Azure Data Engineering
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Combo Package of AzureDataEngineer - Membership | OneTime Payment | LifeTime Access |

This package course contains a total of 12 courses that help you to prepare for the Azure Data Engineer role.

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Language: English

In this comprehensive course titled "Learn Python, Build Azure End-End Project, Deep Dive in Delta with project, RealTime Scenarios of Azure Data Factory, Databricks, and PySpark," you will gain the necessary skills and knowledge to become proficient in Python programming language and create a full-fledged Azure project. Throughout the course, you will dive deep into the concepts of Azure Data Factory, Databricks, and PySpark. You will explore real-time scenarios and learn how to apply these technologies to solve practical problems. The course is designed to provide a hands-on learning experience, as you will embark on building an end-to-end Azure project. You will learn how to leverage the power of Python to develop efficient and scalable solutions. Specifically, you will learn:

1. 𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬 𝐰𝐢𝐭𝐡 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦: Gain a strong foundation in Python programming language, including variables, data types, operators, loops, functions, and more.

2. 𝐑𝐞𝐚𝐥𝐭𝐢𝐦𝐞 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 𝐨𝐟 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐅𝐚𝐜𝐭𝐨𝐫𝐲: Understand the concepts and architecture of Azure Data Factory, a cloud-based data integration service, and learn how to create data pipelines to transform and process data.

3. 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐰𝐢𝐭𝐡 𝐏𝐲𝐒𝐩𝐚𝐫𝐤: Explore Databricks, an analytics platform powered by Apache Spark, and learn how to use it for big data processing and analysis.

4. 𝐃𝐞𝐥𝐭𝐚 𝐋𝐚𝐤𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐮𝐬𝐢𝐧𝐠 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬: Deep dive into Delta Lake, an open-source storage layer that brings reliability and performance enhancements to Apache Spark and big data workloads.

5. 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨𝐬 𝐨𝐟 𝐋𝐨𝐠𝐢𝐜 𝐀𝐩𝐩: Apply your skills to real-time scenarios, such as building data pipelines, transforming data, handling different file formats, integrating with other Azure services, and more. By the end of this course, you will have a solid understanding of Python programming, Azure Data Factory, Databricks, and PySpark.

6. 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐁𝐚𝐬𝐞𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐨𝐧 𝐀𝐳𝐮𝐫𝐞: Build End to End Project using Azure service

7. 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐟𝐚𝐛𝐫𝐢𝐜: Understand the power of Microsoft fabric.
8. 𝐀𝐳𝐮𝐫𝐞 𝐒𝐲𝐧𝐚𝐩𝐬𝐞: Deep Dive in Azure synapse analytics.
9. 𝐑𝐞𝐚𝐥𝐭𝐢𝐦𝐞 𝐬𝐜𝐞𝐧𝐚𝐫𝐢𝐨 𝐛𝐚𝐬𝐞𝐝 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐚𝐧𝐝 𝐏𝐲𝐒𝐩𝐚𝐫𝐤: Prepare interview questions and build utilities in PySpark and Databricks

 

What you’ll get in this package

Build End to End Azure Data Engineering Project

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Build Real-Time DeltaLake Project using PySpark and Spark-SQL with Databricks

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Databricks Certified Data Engineer - Zero to Hero
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