Learn About Agile Data Science

MongoDB Fans,

We are in store for a treat. We have the fabulous Russell Jurney coming in from out of town to talk with us about Data Science. Russell is a "humongous" fan of our database and wants to share with you how he leverages it as an asset in his data science pipeline.

This is a joint event with DFW Data Science and DFW Big Data - so - yes - this is posted in more than one place.

In Russell's words:

Agile Data Science 2.0 covers the theory and practice of applying agile methods to the practice of applied research called data science. The book takes the stance that data products are the preferred output format for data science teams to effect change in an organization. Accordingly, we show how to "get meta" and build applications describing the applied research process itself. Then we show how to use 'big data' tools to iteratively build, deploy and refine applications. Technologies covered include Python, Apache Spark, Apache Kafka, MongoDB, ElasticSearch and Apache Airflow.

My name is Russell Jurney. I am principal consultant at Data Syndrome, a product analytics consultancy dedicated to advancing the adoption of the development methodology Agile Data Science, as outlined in the book Agile Data Science 2.0. I’ve worked as a data scientist building data products for over a decade, starting in interactive web visualization and then segwaying towards data products, machine learning and artificial intelligence at companies such as Ning, LinkedIn and Hortonworks. I am a self taught visualization software engineer, data engineer, data scientist, writer and most recently, I’m becoming a teacher. In addition to applied work building analytics products, Data Syndrome offers live and video training courses.

Social Media Links:

[masked] (fine to give out)

http://twitter.com/rjurney

http://linkedin.com/in/russelljurney

http://github.com/rjurney/Agile_Data_Code_2

http://bit.ly/agile_data_science

As usual, we will provide pizza, soda, beer.

Look forward to seeing you there.

SCott