Pentaho Analytics for MongoDB cookbook :: over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions /
Annotation
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2015.
|
| Schriftenreihe: | Quick answers to common problems.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Annotation |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource : illustrations |
| ISBN: | 9781783553280 1783553286 1783553278 9781783553273 |
Internformat
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| 245 | 1 | 0 | |a Pentaho Analytics for MongoDB cookbook : |b over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / |c Joel Latino, Harris Ward. |
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| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed May 3, 2016). | |
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| 520 | 8 | |a Annotation |b Over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutionsAbout This Book Create reports and stunning dashboards with MongoDB data Accelerate data access and maximize productivity with unique features of Pentaho for MongoDB A step-by-step recipe-based guide for making full use of Pentaho suite tools with MongoDBWho This Book Is ForThis book is intended for data architects and developers with a basic level of knowledge of MongoDB. Familiarity with Pentaho is not expected. What You Will Learn Extract, load, and transform data from MongoDB collections to other datasources Design Pentaho Reports using different types of connections for MongoDB Create a OLAP mondrian schema for MongoDB Explore your MongoDB data using Pentaho Analyzer Utilize the drag and drop web interface to create dashboards Use Kettle Thin JDBC with MongoDB for analysis Integrate advanced dashboards with MondoDB using different types of connections Publish and run a report on Pentaho BI server using a web interfaceIn DetailMongoDB is an open source, schemaless NoSQL database system. Pentaho as a famous open source Analysis tool provides high performance, high availability, and easy scalability for large sets of data. The variant features in Pentaho for MongoDB are designed to empower organizations to be more agile and scalable and also enables applications to have better flexibility, faster performance, and lower costs. Whether you are brand new to online learning or a seasoned expert, this book will provide you with the skills you need to create turnkey analytic solutions that deliver insight and drive value for your organization. The book will begin by taking you through Pentaho Data Integration and how it works with MongoDB. You will then be taken through the Kettle Thin JDBC Driver for enabling a Java application to interact with a database. This will be followed by exploration of a MongoDB collection using Pentaho Instant view and creating reports with MongoDB as a datasource using Pentaho Report Designer. The book will then teach you how to explore and visualize your data in Pentaho BI Server using Pentaho Analyzer. You will then learn how to create advanced dashboards with your data. The book concludes by highlighting contributions of the Pentaho Community. Style and approach A comprehensive, recipe-based guide to take complete advantage of the Pentaho Analytics for MongoDB. | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: PDI and MongoDB; Introduction; Learning basic operations with Pentaho Data Integration; Migrating data from the RDBMS to MongoDB; Loading data from MongoDB to MySQL; Migrating data from files to MongoDB; Exporting MongoDB data using the aggregation framework; MongoDB Map/Reduce using the User Defined Java Class step and MongoDB Java Driver; Working with jobs and filtering MongoDB data using parameters and variables; Chapter 2: The Thin Kettle JDBC Driver; Introduction. | |
| 505 | 8 | |a Using a transformation as a data serviceRunning the Carte server in a single instance; Running the Pentaho Data Integration server in a single instance; Define a connection using a SQL Client (SQuirreL SQL); Chapter 3: Pentaho Instaview; Introduction; Creating an analysis view; Modifying Instaview transformations; Modifying the Instaview model; Exploring, saving, deleting, and opening analysis reports; Chapter 4: A MongoDB OLAP Schema; Introduction; Creating a date dimension; Creating an Orders cube; Creating the customer and product dimensions; Saving and publishing a Mondrian schema. | |
| 505 | 8 | |a Creating a Mondrian 4 physical schemaCreating a Mondrian 4 cube; Publishing a Mondrian 4 schema; Chapter 5: Pentaho Reporting; Introduction; Copying the MongoDB JDBC library; Connecting to MongoDB using Reporting Wizard; Connecting to MongoDB via PDI; Adding a chart to a report; Adding parameters to a report; Adding a formula to a report; Grouping data in reports; Creating subreports; Creating a report with MongoDB via Java; Publishing a report to the Pentaho server; Running a report in the Pentaho Server; Chapter 6: The Pentaho BI Server; Introduction; Importing Foodmart MongoDB sample data. | |
| 505 | 8 | |a Creating a new analysis view using Pentaho AnalyzerCreating a dashboard using Pentaho Dashboard Designer; Chapter 7: Pentaho Dashboards; Introduction; Copying the MongoDB JDBC library; Importing a sample repository; Using a transformation data source; Using a BeanShell data source; Using Pentaho Analyzer for MongoDB data source; Using a Thin Kettle data source; Defining dashboard layouts; Creating a Dashboard Table component; Creating a Dashboard line chart component; Chapter 8: Pentaho Community Contributions; Introduction; PDI MongoDB Delete Step; PDI MongoDB GridFS Output Step. | |
