Qubole Team

In this blog, join us as we take a tongue-in-cheek look at some of the huge new cost savings and innovative use-cases now unlocked with…

In this blog, we will take a closer look at the powerful synergy between Apache Spark 3.3 and Jupyter Notebooks, both available on Qubole. Read…

Conducting ad-hoc analytics, streaming analytics, and ML workloads in the cloud offers unique cost, performance, speed, time to value, and accessibility advantages. However, the amount…

NEW! Want to save up to 42% on your data lake costs? Learn about Graviton on Qubole. Let’s take a look at the knowledge and…

Have you ever wondered how to optimize your data pipelines for cost efficiency and performance? Cost efficiency in data pipelines hinges on a three-fold strategy:…

Organizations, whether big or small, are embarking on a data lake strategy for centralized applications and applications coming together on a single central platform. With…

With the rate at which data is growing exponentially in modern times, it becomes important for organizations to look for innovative ways in which they…

Digital data is all around us. As per DataReportal, a total of 5.19 billion people around the world were using the internet at the start…

Today, organizations are either building new cloud-native data warehouses or data lakes or modernizing their existing on-prem systems in the cloud to accelerate their digital…

Real Time Data Ingestion Pipelines The real-time data streaming process involves ingesting data from a variety of sources and processing it in real-time so that…

Presto Presto, developed by Facebook, is an open-source distributed SQL query engine that was systematically designed and written for interactive analytics. It compares with the…

When creating a new Presto cluster, it can be difficult to determine how many worker nodes you will require and also predict future requirements. In…