Data Engineer II
- Offered bySnowflake
Data Engineer II at Snowflake Overview
Data Engineer II
at Snowflake
Gain a comprehensive overview of Data Engineer
Duration | 2 days |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Advanced |
Official Website | Go to Website  |
Credential | Certificate |
Data Engineer II at Snowflake Highlights
Data Engineer II
at Snowflake
- Earn a certificate after completion of the course
Data Engineer II at Snowflake Course details
Data Engineer II
at Snowflake
Skills you will learn
Who should do this course?
- Data Analysts
- Data Engineers
- Data Scientists
- Database Architects
- Database Administrators
- Data Application Developers
What are the course deliverables?
- Develop applications for Snowflake, including comprehensive ANSI standard SQL support
- Identify and describe various data modeling techniques and architectures deployed on the Snowflake Platform
- Effectively govern data stored and accessed in Snowflake
- Use Snowflake capabilities to work effectively with structured, semi-structured, and unstructured data in Snowflake
- Leverage Snowflake’s SQL extensibility features, such as user-defined functions and stored procedures
- Use the Snowpark client libraries to query and transform data in a data pipeline and build applications that process data in Snowflake without moving data to the system running the application
- Automate data ingestion and expand data lake capabilities using Snowflake
More about this course
- This two-day, role-specific course presents additional topics and a deep dive into select subjects for the Data Engineer through the lens of the data engineering lifecycle
- The course covers Snowflake concepts, features, considerations, and best practices intended for stakeholders who will be accessing, developing, and querying datasets for analytic tasks, and building data pipelines in Snowflake
- This course consists of data engineering concepts delivered through lectures, demos, labs, and discussions
Data Engineer II at Snowflake Curriculum
Data Engineer II
at Snowflake
Snowflake Overview and Architecture
Overview and Architecture Recap
Introduction to the Data Engineering Lifecycle
DE Lifecycle Recap
Supporting Platform Features
Data Governance (Tagging, Policies, Classification, External Tokenization)
Data Platform Architecture
Data Modeling
Data Vault
Data Mesh
Data Storage
What are Iceberg Tables?
Ingestion
Schema Detection
Transformation
UDFs and UDTFs (Java, Python)
Stored Procedures (Java, Scala, Python)
Data Engineer II at Snowflake Entry Requirements
Data Engineer II
at Snowflake
Eligibility criteria
- Successful completion of either Snowflake Fundamentals or Snowflake Data Engineer course is recommended
Conditional Offer
- Not mentioned
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Data Engineer II
at Snowflake
Student Forum
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