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Snowflake Foundations Training

Live Online & Classroom Enterprise Training

Snowflake is a cloud-based data warehousing platform that enables scalable storage, processing, and analytics of large datasets. It offers high performance, security, and seamless integration with various data sources for efficient data management.

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What is Snowflake Foundations Course about?

This course provides a comprehensive introduction to Snowflake, a cloud-based data warehousing platform. Participants will learn about Snowflake’s architecture, key features, data loading, querying, performance optimization, and security. The course includes hands-on labs to help learners gain practical experience with Snowflake’s powerful cloud-based analytics capabilities.

What are the objectives of Snowflake Foundations Course ?

  •  Understand Snowflake’s architecture and cloud-native design.
  • Navigate and use the Snowflake web UI, SnowSQL, and Worksheets.
  • Load and unload data using various methods (staging, bulk loading, Snowpipe).
  • Write and optimize SQL queries for efficient data retrieval.
  • Manage and scale Virtual Warehouses for optimized performance.
  • Utilize Time Travel and Cloning for data recovery and versioning.
  • Share and manage secure data sharing across Snowflake accounts.
  • Implement role-based access control (RBAC) and security policies.
  • Work with semi-structured data (JSON, Parquet, Avro) in Snowflake.
  • Integrate Snowflake with BI tools (Power BI, Tableau, Looker, etc.).
  • Optimize performance, cost, and resource management in Snowflake.
  • Prepare for Snowflake certification exams with hands-on experience..

Who is Snowflake Foundations Course for?

  • Data Analysts – To analyze and retrieve data efficiently using SQL and BI tools
  • Data Engineers – To design, build, and optimize data pipelines within Snowflake.
  • Data Scientists – To work with large datasets and leverage Snowflake’s capabilities for machine learning and analytics.
  • Database Administrators (DBAs) – To manage data storage, security, and performance tuning in Snowflake.
  • Cloud Architects – To understand how Snowflake integrates with cloud ecosystems (AWS, Azure, GCP).
  • BI & Reporting Professionals – To connect Snowflake with visualization tools like Power BI, Tableau, and Looker
  • IT Professionals & Developers – To automate data workflows, integrate APIs, and build data-driven applications.
  • Business Intelligence Teams – To generate insights and optimize decision-making using Snowflake's analytics capabilities.
  • Anyone interested in Cloud Data Warehousing – To learn and explore modern data warehousing and analytics with Snowflake

What are the prerequisites for Snowflake Foundations Course?

  • Basic understanding of SQL
  • Familiarity with cloud computing concepts (optional but beneficial)
  • Knowledge of data warehousing concepts (recommended)

Available Training Modes

Live Online Training

4 Days

Self-Paced Training

40 Hours

Course Outline Expand All

Expand All

  • Overview of Snowflake as a Cloud Data Platform
  • Snowflake architecture and storage layers
  • Understanding compute, storage, and services layers
  • Key features: Multi-cluster warehouses, separation of storage & compute, zero-copy cloning
  • Creating and managing a Snowflake account
  • Navigating the Snowflake web UI, SnowSQL, and Worksheets
  • Understanding databases, schemas, and tables in Snowflake
  • Data loading options: Bulk load, Snowpipe (Streaming Data), COPY INTO
  • Working with internal and external stages (AWS S3, Azure, GCP)
  • Writing SQL queries in Snowflake
  • Query optimization techniques
  • Understanding Virtual Warehouses and scaling options
  • Warehouse sizing and auto-suspend features
  • Best practices for query performance optimization
  • Clustering and micro-partitioning
  • Time Travel: Restoring previous versions of data
  • Zero-copy cloning and its use cases
  • Secure data sharing and working with Snowflake’s Data Marketplace
  • Role-based access control (RBAC)
  • Configuring user roles and privileges
  • Managing encryption, MFA, and network policies
  • Connecting Snowflake with BI tools (Tableau, Power BI, Looker)
  • Snowflake’s support for semi-structured data (JSON, Parquet, Avro)
  • Working with Stored Procedures & UDFs (User-Defined Functions)
  • Understanding Snowflake pricing model
  • Monitoring query history and resource consumption
  • Best practices for minimizing storage and compute costs

Who is the instructor for this training?

The trainer for this Snowflake Foundations Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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