Azure Synapse Analytics Training in Ameerpet  |  Azure 
                     Advanced Analytics and Machine 
Learning in Azure Synapse
Introduction to Azure Synapse Analytics
• Overview:
– Brief introduction to Azure Synapse Analytics
– Key features: integrated analytics service, data integration, big data, 
and data warehousing
– Importance of advanced analytics and machine learning in modern 
data platforms
Components of Azure Synapse Analytics
• Synapse Studio:
– Unified workspace for data integration, exploration, 
preparation, management, and serving
• SQL Analytics:
– Traditional and on-demand serverless querying
• Spark Pools:
– Big data processing using Apache Spark
• Data Integration:
– Pipelines for ETL/ELT processes
Advanced Analytics in Azure Synapse
• Capabilities:
– Integrating big data and data warehousing
– Real-time analytics
– Data exploration and visualization
• Tools:
– Power BI for visualization
– Synapse Studio for data exploration and 
management
Machine Learning in Azure Synapse
• Integration with Azure Machine Learning:
– Building, training, and deploying machine learning 
models
– Use of Synapse Spark and SQL pools for data 
preparation and model scoring
• Use Cases:
– Predictive analytics
– Anomaly detection
– Customer segmentation
Workflow for Machine Learning in Azure Synapse
• Steps:
–Data Ingestion: Ingest data from various sources
–Data Preparation: Clean and transform data using Synapse Spark and 
SQL
–Model Training: Use Azure Machine Learning to train models
–Model Deployment: Deploy models using Synapse and Azure ML 
integration
–Model Scoring: Score data within Synapse using deployed models
• Tools Involved:
–Synapse Pipelines
–Synapse Spark
–Azure Machine Learning
Case Study: Implementing Advanced 
Analytics and ML in Azure Synapse
• Scenario:
– Industry: Retail
– Problem: Demand forecasting for inventory management
• Solution:
– Data ingestion from sales, inventory, and external data sources
– Data preparation and feature engineering using Synapse Spark
– Model training for demand forecasting using Azure ML
– Real-time scoring and dashboarding in Power BI
• Results:
– Improved inventory management
– Reduced stockouts and overstock situations
– Enhanced decision-making with real-time insights
Q&A and Next Steps
• Questions and Discussion:
– Invite questions from the audience
• Next Steps:
– Encourage attendees to explore Azure Synapse 
Analytics
– Provide resources for further learning (links to 
documentation, tutorials, and workshops)
– Offer a demo or trial access to Azure Synapse 
Analytics
                   CONTACT
Azure Synapse Analytics
Address:- Flat no: 205, 2nd Floor,
Nilgiri Block, Aditya Enclave,
Ameerpet, Hyderabad-1 
Ph. No: +91-9989971070 
Visit: www.visualpath.in 
E-Mail: [email protected]
           THANK YOU
Visit:www.visualpath.in