Скачать с ютуб Set Up and Use Apache Iceberg Tables on Your Data Lake - AWS Virtual Workshop в хорошем качестве

Set Up and Use Apache Iceberg Tables on Your Data Lake - AWS Virtual Workshop

Data lakes are critical to an organization's success and it's important to pick a data lake table format to give you the right capabilities and performance to get the most out of your data. Many customers are turning to Apache Iceberg, a data lake table format, to improve the performance of their data lake and to adopt enhanced capabilities such as time-travel queries and concurrent updates. In this workshop, we will introduce you to Apache Iceberg and show you how to get started with Apache Iceberg on AWS using Amazon EMR and Amazon Athena. We will go through step-by-step demonstrations of reading data, writing data, and more using the Apache Iceberg format. Learning Objectives: Objective 1: Learn about Apache Iceberg and key fundamentals of transactional data lakes. Objective 2: Read, write, update, and delete data using the Apache Iceberg format in both Amazon EMR and Amazon Athena. Objective 3: Explore concepts such as ACID transactions and time-travel queries. ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/emr/ ****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Analytics-... Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTec... Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch:   / aws   Twitter:   / awsdevelopers   Facebook:   / amazonwebservices   Instagram:   / 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