Saltar al contenido
Portada » Udemy Gratis: Microsoft Azure Databricks for Data Engineering – Udemy Free

Udemy Gratis: Microsoft Azure Databricks for Data Engineering – Udemy Free

Azure Databricks platform to run large data engineering workloads in the cloud

Microsoft Azure Databricks for Data Engineering

Idioma

English

Descripción

In this course, you will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.

You will discover the capabilities of Azure Databricks and the Apache Spark notebook for processing huge files. You will come to understand the Azure Databricks platform and identify the types of tasks well-suited for Apache Spark. You will also be introduced to the architecture of an Azure Databricks Spark Cluster and Spark Jobs. You will work with large amounts of data from multiple sources in different raw formats. you will learn how Azure Databricks supports day-to-day data-handling functions, such as reads, writes, and queries. This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure . You will take a practice exam that covers key skills measured by the certification exam. This is the eighth course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam.

Intended Audience

IT professionals who want to become Azure Data Engineer

Requirements

All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey

Knowledge of cloud fundamentals will be beneficial, but not necessary

Azure subscription will be required, If you don’t have one we will create a free account in the course

Intended Audience

IT professionals who want to become Azure Data Engineer

IT professionals preparing for Microsoft’s DP-203 exam

Prerequisites

General knowledge of IT architecture

If you are confused somewhere or need expert guidance then Do Not Worry Our Experienced Mentors are just a call away.



Para más cursos Gratis y para ver los que siguen así visita nuestra aplicación web UFree.

Descarga la aplicación oficial!

Cupón Udemy: GCP PCA – Google Professional Cloud Architect – Udemy Coupon
Cupón Udemy: GCP PCA – Google Professional Cloud Architect – Udemy Coupon

Prepare for the exam as a Google Professional Cloud Architect - GCP PCA 2022! GCP PCA - Google Professional Cloud Read more

Udemy Gratis: Java Fundamentals for Beginners – Udemy Free
Udemy Gratis: Java Fundamentals for Beginners – Udemy Free

Learn Java Fundamentals In This Course And Become a Java Computer Programmer. Java Fundamentals for Beginners Idioma English Descripción Java Read more

Cupón Udemy: The BEST Bitcoin Trading Course for ALL Levels! (2023) – Udemy Coupon
Cupón Udemy: The BEST Bitcoin Trading Course for ALL Levels! (2023) – Udemy Coupon

Learn the proven steps to trade Bitcoin that have turned numerous ordinary people into MILLIONAIRES over the years! The BEST Read more

Udemy Gratis: Curso Fundamental de .NET 7 MVC – Udemy Free
Udemy Gratis: Curso Fundamental de .NET 7 MVC – Udemy Free

Aprende los fundamentos de .NET 7 MVC: Code First, Modelos, Migraciones, Páginas Razor, Extensiones Nuget, TempData Curso Fundamental de .NET Read more

Deja una respuesta

Tu dirección de correo electrónico no será publicada. Los campos obligatorios están marcados con *