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Cloud & DevOps​

SnowFlake Course

Master cloud data management and analytics with the Snowflake Cloud Data Platform course—an interactive program designed for modern data professionals. Gain hands-on expertise in Snowflake’s architecture, storage, security, and powerful analytics tools while building scalable pipelines and integrating BI solutions. By course completion, confidently manage, share, and optimize data for actionable insights and advanced machine learning in any business scenario. Ideal for data engineers, analysts, and BI developers eager to upskill in next-generation cloud data.

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Course overview

The Snowflake Cloud Data Platform course is designed to equip learners with the skills to manage, process, and analyze data in a modern cloud-native environment. This program covers the fundamentals of Snowflake architecture, data storage, compute resources, security, and advanced analytics. Learners will gain hands-on experience in building data pipelines, integrating BI tools, and optimizing performance for real-world business scenarios.

By the end of the course, participants will be able to:

  • Understand Snowflake’s architecture and unique features.
  • Load, store, and query structured & semi-structured data.
  • Implement data sharing and security best practices.
  • Build scalable data solutions for analytics and machine learning.

This training is ideal for data engineers, analysts, cloud professionals, and BI developers looking to upskill in cloud data management.

  • Understanding Snowflake’s Unique Advantages Over Traditional Databases 
  • Creating a Snowflake Trial Account
  • Setting Up Warehouses, Databases, Schemas, and Tables
  • Exploring Snowflake Roles and Access Control
  • Working with Worksheets
  • Overview of Different Account Types
  • Introduction to AWS and S3 Storage
  • In-Depth Look at Snowflake Architecture and Caching
  • Overview of Azure Blob Storage
  • Introduction to Google Cloud Platform (GCP) and Bucket Storage
  • Understanding Data Object Models (DOM): Tools & Methods
  • Working with File Formats and Storage Types (Internal & External)
  • Using the COPY INTO Command for Data Ingestion
  • Loading Data from GCP, Azure, and AWS into Snowflake
  • Basics of Data Unloading
  • Introduction to Snowpipe
  • Utilizing PUT and GET Commands
  • Automating Bulk Data Loads from Cloud Storage
  • Implementing Continuous Data Loading
  • Using Python Connectors with Snowflake
  • Exploring BI Tool Connectors and Their Use Cases
  • Overview of Additional Connector Options
  • Understanding the VARIANT Data Type
  • Choosing Appropriate File Formats
  • Creating Stages for Data Loading
  • Loading JSON Data into Snowflake Tables
  • Querying JSON Using SQL SELECT Statements
  • Creating and Managing Tasks
  • Introduction to Streams for Change Data Capture
  • Executing Stored Procedures with Tasks
  • Scheduling by Time and Time Zones
  • Automating Data Loads (Daily & Weekly Jobs)
  • Fundamentals of Data Sharing
  • Data Exchange Between Different Accounts
  • Leveraging Reader Accounts for Non-Snowflake Account Data Sharing
  • The Critical Role of Reader Accounts
  • Privileges in the World of Data Sharing
  • Challenges in Cross-Region Sharing and Grasping Replication Concepts
  • Connecting BI Tools, e.g., POWER BI, with Shared Objects
  • Data Sharing Limitations
  • Exploring the Time Travel Feature
  • Querying Past Data Snapshots
  • Enabling and Disabling Time Travel
  • Understanding Retention Periods
  • Cloning Databases, Schemas, and Tables via Time Travel
  • Setting Up Multi-Cluster Warehouses for Large Data Sets
  • Best Practices for Performance Optimization
  • Strategies for Efficient Data Clustering

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Snowflake Certification Training in Chennai

The Snowflake Certification Program by Techzit Solutions equips learners with industry-ready skills to harness the full power of the Snowflake Cloud Data Platform. This program covers Snowflake’s unique architecture, elastic compute, and scalable storage, along with advanced concepts like data sharing, time travel, cloning, and working with structured and semi-structured data (JSON, Avro, Parquet). You’ll gain expertise in building data pipelines, optimizing queries, implementing secure role-based access controls, and integrating Snowflake with leading BI tools such as Power BI, Tableau, and Looker. The training also includes real-time use cases for data warehousing, analytics, and machine learning integrations.

Completing this program earns you a Techzit Solutions-recognized certification, preparing you for roles like Snowflake Data Engineer, Cloud Data Architect, BI Developer, and Analytics Consultant, while boosting your career profile with hands-on projects, certification guidance, and placement support.

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Question & Answers

Snowflake is a modern cloud-based data platform that enables secure, scalable, and cost-efficient data storage, processing, and analytics across multiple cloud providers.

This program is ideal for data engineers, cloud professionals, BI developers, analysts, and freshers who want to build a career in cloud data management and analytics.

Basic knowledge of SQL and databases is recommended. Familiarity with cloud platforms like AWS, Azure, or GCP is helpful but not mandatory.

You’ll gain hands-on skills in:

  • Snowflake architecture & data warehousing

  • Working with structured & semi-structured data

  • Query optimization & performance tuning

  • Data pipelines & integrations (ETL/ELT)

  • Security & role-based access control

BI tool integrations (Power BI, Tableau, Looker)

Upon successful completion, you’ll receive a Techzit Solutions-recognized Snowflake Certification, validating your expertise in cloud data platforms.

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