Snowflake - Complete End To End Data Project Hands-On Guide

Overview

Master Snowflake Complete E2E Data Project + Data Pipeline Hands-on Guide With Live Data From Gound Up What you'll learn:

How to architect a Snowflake based data engineering projectHow to design end to end flow with Snowflake based data engineering projectHow to load and ingests API data into snowflakeHow to develop an end to end data engineering project with SnowflakeHow to automate API data ingestion in SnowflakeHow to use stages, task, dynamic tables to create a DAG in Snowflake. Want to learn how to architect, design and implement End To End Data Project in Snowflake?Do you want to upgrade your Snowflake skill and learn how to build complete end to end data project using Snowflake Cloud Data Warehouse Platform?In this course, you will learn everything, starting from source file analysis, evaluating different architectural issues to ingetrate data, layered architecture to store different datasets, design stage/raw/curated layers and finally automate your data pipeline and implemente fully automated data flow from source to visualization with real life.Why should you take this course?Understand everything about end to end data engineering project - a step by step guideDifferent data integration challenges and how to build a solution to ingest data into snowflake.How to design a layered architecture to store and process the data.How to automate the data integraiton to ingest live data.How to automate and create a fully functional DAG.How to use Snowflake dynamic tables to create fully functional data pipeline.How to create a visualization using streamline within SnowflakeHow to use Snowpark Python library with GitHub action to automate data flow.

How to use free marketplace data and integrate it with Snowflake data pipeline.

Syllabus

• Introduction to Snowflake
Overview and Key Features
Setting Up Your Snowflake Environment
• Data Warehousing Concepts
Understanding Data Warehousing
Cloud-based Data Warehousing Benefits
• Snowflake Architecture
Key Components
How Snowflake's Architecture Differs
• Data Modeling and Design
Basics of Data Modeling
Designing Scalable Data Architectures
Best Practices for Snowflake Data Modeling
• Ingesting and Transforming Data
Data Loading Techniques in Snowflake
ETL vs. ELT in Snowflake
Using Snowflake's Transformation Capabilities
• Snowflake for Analytics
Querying Data with Snowflake
Advanced SQL Techniques
Using Snowflake's Built-in Functions for Data Analysis
• Snowflake Security Best Practices
Data Security and Encryption
Role-Based Access Control
Auditing and Monitoring
• Optimizing Snowflake Performance
Performance Tuning Techniques
Resource and Cost Management
• Integrating Snowflake with Other Tools
Connecting BI Tools to Snowflake
Using External Functions and UDFs
• Practical Hands-On Project
End-to-End Data Project in Snowflake
From Data Collection to Analytics
Leveraging Cloud Services with Snowflake
• Case Studies and Real-World Applications
Successful Snowflake Implementations
Lessons Learned and Best Practices
• Closing and Next Steps
Reviewing Key Concepts
Preparing for the Future with Snowflake

Taught by

DE Simplified

Subjects

Business