Cloud data lakes are enabling new business models and near real-time analytics to support better decision making. However, as the number of workloads migrating to… The post Architecting Data Lakes...

Running ad hoc analytics, streaming analytics, and machine learning workloads in the cloud offer unique cost, performance, and time to value advantages. But the unpredictability… The post Data...

In Part 1 of this series, we briefly touched upon the various design considerations to be made when architecting the Data Lake. We saw how… The post Part 2: Tuning the Data Ingestion process...

Today’s applications for machine learning and real-time predictive analytics require a robust set of capabilities from the underlying data platform. These must meet the growing… The post Data...

Artificial Intelligence and machine learning workloads leverage multiple data formats that are a combination of batch and real-time and require scalable computing resources. Leveraging data… The...

Increase data security and simplify the infrastructure with Qubole About Qubole Open Data Lake Platform Qubole is an open and secure data lake platform for… The post Enhanced Network Security with...

Data Lakes are a core pillar in an organization’s data strategy. Data lakes make organizational data from different sources, accessible to various end-users like business… The post Part 1:...

For decades our desks were covered in trophies, certificates, and medals demonstrating our accomplishments, achievements, and competencies. Over the time, these methods of recognition have… The...

AWS Spot instances reduce cloud costs by up to 90% but can be interrupted by AWS at any given time causing running workloads to fail.… The post Introducing Capacity Reservation for Application...

Image credits: https://science.howstuffworks.com/terraforming.htm The Qubole Open Data Lake Platform Qubole is the open data lake company that provides a simple and secure data lake platform… The...

Columnar data formats have become the standard in data lake storage for fast analytics workloads as opposed to row formats. Columnar formats significantly reduce the… The post Columnar Format in...

Last week, we welcomed our customers Justin Wainwright, Systems Analyst at Oracle Data Cloud and Rajit Saha, Director of Data Platform at LendingClub, to discuss… The post How to Optimize Costs in...

This is Part 2 of a 2 blog series on this topic.  You can read Part 1 here. Rollout Strategy:  We have different tiers in… The post Rails: Why Upgrading Matters – Part 2 appeared first on Qubole.

Ruby on Rails (or Rails) is a web development  framework that gives Rails developers an optimized experience to write their (Ruby) code. Rails is one… The post Ruby on Rails: Why Upgrading Matters...

This final part of the three part spark optimization series explains how a Spark application can be optimized for performance by using Qubole Sparklens. The… The post How to Optimize Spark...

How to Optimize Spark Clusters on Qubole for Cost Reliability and Performance This second blog from the three part series explains how a Spark cluster… The post Spark Cluster Optimization for...

How Qubole Maximizes Spot Utilization and Reduces Costs One of our customers—a large enterprise cloud content management company—runs several sophisticated machine learning (ML) predictive...

As a best practice, we recommend users to create few large Presto clusters that are shared between different teams, instead of creating multiple small clusters… The post Using Resource Groups to...