On this episode of This is My Architecture, Suresh Ramaswamy, Senior Director of Engineering at Qubole show...
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TiVo shares best practices for ingesting, processing, and making available for analysis terabytes of streaming and batch viewership data from millions of households
USA Today publisher Gannet cut costs thanks to Qubole’s autoscaling and downscaling capabilities, and the ability to isolate workloads to separate clusters
Ensighten was able to decouple their compute from storage and handle user-level management and permissions across a variety of Spark, Hadoop and Presto with Qubole
AgilOne runs a variety of workloads for querying data, running ML models, orchestrating ML workflows, and more on Qubole
Nauto Improves its Data Scientist Productivity, Accelerates Product Development
TrafficGuard relies on big data processing to detect and prevent ad fraud, which requires a robust infrastructure.
Return Path drove down compute costs and was able to deliver self-service access to data with Qubole
Qubole's workload-aware autoscaling, aggressive downscaling, and intelligent Spot buying have lowered Zillow's operational costs of Presto and Apache Spark dramatically
Security strategies to protect your information and how our security model works with AWS
Hear how Qubole empowers Demandbase to analyze trillions of rows of structured and unstructured data in real time, making their data scientists and data engineers productive since day one.
On this episode of This is My Architecture, Suresh Ramaswamy, Senior Director of Engineering at Qubole shows how they built a big data self-service platform on AWS.
Advancements in Qubole that reduce the odds of Spot instance losses in Qubole managed clusters
In this video we will focus solely on XGBoost (a distributed machine learning algorithm) and the Telco Customer Churn Dataset to train and predict Customer Churn using automated Apache Spark ML pipeli