Google BigQuery Analytics [[electronic resource]] |
Autore | Tigani Jordan |
Pubbl/distr/stampa | Hoboken, : Wiley, 2014 |
Descrizione fisica | 1 online resource (530 p.) |
Disciplina | 006.3 |
Altri autori (Persone) | NaiduSiddartha |
Soggetto topico |
Google analytics
Google BigQuery Web usage mining |
Soggetto genere / forma | Electronic books. |
ISBN | 1-118-82487-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Part I BigQuery Fundamentals; Chapter 1 The Story of Big Data at Google; Big Data Stack 1.0; Big Data Stack 2.0 (and Beyond); Open Source Stack; Google Cloud Platform; Cloud Processing; Cloud Storage; Cloud Analytics; Problem Statement; What Is Big Data?; Why Big Data?; Why Do You Need New Ways to Process Big Data?; How Can You Read a Terabyte in a Second?; What about MapReduce?; How Can You Ask Questions of Your Big Data and Quickly Get Answers?; Summary; Chapter 2 BigQuery Fundamentals; What Is BigQuery?; SQL Queries over Big Data
Cloud Storage SystemDistributed Cloud Computing; Analytics as a Service (AaaS?); What BigQuery Isn't; BigQuery Technology Stack; Google Cloud Platform; BigQuery Service History; BigQuery Sensors Application; Sensor Client Android App; BigQuery Sensors AppEngine App; Running Ad-Hoc Queries; Summary; Chapter 3 Getting Started with BigQuery; Creating a Project; Google APIs Console; Free Tier Limitations and Billing; Running Your First Query; Loading Data; Using the Command-Line Client; Install and Setup; Using the Client; Service Account Access; Setting Up Google Cloud Storage Development EnvironmentPython Libraries; Java Libraries; Additional Tools; Summary; Chapter 4 Understanding the BigQuery Object Model; Projects; Project Names; Project Billing; Project Access Control; Projects and AppEngine; BigQuery Data; Naming in BigQuery; Schemas; Tables; Datasets; Jobs; Job Components; BigQuery Billing and Quotas; Storage Costs; Processing Costs; Query RPCs; TableData.insertAll() RPCs; Data Model for End-to-End Application; Project; Datasets; Tables; Summary; Part II Basic BigQuery; Chapter 5 Talking to the BigQuery API; Introduction to Google APIs Authenticating API AccessRESTful Web Services for the SOAP-Less Masses; Discovering Google APIs; Common Operations; BigQuery REST Collections; Projects; Datasets; Tables; TableData; Jobs; BigQuery API Tour; Error Handling in BigQuery; Summary; Chapter 6 Loading Data; Bulk Loads; Moving Bytes; Destination Table; Data Formats; Errors; Limits and Quotas; Streaming Inserts; Summary; Chapter 7 Running Queries; BigQuery Query API; Query API Methods; Query API Features; Query Billing and Quotas; BigQuery Query Language; BigQuery SQL in Five Queries; Differences from Standard SQL; Summary Chapter 8 Putting It TogetherA Quick Tour; Mobile Client; Monitoring Service; Log Collection Service; Log Trampoline; Dashboard; Data Caching; Data Transformation; Web Client; Summary; Part III Advanced BigQuery; Chapter 9 Understanding Query Execution; Background; Storage Architecture; Colossus File System (CFS); ColumnIO; Durability and Availability; Query Processing; Dremel Serving Trees; Architecture Comparisons; Relational Databases; MapReduce; Summary; Chapter 10 Advanced Queries; Advanced SQL; Subqueries; Combining Tables: Implicit UNION and JOIN; Analytic and Windowing Functions BigQuery SQL Extensions |
Record Nr. | UNINA-9910464760703321 |
Tigani Jordan | ||
Hoboken, : Wiley, 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Google BigQuery Analytics [[electronic resource]] |
Autore | Tigani Jordan |
Pubbl/distr/stampa | Hoboken, : Wiley, 2014 |
Descrizione fisica | 1 online resource (530 p.) |
Disciplina | 006.3 |
Altri autori (Persone) | NaiduSiddartha |
Soggetto topico |
Google analytics
Google BigQuery Web usage mining |
ISBN | 1-118-82487-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Part I BigQuery Fundamentals; Chapter 1 The Story of Big Data at Google; Big Data Stack 1.0; Big Data Stack 2.0 (and Beyond); Open Source Stack; Google Cloud Platform; Cloud Processing; Cloud Storage; Cloud Analytics; Problem Statement; What Is Big Data?; Why Big Data?; Why Do You Need New Ways to Process Big Data?; How Can You Read a Terabyte in a Second?; What about MapReduce?; How Can You Ask Questions of Your Big Data and Quickly Get Answers?; Summary; Chapter 2 BigQuery Fundamentals; What Is BigQuery?; SQL Queries over Big Data
