Unlock the potential of cloud data warehousing with Azure Synapse Analytics. This course begins by introducing the core concepts of cloud-based warehousing, highlighting the advantages over traditional systems. You will gain insights into Synapse Analytics' unified approach to data, enabling you to manage SQL and Spark workloads with ease, all while streamlining analytics and reporting tasks.
Azure SQL Data Warehouse Synapse Analytics Service
Instructor: Packt - Course Instructors
Included with
Recommended experience
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
Skills you'll gain
Details to know
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October 2024
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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
Offered by
Recommended if you're interested in Data Management
Korea Advanced Institute of Science and Technology(KAIST)
University of Alberta
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.