Data architecture is the overarching strategy for the collection, storage, and use of data for the organization. The tools, systems, and the manner in which data will be managed are all critical to the data architecture.
With all the options around data storage – relational databases, NoSQL databases, graphs, key-value stores, etc.; and all the options for data processing – traditional ETL, Spark, Hadoop; the means of data movement and sharing – message bus, Kafka, microservices, APIs. There are many options to consider and the decisions need to be based on your goals as an organization, the types of data being managed, the way that data will be used and the people at are using it.
Steampunk has the depth of skills, experience, and approach to help organizations build a comprehensive data architecture. Whether you’re just getting started with cleaning your data, rearchitecting storage for better utilization, or overhauling your enterprise to gain the efficiencies and strategic advantage your data will yield, we’re ready to build and deliver your architecture.