 p.) |
| Collana | Community experience distilled |
| Soggetto topico |
Big data
Non-relational databases |
| ISBN | 1-78528-302-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Meet Hunk; Big data analytics; The big problem; The elegant solution; Supporting SPL; Intermediate results; Getting to know Hunk; Splunk versus Hunk; Hunk architecture; Connecting to Hadoop; Advance Hunk deployment; Native versus virtual indexes; Native indexes; Virtual index; External result provider; Computation models; Data streaming; Data reporting; Mixed mode; Hunk security; One Hunk user to one Hadoop user; Many Hunk users to one Hadoop user
Hunk user(s) to the same Hadoop user with different queuesSetting up Hadoop; Starting and using a virtual machine with CDH5; SSH user; MySQL; Starting the VM and cluster in VirtualBox; Big data use case; Importing data from RDBMS to Hadoop using Sqoop; Telecommunications - SMS, Call, and Internet dataset from dandelion.eu; Milano grid map; CDR aggregated data import process; Periodical data import from MySQL using Sqoop and Oozie; Problems to solve; Summary; Chapter 2: Explore Hadoop Data with Hunk; Setting up Hunk; Extracting Hunk to a VM; Setting up Hunk variables and configuration files Running Hunk for the first timeSetting up a data provider and virtual index for CDR data; Setting up a connection to Hadoop; Setting up a virtual index for data stored in Hadoop; Accessing data through a virtual index; Exploring data; Creating reports; The top five browsers report; Top referrers; Site errors report; Creating alerts; Creating a dashboard; Controlling security with Hunk; The default Hadoop security; One Hunk user to one Hadoop user; Summary; Chapter 3: Meeting Hunk Features; Knowledge objects; Field aliases; Calculated fields; Field extractions; Tags; Event type Workflow actionsMacros; Data model; Add auto-extracting fields; Adding GeoIP attributes; Other ways to add attributes; Introducing Pivot; Summary; Chapter 4: Adding Speed to Reports; Big data performance issues; Hunk report acceleration; Creating a virtual index; Streaming mode; Creating an acceleration search; What's going on in Hadoop?; Report acceleration summaries; Reviewing summary details; Managing report accelerations; Hunk accelerations limits; Summary; Chapter 5: Customizing Hunk; What we are going to do with the Splunk SDK; Supported languages; Solving problems; REST API The implementation planThe conclusion; Dashboard customization using Splunk Web Framework; Functionality; A description of time-series aggregated CDR data; Source data; Creating a virtual index for Milano CDR; Creating a virtual index for the Milano grid; Creating a virtual index using sample data; Implementation; Querying the visualization; Downloading the application; Custom Google Maps; Page layout; Linear gradients and bins for the activity value; Custom map components; Other components; The final result; Summary; Chapter 6: Discovering Hunk Integration Apps; What is Mongo?; Installation Installing the Mongo app |
| Record Nr. | UNINA-9910821609303321 |
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Anoshin Dmitry
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| Birmingham : , : Packt Publishing, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mastering DynamoDB : master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability / / Tanmay Deshpande ; foreword by Constancio Fernandes, Sr. ; cover image by Pratyush Mohanta
| Mastering DynamoDB : master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability / / Tanmay Deshpande ; foreword by Constancio Fernandes, Sr. ; cover image by Pratyush Mohanta |
| Autore | Deshpande Tanmay |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 005.75 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Non-relational databases
SQL (Computer program language) |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78355-196-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910458695003321 |
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Deshpande Tanmay
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| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mastering DynamoDB : master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability / / Tanmay Deshpande ; foreword by Constancio Fernandes, Sr. ; cover image by Pratyush Mohanta
| Mastering DynamoDB : master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability / / Tanmay Deshpande ; foreword by Constancio Fernandes, Sr. ; cover image by Pratyush Mohanta |
| Autore | Deshpande Tanmay |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 005.75 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Non-relational databases
SQL (Computer program language) |
| ISBN | 1-78355-196-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910791296203321 |
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Deshpande Tanmay
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| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mastering DynamoDB : master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability / / Tanmay Deshpande ; foreword by Constancio Fernandes, Sr. ; cover image by Pratyush Mohanta
| Mastering DynamoDB : master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability / / Tanmay Deshpande ; foreword by Constancio Fernandes, Sr. ; cover image by Pratyush Mohanta |
| Autore | Deshpande Tanmay |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2014 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 005.75 |
| Collana | Community Experience Distilled |
| Soggetto topico |
Non-relational databases
SQL (Computer program language) |
| ISBN | 1-78355-196-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910826185203321 |
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Deshpande Tanmay
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| Birmingham, England : , : Packt Publishing, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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MongoDB cookbook : over 80 comprehensive recipes that will help you master the art of using and administering MongoDB 3 / / Cyrus Dasadia, Amol Nayak
| MongoDB cookbook : over 80 comprehensive recipes that will help you master the art of using and administering MongoDB 3 / / Cyrus Dasadia, Amol Nayak |
| Autore | Dasadia Cyrus |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2016 |
| Descrizione fisica | 1 online resource (371 p.) |
| Collana | Quick answers to common problems |
| Soggetto topico | Non-relational databases |
| ISBN | 1-78528-682-X |
| 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: Installing and Starting the Server; Introduction; Installing single node MongoDB; Starting a single node instance using command-line options; Single node installation of MongoDB with options from the config file; Connecting to a single node in the Mongo shell with JavaScript; Connecting to a single node using a Java client; Connecting to a single node using a Python client; Starting multiple instances as part of a replica set
Connecting to the replica set in the shell to query and insert dataConnecting to the replica set to query and insert data from a Java client; Connecting to the replica set to query and insert data using a Python client; Starting a simple sharded environment of two shards; Connecting to a shard in the shell and performing operations; Chapter 2: Command-line Operations and Indexes; Introduction; Creating test data; Performing simple querying, projections, and pagination from Mongo shell; Updating and deleting data from the shell; Creating index and viewing plans of queries Creating a background and foreground index in the shellCreating and understanding sparse indexes; Expiring documents after a fixed interval using the TTL index; Expiring documents at a given time using the TTL index; Chapter 3: Programming Language Drivers; Introduction; Executing query and insert operations with PyMongo; Executing update and delete operations using PyMongo; Implementing aggregation in Mongo using PyMongo; Executing MapReduce in Mongo using PyMongo; Executing query and insert operations using a Java client; Executing update and delete operations using a Java client Implementing aggregation in Mongo using a Java clientExecuting MapReduce in Mongo using a Java client; Chapter 4: Administration; Introduction; Renaming a collection; Viewing collection stats; Viewing database stats; Manually padding a document; The mongostat and mongotop utilities; Getting current executing operations and killing them; Using profiler to profile operations; Setting up users in Mongo; Interprocess security in Mongo; Modifying collection behavior using the collMod command; Setting up MongoDB as a windows service; Replica set configurations Stepping down as primary from the replica setExploring the local database of a replica set; Understanding and analyzing oplogs; Building tagged replica sets; Configuring the default shard for non-sharded collections; Manual split and migration of chunks; Domain-driven sharding using tags; Exploring the config database in a sharded setup; Chapter 5: Advanced Operations; Introduction; Atomic find and modify operations; Implementing atomic counters in Mongo; Implementing server-side scripts; Creating and tailing a capped collection cursors in MongoDB Converting a normal collection to a capped collection |
| Record Nr. | UNINA-9910798034903321 |
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Dasadia Cyrus
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| Birmingham : , : Packt Publishing, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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