Azure SQL Data Warehouse Training
Azure SQL Data Warehouse, now known as Azure Synapse Analytics, is a cloud-based, scalable data warehousing solution provided by Microsoft Azure. It enables the integration of big data and data warehousing into a unified environment. Azure Synapse Analytics allows organizations to analyze large amounts of data using powerful and efficient cloud computing resources. The training for Azure SQL Data Warehouse (Synapse Analytics) generally covers a variety of topics such as data architecture, integration, security, and querying.
Why should you choose Nisa For Azure SQL Data Warehouse Training?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on Azure SQL Data Warehouse Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your inquiry for Online Job
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
Azure SQL Data Warehouse Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
1. Introduction to Azure Synapse Analytics
- What is Azure Synapse Analytics (formerly SQL Data Warehouse)?
- Overview of features and benefits
- Differences between traditional SQL Data Warehouse and Synapse Analytics
2. Azure Synapse Analytics Architecture
- Distributed architecture: SQL pool, Spark pool, and Data Lake storage
- Data warehouse vs. Data lake
- How data is stored and processed
- Integration of on-demand and provisioned resources
3. Provisioning and Managing Synapse Analytics
- Creating and configuring an Azure Synapse workspace
- Understanding the different types of pools: Dedicated SQL pools, Serverless SQL pools, Apache Spark pools
- Data storage options and configurations
- Monitoring and scaling performance
4. Data Ingestion and Integration
- Loading data using PolyBase, Azure Data Factory, and other tools
- Importing data from Azure Blob Storage, Azure Data Lake, or external sources
- ETL processes and data transformations
- Managing data pipelines in Azure Data Factory
- Using Synapse Pipelines for orchestration
5. SQL Queries and Data Transformation
- Writing efficient SQL queries in Synapse
- Understanding parallel processing and distribution methods (hash, round-robin, and replicated tables)
- Optimizing queries for performance
- Using Materialized Views to speed up frequently run queries
- Working with SQL and Spark notebooks in Synapse Studio
- Understanding the concept of Synapse Studio as a unified workspace
6. Data Security and Access Control
- Authentication and authorization in Synapse Analytics
- Role-Based Access Control (RBAC) and managing permissions
- Firewall and Virtual Network configurations
- Data encryption and security best practices
- Implementing Azure Active Directory for secure authentication
7. Performance Tuning and Optimization
- Monitoring query performance
- Indexing strategies for faster queries
- Partitioning large tables to optimize query performance
- Analyzing and resolving performance bottlenecks
- Query execution plans and understanding execution statistics
8. Analytics and Visualization
- Integrating with Power BI for reporting and visualization
- Running Spark-based analytics on data
- Data lake analytics with Synapse Spark pools
- Real-time analytics and reporting
- Using Azure Machine Learning with Synapse Analytics for advanced analytics
9. Data Sharing and Collaboration
- Sharing data across Azure services and with other organizations
- Integrating with Azure Data Explorer, Azure Machine Learning, and Power BI
- Collaboration using Synapse Studio for team development
10. Troubleshooting and Maintenance
- Troubleshooting performance issues
- Understanding logs and error messages
- Maintenance tasks (e.g., updating statistics, managing indexes, and backups)
- Best practices for data warehouse maintenance