Description
In this course, you will learn :
- How to use Tableau to connect Snowflake Data and create visualisations.
- How to integrate Snowflake Data with PowerBI and create visualisations.
- Core Snowflake Concepts
- Advanced Concepts such as Time Travel, Fail Safe, Caching, etc.
- Detailed Overview of Snowflake WebUI
- SQL - Beginner to Advanced
- Snowflake API for Python
- Automate Snowflake tasks using Python
Syllabus :
- Deep Dive into Snowflake
- Snowflake Pricing
- Resource Monitors - Track Compute Consumption
- Micro-Partitioning in Snowflake
- Clustering in Snowflake
- Query History & Caching
- Jump into Code
- Load data from AWS (Amazon Web Services)
- Snowpipe - Continuous Data Ingestion Service
- Load data from Microsoft Azure
- Different Types of Tables
- Time Travel - Work with history of Objects
- Fail Safe - A Recovery Area
- Tasks In Snowflake - Scheduling Service
- Snowflake Streams - Change Data Capture(CDC)
- Zero-Copy Cloning
- Secure Data Sharing
- Materialized Views on Snowflake
- Secure Views on Snowflake
- Security - Dynamic Data Masking: Column level security
- Snowflake Partner Connect
- Snowflake SQL - DDL (Data Definition Language)
- Snowflake SQL - DML(INSERT/DELETE/UPDATE) & DQL(Query Language - SELECT)
- Snowflake SQL - Sub-queries & Case Statements
- Snowflake SQL - Set Operators (UNION, UNION ALL, INTERSECT, EXCEPT, MINUS)
- Snowflake SQL - Working with Row Numbers & Information Schema
- Snowflake SQL - Functions & Transactions
- Work with Snowflake's Python API - Automation stuff
- Visualizations - Working with Tableau and Snowflake
- Visualizations - Working with PowerBI and Snowflake