Cloud Storage SystemDistributed Cloud Computing; Analytics as a Service (AaaS?); What BigQuery Isn't; BigQuery Technology Stack; Google Cloud Platform; BigQuery Service History; BigQuery Sensors Application; Sensor Client Android App; BigQuery Sensors AppEngine App; Running Ad-Hoc Queries; Summary; Chapter 3 Getting Started with BigQuery; Creating a Project; Google APIs Console; Free Tier Limitations and Billing; Running Your First Query; Loading Data; Using the Command-Line Client; Install and Setup; Using the Client; Service Account Access; Setting Up Google Cloud Storage Development EnvironmentPython Libraries; Java Libraries; Additional Tools; Summary; Chapter 4 Understanding the BigQuery Object Model; Projects; Project Names; Project Billing; Project Access Control; Projects and AppEngine; BigQuery Data; Naming in BigQuery; Schemas; Tables; Datasets; Jobs; Job Components; BigQuery Billing and Quotas; Storage Costs; Processing Costs; Query RPCs; TableData.insertAll() RPCs; Data Model for End-to-End Application; Project; Datasets; Tables; Summary; Part II Basic BigQuery; Chapter 5 Talking to the BigQuery API; Introduction to Google APIs Authenticating API AccessRESTful Web Services for the SOAP-Less Masses; Discovering Google APIs; Common Operations; BigQuery REST Collections; Projects; Datasets; Tables; TableData; Jobs; BigQuery API Tour; Error Handling in BigQuery; Summary; Chapter 6 Loading Data; Bulk Loads; Moving Bytes; Destination Table; Data Formats; Errors; Limits and Quotas; Streaming Inserts; Summary; Chapter 7 Running Queries; BigQuery Query API; Query API Methods; Query API Features; Query Billing and Quotas; BigQuery Query Language; BigQuery SQL in Five Queries; Differences from Standard SQL; Summary Chapter 8 Putting It TogetherA Quick Tour; Mobile Client; Monitoring Service; Log Collection Service; Log Trampoline; Dashboard; Data Caching; Data Transformation; Web Client; Summary; Part III Advanced BigQuery; Chapter 9 Understanding Query Execution; Background; Storage Architecture; Colossus File System (CFS); ColumnIO; Durability and Availability; Query Processing; Dremel Serving Trees; Architecture Comparisons; Relational Databases; MapReduce; Summary; Chapter 10 Advanced Queries; Advanced SQL; Subqueries; Combining Tables: Implicit UNION and JOIN; Analytic and Windowing Functions BigQuery SQL Extensions |
Record Nr. | UNINA-9910786556103321 |
Tigani Jordan | ||
Hoboken, : Wiley, 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Google BigQuery Analytics |
Autore | Tigani Jordan |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Hoboken, : Wiley, 2014 |
Descrizione fisica | 1 online resource (530 p.) |
Disciplina | 006.3 |
Altri autori (Persone) | NaiduSiddartha |
Soggetto topico |
Google analytics
Google BigQuery Web usage mining |
ISBN | 1-118-82487-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Part I BigQuery Fundamentals; Chapter 1 The Story of Big Data at Google; Big Data Stack 1.0; Big Data Stack 2.0 (and Beyond); Open Source Stack; Google Cloud Platform; Cloud Processing; Cloud Storage; Cloud Analytics; Problem Statement; What Is Big Data?; Why Big Data?; Why Do You Need New Ways to Process Big Data?; How Can You Read a Terabyte in a Second?; What about MapReduce?; How Can You Ask Questions of Your Big Data and Quickly Get Answers?; Summary; Chapter 2 BigQuery Fundamentals; What Is BigQuery?; SQL Queries over Big Data
Cloud Storage SystemDistributed Cloud Computing; Analytics as a Service (AaaS?); What BigQuery Isn't; BigQuery Technology Stack; Google Cloud Platform; BigQuery Service History; BigQuery Sensors Application; Sensor Client Android App; BigQuery Sensors AppEngine App; Running Ad-Hoc Queries; Summary; Chapter 3 Getting Started with BigQuery; Creating a Project; Google APIs Console; Free Tier Limitations and Billing; Running Your First Query; Loading Data; Using the Command-Line Client; Install and Setup; Using the Client; Service Account Access; Setting Up Google Cloud Storage Development EnvironmentPython Libraries; Java Libraries; Additional Tools; Summary; Chapter 4 Understanding the BigQuery Object Model; Projects; Project Names; Project Billing; Project Access Control; Projects and AppEngine; BigQuery Data; Naming in BigQuery; Schemas; Tables; Datasets; Jobs; Job Components; BigQuery Billing and Quotas; Storage Costs; Processing Costs; Query RPCs; TableData.insertAll() RPCs; Data Model for End-to-End Application; Project; Datasets; Tables; Summary; Part II Basic BigQuery; Chapter 5 Talking to the BigQuery API; Introduction to Google APIs Authenticating API AccessRESTful Web Services for the SOAP-Less