Data Science Salon wrapped up last week, with tons of insightful talks on a large range of topics in the Media, Arts and Entertainment industries. Check out our roundup of some noteworthy sessions.
Data Science Salon wrapped up last week, with tons of insightful talks on a large range of topics in the Media, Arts and Entertainment industries. Check out our roundup of some noteworthy sessions.
How data engineers can leverage ML pipelines to support complex data management tasks across multiple compute environments, bringing ML applications to production faster and easier.
A step by step tutorial on working with Spark in a Kubernetes environment to modernize your data science ecosystem
The notions of collaborative innovation, openness and portability are driving enterprises to embrace open source technologies. Anyone can download and install Kubernetes, Jupyter, Spark, TensorFlow and Pytorch to run machine learning applications, but making these applications enterprise grade is a whole different story.
With all the turmoil and uncertainty surrounding large Hadoop distributors in the past few weeks, many wonder what’s happening to the data framework we’ve all been working on for years?
2020 will be about simplifying the way from data science to production, with an emphasis on bringing real – and scalable - business value.