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Analytics in 15: Simplify Data Discovery with Amazon Redshift Query Editor- AWS Analytics in 15

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Amazon Redshift Query Editor V2 allows users to browse and explore multiple databases, external tables, views, stored procedures, and user-defined functions. It makes it easy to gain insights by visualizing results, and collaborating with team members. Join this session to learn more about these features and more of Query Editor V2.
Learning Objectives:
* Objective 1: See how you can easily run and schedule queries on databases hosted on an Amazon Redshift cluster.
* Objective 2: Learn how you can reduce time to insight using the Redshift Query Editor.
* Objective 3: Understand how to collaborate with team members by easily sharing saved queries, results, and analyses in a secure way.
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☁️ 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
Learning Objectives:
* Objective 1: See how you can easily run and schedule queries on databases hosted on an Amazon Redshift cluster.
* Objective 2: Learn how you can reduce time to insight using the Redshift Query Editor.
* Objective 3: Understand how to collaborate with team members by easily sharing saved queries, results, and analyses in a secure way.
Follow Amazon Web Services:
☁️ 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
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