Masses; Discovering Google APIs; Common Operations; BigQuery REST Collections; Projects; Datasets; Tables; TableData; Jobs; BigQuery API Tour; Error Handling in BigQuery; Summary; Chapter 6 Loading Data; Bulk Loads; Moving Bytes; Destination Table; Data Formats; Errors; Limits and Quotas; Streaming Inserts; Summary; Chapter 7 Running Queries; BigQuery Query API; Query API Methods; Query API Features; Query Billing and Quotas; BigQuery Query Language; BigQuery SQL in Five Queries; Differences from Standard SQL; Summary Chapter 8 Putting It TogetherA Quick Tour; Mobile Client; Monitoring Service; Log Collection Service; Log Trampoline; Dashboard; Data Caching; Data Transformation; Web Client; Summary; Part III Advanced BigQuery; Chapter 9 Understanding Query Execution; Background; Storage Architecture; Colossus File System (CFS); ColumnIO; Durability and Availability; Query Processing; Dremel Serving Trees; Architecture Comparisons; Relational Databases; MapReduce; Summary; Chapter 10 Advanced Queries; Advanced SQL; Subqueries; Combining Tables: Implicit UNION and JOIN; Analytic and Windowing Functions BigQuery SQL Extensions |
Record Nr. | UNINA-9910826921403321 |
Tigani Jordan | ||
Hoboken, : Wiley, 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
ICE.gov web analytics |
Pubbl/distr/stampa | [Washington, D.C.] : , : U.S. Immigration and Customs Enforcement, , 2013- |
Descrizione fisica | 1 online resource (volumes) : color illustrations |
Soggetto topico |
Internet users
Web usage mining |
Soggetto genere / forma | Statistics. |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | ICE.gov metrics |
Record Nr. | UNINA-9910716048203321 |
[Washington, D.C.] : , : U.S. Immigration and Customs Enforcement, , 2013- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The influence of technology on social network analysis and mining / / Tansel Ozyer ... [et al.], editors |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Wien ; ; New York, : Springer, 2013 |
Descrizione fisica | 1 online resource (651 p.) |
Disciplina | 302.3 |
Altri autori (Persone) | OzyerTansel |
Collana | Lecture notes in social networks |
Soggetto topico |
Online social networks
Web usage mining |
ISBN |
1-299-40748-X
3-7091-1346-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | EgoClustering: Overlapping Community Detection via Merged Friendship-Groups -- Optimization Techniques for Multiple Centrality Computations -- Application of social network metrics to a trust-aware collaborative model for generating personalized user recommendations -- TweCoM: topic and context mining from Twitter -- Pixel-Oriented Network Visualization. Static Visualization of Change in Social Networks -- Building Expert Recommenders from Email-Based Personal Social Networks -- A local structure-based method for nodes clustering. Application to a large mobile phone social network -- Virus Propagation Modeling in Facebook -- Comparing and visualizing the social spreading of products on a large social network -- Engagingness and Responsiveness Behavior Models on the Enron Email Network and its Application to Email Reply Order Prediction -- Efficient Extraction of High-Betweenness Vertices from Heterogeneous Networks -- Cross-Domain Analysis of the Blogosphere for Trend Prediction -- Informative Value of Individual and Relational Data Compared Through Business-Oriented Community Detection -- Clustering Social Networks Using Distance-Preserving Subgraph -- Extraction of Spatio-Temporal Data for Social Networks -- Detecting Communities in Massive Networks Efficiently with Flexible Resolution -- Detecting Emergent Behavior in Social Network of Agents -- Factors enabling information propagation in a Social Network Site -- Learning from the Past: An Analysis of Person Name Corrections in the DBLP Collection and Social Network Properties of Affected Entities -- Towards Leader based Recommendations -- Enhancing Child Safety in MMOs -- An Adaptive Framework for Discovery and Mining of User Profiles from Social Web-Based Interest Communities -- DB2SNA: an All-in-one Tool for Extraction and Aggregation of underlying Social Networks from Relational Databases -- Extending Social Network Analysis with Discourse Analysis - Combining Relational with Interpretive Data -- How Latent Class Models Matter to Social Network Analysis and Mining: Exploring the Emergence of Community -- Integrating Online Social Network Analysis in Personalized Web Search -- Evolution of Online Forum Communities -- Movie Rating Prediction with Matrix Factorization Algorithm. |