| 505 | 8 | |a PDI MongoDB Map/Reduce Output stepPDI MongoDB Lookup step; Index. | |
| 630 | 0 | 0 | |a MongoDB. |0 http://id.loc.gov/authorities/names/no2011130709 |
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| 650 | 0 | |a Information visualization. |0 http://id.loc.gov/authorities/subjects/sh2002000243 | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Intégration de données (Informatique) | |
| 650 | 6 | |a Visualisation de l'information. | |
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| 700 | 1 | |a Ward, Harris, |e author. | |
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| contents | Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: PDI and MongoDB; Introduction; Learning basic operations with Pentaho Data Integration; Migrating data from the RDBMS to MongoDB; Loading data from MongoDB to MySQL; Migrating data from files to MongoDB; Exporting MongoDB data using the aggregation framework; MongoDB Map/Reduce using the User Defined Java Class step and MongoDB Java Driver; Working with jobs and filtering MongoDB data using parameters and variables; Chapter 2: The Thin Kettle JDBC Driver; Introduction. Using a transformation as a data serviceRunning the Carte server in a single instance; Running the Pentaho Data Integration server in a single instance; Define a connection using a SQL Client (SQuirreL SQL); Chapter 3: Pentaho Instaview; Introduction; Creating an analysis view; Modifying Instaview transformations; Modifying the Instaview model; Exploring, saving, deleting, and opening analysis reports; Chapter 4: A MongoDB OLAP Schema; Introduction; Creating a date dimension; Creating an Orders cube; Creating the customer and product dimensions; Saving and publishing a Mondrian schema. Creating a Mondrian 4 physical schemaCreating a Mondrian 4 cube; Publishing a Mondrian 4 schema; Chapter 5: Pentaho Reporting; Introduction; Copying the MongoDB JDBC library; Connecting to MongoDB using Reporting Wizard; Connecting to MongoDB via PDI; Adding a chart to a report; Adding parameters to a report; Adding a formula to a report; Grouping data in reports; Creating subreports; Creating a report with MongoDB via Java; Publishing a report to the Pentaho server; Running a report in the Pentaho Server; Chapter 6: The Pentaho BI Server; Introduction; Importing Foodmart MongoDB sample data. Creating a new analysis view using Pentaho AnalyzerCreating a dashboard using Pentaho Dashboard Designer; Chapter 7: Pentaho Dashboards; Introduction; Copying the MongoDB JDBC library; Importing a sample repository; Using a transformation data source; Using a BeanShell data source; Using Pentaho Analyzer for MongoDB data source; Using a Thin Kettle data source; Defining dashboard layouts; Creating a Dashboard Table component; Creating a Dashboard line chart component; Chapter 8: Pentaho Community Contributions; Introduction; PDI MongoDB Delete Step; PDI MongoDB GridFS Output Step. PDI MongoDB Map/Reduce Output stepPDI MongoDB Lookup step; Index. |
| ctrlnum | (OCoLC)935256968 |
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| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.312 |
| dewey-search | 006.312 |
| dewey-sort | 16.312 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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Familiarity with Pentaho is not expected. What You Will Learn Extract, load, and transform data from MongoDB collections to other datasources Design Pentaho Reports using different types of connections for MongoDB Create a OLAP mondrian schema for MongoDB Explore your MongoDB data using Pentaho Analyzer Utilize the drag and drop web interface to create dashboards Use Kettle Thin JDBC with MongoDB for analysis Integrate advanced dashboards with MondoDB using different types of connections Publish and run a report on Pentaho BI server using a web interfaceIn DetailMongoDB is an open source, schemaless NoSQL database system. Pentaho as a famous open source Analysis tool provides high performance, high availability, and easy scalability for large sets of data. The variant features in Pentaho for MongoDB are designed to empower organizations to be more agile and scalable and also enables applications to have better flexibility, faster performance, and lower costs. 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| id | ZDB-4-EBA-ocn935256968 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:27:00Z |
| institution | BVB |
| isbn | 9781783553280 1783553286 1783553278 9781783553273 |
| language | English |
| oclc_num | 935256968 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Packt Publishing, |
| record_format | marc |
| series | Quick answers to common problems. |
| series2 | Quick answers to common problems |
