Jagan R. Athreya
Jagan Athreya is a Product Manager for Google BigQuery at Google. Previously, he was Senior Director of IT Analytics at Oracle where he drove product strategy and delivery for next-generation integrated monitoring, management, and analytics cloud services. In prior roles as head of products for SaaS startups, Jagan was responsible for platform and applications for CRM, supply chain and digital rights management. He has an MBA from Wharton School, University of Pennsylvania and studied electrical engineering at Dartmouth College and Indian Institute of Technology, Madras.
Unlike traditional datawarehouses, Google BigQuery provides a true serverless platform that enables data analysts to ingest and analyze at petabyte scale. Dive deep into the architecture driving the smart analytics and learn about the uses cases in machine learning, geospatial & real-time analysis.
Data analysis at scale requires faster and larger systems for data warehousing and processing. Google BigQuery is a cloud-based big data analytics service offered by Google Cloud Platform for processing very large petabyte-scale data sets without any configuration overhead. Data analysts can analyze data of the order of billions of rows in BigQuery using standard SQL. In this session, we will provide an overview of the serverless architecture that enable the petabyte scale performance of BigQuery. We also cover the unique capabilities of BigQuery that allow analyts to train and use machine learning models using standard SQL, enable querying of geospatial data and ingest streaming data to provide realtime insight.