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Snowflake

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Snowflake

Data Science & Business Analytics

Duration
40 Hours

Course Description


                 Snowflake courses teach how to use the Snowflake cloud data platform for data warehousing, data engineering, and data analysis. These courses cover topics like Snowflake's architecture, data loading, SQL querying, data sharing, and security features. They are designed for various skill levels, from beginners to experienced professionals, and may prepare individuals for Snowflake certifications. 

Course Outline For Snowflake

Topics

  • Architecture of the Snowflake Cloud Data Platform, three-tiered architecture
  • Database Objects - Table Types, Time Travel, Zero Copy Clone, Views, Stages, File Format
  • Data Loading and Unloading using COPY statement
  • DML and DDL - Query Contract, Object Identifier
  • Setup Snowflake SnoqSQL - Parameterisation, deployment and best practices
  • Snowflake access management for users & applications
  • Understanding Snowflake Hierarchy and Inheritance
  • User management - Service Accounts and MFA
  • Working with semi structured data - load, query & unload
  • Snowflake Caching & Performance benefits
  • Snowflake connection interface and partner networks
  • Continuous Data Protection - CDP in Snowflake
  • Secure Data Shring - Reader, Provider and Consumer - Real time user case
  • Virtual Warehouse - Scaling and Concurrency - Cost Vs Performance
  • Manage and monitor your Snowflake Account and Its usage
  • Understanding Micro-Partition and Clustering in detail
  • Best Practices to Work for Snowflake Platform
  • Cost Optimisation and Monitoring in Snowflake - Use Cases
  • Setting up Data Stage Environment for Snowflake
  • Connection Configuration and common troubleshooting
  • Define Data Stage pipeline to prepare S3 stage - Move data from Hadoop to S3
  • Defining Data Migration pipeline for DW Lauer - S3 to Snowflake
  • Identify various migration options for Teradata to Snowflake Migrations
  • Setting up Data Stage environment for Teradata to Snowflake Migrations
  • Develop Data Stage job to read data from Teradata and write to Snowflake
  • Best Practices working with DataStage along with Snowflake
  • Snowflake Kafka Integration Overview
  • Setting up Kafka environment in AWS with Snowflake
  • Live demo if data ingestion into Snowflake from Kafka
  • Explore Snow pipe and understanding its use case for real time data ingestion
  • Understanding other ETL/ELT tools available in market and how it is different from Data Stage
  • Setup BI environment for Snowflake Integration - Live Demo
  • Creating report in Tableau with Snowflake Data - Best Practices
  • Exploring how other BI tools gets integrated with Snowflake
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