From self-service data preparation and real-time data streaming, to the Internet of Things and Artificial Intelligence, the world of big data and analytics continues to evolve. Data lake adoption is on the rise, Spark is moving towards mainstream, and machine learning is starting to catch on at organizations seeking digital transformation across industries.?

All the while, the use of cloud services continues to grow across use cases and deployment models. Innovative new technologies are providing the opportunity for budding entrepreneurs and established enterprises alike to develop new business models and processes that change the old way of running operations and improve how customers are served. Greater speed, flexibility and scalability are common wish-list items for data management infrastructures today. At the same time, the need for smarter data governance and security strategies is also intensifying.

Source: dbta.com
Author: Stephanie Simone