Unlocking Self-Service Big Data Analytics on AWS

Опубликовано 18 августа 2016, 18:16

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Storing, accessing, and analyzing large amounts of data from diverse sources and making it easily accessible to deliver actionable insights for users can be challenging for data driven organizations. The solution for customers is to optimize scaling and create a unified interface to simplify analysis. Qubole helps customers simplify their big data analytics with speed and scalability, while providing data analysts and scientists self-service access on the AWS Cloud. Join Qubole and AWS to discuss how Auto Scaling and Amazon EC2 Spot pricing can enable customers to efficiently turn data into insights. We'll talk about best practices for migrating from an on-premises Big Data architecture to the AWS Cloud.

Join us to learn:
• Learn how to more easily create elastic Hadoop, Spark, and other Big Data clusters for dynamic, large-scale workloads
• Best practices for Auto Scaling and Amazon EC2 Spot instances for cost optimization of Big Data workloads
• Best practices for deploying or migrating to Big Data on the AWS

Cloud Who should attend: IT Administrators, IT Architects, Data Warehouse Developers, Database Administrators, Business Analysts and Data Architects