Snowflake Course in Chennai

About Snowflake Course in Chennai

Besant Technologies’ Snowflake training covers the technical concepts and tools used in cloud data platforms. Students learn to create databases, schemas, tables and virtual warehouses, write advanced SQL queries, load data from different sources and build data transformation workflows.

Snowflake course also covers ETL/ELT processes, data modelling, incremental loading, data quality checks, Snowflake administration and security. Additional topics include working with structured and semi-structured data such as JSON and Parquet and integrating Snowflake with ETL tools and cloud platforms.

What You Will Learn in Snowflake Training in Chennai

• Snowflake Architecture: Databases, schemas, virtual warehouses, storage and compute architecture.
• Advanced SQL: Joins, CTEs, window functions, subqueries and query optimization.
• ETL and ELT: Data loading, data transformation, incremental processing and data integration.
• Snowflake Data Engineering: Snowpipe, Streams, Tasks, Dynamic Tables, Python and Snowpark.
• Cloud and ETL Tools: Informatica, Azure Data Factory, dbt and Apache Airflow.
• Real-Time Projects: Data pipeline development, data validation, performance tuning and interview preparation.

Snowflake Training Institutes in Chennai – Besant Technologies Branches

Besant Technologies offers Snowflake training through its Chennai locations in Velachery, Anna Nagar, Tambaram, Porur, T. Nagar, Maraimalai Nagar, Siruseri and OMR. Students can enquire about classroom training at their preferred branch or choose online training based on their schedule.

The course covers Snowflake, SQL, ETL tools, cloud data warehousing and data engineering projects. Students can also receive technical interview preparation, resume guidance and placement assistance. Working professionals can strengthen their existing technical skills, while freshers and career-switching candidates can build knowledge for data engineering job opportunities.

Enroll in Snowflake Training in Chennai

If you want to learn Snowflake, strengthen your SQL skills or move towards a career in cloud data engineering, enquire about the Snowflake course at Besant Technologies. Choose online or classroom training in Chennai and build practical knowledge of Snowflake, ETL/ELT, data integration and data pipelines.

Contact Besant Technologies for details about the next batch, course fees, duration, syllabus and placement assistance.

Upcoming Batch Schedule for Snowflake Training in Chennai

Besant Technologies provides flexible timings to all our students. Here is the Snowflake Training in Chennai Class Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

• 09-11-2026 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 12-11-2026 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 07-11-2026 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees

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Snowflake Syllabus

The Snowflake training syllabus is designed for working professionals, SQL developers, ETL developers, data analysts and aspiring data engineers. The recommended duration is 90–120 hours, depending on the selected modules, practical exercises and project work.

Module 1: Cloud Data Warehousing Fundamentals

• Introduction to data warehousing, data lakes and lakehouse concepts
• OLTP vs. OLAP and analytical workloads
• Cloud data platforms and Snowflake use cases
• Data warehouse architecture
• ETL and ELT fundamentals
• Overview of AWS, Microsoft Azure and Google Cloud integration

Module 2: Snowflake Architecture and Fundamentals

• Snowflake architecture: storage, compute and cloud services
• Virtual warehouses and multi-cluster warehouses
• Databases, schemas, tables, views and stages
• Micro-partitions and automatic data pruning
• Snowflake account structure and worksheets
• Compute scaling and separation of storage and compute

Module 3: Snowflake SQL and Advanced SQL

• DDL, DML and data manipulation commands
• Joins, subqueries, CTEs and set operators
• Window functions and ranking
• Aggregations, conditional logic and date functions
• INSERT, UPDATE, DELETE and MERGE statements
• NULL handling and metadata queries
• SQL scripting, stored procedures and error handling
• Advanced SQL practice using business datasets

Module 4: Snowflake Objects and Warehouse Management

• Permanent, transient and temporary tables
• Standard views and materialized views
• Virtual warehouse creation and configuration
• Warehouse sizing, auto-suspend and auto-resume
• Resource monitors and warehouse usage
• Sequences, constraints and object dependencies

Module 5: Snowflake Data Loading and Unloading

• Internal and external stages
• CSV, JSON, Parquet and other supported file formats
• COPY INTO commands for bulk loading and unloading
• Data validation and load error handling
• Load history and failed-load troubleshooting
• Loading data from cloud object storage
• Incremental loading and duplicate handling
• Hands-on data loading exercises

Module 6: ETL and ELT Development

• ETL vs. ELT architecture
• Source-to-target mapping and transformation logic
• Full loads, incremental loads and change processing
• Data cleansing, validation and deduplication
• Slowly Changing Dimensions (SCD) Type 1 and Type 2
• Informatica PowerCenter and IICS concepts
• Azure Data Factory pipelines and Snowflake integration
• ETL troubleshooting and data reconciliation

Module 7: Data Transformation and Data Modelling

• Fact and dimension tables
• Star schema and snowflake schema modelling
• Data normalization and denormalization
• Staging, intermediate and presentation layers
• SQL-based transformations and reusable views
• Surrogate keys and slowly changing dimensions
• Data quality checks and reconciliation
• Building reporting-ready datasets

Module 8: Semi-Structured Data Processing

• VARIANT, OBJECT and ARRAY data types
• Processing JSON, Avro and Parquet data
• FLATTEN for nested and repeated structures
• Parsing and extracting nested fields
• Schema evolution and changing source data
• Transforming semi-structured data into relational tables

