Udemy - Course Snowflake SNOWPRO ADVANCE DATA ENGINEER DEA-C02 + eBook
Course Snowflake SNOWPRO ADVANCE DATA ENGINEER DEA-C02+eBook
https://WebToolTip.com
Published 1/2026
Created by HadoopExam Learning Resources
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 87 Lectures ( 7h 33m ) | Size: 2.66 GB
Fast-Track, Exam-Aligned Training Covering Data Movement, Performance, Governance, and Snowpark Concepts
What you'll learn
✓ Understand Snowflake data engineering architecture and how core services work together in enterprise data platforms.
✓ Learn how Snowflake ingests structured, semi-structured, and unstructured data and the design decisions behind ingestion strategies.
✓ Gain clarity on continuous data pipelines using streams, tasks, Snowpipe, and Snowpipe Streaming concepts.
✓ Develop the ability to analyze and reason through data ingestion failures and pipeline issues conceptually.
✓ Understand Snowflake performance optimization concepts including warehouses, clustering, caching, and query acceleration.
✓ Learn how to design scalable Snowflake solutions by choosing the right compute, storage, and optimization techniques.
✓ Understand data governance, security, and compliance concepts such as masking, RBAC, lineage, and data classification.
✓ Learn Snowflake data recovery concepts including Time Travel, Fail-safe, cloning, and replication strategies.
✓ Gain strong conceptual knowledge of data transformation using UDFs, stored procedures, Snowpark, and SQL APIs.
✓ Build exam-ready decision-making skills to confidently approach SnowPro Advanced Data Engineer (DEA-C02) scenario questions.
Requirements
● Basic understanding of data engineering or data warehousing concepts is helpful.
● Familiarity with SQL and relational databases is recommended.
● Prior exposure to Snowflake or completion of Snowflake fundamentals-level training is beneficial.
● Awareness of cloud concepts such as storage, compute, and scalability will be an advantage.
● No hands-on labs, special software, or paid Snowflake account is required.
● All learning is lecture-based, so a stable internet connection and a willingness to focus on concepts are sufficient.