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Instructor principal

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Introduction to Designing Data Lakes on AWS

Amazon Web Services

Acerca de este Curso

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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.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Nivel intermedio

Aprox. 14 horas para completar

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

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?

Habilidades que obtendrás

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

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Nivel intermedio

Aprox. 14 horas para completar

Inglés (English)

Subtítulos: Inglés (English)

Instructores

Calificación del instructor

4,85/5 (32 calificaciones)

Rafael Lopes

Senior Cloud Technologist

AWS Training & Certification

17.302 alumnos

6 cursos

Morgan Willis
Instructor principal

Senior Cloud Technologist

AWS Training & Certification

406.430 alumnos

15 cursos

ofrecido por

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.

Programa - Qué aprenderás en este curso

Semana

Semana 1

2 horas para completar

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 horas para completar

8 videos (Total 29 minutos), 5 lecturas, 1 cuestionario

8 videos

Introduction to Designing Data Lakes in AWS3m

Meet the Instructors1m

Introduction to Week 12m

Why Data Lakes3m

Characteristics of Data Lakes2m

Data Lakes Components5m

Comparison of a Data Lake to a Data Warehouse4m

Discussing Sample Data Lake Architectures5m

5 lecturas

Course Welcome and Student Information10m

Pre-Course Survey2m

Data Lake Characteristics and Components15m

Data Lakes and Data Warehouses20m

Mid-Course Survey2m

1 ejercicio de práctica

Week 1 Quiz20m

Semana

Semana 2

4 horas para completar

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 horas para completar

9 videos (Total 45 minutos), 4 lecturas, 2 cuestionarios

9 videos

Introduction to Week 255s

AWS Data Lake Related Services4m

Amazon S35m

AWS Glue Data Catalog4m

AWS Services Used for Data Movement8m

AWS Services for Data Processing6m

AWS Services for Analytics6m

AWS Services for Predictive Analytics and Machine Learning5m

Introduction to AWS LakeFormation3m

4 lecturas

Amazon S3 and Glue Data Catalog15m

Data Movement20m

EMR, Glue Jobs, Lambda, Kinesis Analytics, RedShift20m

AWS Lake Formation15m

1 ejercicio de práctica

Week 2 Quiz20m

Semana

Semana 3

3 horas para completar

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 horas para completar

9 videos (Total 58 minutos), 3 lecturas, 2 cuestionarios

9 videos

Introduction to Week 31m

Use the Right Tool for the Job4m

Understanding Data Structure and When To Process Data6m

Data Streaming Ingestion With Kinesis Services8m

Batch Data Ingestion with AWS Transfer Family13m

Batch Data Ingestion with AWS Snow Family3m

Data Cataloging5m

Using Glue Crawlers12m

Reviewing the Ingestion Part in Data Lake Architectures3m

3 lecturas

Diving Deep on Amazon Kinesis15m

Batch Data Ingestion with AWS Services15m

The Importance of Data Cataloging15m

1 ejercicio de práctica

Week 3 Quiz20m

Semana

Semana 4

5 horas para completar

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 horas para completar

10 videos (Total 70 minutos), 5 lecturas, 3 cuestionarios

10 videos

Introduction to Week 440s

Data Prep and AWS Glue Jobs9m

File Optimizations5m

Using S3, Glue and Athena to Get Insights about NYC Taxi Data14m

Introduction to Data Lake Security9m

The Power of Data Visualization4m

Introduction to Amazon QuickSight7m

Amazon QuickSight Demo11m

Registry of Open Data on AWS5m

Course Wrap Up1m

5 lecturas

Columnar Data Formats and Amazon Athena Optimizations10m

Security and Compliance10m

Data visualization, Amazon QuickSight20m

Registry of Open Data10m

Post-Course Survey2m

2 ejercicios de práctica

Week 4 Quiz20m

Final Assessment40m

Reseñas

4.7

29 reseña

5 stars
76,31 %
4 stars
18,42 %
3 stars
5,26 %

Principales reseñas sobre INTRODUCTION TO DESIGNING DATA LAKES ON AWS

por HG18 de feb. de 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.

por RO17 de may. de 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

por RK11 de feb. de 2021

A very good first introductory course to data lakes and how to implement them using AWS services.

por VA8 de abr. de 2021

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

Ver todas las reseñas

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si compro el Certificado?
Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.
¿Hay ayuda económica disponible?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el vínculo de Ayuda económica que está debajo del botón 'Inscribirse' a la izquierda. Se te pedirá que completes una solicitud y recibirás una notificación cuando se apruebe. Obtén más información.
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