• views: 53
• date: 29 July 2024
• posted by: voska89

Master Dedicated, Serverless, and Spark Pools of Azure Synapse from Beginner to Advanced through course
What you'll learn:
Master the core components of Azure Synapse Analytics, including Dedicated, Serverless, and Spark Pools.
Optimize the performance of Dedicated SQL Pools with advanced techniques like Partitioning, Materialized Views and effective Workload Management stratergies
Enhance security in Dedicated SQL Pools using Dynamic Data Masking, Column-level Security, Row-level Security and Encryption.
Perform efficient on-demand data queries and transformations with Serverless SQL Pools.
Gain hands-on experience with PySpark and Spark SQL in Spark Pools.
Implement and manage Data Lakehouse architecture and Delta Lake through practical labs.
Build a strong foundation in SQL and data fundamentals, making the course accessible to beginners.
Apply real-world data engineering tasks in Azure Synapse Analytics through hands-on labs and practical scenarios.
Requirements:
No pre-requisites needed. You'll learn everything you need to know.
Description:
Please note: If you are already enrolled in the course DP-203: Azure Data Engineer Associate - Beginner to Advanced, this course covers similar content and may not be necessary for you.This comprehensive course on Azure Synapse Analytics provides an in-depth exploration of its integrated ecosystem, focusing on Dedicated SQL Pools, Serverless SQL Pools, and Spark Pools.You'll start by mastering Dedicated SQL Pools, delving into the power of massive parallel processing. Learn to optimize performance through advanced techniques like Partitioning, leveraging Dynamic Management Views, creating and managing Materialized Views, and implementing effective Workload Management strategies. Security is paramount, and this course ensures you are well-versed in enhancing security measures for Dedicated SQL Pools, including Conditional Access, Dynamic Data Masking, Column-level Security, Row-level Security, and Encryption.Next, the course covers Serverless SQL Pools, teaching you how to efficiently perform on-demand data queries and transformations. You'll also understand the various authentication strategies essential for secure and efficient data operations in Serverless SQL Pools.The curriculum also includes a thorough examination of Spark Pools, where you'll work with PySpark and Spark SQL. You'll gain hands-on experience implementing the Data Lakehouse architecture and Delta Lake through practical labs, ensuring you have the skills to apply these concepts in real-world scenarios.For beginners, the course provides a solid foundation in SQL and data fundamentals, ensuring everyone can follow along and build their expertise from the ground up.What You Will Learn:Master the components of Azure Synapse Analytics: Dedicated SQL Pools, Serverless SQL Pools, and Spark Pools.Harness the power of massive parallel processing in Dedicated SQL Pools by mastering Distributions and Indexing.Optimize performance with techniques like Partitioning, Dynamic Management Views, Materialized Views, and effective Workload Management.Enhance security in Dedicated SQL Pools using Conditional Access, Dynamic Data Masking, Column-level Security, Row-level Security, and Encryption.Utilize Serverless SQL Pools for efficient on-demand data queries and transformations.Understand authentication strategies for Serverless SQL Pools.Explore Spark Pools using PySpark and Spark SQL.Implement Data Lakehouse architecture and Delta Lake through hands-on labs.Build a strong foundation in SQL and data fundamentals for beginners.By the end of this course, you'll be equipped with the skills to manage and optimize your data operations within Azure Synapse Analytics, making you proficient from beginner to advanced levels.
Who this course is for:
Data Engineers
ETL Developers
Data Analysts
Data Scientists
Database Administrators
BI Developers
IT Professionals
Students and Beginners
Homepage

https://www.udemy.com/course/master-azure-synapse-analytics-beginner-to-pro-in-2-days/

   
   
   

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