Jupyter™ notebooks is one of the most popular IDE of choice among Python users. Traditionally, most Jupyter users work with small or sampled datasets that…
This is a guest post by Evan Harris, Data Scientist, Return Path At Return Path, I work on a data science team that uses machine…
Today distributed compute engines are backbone of many analytic, batch & streaming applications. Spark provides many advanced features (pivot, analytic window functions, etc.) out of…
In Part 1 you learned how to get started with installing distributed deep learning library BigDL on Qubole. In this Part 2 of a two-part…
BACKGROUND Qubole Notebooks give data scientists and data analysts an easy way to interact with data stored in Cloud data stores such as Amazon S3,…
BigDL runs natively on Apache Spark, and because Qubole offers a greatly enhanced and optimized Spark as a service, it makes for a perfect deployment…
Today, we are excited to announce the private Beta availability of StreamX as a managed service within the Qubole Data Service (QDS) platform. With this…
A while back we shared the post about Qubole choosing Airflow as its workflow manager. Then last year there was a post about GAing Airflow…
At the Data Platforms 2017 conference, we announced a new initiative on AIR (Alerts, Insights and Recommendations). Insights and Recommendations are derived from data collected…
Opening Keynote at Data Platforms 2017 with Qubole Co-Founder/CEO Ashish Thusoo All businesses are now in the data business. Whether ingesting interaction clickstream and transactional…
