2013 02-26 - Software Tests with Mongo db
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Quality matters. That’s why we write software tests. They give us confidence to release complex business applications. In a schema-free world they are going to be our escape rope! This talk introduces some Unit Testing principles and separates them from Integration Tests. We will see how other databases solve common problems and how we can archive the same with MongoDB. Of course, you can expect some Test Driven Development (TDD).
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Sie kennen die bekannten Angriffsvektoren wie SQL-Injections oder XSS. Ihre Anwendung ist sicher. Ist Sie das wirklich? Auch wenn Sie in Ihrer Webanwendung kein HTML5 einsetzen, die Browser sind bereit! Kennen Sie alle neuen Markups? Haben Sie bereits die Potentiale von Cross Origin Requests, WebSockets oder Local Storage auf dem Radar? Lernen Sie neue Gefahrenpotentiale kennen, die durch die Unterstützung von HTML5 und dessen APIs entstanden sind.
2013-03-23 - NoSQL Spartakiade
2013-03-23 - NoSQL SpartakiadeJohannes Hoppe This document discusses different data modeling techniques for MongoDB including embedding documents, linking documents by ID, and handling many-to-many relationships. It provides code examples of saving documents, querying, and updating in MongoDB. It also briefly covers software testing strategies for MongoDB applications.
2013-02-21 - .NET UG Rhein-Neckar: JavaScript Best Practices
2013-02-21 - .NET UG Rhein-Neckar: JavaScript Best PracticesJohannes Hoppe The document provides JavaScript best practices focusing on code quality, avoiding antipatterns like implied globals and eval, and recommendations for style like indentation and naming conventions. It also discusses testing with Jasmine including writing tests, making them pass, refactoring code, and repeating the test-driven development process. Modular code organization techniques like revealing module pattern and event publishing are also covered.
2011-06-27 - AOP - .NET User Group Rhein Neckar
2011-06-27 - AOP - .NET User Group Rhein NeckarJohannes Hoppe The document provides an introduction to aspect-oriented programming with .NET. It discusses various cross-cutting concerns like logging, exceptions, validation, and caching that can be addressed using aspect-oriented programming. It also demonstrates how aspects are used to modify the intermediate language (IL) code to inject cross-cutting behavior before, after, and around method calls. Various aspect oriented programming frameworks for .NET are also mentioned.
DMDW 8. Student Presentation - Groovy to MongoDB
DMDW 8. Student Presentation - Groovy to MongoDBJohannes Hoppe The document outlines an ETL project to extract data from an Excel room-plan file, transform it into a new structure and data types, and load it into a database. It discusses exporting the CSV file from Excel and issues with encoding and delimiter. It then describes using a Groovy script to parse the file and handle inconsistent data. Finally, it notes putting the objects into the database and addressing problems around data conversion and structure.
DMDW 5. Student Presentation - Pentaho Data Integration (Kettle)
DMDW 5. Student Presentation - Pentaho Data Integration (Kettle)Johannes Hoppe This document discusses data warehousing and data mining. It describes a typical data warehouse architecture including data consolidation, security, modeling, and querying requirements. It outlines the extract, transform, load (ETL) process for moving raw data into the warehouse. Specific tools used are MySQL, MySQL Workbench, and Pentaho Data Integration. The steps taken include verifying source Excel data, preparing the database structure in MySQL, and performing the extract, transform, and load of data using Pentaho.
DMDW 7. Student Presentation - Pentaho Data Integration (Kettle)
DMDW 7. Student Presentation - Pentaho Data Integration (Kettle)Johannes Hoppe ETL involves extracting data from outside sources, transforming it to fit operational needs, and loading it into an end target database. The document discusses extracting Excel data which can contain errors like null entries, spelling mistakes, and duplicates. It describes normalizing the data to decompose relations and define relationships between smaller, well-structured tables. Various ETL tools are mentioned, including Pentaho Data Integration, an open source and user-friendly tool that supports extraction, transformation, and loading capabilities.
DMDW 9. Student Presentation - Java to MySQL
DMDW 9. Student Presentation - Java to MySQLJohannes Hoppe This document provides an introduction to an exercise on Extract, Transform, Load (ETL) processes. It was presented by Stefan Böttler, Daniel Henn and Philipp Grundmann for the course Data Mining & Data Warehouse taught by lecturer Dipl.-Inf. (FH) Johannes Hoppe. The document outlines the ETL process of extract, transform, load and lists the software requirements of Java, MySQL, XAMPP and HeidiSQL.
DMDW 11. Student Presentation - JAVA to MongoDB
DMDW 11. Student Presentation - JAVA to MongoDBJohannes Hoppe The document describes an ETL tool created in Java to extract data from an Excel file and load it into a MongoDB database. The tool uses the Morphia ORM mapper to map Excel data to Java objects and then to documents in MongoDB for storage. The tool was built using Java 1.6 and runs on any machine with a JVM, extracting from Excel files and transforming and loading the data into MongoDB in a non-SQL document format.
DMDW 1. Student Presentation - Access 2007
DMDW 1. Student Presentation - Access 2007Johannes Hoppe The document discusses integrating an Excel spreadsheet into a Microsoft Access database. It describes the tools used, including Microsoft Access 2007, 2010, and Excel 2007 and 2010. Some common problems that can occur during import are discussed, such as missing column headings, empty spaces, and formatting errors with dates and times. Solutions for resolving these problems, such as manual corrections and using Access 2010 features, are provided. A live demonstration of the integration process is also included.
2013 02-26 - Software Tests with Mongo db
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- 19. “ ” J.B. Rainsberger
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- 27. using (var documentStore = new EmbeddableDocumentStore{ RunInMemory = true}.Initialize()) { using (var session = documentStore.OpenSession()) { // Run complex test scenarious } }
- 30. using (var runner = MongoDbRunner.Start()) { var collection = new MongoClient(runner.ConnectionString) .GetServer() .GetDatabase("TestDatabase") .GetCollection<TestDocument>("TestCollection"); // Run complex test scenarious }