Experts Predict Trends for Data Architecture in 2019
From AI and machine learning to data discovery and real-time analytics, creating a strong data architecture strategy is critical to supporting an organization's data-driven goals. Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions, including data lakes, in-memory databases and engines like Spark and cloud services of all shapes and sizes.