Shefali Aggarwal

This is a guest post written by Shailesh Garg, Director of Engineering at RevX. A programmatic ad-tech platform like RevX generates terabytes of data on…

When I walked into Qubole’s office on June 10th—the first day of my Product Analyst Internship there—I had nothing with me except for a notebook…

The concept of intelligent automation has always played a key role in Qubole Data Service (QDS). It’s one of the main reasons why we can…

Important stories live in our data, and data visualization is a powerful means to discover and understand these stories, and then to present them to…

At Qubole, we’ve made significant progress on our adoption of Spark on QDS with new features and scalability. Here are some recent stats pertaining to…

Co-authored by Somya Kumar, Member of the Technical Staff at Qubole. Presto is an open-source distributed SQL query engine developed at Facebook. It’s built for…

When it comes to Big Data processing in the cloud compared to on-premise, one of the fundamental differences between the two is how the data…

Intro In a recent blog post, we benchmarked auto-scaling and demonstrated that an auto-scaling cluster was a lot less expensive and only a little bit…

We are excited to announce the general availability of GitHub integration for QDS Notebooks. GitHub is an effective way to collaborate on development projects. GitHub…

Intro Have you ever had trouble deciding how large to make a cluster? Do you sometimes feel like you’re wasting money when a cluster isn’t…

Lyft, Box, Amgen, and Scripps Join Growing Roster of Top-Tier Customers MOUNTAIN VIEW, CA–(Marketwired – Aug 4, 2016) – Qubole, the big data-as-a-service company, reported…

In a previous post, we outlined the case for selecting cloud infrastructure over an on-premises deployment for managing big data workloads. Taking advantage of Spot…