50 Shades of Data – how, when and why Big,Relational,NoSQL,Elastic,Graph,Event

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.

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.