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Apache Spark has revolutionized the way organizations build and deploy predictive algorithms, and SingleStore brings the scale of a distributed data platform to drastically reduce the time it takes to operationalize machine learning models. Join us in our next webinar to learn how you can easily take models you have built using Python, Scala or Java and run them 20x faster with SingleStore.
In this webinar, we will cover:
- How to architect Spark and SingleStore together to build lightning-fast analytical applications
- Building and managing supervised learning models in PySpark and pushing those down into an operational database as ANSI SQL to achieve scale
- Why keeping the database at the center of all AI/ML operations is the best way to accelerate success of your data science initiatives
Apache Spark and SingleStore together deliver the smartest, most scalable platform for data integration and advanced analytics. With the release of the latest SingleStore Spark Connector, data engineers and data scientists have the ultimate solution to accelerate development and deployment of AI and Machine Learning.
Speaker:
Domenic Ravita, Field CTO
Sarung Tripathi, Principal Solutions Consultant