The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.
Ce cours fait partie de la Nombre de Data Engineering with Google Cloud Certificat Professionnel
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Approx. 9 heures pour terminer
Anglais
Sous-titres : Anglais, Espagnol
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 6 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 9 heures pour terminer
Anglais
Sous-titres : Anglais, Espagnol
Offert par
Google Cloud
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Programme du cours : ce que vous apprendrez dans ce cours
7 minutes pour terminer
Introduction
This module gives an introduction of the Data Engineering specialization and the course.
7 minutes pour terminer
2 vidéos (Total 7 min)
2 heures pour terminer
Introduction to Data Engineering
This module describes the role of a data engineer and motivates the claim why data engineering should be done in the Cloud
2 heures pour terminer
13 vidéos (Total 55 min)
13 vidéos
Analyze data engineering challenges8 min
Intro to BigQuery3 min
Data Lakes and Data Warehouses5 min
Demo: Federated Queries with BigQuery6 min
Transactional Databases vs Data Warehouses4 min
Partner effectively with other data teams6 min
Manage data access and governance2 min
Demo: Finding PII in your dataset with DLP API1 min
Build production-ready pipelines2 min
Review GCP customer case study3 min
Recap1 min
Lab Intro: Using BigQuery to do Analysis17s
1 exercice pour s'entraîner
Introduction to Data Engineering30 min
2 heures pour terminer
Building a Data Lake
In this module, we describe what data lake is and how to use Google Cloud Storage as you data lake on GCP
2 heures pour terminer
10 vidéos (Total 58 min)
10 vidéos
Data Storage and ETL options on GCP4 min
Building a Data Lake using Cloud Storage10 min
Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions7 min
Securing Cloud Storage5 min
Storing All Sorts of Data Types5 min
Demo: Running federated queries on Parquet and ORC files in BigQuery4 min
Storing Relational Data in the Cloud1 min
Cloud SQL as a relational Data Lake7 min
Lab: Loading Taxi Data into Cloud SQL27s
1 exercice pour s'entraîner
Building a Data Lake4 min
4 heures pour terminer
Building a data warehouse
In this module, we talk about BigQuery as a data warehousing option on GCP
4 heures pour terminer
20 vidéos (Total 112 min), 1 lecture, 3 quiz
20 vidéos
Intro to BigQuery1 min
Demo: Querying TB of Data in seconds7 min
Getting Started9 min
Loading Data11 min
Lab Intro: Loading Data into BigQuery21s
Exploring Schemas24s
Demo: Exploring Schemas10 min
Schema Design3 min
Nested and Repeated Fields8 min
Demo: Nested and Repeated Fields15 min
Lab Intro: Working with JSON and Array Data in BigQuery13s
Optimizing with Partitioning and Clustering5 min
Demo: Creating Partitioned Tables7 min
Demo: Partitioning and Clustering6 min
Preview: Transforming Batch and Streaming Data2 min
Recap1 min
Monitoring BigQuery usage and reservations5 min
Intro to BigQuery System Table Reports6 min
Demo: BigQuery System Tables with Data Studio7 min
1 lecture
BigQuery Pricing 10 min
1 exercice pour s'entraîner
Building a Data Warehouse4 min
2 minutes pour terminer
Summary
This module reviews all the topics covered in the course
2 minutes pour terminer
1 vidéo (Total 2 min)
1 vidéo
Course Summary1 min
Avis
Meilleurs avis pour MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GCP
par AA14 févr. 2020
Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.
par FM16 avr. 2020
A better understanding of BigQuery starts here. A vital resource for consultants, data analysts, and product managers, and an important reference source for engineers and data scientists.
par BA8 févr. 2020
The course offers a nice description of what modern DWH means, which are the differences between classic DWH and cloud DWH. You have the chance to work with the new cloud concept on GCP.
par ME29 août 2020
I really like how the Google courses do not overwhelm the learner with too much information. The information was presented well and the labs were very practical with clear instructions.
À propos du Nombre de Data Engineering with Google Cloud Certificat Professionnel
87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career, and training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer certification.
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