Description
Azure Databricks & Spark For Data Engineers (PySpark / SQL), Azure Databricks & Spark For Data Engineers training course, published by Udemy Academy. This course is taught by implementing a data engineering solution using Azure Databricks and Spark Core for a real project to analyze and report on Formula 1 racing data. After completing the included course and assignments, I strongly believe that you will have the ability to start a data engineering project and also be proficient in Azure Databricks. I have also included lessons on Azure Data Lake Storage Gen2, Azure Data Factory, as well as PowerBI. The main focus of this course is Azure Databricks and Spark Core, but it also covers related concepts and connections to the other technologies mentioned. Please note that this course does not cover other aspects of Spark such as SparkStream and SparkML.
Also, this course is taught using PySpark as well as Spark SQL and does not include Scala or Java. This course is run step-by-step with real project execution along with explaining technical concepts and creating Databricks notebooks simultaneously. Although this course is not specifically designed to teach you the skills needed to pass the Azure Data Engineering Technical Associate exam, it can go a long way in helping you acquire the skills you need to take the exam. I value your time as much as my own. Therefore, I have designed this course to be quick and hassle-free. Also, this course is taught in simple English without specialized terms. I start the course from the basics and by the end of the course you will be proficient in the technologies used.
What you will learn
- You will learn how to build a data project using Azure Databricks and Spark Core. This course is taught using real data from Formula 1 racing.
- You will gain professional-level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2, and Azure Data Factory.
- In Azure Databricks, you will learn how to create notebooks, dashboards, clusters, cluster pools, and jobs.
- You will learn how to store and transform data using PySpark on Azure Databricks.
- You will learn how to transform and analyze data using Spark SQL in Azure Databricks.
- You will learn about Data Lake and Lakehouse architecture. Also, you will learn how to implement a solution for Lakehouse architecture using Delta Lake.
Who is this course suitable for?
- University students looking for a career in data engineering
- IT developers who work on other fields and want to change careers to data engineering.
- Data engineers and data warehouse developers who are currently working on cloud-based technologies or other cloud platforms such as AWS or GCP and want to learn Azure Data Technologies.
- Data architects looking to learn Azure data engineering skills
Azure Databricks & Spark For Data Engineers (PySpark / SQL) course specifications
- Publisher: Udemy
- teacher : Ramesh Retnasamy
- English language
- Education level: all levels
- Number of courses: 164
- Training duration: 17 hours and 20 minutes
Azure Databricks & Spark For Data Engineers (PySpark / SQL) course chapters
Course prerequisites
- All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey
- Basic Python programming experience will be required
- Basic SQL knowledge will be required
- 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
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
Changes:
Version 2023/3 has not had any special changes in the topics and duration of training compared to version 2023/2.
download link
File(s) password: www.downloadly.ir
Size
3.74 GB
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