Microsoft Azure Databricks for Data Engineering

Microsoft Azure Databricks for Data Engineering, available at Free, has an average rating of 4.27, with 9 lectures, based on 227 reviews, and has 7127 subscribers.

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You will learn about You will learn how to build a real world data project using Azure Databricks and Spark Core. You will learn how to transform and analyse data using Spark SQL in Azure Databricks You will learn how to create Azure Data Factory pipelines to execute Databricks notebooks You will acquire professional level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2 and Azure Data Factory (ADF) This course is ideal for individuals who are Introduction of Azure Data engineering Implement and manage various Azure data storage options or IT developers working on other disciplines trying to move to Data Engineering It is particularly useful for Introduction of Azure Data engineering Implement and manage various Azure data storage options or IT developers working on other disciplines trying to move to Data Engineering.

Enroll now: Microsoft Azure Databricks for Data Engineering

Summary

Title: Microsoft Azure Databricks for Data Engineering

Price: Free

Average Rating: 4.27

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

You will learn how to build a real world data project using Azure Databricks and Spark Core.

You will learn how to transform and analyse data using Spark SQL in Azure Databricks

You will learn how to create Azure Data Factory pipelines to execute Databricks notebooks

You will acquire professional level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2 and Azure Data Factory (ADF)

Who Should Attend

Introduction of Azure Data engineering Implement and manage various Azure data storage options

IT developers working on other disciplines trying to move to Data Engineering

Target Audiences

Introduction of Azure Data engineering Implement and manage various Azure data storage options

IT developers working on other disciplines trying to move to Data Engineering

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.

Course Curriculum

Chapter 1: Module-1 Azure Databricks

Lecture 1: Introduction of the course

Lecture 2: Understanding Azure Databricks

Lecture 3: Spark Basics

Lecture 4: Azure Databricks Workspace

Lecture 5: Running Notebooks with Spark Transformation

Lecture 6: Accessing BLOB Data in ADB Notebooks

Lecture 7: Sample Notebooks

Lecture 8: 6 Integrating ADF with ADB Notebooks using Job Clusters

Lecture 9: Azure Databricks Roadmap

Instructors

Maruti Makwana
MCT-Corporate Trainer

Rating Distribution

1 stars: 5 votes

2 stars: 6 votes

3 stars: 32 votes

4 stars: 77 votes

5 stars: 107 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!