Azure Synapse Analytics Training Course
Azure Synapse Analytics, formerly known as SQL Data Warehouse, is a limitless analytics service that provides tools for both enterprise data warehousing and Big Data analytics.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.
By the end of this training, participants will be able to:
- Understand the core concepts, architecture, and components of Azure Synapse Analytics.
- Create, configure, and manage scalable data warehouses using Azure Synapse.
- Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
- Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Azure Synapse Analytics
- Overview of Azure Synapse Analytics
- Key features and capabilities
- Comparison with other data analytics solutions
Setting up Azure Synapse Analytics
- Creating an Azure Synapse workspace
- Configuring data lake storage
- Managing users and access control
Data Integration and Management
- Data ingestion methods
- ETL processes with Azure Data Factory
- Data storage and organization strategies
Developing Big Data Solutions
- Introduction to Spark pools in Azure Synapse
- Processing large datasets with Spark
- Integrating with Azure Machine Learning
Querying Data with Serverless SQL Pools
- Overview of serverless SQL pools
- Querying across data sources
- Performance tuning and optimization
Security and Compliance
- Data protection and encryption
- Access control and data privacy
- Monitoring and auditing
Data Visualization and Analysis
- Connecting to Power BI and other visualization tools
- Building dashboards and reports
- Sharing insights within and outside an organization
Managing Resources and Best Practices
- Architectural best practices
- Managing and scaling resources
Summary and Next Steps
Requirements
- Basic understanding of cloud computing principles
- Knowledge of data warehousing principles and practices
Audience
- Data engineers
- Data scientists
- Cloud professionals
Open Training Courses require 5+ participants.
Azure Synapse Analytics Training Course - Booking
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Testimonials (5)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire
The thing I liked the most about the training was the organization and the location
Hamid Tuama - Ability with Innovation General Contracting (DMCC Branch)
Course - ArcGIS for Spatial Analysis
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