Qubole

Which Big Data Framework is the Best Fit?  Apache Hadoop wasn’t just the “elephant in the room”, as some had called it in the early…

The big data-as-a-service company, Qubole, announced today the availability of Apache Spark on Qubole Data Service (QDS) for the Google Cloud Platform. The integration will…

Starting today, Qubole Data Service (QDS) users can launch Auto-Scaling Spark Clusters and 1-click Persistent Notebooks to analyze data persisting in Google Cloud Storage. To…

The big data explosion has given rise to a host of Information technology tools and capabilities that enable organizations to capture, manage and analyze large…

Big data has become a big industry. The lofty promise of big data analytics to deliver actionable insights and create competitive advantage is being realized.…

The big data boom has given rise to a host of vendors, each promoting their own unique ways of meeting the growing data demands of…

When we launched our Spark as a Service offering in February, we designed it to run production workloads. Users would write standalone Spark applications and…

Introduction: One of the benefits of moving Hadoop workloads to the cloud is reducing cost and risk. No upfront capital expenditure on hardware is required…

Organizations have seen the value that big data can add. It’s no mistake that so many businesses have chosen to adopt big data solutions in…

We’re excited to announce that Qubole can now run Hadoop, Spark, and Presto clusters with zero local disk storage. We now support AWS M4 and…

The world of big data is all around us. Transactions, sensors, social media, mobile devices, wearables, and a host of other sources are generating datasets…

When it comes to big data tools, more than a few have peculiar names. You’ve got Hadoop, Hive, MongoDB, Pig, Presto—the list of quirky words…