- Introduction of the course
- Understanding Azure Databricks
- Spark Basics
- Azure Databricks Workspace
- Running Notebooks with Spark Transformation
- Accessing BLOB Data in ADB Notebooks
- Sample Notebooks
- 6 Integrating ADF with ADB Notebooks using Job Clusters
- Azure Databricks Roadmap
What you'll 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)
Description
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.
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About the instructors
![Netcurso-Instructores](https://img-c.udemycdn.com/user/100x100/11599110_65a2_3.jpg)
- 4.42 Calificación
- 160214 Estudiantes
- 21 Cursos
Maruti Makwana
MCT-Corporate Trainer
I have been providing training on Microsoft and JavaScript technologies to IT corporates for the past 11+ years. I am now planning to make my lectures available online to reach a wider audience.
I am confident in my ability to simplify complex topics, and I would be delighted if people appreciated my videos and reached out to me with technology-related questions.
My areas of expertise include ASP.NET MVC 5, Microsoft Azure, SharePoint 2013, Windows Store Apps, AngularJS, KnockoutJS, WebGL, EmberJS, jQuery, HTML5, CSS3, WCF, WPF, and more.
Student feedback
Course Rating
Reviews
This the best course,short and clear.
Great overview of databricks