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Rafael Lopes 另外 +1 位授课教师

顶尖授课教师

9,809 人已注册

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Introduction to Designing Data Lakes on AWS

亚马逊网络服务系统

课程信息

19,572 次近期查看

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.
Designing a data lake is challenging because of the scale and growth of data. Developers need to understand best practices to avoid common mistakes that could be hard to rectify. In this course we will cover the foundations of what a Data Lake is, how to ingest and organize data into the Data Lake, and dive into the data processing that can be done to optimize performance and costs when consuming the data at scale. This course is for professionals (Architects, System Administrators and DevOps) who need to design and build an architecture for secure and scalable Data Lake components. Students will learn about the use cases for a Data Lake and, contrast that with a traditional infrastructure of servers and storage.

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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12 小时

英语（English）

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体验 Coursera 企业版

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12 小时

英语（English）

对员工进行热门技能培训能否为您的公司带来益处？

体验 Coursera 企业版

授课教师

授课教师评分

4.82/5 （44 个评分）

Rafael Lopes

Senior Cloud Technologist

AWS Training & Certification

52,962 个学生

7 门课程

Morgan Willis
顶尖授课教师

Senior Cloud Technologist

AWS Training & Certification

492,081 个学生

16 门课程

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.

Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations. Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow. To learn more about AWS, visit https://aws.amazon.com.

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授课大纲 - 您将从这门课程中学到什么

周

周 1

完成时间为 2 小时

Week 1

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

8 个视频

Introduction to Designing Data Lakes in AWS3分钟

Meet the Instructors1分钟

Introduction to Week 12分钟

Why Data Lakes3分钟

Characteristics of Data Lakes2分钟

Data Lakes Components5分钟

Comparison of a Data Lake to a Data Warehouse4分钟

Discussing Sample Data Lake Architectures5分钟

5 个阅读材料

Course Welcome and Student Information10分钟

Pre-Course Survey2分钟

Data Lake Characteristics and Components15分钟

Data Lakes and Data Warehouses20分钟

Mid-Course Survey2分钟

1 个练习

Week 1 Quiz20分钟

周

周 2

完成时间为 3 小时

Week 2

完成时间为 3 小时

9 个视频（总计 45 分钟）, 5 个阅读材料, 1 个测验

9 个视频

Introduction to Week 255

AWS Data Lake Related Services4分钟

Amazon S35分钟

AWS Glue Data Catalog4分钟

AWS Services Used for Data Movement8分钟

AWS Services for Data Processing6分钟

AWS Services for Analytics6分钟

AWS Services for Predictive Analytics and Machine Learning5分钟

Introduction to AWS LakeFormation3分钟

5 个阅读材料

Amazon S3 and Glue Data Catalog15分钟

Data Movement20分钟

EMR, Glue Jobs, Lambda, Kinesis Analytics, RedShift20分钟

AWS Lake Formation15分钟

Exercise 1: Creating an Amazon OpenSearch Service Cluster20分钟

1 个练习

Week 2 Quiz20分钟

周

周 3

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）, 4 个阅读材料, 1 个测验

9 个视频

Introduction to Week 31分钟

Use the Right Tool for the Job4分钟

Understanding Data Structure and When To Process Data6分钟

Data Streaming Ingestion With Kinesis Services8分钟

Batch Data Ingestion with AWS Transfer Family13分钟

Batch Data Ingestion with AWS Snow Family3分钟

Data Cataloging5分钟

Using Glue Crawlers12分钟

Reviewing the Ingestion Part in Data Lake Architectures3分钟

4 个阅读材料

Diving Deep on Amazon Kinesis15分钟

Batch Data Ingestion with AWS Services15分钟

The Importance of Data Cataloging15分钟

Exercise 2: Amazon Kinesis20分钟

1 个练习

Week 3 Quiz20分钟

周

周 4

完成时间为 4 小时

Week 4

完成时间为 4 小时

10 个视频（总计 70 分钟）, 5 个阅读材料, 2 个测验

10 个视频

Introduction to Week 440

Data Prep and AWS Glue Jobs9分钟

File Optimizations5分钟

Using S3, Glue and Athena to Get Insights about NYC Taxi Data14分钟

Introduction to Data Lake Security9分钟

The Power of Data Visualization4分钟

Introduction to Amazon QuickSight7分钟

Amazon QuickSight Demo11分钟

Registry of Open Data on AWS5分钟

Course Wrap Up1分钟

5 个阅读材料

Columnar Data Formats and Amazon Athena Optimizations10分钟

Security and Compliance10分钟

Data visualization, Amazon QuickSight20分钟

Registry of Open Data10分钟

Post-Course Survey2分钟

2 个练习

Week 4 Quiz20分钟

Final Assessment40分钟

审阅

4.6

41 条评论

5 stars
71.18%
4 stars
18.64%
3 stars
8.47%
2 stars
0.84%
1 star
0.84%

来自INTRODUCTION TO DESIGNING DATA LAKES ON AWS的热门评论

由 HG 提供Feb 18, 2021

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.

由 AA 提供Mar 22, 2022

Exactly beneficial for those who are seeking to understand the basics of data analytics services

由 VA 提供Apr 8, 2021

liked so far, good speed and good to know knowledge about the product offering and concepts.

由 DT 提供Jan 16, 2021

I liked the class. The labs were good for getting the message across.

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Do I need a credit card to create an AWS Account?
Yes, you will need a credit card to activate your AWS account.
Will I receive a certificate for this course?
Learners enrolled in the Verified Certificate path will receive a certificate upon successful completion of the course.
How are discussions used in this course?
This course has discussion groups aligned to each week of the course. We encourage learners to ask questions or offer suggestions and feedback. AWS Instructors will monitor the discussion groups to answer questions specific to the exercises and topics covered in the course.
Will this course help me prepare for an AWS Certification?
Earning an AWS Certification typically requires both knowledge and experience. While this course, if taken in isolation, will provide you with relevant information and skills, it likely will not equip you to earn an AWS Certification. For more information about AWS Certifications, including recommended training and experience requirements, visit aws.amazon.com/certification.

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Introduction to Designing Data Lakes on AWS

Introduction to Designing Data Lakes on AWS

课程信息

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您将获得的技能