Azure SQL Data Warehouse Synapse Analytics Service
Master Azure Synapse Analytics: SQL pools, serverless queries, and Spark. Learn to implement secure, scalable cloud data warehouses for enterprise analytics.
Master Azure Synapse Analytics: SQL pools, serverless queries, and Spark. Learn to implement secure, scalable cloud data warehouses for enterprise analytics.
This comprehensive course on Azure Synapse Analytics teaches cloud-based data warehousing for data professionals, cloud engineers, and DBAs. Starting with core concepts of cloud warehousing, it covers Synapse Analytics' unified approach to managing SQL and Spark workloads. You'll learn to create and manage dedicated SQL pools, integrate Spark for big data analysis, and use serverless capabilities for efficient data processing. The course emphasizes cloud security, teaching data protection techniques like dynamic data masking and auditing. It also explores best practices in architecture, partitioning, and performance tuning for enterprise-scale optimization. By the end, you'll be equipped to implement and manage secure, high-performance data warehouses using Azure Synapse.
Instructors:
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What you'll learn
Understand the core concepts of cloud-based data warehousing
Implement and manage dedicated SQL pools in Azure Synapse Analytics
Integrate Spark for big data analysis within the Synapse environment
Utilize serverless capabilities for efficient data processing
Apply cloud security measures including encryption and auditing
Optimize data warehouse architecture for improved performance
Skills you'll gain
This course includes:
1 Hours PreRecorded video
3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 7 modules in this course
This course provides a comprehensive introduction to Azure Synapse Analytics for cloud-based data warehousing. It covers the core concepts of cloud data warehousing and the advantages of Azure Synapse over traditional systems. Students learn to implement dedicated SQL pools, analyze data using SQL and Spark, and utilize serverless options for efficient data processing. The curriculum includes practical demonstrations on creating and managing data warehouses, integrating big data analysis tools, and implementing cloud security measures. Participants will also explore best practices in data warehouse architecture, partitioning strategies, and performance optimization techniques for enterprise-scale operations.
Introduction to Azure Synapse Analytics
Module 1 · 1 Hours to complete
Creating and Managing Dedicated SQL Pools
Module 2 · 1 Hours to complete
Integrating Spark for Big Data Analysis
Module 3 · 1 Hours to complete
Leveraging Serverless Capabilities
Module 4 · 1 Hours to complete
Cloud Security in Azure Synapse Analytics
Module 5 · 1 Hours to complete
Optimizing Data Warehouse Architecture
Module 6 · 2 Hours to complete
Course Summary and Best Practices
Module 7 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Enhancing IT Education Through Expert-Led Learning
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