Course Snowflake Snowpro Advance Data Engineer Dea-C02+ebook
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.
Description
Note: This course contains the use of artificial intelligence Voice (AI Voice).
eBook (PDF Download) : Included with this course is the 'Study guide for Exam SNOWPROⓇ ADVANCED: DATA ENGINEER (DEA-C02) a meticulously structured 250-page resource. This is not just a summary; it is a foundational pillar designed to move you from basic to advanced concepts. It emphasizes the 'What', 'How, 'Why' and more detailed steps behind each topic of the certification exam with professional confidence.
Key Course Features & Important Notes
• Fast Track Certification preparation: This course is designed for fast track certification preparation and clear exam in a month or less time.
• Watch Twice: It is highly recommended please go through at least twice with this course before your exam include each page of eBook.
• Fundamental Concepts Masterclass (No Hands-on Labs): This is a lecture-based training focused on conceptual mastery. Please note: This course does NOT include hands-on labs, sandbox environments, or practical exercises. It is designed for those who want to learn by watching and listening.
• Direct Path to Certification: The primary goal of this course is to equip you with the specific knowledge required to clear your certification exam with confidence.
• Straight-to-the-Brain Concepts: We strip away the "fluff" and focus on the core logic and deep architecture of the technology. Each lesson is engineered to be intuitive and easy to digest.
• Accelerated "Fast Track" Curriculum: This is a high-density program designed to cover the entire official syllabus in the shortest time possible without sacrificing depth.
• Multi-Sensory Learning Design: Featuring crystal-clear audio, high-definition visuals, and summarized text, the course is structured to keep you focused and improve information retention.
• Fundamentals & Beyond: We go beyond basic definitions to ensure you understand the "Why" behind the "How," preparing you for both the exam and technical interviews.
• Efficiency First: Ideal for busy professionals who need a comprehensive syllabus overview and "high-yield" exam tips without spending weeks on a single topic.
This course is a Fundamental Concepts Masterclass for Snowflake Data Engineering, designed for professionals who want to master concepts, architecture, and decision-making logic required for advanced Snowflake certifications and real-world data engineering discussions. The training follows a lecture-only, concept-first approach, making it ideal for learners who prefer to understand how and why Snowflake works rather than spending time on hands-on labs.
• Learn how data is loaded into Snowflake by understanding ingestion strategies, file formats, staging concepts, and the architectural considerations that impact performance and reliability.
• Develop a clear understanding of how Snowflake ingests structured, semi-structured, and unstructured data, including how stages and file formats are designed and implemented in enterprise environments.
• Gain the ability to conceptually troubleshoot ingestion issues by identifying root causes of failures and understanding how Snowflake resolves data loading errors.
• Understand how continuous data pipelines are designed using streams, tasks, Snowpipe, Snowpipe auto-ingest, REST APIs, and Snowpipe Streaming, with a strong focus on pipeline behavior and monitoring.
• Learn how modern data pipelines are built using Snowpark, Snowflake SQL APIs, and User Defined Functions, and how these components fit into scalable architectures.
• Explore how Snowflake integrates with external systems using Kafka, Spark, and Python connectors, and when each connector is used in real-world scenarios.
• Understand data sharing architectures, including secure data shares, views, row-level filtering, Snowflake Marketplace, and private listings.
• Learn when and why to use external tables and Iceberg tables, how schema evolution works, and how data is unloaded efficiently.
• Develop a strong performance mindset by learning how to identify underperforming queries, analyze telemetry, optimize warehouses, use clustering, caching, materialized views, search optimization, and query acceleration services.
• Understand how to monitor pipelines and data quality using tasks, streams, alerts, notifications, and data metric functions.
• Learn Snowflake data recovery and protection concepts such as Time Travel, Fail-safe, replication, cloning, rollback strategies, and micro-partition analysis.
• Gain deep insight into data governance and security using tagging, classification, lineage, masking policies, row-level security, RBAC, clean rooms, and Snowflake developer APIs.
• Master advanced transformation concepts including Snowpark UDFs, SQL and JavaScript UDFs, external functions, stored procedures, semi-structured and unstructured data processing, and Snowpark DataFrame operations.
This course is fast-track, high-density, and exam-aligned, making it perfect for busy professionals preparing for Snowflake certifications, technical interviews, or architectural roles who want maximum clarity in minimum time through clear explanations, visuals, and structured narration.
Who this course is for
■ Data engineers preparing for the Snowflake SnowPro Advanced Data Engineer (DEA-C02) certification exam.
■ Professionals who already have foundational Snowflake knowledge and want to advance to expert-level concepts.
■ Learners who prefer concept-first, lecture-based training over hands-on labs or sandbox environments.
■ Working professionals looking for a fast-track and time-efficient certification preparation approach.
■ Cloud and analytics engineers seeking a deeper understanding of Snowflake architecture and design decisions.
■ Software engineers involved in data platforms who want to strengthen Snowflake-specific expertise.
■ Professionals aiming to improve scenario-based problem solving required for Snowflake certification exams.
■ Candidates preparing for technical interviews involving Snowflake data engineering discussions.
■ Engineers responsible for designing, reviewing, or optimizing Snowflake data pipelines and workloads.
■ Learners who want to understand the why behind Snowflake features, not just how to execute commands.
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