Snowflake Training in Bangalore

About Snowflake Course in Bangalore

The Snowflake Course in Bangalore covers the skills needed to work with cloud data and data warehousing. You will learn Snowflake architecture, SQL, data modelling, and how to load, store, and transform data using ETL and ELT processes. The course also includes Snowpipe, Streams and Tasks, Dynamic Tables, Snowpark with Python, Time Travel, and Zero-Copy Cloning.

You will work with semi-structured data using JSON and VARIANT, along with topics such as Change Data Capture (CDC), query performance tuning, data sharing, and access control. The training also covers ETL and data pipeline tools, including Informatica, Azure Data Factory, dbt, and Apache Airflow. These topics help you understand how data moves between systems and how Snowflake is used in day-to-day data engineering work.

What You Will Learn in the Snowflake Course in Bangalore

• Snowflake Basics: Learn Snowflake architecture, databases, schemas, virtual warehouses, and cloud data storage.
• SQL and Data Modelling: Work with SQL queries, joins, tables, views, and data modelling.
• ETL Tools: Understand ETL and ELT workflows using Informatica, Azure Data Factory, and other data integration tools.
• Snowflake Features: Practise using Snowpipe, Streams and Tasks, Dynamic Tables, Time Travel, and Zero-Copy Cloning.
• Python and Data Pipelines: Explore Snowpark with Python, dbt, and Apache Airflow for data processing and pipeline development.
• Performance and Security: Learn query tuning, JSON and VARIANT data handling, data sharing, and role-based access control (RBAC).

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

Upcoming Batch Schedule for Snowflake Training in Bangalore

Besant Technologies provides flexible timings to all our students. Here is the Snowflake Training in Bangalore 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

Can’t find a batch you were looking for?

Request a Batch

Trainer Profile

Arun Kumar has 15+ years of experience in the IT industry, working across data engineering, ETL development, cloud platforms, and data analytics. As a Principal Data Engineer at Accenture, he works with technologies such as Snowflake, SQL, Python, Informatica, Azure Data Factory, dbt, and Apache Airflow. His experience includes building data pipelines, handling large datasets, developing ETL workflows, and working with AWS and Azure cloud services.

Over the years, he has trained thousands of students, including freshers, working professionals, non-IT candidates, and people returning to work after a career break. His classes focus on explaining technical concepts clearly and helping students understand how Snowflake and ETL tools are used in real projects. Practical exercises and project-based learning help students gain confidence in working with data engineering tools and preparing for technical interviews.

The training is available through Snowflake online training in Bangalore and classroom sessions. Snowflake Certification Training in Bangalore covers Snowflake architecture, SQL, ETL and ELT, Snowpipe, Streams and Tasks, Dynamic Tables, Snowpark, Time Travel, Zero-Copy Cloning, query optimisation, and data pipeline development. Students also learn about data integration using Informatica and Azure Data Factory, along with Python-based data processing and cloud data engineering.

Certifications relevant to Snowflake and ETL training:

• SnowPro Core Certification
• SnowPro Advanced: Data Engineer Certification
• Microsoft Certified: Azure Data Engineer Associate
• AWS Certified Data Engineer – Associate
• Informatica Certified Professional
• Microsoft Certified: Fabric Data Engineer Associate

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.

Besant Technologies provides a course completion certificate after students finish the Snowflake training. Students also receive guidance to prepare for Snowflake certification exams, including the SnowPro Core Certification and SnowPro Advanced: Data Engineer Certification. Snowflake training covers Snowflake architecture, SQL, data loading, data transformation, security, and query performance, helping students understand the topics required for certification. Practical training in ETL tools and data engineering also helps students prepare for technical interviews and apply their knowledge in real-world projects.

Key Features of Snowflake Training in Bangalore

• Expert Trainers: Learn Snowflake, SQL, ETL, and data warehousing from experienced trainers with industry knowledge.
• Practical Training: Get hands-on experience with Snowflake architecture, data loading, data transformation, Snowpipe, and other key features.
• Real-Time Projects: Work on projects involving data pipelines, cloud data warehousing, and data integration to understand how these tasks are handled in companies.
• Online and Classroom Classes: Choose online Snowflake training in Bangalore or classroom training based on your convenience and batch availability.
• Multiple Bangalore Branches: Attend classroom training at Besant Technologies branches in BTM Layout, Marathahalli, Electronic City, Rajaji Nagar, Hebbal, Jayanagar, and Kalyan Nagar.
• Placement Assistance: Get career guidance, resume preparation support, and help applying for Snowflake and data engineering roles through our Snowflake Training in Bangalore with Placement.
• Interview Support: Prepare for technical interviews with questions on SQL, Snowflake, ETL processes, data modelling, and data pipelines.
• Resume Preparation: Learn how to highlight your technical skills, project work, and Snowflake knowledge when applying for jobs.
• Job Support: Get assistance with technical doubts and project-related challenges through the available support programme.
• Career and Salary Growth: Develop the skills needed for Snowflake Developer and Data Engineer roles and prepare to pursue better job opportunities and salary hikes.

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.

Training Courses Reviews

Frequently Asked Questions