In this class, Introduction to Designing Data Lakes on AWS, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science! Starting with the "WHY" you may want a data lake, we will look at the Data-Lake value proposition, characteristics and components.
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Introduction to Designing Data Lakes on AWS
亚马逊网络服务系统课程信息
18,507 次近期查看
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可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
中级
完成时间大约为14 小时
英语（English）
字幕：英语（English）
您将学到的内容有
- Where to start with a Data Lake?
- How to build a secure and scalable Data Lake?
- What are the common components of a Data Lake?
- Why do you need a Data Lake and what it's value?
您将获得的技能
- Data Science
- Analytics
- Big Data
- Data Lake
- Amazon Web Services (Amazon AWS)
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
中级
完成时间大约为14 小时
英语（English）
字幕：英语（English）
提供方
亚马逊网络服务系统
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.
授课大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Week 1
Welcome to the course! In Week 1, you'll discover why you may want a Data Lake, its characteristics and components, and how it compares to other data data scenarios, such as databases and data warehouses.
完成时间为 2 小时
8 个视频 （总计 29 分钟）, 5 个阅读材料, 1 个测验
完成时间为 4 小时
Week 2
in Week 2, you'll build on your knowledge of what data lakes are and why they may be a solution for your needs. You'll explore AWS services that can be used in data lake architectures, like Amazon S3, AWS Glue, Amazon Athena, Amazon Elasticsearch Service, LakeFormation, Amazon Rekognition, API Gateway and other services used for data movement, processing and visualization.
完成时间为 4 小时
9 个视频 （总计 45 分钟）, 4 个阅读材料, 2 个测验
完成时间为 3 小时
Week 3
In Week 3, you'll explore specifics of data cataloging and ingestion, and learn about services like AWS Transfer Family, Amazon Kinesis Data Streams, Kinesis Firehose, Kinesis Analytics, AWS Snow Family, AWS Glue Crawlers, and others. You'll also discover when is the right time to process data--before, after, or while data is being ingested. Given scenarios, you'll be able to easily identify when to process data and match the most appropriate AWS services to each scenario.
完成时间为 3 小时
9 个视频 （总计 58 分钟）, 3 个阅读材料, 2 个测验
完成时间为 5 小时
Week 4
In Week 4, you are going to dive deeper into data optimization and data processing. Demos around best practices will show you how to optimize your dataset for performance and cost--just by using the right tool for the job! You will also discover data security, data visualization tools, and AWS datasets you can use to experiment and get started.
完成时间为 5 小时
10 个视频 （总计 70 分钟）, 5 个阅读材料, 3 个测验
审阅
- 5 stars76.04%
- 4 stars15.62%
- 3 stars8.33%
来自INTRODUCTION TO DESIGNING DATA LAKES ON AWS的热门评论
由 VL 提供Jan 18, 2022
Good introdoctory course to AWS services, labs are top
由 AA 提供Mar 22, 2022
Exactly beneficial for those who are seeking to understand the basics of data analytics services
由 MT 提供Apr 8, 2021
Great course, great instructors, I learned a lot. Thanks.
由 DT 提供Jan 16, 2021
I liked the class. The labs were good for getting the message across.
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