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.
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
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IT professionals who want to become Azure Data Engineer
Requirements
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All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey
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Knowledge of cloud fundamentals will be beneficial, but not necessary
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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
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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
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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?
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