Multi Cloud Snowflake Data Engineering
Data Warehousing system
Snowflake with AWS Data Engineering involves leveraging the strengths of both platforms to build robust and scalable data pipelines and analytics solutions.
Course Duration
4 Months
LMS Access
365 Days
Career Support
Till Interview
INTEGRATION
Seamlessly Integrate
with Your Favorite Tools
Seamless Integration, Real-Time Insights, Continuous Improvement
SQL
Snowflake
Data Warehousing
DBT
Python
Apache Airflow
Apache Spark
Databricks
Snowflake
Data Warehousing
DBT
Python
Apache Airflow
Apache Spark
Databricks
Snowpark
Data Warehousing
DBT
Python
Apache Airflow
Apache Spark
Databricks
Snowpark
Delta Lake
COURSE ROADMAP
Why Multi Cloud Snowflake Data Engineering
Seamless Integration, Real-Time Insights, Continuous Improvement
Check out First 5 Free Classes of the ongoing batch
Experience our teaching style before you enroll!
Designed by Experts, Tailored for Growth
CURRICULUM
SQL Fundamentals for Data Engineering
Duration: 4 Weeks
- Introduction to SQL
- DDL, DML, DCL, TCL
- Joins & Subqueries
- Window Functions
- CTE & Views
- Indexes & Performance
- Real-World SQL Use Cases
Data Warehousing Concepts
Duration: 3 Weeks
- What is Data Warehousing
- OLAP vs OLTP
- ETL vs ELT
- Fact & Dimension Tables
- Star & Snowflake Schemas
- Slowly Changing Dimensions (SCD)
Snowflake Architecture & Core Concepts
Duration: 4 Weeks
- Snowflake Architecture
- Virtual Warehouses
- Databases, Schemas & Tables
- Stages & File Formats
- Time Travel & Zero Copy Cloning
- Fail Safe & Data Recovery
Data Loading & Governance in Snowflake
Duration: 3 Weeks
- COPY Command & Bulk Loading
- Snowpipe & Continuous Ingestion
- Handling Semi-Structured Data
- Unloading Data to Cloud Storage
- RBAC & Role Management
- Data Masking & Security
Advanced Snowflake Features
Duration: 4 Weeks
- Streams & Tasks
- Dynamic Tables
- Directory & Event Tables
- Performance Optimization
- Clustering & Micro-Partitions
- Query Profile & Caching
DBT with Snowflake
Duration: 3 Weeks
- Introduction to DBT
- DBT Models & Materialization
- Jinja & Macros
- DBT Tests & Documentation
- Snapshots for SCD
- Deployment & Git Integration
Python & Apache Airflow
Duration: 3 Weeks
- Python for Data Engineering
- Snowflake Connectivity with Python
- Apache Airflow Architecture
- Building DAGs
- Snowflake Operators
- End-to-End Pipeline Orchestration
Big Data, Open Table Formats & Multi-Cloud
Duration: 4 Weeks
- Apache Spark & PySpark
- Databricks Architecture
- Delta Lake
- Apache Iceberg
- AWS Services for Data Engineering
- Azure Data Factory with Snowflake
- End-to-End Multi-Cloud Projects
Capstone Project
Covered throughout the course on any of them like Healthcare, Finance etc...
What will you get after completion of course
Unlock the Full Potential of Your Data with Advanced AI Solutions
Course Completion Certificate
Client Handling Techniques
Building ATS Friendly Resume
Support till you get the interview Calls
Interview Preparation Tips & Tricks
Tips on Soft skills & Corporate Etiquette’s
LMS Platform Access For 365 Days. (All recorded sessions)
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