Snowflake for Data Science and Data Engineering

[mitsumi]

Snowflake for Data Science and Data Engineering
Published 11/2023
Created by Mahyar Peysepar,Yuan Guo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 74 Lectures ( 6h 59m ) | Size: 2.2 GB

Snowflake SQL

What you'll learn
Learn Snowflake SQL commands, functions, and data types
Learn Snowflake architecture and core concepts
Learn advanced Snowflake features and performance optimization
Learn development skills for building Data Pipelines using Snowflake
Requirements
This course accommodates all levels of experience, and covers the Snowflake skills from the ground up. Data Warehousing and Programming background helps with faster learning, but is not required.
Description
This course is for: Software developers (Data Engineers, ETL developers, backend developers, etc.) who need to build modern data applications using Snowflake.Data Scientists (and other analytical roles of Data Analysts, Business Intelligence developers, etc.) who need to build data models and AI applications using Snowflake.None-IT Analysts who want to query Snowflake and derive insight from residing data.Managers and business directors who need to understand the technical and maintenance aspects of switching to an Snowflake platform.Hard-working students who want to learn SQL in a principled manner and want to write clean code.My co-instructor and I have put our Data Engineering, Data Modeling, and Software Development backgrounds into creating this course that beyond teaching Snowflake features, it covers fundamental SQL topics from the ground up. We cover topics including but not limited to this list:Snowflake:Snowsight tourSnowflake SQLSnowflake ScriptingStored Procedures using SQL and PythonError handlingData recoveryTime travelZero-copy cloningSnowflake architectureStreamsTasksDAG of tasksAccess controlManage custom roles and usersSecure Data SharingStorage integrationsCreating IAM roles and users to connect to AWSStage types (internal stages of named, user, and table types, and external stages)Load during transformationsTable functionsContext functionsSQL:DDL statements in SnowflakeData types in SnowflakeReferential integrity enforcementScalar functions with common functions to work withString data typesTemporal data typesNumeric data typesContext functionsWindow functionsCommon Table ExpressionsAggregationsJoinsSet operatorsPivot and UnpivotAnd we constantly add new topics to the course to keep it the most comprehensive Snowflake video tutorial on Udemy.
Who this course is for
For a wide range of professionals using Snowflake. Data Engineers, Data Scientists, Data Analysts, Software Developers are to name a few roles this course can help excel in their jobs.

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rapidgator.net:

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