Data has been and will be the key ingredient to enterprise IT. What is changing is the nature, scope and volume of data and the place of data in the IT architecture. BigData, unstructured data and non-relational data stored on Hadoop, in NoSQL databases and held in Elastic Search Indexes, Caches and Message Queues complements data in the enterprise RDBMS. Emerging patterns such as microservices that contain their own data, BASE, CQRS and Event Sourcing have changed the way we store, share and govern data. This session introduces patterns, technologies, trends and hypes around storing, processing and retrieving data using products such as MongoDB, MySQL, Kafka, Redis, Elastic Search and Hadoop/Spark -locally,in containers and on the cloud
Key take away: what an application architect and a developer should know about the various types of data in enterprise IT and how to store/manage/query/manipulate them. What products and technologies are at your disposal. How can you make these work together - for a consistent (enough) overall data presentation.
These are the slides for the presentation as well as all the demos I prepared for the Devoxx Morocco event in November 2017. The deck includes 150+ slides showing the setup of the demo environment (Oracle Public Cloud DBaaS, Event Hub, Application Container, Application Cache, Kubernetes and Kafka) and the detailed demo steps that show Microservices with Data Bounded Context, Event based choreography and CQRS in action.