Modernizing Data Lakes and Data Warehouses with Google Cloud (MDLDW)

 

Course Overview

The two main 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 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.

Quem deve participar

This course is intended for developers who are responsible for querying datasets, visualizing query results, and creating reports.

Specific job roles include:

  • Data engineer
  • Data analyst
  • Database administrators
  • Big data architects

Certificação

Este curso é parte das seguintes certificações:

Pré- requisitos

Basic proficiency with a common query language such as SQL.

Objetivos do Curso

  • Differentiate between data lakes and data warehouses.
  • Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.
  • Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.
  • Examine why data engineering should be done in a cloud environment.

Preços & Delivery methods

Treinamento online

Duração
1 dia

Preço
  • Solicitar orçamento
Classroom training

Duração
1 dia

Preço
  • Solicitar orçamento

Click on town name or "Online Training" to book Agenda

Instructor-led Online Training:   Este é um curso Instructor-Led Online
This is a FLEX course, which is delivered both virtually and in the classroom.

Europa

Alemanha

Este é um curso FLEX. Berlim Inscrever
Treinamento online Fuso horário: Central European Summer Time (CEST) Inscrever

Slovenia

Treinamento online Fuso horário: Central European Time (CET) Inscrever