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Data Engineering: Complete Hands-On Snowflake Sql & Features
![]() Data Engineering: Complete Hands-On Snowflake Sql & Features Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 7.46 GB | Duration: 11h 52m Snowflake, SQL, database, Datawarehouse, Cloud computing, Data loading, Snowpipe, Snowsql, ETL, ELT,AWS S3, IAM, SQS,EC2 What you'll learn Will get complete knowledge on cloud database. Will get complete SQL with on Snowflake database. will give assignment for each topic to practice to get more experience on different queries. Will get interview questions and answers for each topic. Requirements No Programming is required, Basic English understand is fine. Description Welcome to " DATA ENGINEERING: Complete Hands-On Snowflake SQL and Advanced Features" This Course helpful for students who is looking to move on or learn cloud data warehouse even you're a beginner or experienced with SQL.What You'll Learn:Introduction to database, data warehouse, Snowflake cloud:Introduction to data, database, data warehouse, RDBMS, ETL, ELT.Introduction to cloud computing, Overview on AWS, On-Premise Vs Cloud.Snowflake Free Trail Account Creation and ways to connect Snowflake cloud.SQL Topics:All SQL concepts will be covered.SQL Statements (DDL, DML, DCL, TCL, DRL).Tables, Data Types, Constraints.Clauses: SELECT, FROM, WHERE, GROUP, HAVING, LIMIT, WITH, ORDER BY.SQL FUNCTIONS ( STRING, NUMBER, DATE, WINDOW, ANALYTICAL, AGGREGATE).JOINS, SUB QUERIES.VIEWS, MATERIALIZED VIEWS.SET OPERATORS, SEQUENCES and etc.Snowflake's Unique Features:Snowflake Architecture.Snowflake Virtual warehouse.Zero-Copy Cloning.Streams & Tasks.Time Travel.External Tables.Handling semi-structured file formats (parquet, json).Data Loading & Unloading:Snowpipe for continuous data loading.Hands-on data loading from AWS S3.Performance Tuning & Cost Optimization.Data Security & Access Control:Creating and Managing users, roles, and permissions.RBAC, DAC.Course Designed For:Freshers, Database Developers, DBAs, SQL Developers, ETL Developers, Data analysts and data engineers looking to learn SQL and SNOWFLAKE CLOUD DATA WAREHOUSE FEATURES.Prerequisites:NO PRIOR EXPERIENCE REQUIRED.BY END OF THIS COURSE WILL GET COMPLETE KNOWLEDGE ON DATABASE, DATAWAREHOUSE, SQL AND SNOWFLAKE FEATURES AND HAND-ON ON EACH TOPIC WHICH CAN HELP TO WORK IN REAL WORLD PROJECTS. Overview Section 1: SQL Snowflake Course Intro Lecture 1 SQL Snowflake Course Intro Section 2: Database & DWH (Data Warehousing) Concepts Lecture 2 SQL Snowflake Data Database DBMS RDBMS Lecture 3 SQL Snowflake Data Metadata ACID Properties Lecture 4 SQL Snowflake Data warehouse stages ETL Lecture 5 SQL_Snowflake_Normalization Lecture 6 SQL Snowflake ER Data model - Dimension modeling Lecture 7 SQL Snowflake SCD Types Section 3: Cloud Computing: AWS Lecture 8 Intro Cloud Computing and On-Premise vs Cloud Section 4: Introduction to Snowflake Lecture 9 Snowflake Introduction Lecture 10 Snowflake Free Trail Account Creation Lecture 11 Ways to Connect Snowflake Account Lecture 12 Snowflake Snowsight UI Overview Lecture 13 Snowflake Editions Key Features Lecture 14 Snowflake Objects Section 5: Snowflake Architecture Lecture 15 Snowflake Architecture Section 6: Snowflake Virtual Warehouse Lecture 16 Snowflake Virtual warehouse Part-1 Lecture 17 Snowflake Virtual warehouse Part-2 Lecture 18 Snowflake Virtual warehouse Part-3 Section 7: SQL Statements Lecture 19 SQL Statements Overview Lecture 20 SQL CREATE/INSERT/SELECT Lecture 21 SQL INSERT Lecture 22 SQL Data Types: VARCHAR and NUMBER Lecture 23 SQL Data Types: FLOAT Lecture 24 SQL Data Types: Boolean Lecture 25 SQL Data Types: Date Time Timestamp Lecture 26 SQL STATEMENTS: ALTER COMMENT Lecture 27 SQL STATEMENTS: DROP UNDROP Lecture 28 SQL STATEMENTS: TCL: COMMIT ROLLBACK Lecture 29 SQL STATEMENTS: DELETE TRUNCATE Lecture 30 SQL STATEMENTS: UPDATE Lecture 31 SQL SNOWFLAKE CONTEXT FUNCTIONS Section 8: SQL SNOWFLAKE CONSTRAINTS Lecture 32 SQL SNOWFLAKE TABLES CONSTRAINTS 1 Lecture 33 SQL SNOWFLAKE TABLES CONSTRAINTS 2 Freshers, Data Engineers, ETL/ELT Developers, Database Developers, Software Engineers. Цитата:
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