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：
Introduction to Designing Data Lakes on AWS
Amazon Web Servicesこのコースについて
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柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
中級レベル
約14時間で修了
英語
字幕：英語
学習内容
- 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?
習得するスキル
- Data Science
- Analytics
- Big Data
- Data Lake
- Amazon Web Services (Amazon AWS)
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
中級レベル
約14時間で修了
英語
字幕：英語
提供：
Amazon Web Services
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.
シラバス - 本コースの学習内容
2時間で修了
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.
2時間で修了
8件のビデオ （合計29分）, 5 学習用教材, 1 個のテスト
4時間で修了
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.
4時間で修了
9件のビデオ （合計45分）, 4 学習用教材, 2 個のテスト
3時間で修了
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.
3時間で修了
9件のビデオ （合計58分）, 3 学習用教材, 2 個のテスト
5時間で修了
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.
5時間で修了
10件のビデオ （合計70分）, 5 学習用教材, 3 個のテスト
レビュー
- 5 stars76.04%
- 4 stars15.62%
- 3 stars8.33%
INTRODUCTION TO DESIGNING DATA LAKES ON AWS からの人気レビュー
GNにより2021年1月17日
It is a very good course with practical classes too
HGにより2021年2月18日
I Loved it, just that is only a beginner course, I would like to have more courses like this one, so we can keep up with AWS and data lakes.
VLにより2022年1月18日
Good introdoctory course to AWS services, labs are top
VAにより2021年4月8日
liked so far, good speed and good to know knowledge about the product offering and concepts.
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