| spelling | Latino, Joel, author. Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / Joel Latino, Harris Ward. Birmingham : Packt Publishing, 2015. 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Quick answers to common problems Online resource; title from PDF title page (EBSCO, viewed May 3, 2016). Includes index. Annotation Over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutionsAbout This Book Create reports and stunning dashboards with MongoDB data Accelerate data access and maximize productivity with unique features of Pentaho for MongoDB A step-by-step recipe-based guide for making full use of Pentaho suite tools with MongoDBWho This Book Is ForThis book is intended for data architects and developers with a basic level of knowledge of MongoDB. Familiarity with Pentaho is not expected. What You Will Learn Extract, load, and transform data from MongoDB collections to other datasources Design Pentaho Reports using different types of connections for MongoDB Create a OLAP mondrian schema for MongoDB Explore your MongoDB data using Pentaho Analyzer Utilize the drag and drop web interface to create dashboards Use Kettle Thin JDBC with MongoDB for analysis Integrate advanced dashboards with MondoDB using different types of connections Publish and run a report on Pentaho BI server using a web interfaceIn DetailMongoDB is an open source, schemaless NoSQL database system. Pentaho as a famous open source Analysis tool provides high performance, high availability, and easy scalability for large sets of data. The variant features in Pentaho for MongoDB are designed to empower organizations to be more agile and scalable and also enables applications to have better flexibility, faster performance, and lower costs. Whether you are brand new to online learning or a seasoned expert, this book will provide you with the skills you need to create turnkey analytic solutions that deliver insight and drive value for your organization. The book will begin by taking you through Pentaho Data Integration and how it works with MongoDB. You will then be taken through the Kettle Thin JDBC Driver for enabling a Java application to interact with a database. This will be followed by exploration of a MongoDB collection using Pentaho Instant view and creating reports with MongoDB as a datasource using Pentaho Report Designer. The book will then teach you how to explore and visualize your data in Pentaho BI Server using Pentaho Analyzer. You will then learn how to create advanced dashboards with your data. The book concludes by highlighting contributions of the Pentaho Community. Style and approach A comprehensive, recipe-based guide to take complete advantage of the Pentaho Analytics for MongoDB. Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: PDI and MongoDB; Introduction; Learning basic operations with Pentaho Data Integration; Migrating data from the RDBMS to MongoDB; Loading data from MongoDB to MySQL; Migrating data from files to MongoDB; Exporting MongoDB data using the aggregation framework; MongoDB Map/Reduce using the User Defined Java Class step and MongoDB Java Driver; Working with jobs and filtering MongoDB data using parameters and variables; Chapter 2: The Thin Kettle JDBC Driver; Introduction. Using a transformation as a data serviceRunning the Carte server in a single instance; Running the Pentaho Data Integration server in a single instance; Define a connection using a SQL Client (SQuirreL SQL); Chapter 3: Pentaho Instaview; Introduction; Creating an analysis view; Modifying Instaview transformations; Modifying the Instaview model; Exploring, saving, deleting, and opening analysis reports; Chapter 4: A MongoDB OLAP Schema; Introduction; Creating a date dimension; Creating an Orders cube; Creating the customer and product dimensions; Saving and publishing a Mondrian schema. Creating a Mondrian 4 physical schemaCreating a Mondrian 4 cube; Publishing a Mondrian 4 schema; Chapter 5: Pentaho Reporting; Introduction; Copying the MongoDB JDBC library; Connecting to MongoDB using Reporting Wizard; Connecting to MongoDB via PDI; Adding a chart to a report; Adding parameters to a report; Adding a formula to a report; Grouping data in reports; Creating subreports; Creating a report with MongoDB via Java; Publishing a report to the Pentaho server; Running a report in the Pentaho Server; Chapter 6: The Pentaho BI Server; Introduction; Importing Foodmart MongoDB sample data. Creating a new analysis view using Pentaho AnalyzerCreating a dashboard using Pentaho Dashboard Designer; Chapter 7: Pentaho Dashboards; Introduction; Copying the MongoDB JDBC library; Importing a sample repository; Using a transformation data source; Using a BeanShell data source; Using Pentaho Analyzer for MongoDB data source; Using a Thin Kettle data source; Defining dashboard layouts; Creating a Dashboard Table component; Creating a Dashboard line chart component; Chapter 8: Pentaho Community Contributions; Introduction; PDI MongoDB Delete Step; PDI MongoDB GridFS Output Step. PDI MongoDB Map/Reduce Output stepPDI MongoDB Lookup step; Index. MongoDB. http://id.loc.gov/authorities/names/no2011130709 MongoDB fast Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data integration (Computer science) http://id.loc.gov/authorities/subjects/sh2010014388 Information visualization. http://id.loc.gov/authorities/subjects/sh2002000243 Exploration de données (Informatique) Intégration de données (Informatique) Visualisation de l'information. COMPUTERS Databases Data Mining. bisacsh Data integration (Computer science) fast Data mining fast Information visualization fast Ward, Harris, author. has work: Pentaho Analytics for MongoDB Cookbook (Text) https://id.oclc.org/worldcat/entity/E39PD34dqDp6XMPj3BXFBt69Xd https://id.oclc.org/worldcat/ontology/hasWork Print version: Latino, Joel. Pentaho Analytics for MongoDB Cookbook. Birmingham : Packt Publishing, ©2015 Quick answers to common problems. http://id.loc.gov/authorities/names/no2015091434 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1134525 Volltext |