Module 9: Snowpipe and Automated Data Ingestion

• Snowpipe architecture and continuous data ingestion
• Auto-ingest and cloud event notifications
• Stage configuration and file-arrival workflows
• Error handling and load monitoring
• Snowpipe Streaming concepts
• Choosing between bulk loading and continuous ingestion

Module 10: Snowflake Streams, Tasks and Dynamic Tables

• Change Data Capture (CDC) concepts
• Streams and their use cases
• Task scheduling and task graphs
• Incremental processing and dependency management
• Dynamic Tables and target lag
• Automating data transformation pipelines
• Monitoring and recovering failed pipeline runs

Module 11: Python and Snowpark

• Python fundamentals for data engineering
• Snowpark DataFrames and transformations
• Filtering, joining and aggregating datasets
• User-defined functions and stored procedures
• Python worksheets and package dependencies
• Snowpark-based data processing
• Testing and debugging Python workflows

Module 12: ETL Tools and Data Platform Integration

• Connecting Snowflake with Informatica PowerCenter and IICS
• Integrating Azure Data Factory with Snowflake
• Python connectors and application connectivity
• REST API and external data ingestion concepts
• dbt models, tests and transformations
• Apache Airflow DAGs and workflow orchestration
• Integration design, credentials and failure handling

Module 13: Snowflake Administration and Security

• Role-Based Access Control (RBAC)
• Users, roles, grants and privileges
• Database and schema access management
• Secure views and data sharing
• Masking policies and row access policies
• Network policies and authentication concepts
• Time Travel and data recovery considerations

Module 14: Snowflake Performance Tuning and Cost Optimization

• Query Profile and Query History
• Micro-partition pruning and query execution analysis
• Warehouse sizing and scaling strategies
• Clustering considerations and search optimization
• Caching behaviour and query reuse
• Resource monitoring and compute cost analysis
• Troubleshooting slow queries and inefficient workloads

Module 15: Snowflake Real-Time Project Implementation

• Analysing business requirements and source data
• Designing a Snowflake data warehouse
• Building staging and transformation pipelines
• Loading and validating source data
• Implementing incremental processing and data quality checks
• Tuning SQL queries and reviewing resource usage
• Documenting and presenting project results

Module 16: Snowflake Interview Preparation and Career Support

• Snowflake architecture interview questions
• Advanced SQL coding exercises
• ETL/ELT and data engineering interview questions
• Debugging and performance-tuning scenarios
• Resume preparation and project explanation
• Technical mock interviews

Trainer Profile

Damu has over 17 years of IT industry experience, with expertise in Snowflake, ETL, data engineering, cloud computing and analytics. According to the profile details provided, he is currently working as a Vice President at Deloitte.

His technical skills include Snowflake, SQL, Python, Informatica PowerCenter, IICS, Azure Data Factory, Microsoft Fabric, Databricks, Apache Spark, PySpark, dbt and Apache Airflow. His areas of expertise include ETL/ELT development, data migration, data integration, data modelling, data pipelines and performance tuning.

The supplied trainer profile states that he has trained more than 10,000 learners, including freshers, working professionals, career-break candidates and people transitioning from non-IT to IT careers. It also reports more than 5,000 placements among trained candidates. He has experience delivering Snowflake online training to learners in the USA, UK, UAE, Australia and Canada, along with classroom training for students in Chennai.

Snowflake Certification

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

Students who successfully complete the Snowflake course at Besant Technologies receive a course completion certificate. Guidance is also available for preparing for relevant Snowflake SnowPro certification exams through technical lessons, practice questions and hands-on exercises.

Relevant certification pathways include SnowPro Core and SnowPro Advanced certifications, such as Data Engineer and Administrator, subject to the current certification catalogue and the student’s experience.

The Besant Technologies course completion certificate is separate from an official Snowflake certification. Students must pass the applicable Snowflake certification exam to earn the official credential.

Key Features of Snowflake Training in Chennai

• Experienced Trainers: Learn Snowflake concepts from trainers with relevant industry experience.
• Complete Syllabus: Cover Snowflake architecture, SQL, ETL/ELT, data warehousing and data engineering.
• Hands-On Training: Practise data loading, transformation, SQL queries and warehouse management.
• Real-Time Projects: Work on data pipelines, data integration and data engineering scenarios.
• ETL Tool Integration: Learn how Snowflake works with Informatica, Azure Data Factory and other data integration tools.
• Online and Classroom Training: Choose online Snowflake sessions or classroom training in Chennai.
• Multiple Chennai Branches: Enquire about training at Velachery, Anna Nagar, Tambaram, Porur, T. Nagar, Maraimalai Nagar, Siruseri and OMR.
• Certification Guidance: Prepare for relevant Snowflake certification exams.
• Interview and Job Support: Receive resume guidance, technical interview preparation and job-search support.
• Career Growth: Develop skills for Snowflake, ETL, cloud data engineering and analytics roles.

Hands-On Training and Real-Time Snowflake Projects

Project 1: End-to-End Snowflake Data Warehouse

Build a data warehouse using source files, staging tables, SQL transformations, fact and dimension tables, and reporting-ready datasets. Practise SQL, COPY INTO, data modelling, ETL/ELT and query tuning.

Project 2: Automated Snowflake Data Pipeline

Build a pipeline that loads new files, validates data, processes incremental changes and refreshes target tables using Snowpipe, Streams, Tasks, or Dynamic Tables. Learn data ingestion, CDC, automation, monitoring, and error handling.

Project 3: ETL Integration with Snowflake

Create an integration workflow using Azure Data Factory or Informatica to load source data into Snowflake, transform the data, validate results and troubleshoot failed loads.

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