10 Reasons to Attend The Data Lake Virtual Summit
The Data Lake Summit, brought to you by Qubole, in collaboration with AWS and Google Cloud, is scheduled to be held during October 13-14, 2020.…
The Data Lake Summit, brought to you by Qubole, in collaboration with AWS and Google Cloud, is scheduled to be held during October 13-14, 2020.…
Running Large distributed Apache Spark clusters in the public cloud, that handle the exponential increase in volumes of data to fuel analytics and Machine Learning…
NEW! Spark 3.3 is now available on Qubole. Qubole’s multi-engine data lake fuses ease of use with cost-savings. Now powered by Spark 3.3, it’s faster…
Amazon EC2 Cost Optimization Qubole is excited to announce the general availability of Managed Spot Block instances that provide up to 40% cost savings over…
To our valued customers and partners, I hope all of you, your colleagues, families, and friends are safe and healthy and practicing social distancing in…
Data lakes are at the heart of digital transformation in enterprises. As more organizations run analytics, machine learning, and ETL workloads on the data residing…
AWS Glue Data Catalog with Qubole Data Platform lets you instantly run your ETL, ad hoc analytics, and machine learning or data science jobs on…
Anyone in AdTech knows the market is incredibly fragmented. Despite rapid growth — 38 percent from 2016 to 2017 — a considerable share of the…
Microsoft’s Azure Data Lake Store (ADLS) integration with Qubole Data Service (QDS) is a significant milestone in the journey we started when we launched QDS…
When Hadoop is deployed with on-premises architecture, compute and storage are combined together. As a result, compute and storage must be scaled together and the…
It’s a long-held belief that data stored on-premises is a lot more secure than storing that data in the public cloud. However, that may not…
Today we reported some impressive stats on our growth in 2014. In short, last year was a phenomenal year for the company. The amount of…
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.