Packt
Azure SQL Data Warehouse Synapse Analytics Service
Packt

Azure SQL Data Warehouse Synapse Analytics Service

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Implement dedicated SQL pools in Azure Synapse Analytics

  • Analyze data using SQL, Spark, and serverless options

  • Apply cloud security measures such as encryption and auditing

  • Optimize data warehousing architecture for performance

Details to know

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Recently updated!

October 2024

Assessments

3 assignments

Taught in English

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There are 7 modules in this course

In this module, we will introduce the course, outlining its main objectives and the key takeaways that learners can expect. You'll gain insight into how the course will benefit you and set the stage for what’s to come in later sections.

What's included

2 videos1 reading

In this module, we will explore the capabilities of Azure Synapse Analytics, focusing on cloud-based data warehousing and its modern architecture. You will engage in hands-on demos to create and manage SQL and Spark pools, analyze data using different methods, and understand the unified experience Synapse offers for data professionals.

What's included

17 videos

In this module, we will dive into the internals of data warehouse architecture, covering essential topics like Azure Synapse’s MPP architecture, sharding, data distribution, and partitioning. You will also explore best practices for designing fact and dimension tables, along with a practical demo on analyzing data distribution before migration.

What's included

9 videos

In this module, we will focus on the critical aspects of data migration, including best practices, different loading methods, and hands-on demonstrations using tools like SSIS, PolyBase, and Data Factory. You'll also engage in assignments to apply what you've learned, ensuring a smooth transition of data from the lake to the warehouse.

What's included

10 videos1 assignment

In this module, we will explore the critical security layers necessary for protecting data in cloud environments. Topics include advanced data security, auditing, network protection, and encryption techniques. You'll also learn how to implement dynamic data masking and effectively manage user access to maintain data integrity and confidentiality.

What's included

8 videos

In this module, we will focus on configuring and optimizing your cloud environment, covering essential tasks like backup and restore, workload management, and price optimization. You'll also explore monitoring techniques, support, troubleshooting, and how to efficiently delete and manage resources to maintain a well-optimized system.

What's included

10 videos

In this module, we will dive into the fundamentals of data warehousing, exploring key concepts like dimensional modeling, fact and dimension tables, and common warehouse schemas. You’ll learn the differences between OLTP and OLAP systems, the importance of data warehouses, and how to design them effectively using the best modeling practices.

What's included

11 videos2 assignments

Instructor

Packt - Course Instructors
Packt
375 Courses24,936 learners

Offered by

Packt

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