infyni

Live Snowflake Data Warehouse Course

This Live Snowflake Data Warehouse Course provides a unique opportunity for interactive learning. Engage with instructors in real-time, ask questions, and collaborate with peers. Whether you're a beginner or an experienced data professional, this course equips you with the knowledge.

Live Course

Live Class: Monday, 25 Dec

Duration: 40 Hours

Enrolled: 0

Offered by: infyni

Live Course
$2125 50% off

$1062

About Course

Embark on an immersive learning experience with our Live Snowflake Data Warehouse Course, where you will gain practical insights and hands-on skills in leveraging Snowflake, a leading cloud-based data warehousing solution. Whether you're a data engineer, analyst, or business intelligence professional, this course is designed to equip you with the expertise needed to harness the full potential of Snowflake for your organization.

Key Course Highlights:

  1. Introduction to Snowflake:

    • Begin your Snowflake journey with an overview of the platform, understanding its architecture, cloud-native features, and its role in revolutionizing data warehousing.
  2. Setting Up Your Snowflake Environment:

    • Dive into live sessions to set up your Snowflake environment, including account creation, configuring security settings, and understanding the basics of Snowflake's multi-cluster, multi-warehouse architecture.
  3. Data Loading and Unloading:

    • Explore practical techniques for loading and unloading data into and from Snowflake. Understand best practices for bulk loading, continuous data ingestion using Snowpipe, and integrating with cloud-based storage solutions.
  4. Data Modeling in Snowflake:

    • Gain hands-on experience in designing effective data models in Snowflake. Explore concepts such as databases, schemas, tables, and views. Understand how to optimize data structures for efficient querying.
  5. Snowflake SQL Fundamentals:

    • Master the SQL language specific to Snowflake. Learn to write efficient queries, perform joins and aggregations, and utilize advanced features for complex data manipulations.
  6. Snowflake Security and Access Controls:

    • Dive into Snowflake's robust security features. Understand user roles, privileges, encryption, and implement access controls to ensure data security and compliance.

Skills You Will Gain

Snowflake Integration Performance Optimization Data Sharing and Collaboration Monitoring and Troubleshooting Case Studies

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
  • • Virtual warehouse (Hands-on & More details about credits consumption and sizes) • Snowflake under the hood -Caching in snowflake data warehouse -Clustering in snowflake • Performance Tuning and DB characteristics (v02) • Install AWS CLI, Snow CLI • Loading data in snowflake • Loading data using internal staging o User Stage - v06 o Table stage o Named stage
  • o Load using snowflake console (Low volume load) o Load using AWS CLI (Bulk Load) • Loading data from GCS to Snowflake • Loading data from Azure to Snowflake o Load using snowflake console (Low volume load) o Load using AZCOPY CLI (Bulk Load)
  • o Method 1 o Method 2 o Method 3 • Snow Pipe • Copy options (Deep Dive) o Validation Mode o Load Selected files o ON_ERROR o ENFORCE_LENGTH & TRUNCATE COLUMNS o FORCE o PURGE o LOAD HISTROY VIEW AND COPY HISTORY FUNCTION
  • o Sub Topics Access failsafe from console Relation between failsafe and retention period Table types in snowflake Permanent table and failsafe Transient table Temporary table Creating Transient database in snowflake
  • • Table Swap in snowflake • Data Sampling in snowflake • Scheduling in snowflake – TASKS • Streaming in snowflake • Continuous Data Load in snowflake (Using Snowpipe, Tasks, Streams) • Materialized Views o Importance using MV