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Snowflake Mastery: Easy steps to gain expertise [2024]

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Snowflake Mastery: An easy step by step approach to be an expert in snowflake


1 - Getting Started
  • 1 -Snowflake Udemy Course Structure -AES.pdf
  • 1 -Welcome and Course Structure
  • 2 -Alphaedge Solutions disclaimer and instructors
  • 2 -Disclaimer-AlphaedgeSolutions.pdf
  • 3 -Actions.pdf
  • 3 -Few Actions before you launch your learning
  • 3 -Snowflake Mastery - Expertise in easy steps.pdf
  • 3 - Course Resources.html

  • 2 - Introduction
  • 1 -Create trial account
  • 2 -Know your UI interface
  • 3 -Share and non share disc architecture
  • 4 -High level snowflake architecture
  • 5 -Virtual warehouse sizes
  • 6 -Create virtual warehouse
  • 7 -Scaling policy
  • 8 -Create first database and table
  • 9 -Load csv file from public S3 bucket
  • Files.zip

  • 3 - Snowflake Architecture
  • 1 -Snowflake editions
  • 2 -Credits
  • 3 -Minumum 1 minute concept
  • 4 -Credit usage scenarios
  • 5 -Credit to dollar storage cost
  • 6 -Credit consumption for storage

  • 4 - Performance management
  • 1 -Performance improvement methods
  • 2 -Dedicated virtual warehouses
  • 3 -Dedicated Virtual warehouse creation
  • 4 -Scale up and Scale down
  • 5 -Scale out and Scale in
  • 6 -Maximize caching
  • 7 -Maximize caching demonstration
  • 8 -Clustering keys
  • 9 -Clustering costs
  • 10 -Clustering performance
  • 11 -Micropartitions
  • 12 -Micropartitions - query pruning, depths and overlap
  • Files.zip

  • 5 - Access management
  • 1 -Access control and RBAC
  • 2 -Securable objects
  • 3 -Roles

  • 6 - Tables in snowflake
  • 1 -Table types
  • 2 -Database and schema types
  • Files.zip

  • 7 - User defined functions (UDFs) and Stored procedures
  • 1 -User defined functions (UDFs)
  • 2 -Stored procedures (SPs)
  • 3 -Secure UDFs and SPs
  • Files.zip

  • 8 - Views
  • 1 -Non materialized views
  • 2 -Materialized views
  • 3 -Refresh materialized view
  • Files.zip

  • 9 - Data loading
  • 1 -Data loading techniques
  • 2 -Know snowflake stages
  • 3 -Install SNOWSQL
  • 4 -Internal stages - Userstage
  • 4 -subjects.csv
  • 5 -Internal stages - Tablestage
  • 5 -salary.csv
  • 6 -Internal stages - Namedstage
  • 6 -weather.csv
  • 7 -External stages
  • 7 -contacts5.csv
  • 8 -COPY command
  • 8 -contacts1.csv
  • 8 -contacts2.csv
  • 8 -contacts4.csv
  • 9 -COPY Transformations1
  • 9 -contacts5.csv
  • 10 -COPY Transformations2
  • 11 -File format object
  • 12 -File format object properties
  • Files.zip

  • 10 - COPY OPTIONS
  • 1 -ON ERROR - CONTINUE
  • 2 -ON ERROR - SKIP FILE
  • 2 -Snowflake-3-b-1
  • 3 -SIZE LIMIT
  • 4 -RETURN FAILED ONLY
  • 5 -ENFORCE LENGTHTRUNCATECOLUMNS
  • 6 -FORCELOAD UNCERTAIN FILES
  • 7 -LOAD HISTORY
  • 8 -VALIDATION MODE - RETURN ERRORS
  • 9 -VALIDATION MODE - RETURN n ROWSRETURN ALL ERRORS
  • 10 -Logging rejected records using RESULT SCAN
  • 11 -Logging rejected records using validate
  • 12 -Data loading best practices1
  • 13 -Data loading best practices2
  • Files.zip

  • 11 - Data Unloading
  • 1 -Data unloading theory
  • 2 -COPY into location Internalstage - Userstage
  • 3 -COPY into location Internalstage - Tablestage
  • 4 -COPY into location Internalstage - Named internalstage
  • 5 -Unloading using query
  • 6 -Unloading multiple files
  • Files.zip

  • 12 - Loading and Unloading from AWS
  • 1 -Create AWS free-tier account
  • 2 -Create S3 bucket, file and role
  • 3 -Storage integration object
  • 4 -Load file from AWS
  • 4 -web sites.csv
  • 5 -Unload data to AWS
  • Files.zip

  • 13 - Loading and Unloading from AZURE
  • 1 -Create azure free trial account
  • 2 -Create storage and container
  • 2 -call centers.csv
  • 3 -Integration object
  • 4 -Load data from Azure
  • 5 -Unload data to Azure
  • Files.zip

  • 14 - Loading and Unloading from GCP
  • 1 -Create GCP trial account, create bucket and upload file
  • 1 -promotions.csv
  • 2 -Integration object
  • 3 -Load data from GCP
  • 4 -Unload data to GCP
  • Files.zip

  • 15 - Loading Semi-Structured data
  • 1 -Introduction
  • 2 -Process and understanding the demo data
  • 2 -book.zip
  • 2 -books.zip
  • 3 -JSON Load raw data and analyse nested objects
  • 4 -JSON FLATTEN
  • 5 -JSON Data load and transformation
  • 6 -PARQUET File load and transformation
  • Files.zip

  • 16 - Snowpipe
  • 1 -Overview
  • 2 -Create snowpipe, load and configure
  • 2 -promotions1.csv
  • 2 -promotions2.csv
  • 2 -promotions3.csv
  • 3 -Troubleshooting and pipe refresh
  • 3 -promotions4.csv
  • 3 -promotions4err.csv
  • 3 -promotions5.csv
  • 4 -Manage snowpipe
  • 4 -promotions5.csv
  • Files.zip

  • 17 - Dynamic Data Masking
  • 1 -Dynamic data masking overview
  • 2 -Create dynamic data masking policy
  • 3 -Masking policy and policy reference
  • 4 -Masking policy on multiple columns, nested masking and real life examples
  • 5 -Masking policy context and conditional masking
  • Files.zip

  • 18 - Data Visualization
  • 1 -Data setup for visualization
  • 2 -Snowsight charts and visualization
  • 3 -Tableau installation
  • 4 -Snowflake ODBC driver
  • 5 -Tableau visualization from snowflake data
  • Files.zip

  • 19 - Partner Connect
  • 1 -Overview
  • 2 -Partner connect demo

  • 20 - Data Sharing
  • 1 -Data sharing overview
  • 2 -Create Table, external table and UDFs for data sharing
  • 3 -Data sharing demo of table, external table and UDF
  • 4 -Create data share via UI
  • 5 -Data share to a reader account
  • 6 -Imported privileges
  • 7 -Data share - entire database
  • 8 -Data share operations - DDL and DML affect
  • 9 -Sharing views and materialized views
  • Files.zip
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    شناسه: 42499
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    تاریخ انتشار: ۲۷ دی ۱۴۰۳
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