Companies are growing increasingly aware of how valuable their data can be for driving critical business decisions. Big Data insights allow organizations to identify new sources of growth, accelerate innovation, and mitigate risk. To store and analyze their data, organizations typically rely on either data warehouses or data lakes with varying levels of success.
We'll share our best practices around creating AWS Data Lake and Lake House architectures by using tools like Amazon Redshift, AWS Glue, Amazon Kinesis, Amazon S3, Amazon Athena and more. Attend our webinar to learn how to solve most common data challenges in the most cost-effective and efficient way.
• Understanding modern data challenges
• Solving data challenges with AWS tools
• Gaining insights faster (BI, AI, ML)
• Three ways to save time and cost
• Unlocking the value of your data
Solutions Architect (ClearScale)
Ben is a Solutions Architect at ClearScale focusing on DevOps and Cloud Architecture. He is committed to designing and implementing the most cost-effective and efficient cloud architectures for multiple software systems and working with the teams to support and deploy those applications.