November 17, 2020
9:00 am - 5:00 pm
Duration: One Day Course
Leading the way in new data integration best practices, data streaming hubs and data pipelines are gaining adoption for their proven scalability, agility, and improved manageability. Database replication is a proven technology that has a new role in data ingestion to quickly capture operational data in near real-time and for changed data capture in cloud data lakes and analytics pipelines. Implementing these data engineering concepts and organizational teams delivers agility in data analytics projects.
Data unification is a critical facet in data-centric organizations that empower their people with data, and data unification strategies accelerate cloud adoption and increase confidence for BI development, self-service data analytics, and data science projects. As the number of data stores increase, consolidate, and evolve during a cloud migration, business analysts and data scientists need to find data, understand data, prep data, collaborate, and publish data in a governed user-driven way. As critical components of data unification, data virtualization, semantic layers, and data services have become a “data marketplace” of sorts for users, within the parameters of essential governance and enterprise manageability.