À propos de ce cours : This 1-week, accelerated course builds upon previous courses in the Data Engineering on Google Cloud Platform specialization. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to create and manage computing clusters to run Hadoop, Spark, Pig and/or Hive jobs on Google Cloud Platform. You will also learn how to access various cloud storage options from their compute clusters and integrate Google’s machine learning capabilities into their analytics programs. In the hands-on labs, you will create and manage Dataproc Clusters using the Web Console and the CLI, and use cluster to run Spark and Pig jobs. You will then create iPython notebooks that integrate with BigQuery and storage and utilize Spark. Finally, you integrate the machine learning APIs into your data analysis. Pre-requisites • Google Cloud Platform Big Data & Machine Learning Fundamentals (or equivalent experience) • Some knowledge of Python

Les destinataires de ce cours : This class is intended for data analysts, data scientists and programmers who want to migrate Hadoop and Spark workloads onto Google Cloud Platform and also learn how leverage Google’s infrastructure and machine learning API’s to enhance the power of big data processing applications.

Créé par : Google Cloud

Informations de base	Cours 2 de 5 dans Data Engineering on Google Cloud Platform Specialization
Niveau	Intermediate
Engagement	1 week of study, 5-7 hours/week
Langue	English
Matériel requis	You'll need a Google Cloud Platform Free Trial account. Sign up at: https://cloud.google.com/free/
Comment réussir	Réussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs	4.4 étoiles Note moyenne des utilisateurs 4.4Voir ce que disent les étudiants

Prévisualiser

Programme de cours

SEMAINE 1

Module 1: Introduction to Cloud Dataproc

15 vidéos, 1 lecture

Vidéo: Why Unstructured Data?
Vidéo: What Data Do Enterprises Analyze?
Vidéo: Even Google Skipped Unstructured Data
Vidéo: Considering Counting Problems
Vidéo: Why Cloud Dataproc?
Vidéo: Cluster Provisioning Considerations
Vidéo: Imagine Your Cluster Provisioning
Vidéo: Dataproc Eases Hadoop Management
Vidéo: Create a Cluster from the Web
Vidéo: Cluster Configurations and Preemptible Workers
Vidéo: Customizing a Dataproc Cluster
Vidéo: Lab Overview for creating a Dataproc Cluster
Vidéo: Lab Objectives for creating a Dataproc Cluster
Leitura: Codelab – Leveraging Unstructured Data, Part 1
Vidéo: Lab "Creating a Dataproc Cluster " Review
Vidéo: Creating Custom Machine Types

Noté: Module 1 Quiz

Module 2: Running Dataproc jobs

13 vidéos, 2 lectures

Vidéo: Overview of Running Dataproc Jobs
Vidéo: Why SSH into a Cluster?
Vidéo: Lab Overview
Vidéo: Lab Objectives
Leitura: Codelab – Leveraging Unstructured Data, Part 2
Vidéo: Lab Review
Vidéo: Separation of Storage and Compute
Vidéo: Problem of Compute and Storage Rigidity: Scenario 1
Vidéo: Problem of Compute and Storage Rigidity - Scenario 2
Vidéo: Moving to a Serverless World
Vidéo: Submitting Jobs with Dataproc and Cloud Shell
Vidéo: Lab Overview
Vidéo: Lab Objectives
Leitura: Codelab – Leveraging Unstructured Data, Part 3
Vidéo: Lab Review

Noté: Module 2 Quiz

Module 3: Leveraging GCP

10 vidéos, 1 lecture

Vidéo: Introduction to Leveraging GCP
Vidéo: Leveraging Google Cloud Platform Pt. 1
Vidéo: Leveraging Google Cloud Platform Pt. 2
Vidéo: Dataproc vs. Metadata Server
Vidéo: Lab Intro
Vidéo: Lab Objectives
Leitura: Codelab – Leveraging Unstructured Data, Part 4
Vidéo: Lab Review
Vidéo: Why Process BigQuery Data in Spark?
Vidéo: BigQuery Support
Vidéo: Tips for Interacting with BigQuery

Noté: Module 3 Quiz

Module 4: Analyzing Unstructured Data

4 vidéos, 1 lecture

Vidéo: Introduction to Analyzing Unstructured Data
Vidéo: Infuse Your Business with Machine Learning
Vidéo: Lab Objectives
Leitura: Codelab – Leveraging Unstructured Data, Part 5
Vidéo: Lab Review

Noté: Module 4 Quiz

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Comment cela fonctionne

Trabalho

Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.

Ajuda dos seus colegas

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Certificados

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Créateurs

Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

Tarification

	Acheter le cours
Accéder au contenu du cours	Disponible
Accéder au contenu noté	Disponible
Recevoir une Note Finale	Disponible
Obtenir un Certificat de Cours partageable	Disponible

Notation et examens

Note moyenne 4.4 sur 5 sur 765 notes

Some unnecessary repetition of content before a lab starts (objectives and whatnot).

Most of the thing are good, just one thing to comment that video subtitles do not match with the audio pace.

Good intro into Dataproc. Only comment is that some of the menus on the training lab didn't' reflect the same menu I had. I managed to still figure it out.