VP of Customer Solutions Shantan Kethireddy takes a deep dive into how Ocient customers are analyzing hyperscale datatsets using modern data stack and machine learning to save costs in AdTech.
Kethireddy highlights the massive amount of data that AdTech customers deal with and the need for efficient processing and analysis of disparate and semi-structured data. Kethireddy explains how Ocient's consolidated data platform allows for cost reduction and efficiency by eliminating the need for separate tools and infrastructure. He emphasizes the benefits of co-locating data using Kafka, simplifying operations as a fully managed service, and optimizing performance for the ad tech industry. He also emphasizes the importance of multi-dimensional data storage and extreme I/O performance, as well as workload management and scalability in specialized database systems.
He discusses how Ocient has taken a consolidated approach in their data platform, which enables cost reduction and efficiency by consolidating infrastructure. This approach allows for the consolidation of batch and stream loading into one system, eliminating the need for separate tools to handle different data sets. It also enables the ability to perform complex filtering, grouping, sorting, and aggregations, as well as machine learning analysis against the data.
Learn more about Ocient for adtech at [ Ссылка ].
