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.
提供方
Introduction to Designing Data Lakes on AWS
亚马逊网络服务系统課程信息
18,507 次近期查看
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可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
完成時間大約為14 小時
英語（English）
字幕：英語（English）
您將學到的內容有
- 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?
您將獲得的技能
- Data Science
- Analytics
- Big Data
- Data Lake
- Amazon Web Services (Amazon AWS)
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
完成時間大約為14 小時
英語（English）
字幕：英語（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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
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.
完成時間為 2 小時
8 個視頻 （總計 29 分鐘）, 5 個閱讀材料, 1 個測驗
完成時間為 4 小時
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.
完成時間為 4 小時
9 個視頻 （總計 45 分鐘）, 4 個閱讀材料, 2 個測驗
完成時間為 3 小時
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.
完成時間為 3 小時
9 個視頻 （總計 58 分鐘）, 3 個閱讀材料, 2 個測驗
完成時間為 5 小時
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.
完成時間為 5 小時
10 個視頻 （總計 70 分鐘）, 5 個閱讀材料, 3 個測驗
審閱
- 5 stars76.04%
- 4 stars15.62%
- 3 stars8.33%
來自INTRODUCTION TO DESIGNING DATA LAKES ON AWS的熱門評論
由 VL 提供2022年1月18日
Good introdoctory course to AWS services, labs are top
由 AA 提供2022年3月22日
Exactly beneficial for those who are seeking to understand the basics of data analytics services
由 MT 提供2021年4月8日
Great course, great instructors, I learned a lot. Thanks.
由 DT 提供2021年1月16日
I liked the class. The labs were good for getting the message across.
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Will this course help me prepare for an AWS Certification?
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