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Data Engineering : Python, SQL, Snowflake, and ETL Focus Mastery
What you'll learn
Learning Path and Outcome
Python Proficiency: Automate ETL workflows and interact with Snowflake.
SQL Mastery: Query, optimize, and transform data within Snowflake.
ETL Expertise: Build and automate data pipelines using dbt and Python.
Snowflake Knowledge: Master data warehousing concepts and prepare for certifications.
Job Readiness: Gain practical experience through projects and interview prep.
Azure Data Engineering: End-to-End Track (60-80 Hours)
What you'll learn
Python and SQL Mastery: For data manipulation and querying
ETL Expertise: Build pipelines using Azure Data Factory
Real-Time Streaming: Work with Event Hubs and Databricks
Data Warehousing Skills: Create optimized data warehouses with Synapse Analytics
Monitoring and Automation: Use Azure Monitor and Automation tools
Trending
Data Engineering : Python, SQL, Snowflake, and ETL Focus Mastery
What you'll learn
Learning Path and Outcome
Python Proficiency: Automate ETL workflows and interact with Snowflake.
SQL Mastery: Query, optimize, and transform data within Snowflake.
ETL Expertise: Build and automate data pipelines using dbt and Python.
Snowflake Knowledge: Master data warehousing concepts and prepare for certifications.
Job Readiness: Gain practical experience through projects and interview prep.
Azure Data Engineering: End-to-End Track (60-80 Hours)
What you'll learn
Python and SQL Mastery: For data manipulation and querying
ETL Expertise: Build pipelines using Azure Data Factory
Real-Time Streaming: Work with Event Hubs and Databricks
Data Warehousing Skills: Create optimized data warehouses with Synapse Analytics
Monitoring and Automation: Use Azure Monitor and Automation tools
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All Data Engineering Courses
Comprehensive Data Engineering Mastery Program
Program Overview This program is a meticulously designed all-in-one course …
Azure Data Engineering: End-to-End Track (60-80 Hours)
Unlock your potential with our comprehensive Azure Data Engineering program, …
What you'll learn
Python and SQL Mastery: For data manipulation and querying
ETL Expertise: Build pipelines using Azure Data Factory
Real-Time Streaming: Work with Event Hubs and Databricks
Data Warehousing Skills: Create optimized data warehouses with Synapse Analytics
Monitoring and Automation: Use Azure Monitor and Automation tools
Data Engineering : Python, SQL, Snowflake, and ETL Focus Mastery
Unlock your potential with a comprehensive Data Engineering program designed …
What you'll learn
Learning Path and Outcome
Python Proficiency: Automate ETL workflows and interact with Snowflake.
SQL Mastery: Query, optimize, and transform data within Snowflake.
ETL Expertise: Build and automate data pipelines using dbt and Python.
Snowflake Knowledge: Master data warehousing concepts and prepare for certifications.
Job Readiness: Gain practical experience through projects and interview prep.
Data Engineering ( End to End )
Why Take This Course? Data is the driving force behind …
