Chief Technology Officer CTO
AMIS, Netherlands AMIS | Conclusion
Data will always be the key ingredient in enterprise IT. The nature, scope and volume of data and the place of data in the IT landscape is evolving. BigData, unstructured data and non-relational data stored on Hadoop, in NoSQL databases and held in ElasticSearch, Caches and Message Queues and blockchain complements data in the enterprise RDBMS. Trends like IoT, microservices that contain their own data, streaming analytics, CQRS and Event Sourcing have changed the way we store, share, duplicate and govern data. This session introduces and demonstrates some of the most relevant patterns, technologies and hypes around storing, processing and retrieving data using products such as Oracle RDBMS and NoSQL, MySQL, Neo4J, Kafka, Redis, Elastic Search, Cassandra and Hadoop, Spark and yes SQL too – locally,in containers and on the cloud.
Architects' views on integration and regarding the technology for realizing integration are changing. Important triggers include cloud, web scale, new type of user interaction, IoT and real time, serverless – and real life experiences with enterprise integration. With increased scale, tighter security requirements, faster change cycle, increased usage of standard applications (primarily SaaS) and the advent of cloud, that inspired new architecture patterns and insights such as domain driven design, microservices, CQRS, event sourcing, “dumb pipes, smart end points” combined with advances in technology the world has changed. Just an enterprise service bus does not suffice. This session discusses and demonstrates modern integration.