Spring Data with John Blum

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In the 1980s and the 1990s, most applications used only a relational database for their data management. In the early 2000s, software projects started to use an ever increasing number of data sources. MongoDB popularized the document database, which allows storage of objects that do not have a consistent schema.
The Hadoop distributed file system enabled the redundant storage and efficient querying of high volumes of data that are spread out across multiple commodity disks. The Cassandra Database is a hybrid between key-value storage and column-oriented storage.
The benefit of these different data systems is that you can choose a system that gives you the read and write performance that you need. The downside is that each of these databases has different querying semantics. If you’re a developer trying to access data from your application, you often need to know how to access that data from the specific data source and whether that data needs to be queried with SQL, or with the document style query, or with a MapReduce job.
Spring Data is a project to standardize the programming model for data access within Spring. The vision for the project is to give Spring developers a consistent way to access their data from any database, or retaining the performance characteristics of those databases.
Spring is a Java framework for writing web applications, but this conversation is useful even for people who are not building these Spring applications. Whatever application you’re building, you are probably pulling from multiple data sources. The question of how to abstract away the complexity of those multiple data sources is also being tackled by projects such as GraphQL and Falcor.
John Blum is a staff engineer who works on the Spring Data Project at Pivotal. He joins the show to discuss how to design a data access layer. We discussed the API between a database and the Spring Data layer and also talked about reactive programming. Reactive programming allows the application layer to respond to changes in the underlying data layer.
I interviewed John at SpringOne Platform, which is a conference that is organized by Pivotal, who full disclosure is a sponsor of Software Engineering Daily. This week’s episodes are all conversations from that conference.
If there’s a conference that you think I should attend and do some coverage at, please let me know. Whether you like this format or not, I would love to get your feedback. We have some big developments coming for Software Engineering Daily in 2018, and we want to have a closer dialogue with the listeners. Please send me an e-mail [email protected], let me know what’s up. Or join our Slack channel.
Transcript
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