Learn more about the AWS Partner Webinar Series at - http://amzn.to/2hmtP0v Big data technologies can be extremely complex and require manual operation. If you can intelligently automate your Big Data operations then you can lower your costs, make your team more productive, scale more efficiently, and lower the risk of failure. Demandbase, creator of a targeting and personalization platform for business-to-business (B2B) companies, uses Qubole and a data lake on AWS to reduce the management complexities and costs of processing and analyzing their data. 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.
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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 Prodcutivity, 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

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.

How TiVo analyzes terabytes of streaming and batch viewership data to better serve networks and advertisers

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