Qubole brings machine learning to the data warehouse
Enabling Machine Learning on the Data Warehouse with Apache Spark on Qubole
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Data Wrangling and Predictive Analytics for the 2019 Cricket World Cup Using PySpark & Python
How to acquire, transform and analyze semi-structured data and apply predictive analytics to predict future performance
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How Data Science Teams Can Succeed at Machine Learning at Enterprise Scale
Strategies to address common challenges data science teams face as they scale up ML operations
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Using Qubole Notebooks to Predict Future Sales with PySpark
Build and use a time-series analysis model to forecast future sales from historical sales data
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AgilOne: Machine Learning at Enterprise Scale
AgilOne runs a variety of workloads for querying data, running ML models, orchestrating ML workflows, and more on Qubole
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TrafficGuard Halts Digital Ad Fraud with Qubole
TrafficGuard relies on big data processing to detect and prevent ad fraud, which requires a robust infrastructure.
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Return Path Accelerates Data Science Projects, Saves Thousands in Compute Costs with Qubole
Return Path drove down compute costs and was able to deliver self-service access to data with Qubole
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Spotad: Rebuilding and Optimizing Real-Time Mobile Adverting Bidding with Qubole
Migrating to Qubole saved Spotad more than 50 percent in its operating costs almost instantly.
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