Record Nr. | UNINA-9910437566703321 |
Wien ; ; New York, : Springer, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mind+machine : a decision model for optimizing and implementing analytics / / Marc Vollenweider |
Autore | Vollenweider Marc |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
Descrizione fisica | 1 recurso electrónico (321 pages) : color illustrations, charts |
Disciplina | 006.312 |
Soggetto topico |
Web usage mining
Big data |
Soggetto genere / forma | Electronic books. |
ISBN |
1-119-30292-7
1-119-30297-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910136595203321 |
Vollenweider Marc | ||
Hoboken, New Jersey : , : Wiley, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mind+machine : a decision model for optimizing and implementing analytics / / Marc Vollenweider |
Autore | Vollenweider Marc |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
Descrizione fisica | 1 recurso electrónico (321 pages) : color illustrations, charts |
Disciplina | 006.312 |
Soggetto topico |
Web usage mining
Big data |
ISBN |
1-119-30292-7
1-119-30297-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910799001103321 |
Vollenweider Marc | ||
Hoboken, New Jersey : , : Wiley, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mind+machine : a decision model for optimizing and implementing analytics / / Marc Vollenweider |
Autore | Vollenweider Marc |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
Descrizione fisica | 1 recurso electrónico (321 pages) : color illustrations, charts |
Disciplina | 006.312 |
Soggetto topico |
Web usage mining
Big data |
ISBN |
1-119-30292-7
1-119-30297-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910824645203321 |
Vollenweider Marc | ||
Hoboken, New Jersey : , : Wiley, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mining eBay web services [[electronic resource] ] : building applications with the eBay API / / John Paul Mueller |
Autore | Mueller John <1958-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Alameda, CA, : Sybex, c2004 |
Descrizione fisica | 1 online resource (430 p.) |
Disciplina | 381/.177/0285676 |
Soggetto topico |
Internet auctions
Web services Web usage mining |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-52223-2
9786610522231 1-4175-3946-1 0-7821-5110-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Mining eBay Web Services: Building Applications with the eBay API; Front matter; Acknowledgments; Contents at a Glance; Contents; Introduction; Part I: Discovering eBay Web Services; Chapter 1: Learning about eBay Web Services; Understanding the eBay Web Services; Discovering Uses for the eBay Web Services; Downloading and Installing the Kit; System Setup Considerations; Your Call to Action; Chapter 2: Using eBay Web Services to Your Advantage; Knowing What to Expect As Output; Understanding the Certification Requirements; Working with Some Simple Examples
Manipulating Data to Meet Specific Needs Your Call to Action; Chapter 3: Defining a Search; Performing a Typical Search; Adding Search Conditions; Changing the Presentation; Localizing the Information; Your Call to Action; Chapter 4: Working with Web Service Data; Understanding XML Basics; Using XSLT for Presentation; Using the eBay API Test Tool; Creating Messages for eBay Using XML; Determining Where XML Fits into eBay Web Services; Understanding Privacy Issues; Understanding Security Issues; Your Call to Action; Part II: Writing eBay Web Services Programs Chapter 5: Starting the Development Process Choosing a Communication Method; Selecting a Platform; Selecting a Development Language; Understanding Internationalization Issues; Your Call to Action; Chapter 6: Writing Browser- Based Applications; Using JavaScript to Access eBay Web Services; Performing a Category Search; Your Call to Action; Understanding the Benefits of Using VBA; Chapter 7: Writing Applications Using VBA; Resources for Learning VBA; Understanding Scripting of Web Services; Developing with Microsoft Excel; Using Microsoft Access as a Database; Your Call to Action Chapter 8: Writing Applications Using Visual Studio Using Web Services from Any Visual Studio Version; Resources for Learning Visual Studio; Developing with Visual Basic 6; Developing with Visual Basic .NET; Developing with Visual C# .NET; Using SQL Server as a Database; Your Call to Action; Chapter 9: Writing Applications Using PHP; Resources for Learning PHP; Downloading and Installing PHP; Using