DataOps empowers data teams to cost-effectively deliver high-quality data products, with the increasing use of AI and machine learning. With DataOps, teams go deep on specific technologies, such as Hadoop, Hive, Spark, Presto, Kafka, Databricks, and Snowflake. But they also maintain and manage across technologies, from data ingest through data pipelines to on-time delivery of analytics and results.
Join DataOps innovator Kunal Agarwal, CEO of Unravel Data, as he describes how companies large and small are using DataOps to make their technology stacks hum, get more done at a lower cost, and improve both customer experience and the bottom line.
DataOps Resource
Unravel’s guide tells you what it takes to do DataOps. 