4.6
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108 évaluations

Rafael Lopes +1 enseignant de plus

Enseignant de premier plan

9 257 déjà inscrits

Offert par

Introduction to Designing Data Lakes on AWS

Amazon Web Services

À propos de ce cours

18 242 consultations récentes

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.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Certificat partageable

Obtenez un Certificat lorsque vous terminez

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Niveau intermédiaire

Approx. 12 heures pour terminer

Anglais

Sous-titres : Anglais

Ce que vous allez apprendre

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?

Compétences que vous acquerrez

Data Science
Analytics
Big Data
Data Lake
Amazon Web Services (Amazon AWS)

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Certificat partageable

Obtenez un Certificat lorsque vous terminez

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Niveau intermédiaire

Approx. 12 heures pour terminer

Anglais

Sous-titres : Anglais

Enseignants

Évaluation de l'enseignant

4,82/5 (43 évaluations)

Rafael Lopes

Senior Cloud Technologist

AWS Training & Certification

48 970 étudiants

7 cours

Morgan Willis
Enseignant de premier plan

Senior Cloud Technologist

AWS Training & Certification

472 182 étudiants

16 cours

Offert par

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.

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.

Programme de cours : ce que vous apprendrez dans ce cours

Semaine

Semaine 1

2 heures pour terminer

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 heures pour terminer

8 vidéos (Total 29 min), 5 lectures, 1 quiz

8 vidéos

Introduction to Designing Data Lakes in AWS3 min

Meet the Instructors1 min

Introduction to Week 12 min

Why Data Lakes3 min

Characteristics of Data Lakes2 min

Data Lakes Components5 min

Comparison of a Data Lake to a Data Warehouse4 min

Discussing Sample Data Lake Architectures5 min

5 lectures

Course Welcome and Student Information10 min

Pre-Course Survey2 min

Data Lake Characteristics and Components15 min

Data Lakes and Data Warehouses20 min

Mid-Course Survey2 min

1 exercice pour s'entraîner

Week 1 Quiz20 min

Semaine

Semaine 2

3 heures pour terminer

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.

3 heures pour terminer

9 vidéos (Total 45 min), 5 lectures, 1 quiz

9 vidéos

Introduction to Week 255s

AWS Data Lake Related Services4 min

Amazon S35 min

AWS Glue Data Catalog4 min

AWS Services Used for Data Movement8 min

AWS Services for Data Processing6 min

AWS Services for Analytics6 min

AWS Services for Predictive Analytics and Machine Learning5 min

Introduction to AWS LakeFormation3 min

5 lectures

Amazon S3 and Glue Data Catalog15 min

Data Movement20 min

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

AWS Lake Formation15 min

Exercise 1: Creating an Amazon OpenSearch Service Cluster20 min

1 exercice pour s'entraîner

Week 2 Quiz20 min

Semaine

Semaine 3

3 heures pour terminer

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 heures pour terminer

9 vidéos (Total 58 min), 4 lectures, 1 quiz

9 vidéos

Introduction to Week 31 min

Use the Right Tool for the Job4 min

Understanding Data Structure and When To Process Data6 min

Data Streaming Ingestion With Kinesis Services8 min

Batch Data Ingestion with AWS Transfer Family13 min

Batch Data Ingestion with AWS Snow Family3 min

Data Cataloging5 min

Using Glue Crawlers12 min

Reviewing the Ingestion Part in Data Lake Architectures3 min

4 lectures

Diving Deep on Amazon Kinesis15 min

Batch Data Ingestion with AWS Services15 min

The Importance of Data Cataloging15 min

Exercise 2: Amazon Kinesis20 min

1 exercice pour s'entraîner

Week 3 Quiz20 min

Semaine

Semaine 4

4 heures pour terminer

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.

4 heures pour terminer

10 vidéos (Total 70 min), 5 lectures, 2 quiz

10 vidéos

Introduction to Week 440s

Data Prep and AWS Glue Jobs9 min

File Optimizations5 min

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

Introduction to Data Lake Security9 min

The Power of Data Visualization4 min

Introduction to Amazon QuickSight7 min

Amazon QuickSight Demo11 min

Registry of Open Data on AWS5 min

Course Wrap Up1 min

5 lectures

Columnar Data Formats and Amazon Athena Optimizations10 min

Security and Compliance10 min

Data visualization, Amazon QuickSight20 min

Registry of Open Data10 min

Post-Course Survey2 min

2 exercices pour s'entraîner

Week 4 Quiz20 min

Final Assessment40 min

Avis

4.6

39 avis

5 stars
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Meilleurs avis pour INTRODUCTION TO DESIGNING DATA LAKES ON AWS

par HG18 févr. 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.

par RO17 mai 2021

The system didn't allow me to work on the labs for weeks 3 and 4.

I tried it in 2 computers and no luck

par VA8 avr. 2021

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

par VL18 janv. 2022

Good introdoctory course to AWS services, labs are top

Voir tous les avis

Foire Aux Questions

Quand aurai-je accès aux vidéos de cours et aux devoirs ?
L’accès à des vidéos de cours et des devoirs dépend de votre type d’inscription. Si vous suivez un cours en mode auditeur libre, vous pourrez voir la plupart des contenus de cours gratuitement. Pour accéder aux devoirs notés et obtenir un certificat, vous devrez acheter une expérience de certificat, pendant ou après avoir assister au cours en tant qu’auditeur libre. Si vous ne visualisez pas l’option auditeur libre :
Il est possible que le cours ne propose pas d’option auditeur libre. Vous pouvez en revanche accéder à un essai gratuit ou faire une demande d'aide financière.
Le cours propose peut-être « Cours complet, aucun certificat » à la place. Cette option vous permet de voir tous les contenus de cours, de soumettre les évaluations requises et d'obtenir une note finale. Cependant, vous ne pourrez pas acheter une expérience de certificat.
À quoi ai-je droit si j'achète le Certificat ?
Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Une aide financière est-elle possible ?
Oui. Dans certains programmes d’apprentissage, vous pouvez demander une aide financière ou une bourse d’études si vous ne pouvez pas payer les frais d’inscription. Si une aide financière ou une bourse d’études est disponible pour le programme d’apprentissage choisi, vous trouverez un lien pour faire une demande sur la page de description.
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.

D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.

Introduction to Designing Data Lakes on AWS

Introduction to Designing Data Lakes on AWS