Getting Started with Amazon Redshift - AWS Online Tech Talks

Video Description

Companies are looking for ways to efficiently analyze all their data. Join this online tech talk to learn how to get started with Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to perform analytics at scale. Redshift is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions. We’ll introduce you to the latest trends driving tens of thousands of customers to choose Amazon Redshift, and share the new features and capabilities that set Redshift apart. You’ll learn how to create a new data warehouse, ingest data, and start analyzing your structured and unstructured data. We will share tips and tricks on how you can perform analytics at scale. Learning Objectives: *Learn about Amazon Redshift and the AWS approach to data warehousing *Learn how to create a new data warehouse, ingest data, and analyze structured and unstructured data *Hear tips and tricks for performing analytics at scale ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/redshift/ Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: https://twitch.tv/aws Twitter: https://twitter.com/awsdevelopers Facebook: https://facebook.com/amazonwebservices Instagram: https://instagram.com/amazonwebservices ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS