As organizations become more data-driven, it is pivotal that we enable conversations around data with access to algorithms, queries, formulas, models, visualizations, and machine learning. As a result, notebooks are starting to be used in Business Intelligence departments as well.
The notebook is an emerging technology present in the data scientist's toolbox, since it offers a unified interface for both exploratory work and production use. With the integrated Jupyter Notebook as a working interface, Bigstep’s Spark Array can be utilized by:
- Data science teams in performing their day to day activity.
- Business professionals and business intelligence specialists in the process of gathering results from the data science teams and making decisions based on what they’ve learned.
- In research projects, when multiple technologies are being tested and a flexible platform can accelerate the project and its outcomes.
For advanced analytics and visualization, Bigstep offers users the freedom to import packages that are not included in the standard offering.