Big Data Pipelines: Past, Present, and Future
When data scientists convert research work to production machine learning tasks, a key challenge is how to schedule and organize computations so that results are reliably available and consistently accurate. This is the impetus for the world of tools that offer job scheduling and pipelining functionality.... Read more
Building a Data Pipeline in Python – Part 2 of N – Data Exploration
Initial data acquisition and data analysis In order to get an idea of what our data looks like, we need to look at it! The Jupyter Notebook, embedded below, will show steps to load your data into Python and find some basic statistics to use them... Read more