| spellingShingle | Latino, Joel Ward, Harris Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / Quick answers to common problems. Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: PDI and MongoDB; Introduction; Learning basic operations with Pentaho Data Integration; Migrating data from the RDBMS to MongoDB; Loading data from MongoDB to MySQL; Migrating data from files to MongoDB; Exporting MongoDB data using the aggregation framework; MongoDB Map/Reduce using the User Defined Java Class step and MongoDB Java Driver; Working with jobs and filtering MongoDB data using parameters and variables; Chapter 2: The Thin Kettle JDBC Driver; Introduction. Using a transformation as a data serviceRunning the Carte server in a single instance; Running the Pentaho Data Integration server in a single instance; Define a connection using a SQL Client (SQuirreL SQL); Chapter 3: Pentaho Instaview; Introduction; Creating an analysis view; Modifying Instaview transformations; Modifying the Instaview model; Exploring, saving, deleting, and opening analysis reports; Chapter 4: A MongoDB OLAP Schema; Introduction; Creating a date dimension; Creating an Orders cube; Creating the customer and product dimensions; Saving and publishing a Mondrian schema. Creating a Mondrian 4 physical schemaCreating a Mondrian 4 cube; Publishing a Mondrian 4 schema; Chapter 5: Pentaho Reporting; Introduction; Copying the MongoDB JDBC library; Connecting to MongoDB using Reporting Wizard; Connecting to MongoDB via PDI; Adding a chart to a report; Adding parameters to a report; Adding a formula to a report; Grouping data in reports; Creating subreports; Creating a report with MongoDB via Java; Publishing a report to the Pentaho server; Running a report in the Pentaho Server; Chapter 6: The Pentaho BI Server; Introduction; Importing Foodmart MongoDB sample data. Creating a new analysis view using Pentaho AnalyzerCreating a dashboard using Pentaho Dashboard Designer; Chapter 7: Pentaho Dashboards; Introduction; Copying the MongoDB JDBC library; Importing a sample repository; Using a transformation data source; Using a BeanShell data source; Using Pentaho Analyzer for MongoDB data source; Using a Thin Kettle data source; Defining dashboard layouts; Creating a Dashboard Table component; Creating a Dashboard line chart component; Chapter 8: Pentaho Community Contributions; Introduction; PDI MongoDB Delete Step; PDI MongoDB GridFS Output Step. PDI MongoDB Map/Reduce Output stepPDI MongoDB Lookup step; Index. MongoDB. http://id.loc.gov/authorities/names/no2011130709 MongoDB fast Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data integration (Computer science) http://id.loc.gov/authorities/subjects/sh2010014388 Information visualization. http://id.loc.gov/authorities/subjects/sh2002000243 Exploration de données (Informatique) Intégration de données (Informatique) Visualisation de l'information. COMPUTERS Databases Data Mining. bisacsh Data integration (Computer science) fast Data mining fast Information visualization fast |
| subject_GND | http://id.loc.gov/authorities/names/no2011130709 http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh2010014388 http://id.loc.gov/authorities/subjects/sh2002000243 |
| title | Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / |
| title_auth | Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / |
| title_exact_search | Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / |
| title_full | Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / Joel Latino, Harris Ward. |
| title_fullStr | Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / Joel Latino, Harris Ward. |
| title_full_unstemmed | Pentaho Analytics for MongoDB cookbook : over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / Joel Latino, Harris Ward. |
| title_short | Pentaho Analytics for MongoDB cookbook : |
| title_sort | pentaho analytics for mongodb cookbook over 50 recipes to learn how to use pentaho analytics and mongodb to create powerful analysis and reporting solutions |
| title_sub | over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / |
| topic | MongoDB. http://id.loc.gov/authorities/names/no2011130709 MongoDB fast Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data integration (Computer science) http://id.loc.gov/authorities/subjects/sh2010014388 Information visualization. http://id.loc.gov/authorities/subjects/sh2002000243 Exploration de données (Informatique) Intégration de données (Informatique) Visualisation de l'information. COMPUTERS Databases Data Mining. bisacsh Data integration (Computer science) fast Data mining fast Information visualization fast |
| topic_facet | MongoDB. MongoDB Data mining. Data integration (Computer science) Information visualization. Exploration de données (Informatique) Intégration de données (Informatique) Visualisation de l'information. COMPUTERS Databases Data Mining. Data mining Information visualization |
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