Building QDS: AIR Infrastructure
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…
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…
The last 5 months have been nothing less than spectacular. I was in high doubt about Qubole at the time of giving preferences for my…
Container Packing for Resource Scheduling in the Cloud In this post we describe a new algorithm for allocating resources among long-running distributed applications. When applied…
Presto, Apache Spark, and Apache Hive can generate more efficient query plans with table statistics. For example, Spark, as of version 2.1.1, will perform broadcast…
Our goal is to help our notebook users to be more productive—to do things quickly and more effectively. Notebooks have helped our users get started…
QuData is full of valuable information just waiting to be extracted with the right approach. For most companies, that’s easier said than done. Cloud and…
This is a guest post authored by Mikhail Stolpner, Solutions Architect, Qubole Planning XGBoost cluster This planning guide covers a scenario when there is a…
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.
See what our Open Data Lake Platform can do for you in 35 minutes.