We spent last week at the Big Data Innovation Summit in Boston, where we encountered key themes shaping the big data market. Real-time data processing is gaining traction, with a focus on Spark and its capabilities for streaming and in-memory processing. Meanwhile, data warehousing is poised for refresh as traditional systems struggle to deliver instant results. The Extract, Transform, and Load (ETL) process is also becoming increasingly burdensome, driving innovation in Hybrid Transactional and Analytical Processing (HTAP). Emerging organizational structures for data science are prioritizing visualization, experimentation, and machine learning, with infrastructure and ETL tasks being reassigned to dedicated teams. These trends will be further explored at Strata + Hadoop World New York 2015.