the eBay PHP Example; Developing a PHP Application; Using MySQL as a Database; Writing a PHP Application with Database Support; Your Call to Action; Chapter 10: Writing Applications Using Java Understanding the Benefits of Using Java Resources for Learning Java; Understanding Java Browser Issues; Viewing the eBay-Supplied Code; Developing a Simple Java Application; Writing a Java Application Using the eBay Request Library; Your Call to Action; Chapter 11: Writing Applications for Mobile Devices; Understanding Mobile Device Limitations; Working with Emulators; Designing for Local or Remote Data Management; Developing for a Pocket PC; Developing for a Cellular Telephone or Palm-type Device; Your Call to Action; Part III: Refining Your eBay Web Services Program Chapter 12: Crafting Your Application |
Record Nr. | UNINA-9910457608703321 |
Mueller John <1958-> | ||
Alameda, CA, : Sybex, c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mining eBay web services [[electronic resource] ] : building applications with the eBay API / / John Paul Mueller |
Autore | Mueller John <1958-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Alameda, CA, : Sybex, c2004 |
Descrizione fisica | 1 online resource (430 p.) |
Disciplina | 381/.177/0285676 |
Soggetto topico |
Internet auctions
Web services Web usage mining |
ISBN |
1-280-52223-2
9786610522231 1-4175-3946-1 0-7821-5110-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Mining eBay Web Services: Building Applications with the eBay API; Front matter; Acknowledgments; Contents at a Glance; Contents; Introduction; Part I: Discovering eBay Web Services; Chapter 1: Learning about eBay Web Services; Understanding the eBay Web Services; Discovering Uses for the eBay Web Services; Downloading and Installing the Kit; System Setup Considerations; Your Call to Action; Chapter 2: Using eBay Web Services to Your Advantage; Knowing What to Expect As Output; Understanding the Certification Requirements; Working with Some Simple Examples
Manipulating Data to Meet Specific Needs Your Call to Action; Chapter 3: Defining a Search; Performing a Typical Search; Adding Search Conditions; Changing the Presentation; Localizing the Information; Your Call to Action; Chapter 4: Working with Web Service Data; Understanding XML Basics; Using XSLT for Presentation; Using the eBay API Test Tool; Creating Messages for eBay Using XML; Determining Where XML Fits into eBay Web Services; Understanding Privacy Issues; Understanding Security Issues; Your Call to Action; Part II: Writing eBay Web Services Programs Chapter 5: Starting the Development Process Choosing a Communication Method; Selecting a Platform; Selecting a Development Language; Understanding Internationalization Issues; Your Call to Action; Chapter 6: Writing Browser- Based Applications; Using JavaScript to Access eBay Web Services; Performing a Category Search; Your Call to Action; Understanding the Benefits of Using VBA; Chapter 7: Writing Applications Using VBA; Resources for Learning VBA; Understanding Scripting of Web Services; Developing with Microsoft Excel; Using Microsoft Access as a Database; Your Call to Action Chapter 8: Writing Applications Using Visual Studio Using Web Services from Any Visual Studio Version; Resources for Learning Visual Studio; Developing with Visual Basic 6; Developing with Visual Basic .NET; Developing with Visual C# .NET; Using SQL Server as a Database; Your Call to Action; Chapter 9: Writing Applications Using PHP; Resources for Learning PHP; Downloading and Installing PHP; Using the eBay PHP Example; Developing a PHP Application; Using MySQL as a Database; Writing a PHP Application with Database Support; Your Call to Action; Chapter 10: Writing Applications Using Java Understanding the Benefits of Using Java Resources for Learning Java; Understanding Java Browser Issues; Viewing the eBay-Supplied Code; Developing a Simple Java Application; Writing a Java Application Using the eBay Request Library; Your Call to Action; Chapter 11: Writing Applications for Mobile Devices; Understanding Mobile Device Limitations; Working with Emulators; Designing for Local or Remote Data Management; Developing for a Pocket PC; Developing for a Cellular Telephone or Palm-type Device; Your Call to Action; Part III: Refining Your eBay Web Services Program Chapter 12: Crafting Your Application |
Record Nr. | UNINA-9910784476603321 |
Mueller John <1958-> | ||
Alameda, CA, : Sybex, c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|