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<beans:bean id="jobLauncher" class="org.springframework.batch.core.launch. support.SimpleJobLauncher" p:jobRepository-ref="jobRepository"/> <beans:bean id="jobRegistryBeanPostProcessor" class="org.springframework.batch.core. configuration.support.JobRegistryBeanPostProcessor" p:jobRegistry-ref="jobRegistry"/> <beans:bean id="jobRepository" class="org.springframework.batch.core. repository.support.JobRepositoryFactoryBean" p:dataSource-ref="dataSource" p:transactionManager-ref="transactionManager"/> </beans:beans> Because the implementation uses a database to persist the metadata, take care to configure a DataSource as well as a TransactionManager. In this example, you re using a PropertyPlaceholderConfigurer to load the contents of a properties file (batch.properties) whose values you use to configure the data source. You need to place values for your particular database in this file. This example uses Spring s property schema ("p") to abbreviate the tedious configuration. In subsequent examples, this file will be referenced as batch.xml. The properties file looks like this for us: hibernate.configFile=hibernate.cfg.xml dataSource.password=sep dataSource.username=sep dataSource.databaseName=sep dataSource.driverClassName=org.postgresql.Driver dataSource.dialect=org.hibernate.dialect.PostgreSQLDialect dataSource.serverName=studio:5432 dataSource.url=jdbc:postgresql://${dataSource.serverName}/${dataSource.databaseName} dataSource.properties=user=${dataSource.username};databaseName=${dataSource.databaseName};se rverName=${dataSource.serverName};password=${dataSource.password}

BI 2.0 targets an increased audience, and one of its goals is to provide BI to non-analytical users. The average user is not going to want to use an application that presents data via a scrolling list of data. Data visualizations can provide a much more engaging experience if graphics and symbols are used instead of rows of data. This is a much more intuitive approach to surface data for a casual user.

Caution Once you click OK on the confirmation for deleting the list, the list and all of the information it contains

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The first few beans are related strictly to configuration nothing particularly novel or peculiar to Spring Batch: a data source, a transaction manager and a properties resolver. Eventually, we get to the declaration of a MapJobRegistry instance. This is critical it is the central store for information regarding a given Job, and it controls the big picture about all Jobs in the system. Everything else works with this instance. Next, we have a SimpleJobLauncher, whose sole purpose is to give you a mechanism to launch batch jobs, where a job in this case is our batch solution. The jobLauncher is used to specify the name of the batch solution to run as well as any parameters required. We ll follow up more on that in the next recipe. Next, you define a JobRegistryBeanPostProcessor. This bean scans your Spring context file and associates any configured Jobs with the MapJobRegistry. Finally, we get to the SimpleJobRepository (that is, in turn, factoried by the JobRepositoryFactoryBean). The JobRepository is an implementation of repository (in the Patterns of Enterprise Application Architecture sense of the word): it handles persistence and retrieval for the domain models surrounding Steps, Jobs, etc.

One of the early problems of BI was that it wanted to be so powerful that it allowed users to do a lot. A great example of this is the spreadsheet; it s useful for creating great insight but it s too open for average users. An average user needs to be steered in the right direction so that they do not create analysis that is incorrect. Data visualizations are an excellent way to control analysis. Querying, searching, and complex business algorithms can be completely abstracted from the user with interactions that are controlled. For example, if you provide a slider that has a minimum and a maximum range, a user cannot input a string or a bad date. This limits the user from performing an action that would cause an incorrect analysis.

will be sent to the site s Recycle Bin. After a configurable number of days (the standard is 30) in the Recycle Bin, the list will be permanently deleted, and it will no longer be possible to recover the list without assistance from your IT staff.

21-2. Reading and Writing (but No Arithmetic)

You want to insert data from a file into a database. This solution will be one of the simplest solutions and will give you a chance to explore the moving pieces of a typical solution.

One of the characteristics of a good data visualization is that it is simple to use and communicates only the key messages from the data. This fits right into the BI 2.0 paradigm of keeping analysis simple. By

The SharePoint platform provides additional, more advanced, features that allow you to manage the structure of your lists and provide alternative methods for users to consume the information in the list. These features, while requiring more understanding of the product to manage, provide greater reusability of list structure and accessibility of information.

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