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. Watch the on-demand webinar sponsored by Qubole and AWS and listen to the discussion around how Auto Scaling and Amazon EC2 Spot pricing can enable customers to efficiently turn data into insights. The discussion also addresses best practices for migrating from an on-premises Big Data architecture to the AWS Cloud.
Watch the on-demand webinar to:
• 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 Watch:
IT Administrators, IT Architects, Data Warehouse Developers, Database Administrators, Business Analysts and Data Architects
Dharmesh (Dash) Desai, Technology Evangelist, Qubole
Rahul Bhartia, Solution Architect, AWS