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Snowflake Mastery Easy Steps To Gain Expertise [2023]

Posted by: voska89 on 25-01-2023, 19:50
See Orignal Post @ Nulled.Org


Snowflake Mastery Easy Steps To Gain Expertise [2023]
Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.39 GB | Duration: 18h 27m
Snowflake Mastery: An easy step by step approach to be an expert in snowflake


What you'll learn
You will learn about the Snowflake Architecture and Performance management
Deep Dive in to the Access management and the type of Db objects
Understand in full detail how the data moves from external system to Snowflake
Deep knowledge on Dynamic data masking and visualization
Extensive knowledge on Data Sharing and Data Protection
Requirements
No Programming experience needed. You will learn every thing from scratch. However a basic understanding of relational database and SQl is required.
Description
Are you a technology professional or college graduate who have thought multiple times to learn snowflake but couldn't learn it so far? Is your self snowflake learning a struggle? As a busy technology professional, do you feel overwhelmed and frustrated with all the 'answers' to master snowflake, but still not sure which one is right for you? Have you wondered, how many days , weeks and months are passed in just thinking about learning snowflake? The time is NOW to get started.In this course, you will discover exactly what you need to focus on to master snowflake. We will take you through an easy step by step approach to learn and master snowflake in shortest period of time with out overwhelm.Cloud is the new norm, almost all tech giants are moving towards cloud platform for the solutions which are cost effective and scalable. Cloud data-warehousing aka Snowflake warehouse is one the fastest growing technology which most of the technology companies are adopting. This is going to be big in future, hence this is the right time to get into the ship to learn and equip ourselves will all the knowledge of snowflake and prepare ourselves for better career today and in future. So if you find yourself saying "May be I will try it another time ". I would say THE TIME IS NOW. Don't let yourself go another day, another week, another month of learning procrastination. It's time RIGHT NOW to get on the journey of learning and have the life knowledge and excellent career you have designed for you.Following modules will be covered in a very easily step by step approachSnowflake Architecture and Performance ManagementIntroductionCreate Trial accountKnow your UI interfaceShared and Non Shared Disk ArchitectureHigh Level ArchitectureCreate Virtual WarehousesScaling PolicyCreate First Database and TableLoad CSV from public S3 bucketSnowflake ArchitectureSnowflake EditionsCreditsCredit Usage ScenariosCredit to Dollar Storage costCredit Storage ConsumptionPerformance ManagementPerformance Improvement MethodsDedicated Virtual WarehousesDedicated Virtual Warehouses CreationScale Up and Scale DownScale Out and Scale InMaximize CachingMaximize Caching demonstrationClustering KeysClustering CostClustering PerformanceMicropartitionsAccess management and snowflake objectsAccess managementAccess control and RBACSecurable objectsRolesTables in snowflakeTable TypesDatabase and schema typeUser Defined Functions (UDF's) and Stored ProceduresUser defined functions (UDF's)Stored procedures (SP's)Secure UDF's and SP'sViewsNon Materialized viewsMaterialized viewsData Movement - Techniques and UnloadingData Loading techniquesTypes of Data loadKnow snowflake stagesInstall SnowsqlInternal StagesUserstageTablestageNamedstageExternal StagesCOPY CommandCOPY TransformationFile Format ObjectCOPY OPTIONSON ERRORSIZE LIMITRETURN_FAILED_ONLYENFORCE_LENGTH / TRUNCATECOLUMNSFORCE / LOAD_UNCERTAIN_FILESLOAD_HISTORYVALIDATION MODELogging rejected recordsData loading best practicesData UnloadingData unloading theoryCOPY into location - Internal Stage -> User stageResolving max_workers must be greater than 0COPY into location - Internal Stage -> Table stageCOPY into location - Internal Stage -> Named Internal StageUnloading using QueryUnloading to Multiple FilesData Movement - Data loadingLoading from AWSCreate AWS free-tier accountCreate S3 bucket, file and roleStorage integration objectLoad file from AWSUnload data to AWSLoading from AzureCreate Azure free trial accountCreate storage and containerIntegration objectLoad data from AzureUnload data to AzureLoading from GCPCreate GCP free trial account, create bucket and upload fileIntegration objectLoad data from GCPUnload data to GCPLoading Semi-Structured DataIntroductionProcess and understanding the demo dataJSON: Load raw data and analyze nested objectsJSON: FLATTENArray/ObjectsHierarchicalJSON: Data transformation and loadJSON: Querying DataPARQUET: File load and transformationSnowpipeOverviewCreate snowpipe, load and configureTroubleshooting and pipe refreshManage snowpipeDynamic Data Masking and VisualizationDynamic data maskingOverviewCreate masking policyChange, Unset and replace masking policyConditional maskingData VisualizationSnowsight - Dashboard and VisualizationGetting started with TableauTableau visualization from snowflake dataPartner ConnectOverviewPartner connect categoriesData Sharing and Data ProtectionData SharingOverviewData sharing demo of Table, External tables and UDF's.Data share to a reader accountImported privilegesData share - entire databaseData share operations - DDL and DML affectSharing views and materialized viewsTime TravelOverview and retrieve data using "at" and "before"Data restoration using direct methodData restoration using indirect methodUNDROPUnderstanding retention timeFail-SafeOverviewFail Safe demoZero-Copy CloningOverviewCloning permanent tablesCopy grants and clone temporary external tablesClone schema and databaseSwapClone using time travel and understand sharing vs cloningStreamsOverviewConsuming streams using insert, update and deleteTypes of streams - default, append only. Consume stream using false conditionInsert only streams for external tablesMultiple consumers with streamsChanges clauseStreams consideration and stale after attributeRecreate, rename and clone effect on streamTasksUnderstanding tasksCreate task using procedure when and troubleshoot taskScheduling tasks using CRONCRON - Daylight savings considerationsDAG - Tree of tasksTask with streamUser managed tasks and warehouse considerationsSampling DataOverviewRow sampling methodSystem block methodAccess management in practiceSystem defined roles and its usersCustom roles and its usersCreate objects from sysadmin role and assign to developer roleCreate custom users - developer1, developer2,qa1 and reader1Problems due to unassigned custom rolesSolution of the problemsPublic RoleBest PracticesAuto resume, success and failure and long running queriesResource monitorColumns storage cost and benchmarking the queriesEnjoy and Happy Learning !
Overview
Section 1: Getting Started
Lecture 1 Welcome and Course Structure
Lecture 2 Alphaedge Solutions disclaimer and instructors
Lecture 3 Course Resources
Lecture 4 Few Actions before you launch your learning
Section 2: Introduction
Lecture 5 Create trial account
Lecture 6 Know your UI interface
Lecture 7 Share and non share disc architecture
Lecture 8 High level snowflake architecture
Lecture 9 Virtual warehouse sizes
Lecture 10 Create virtual warehouse
Lecture 11 Scaling policy
Lecture 12 Create first database and table
Lecture 13 Load csv file from public S3 bucket
Section 3: Snowflake Architecture
Lecture 14 Snowflake editions
Lecture 15 Credits
Lecture 16 Minumum 1 minute concept
Lecture 17 Credit usage scenarios
Lecture 18 Credit to dollar storage cost
Lecture 19 Credit consumption for storage
Section 4: Performance management
Lecture 20 Performance improvement methods
Lecture 21 Dedicated virtual warehouses
Lecture 22 Dedicated Virtual warehouse creation
Lecture 23 Scale up and Scale down
Lecture 24 Scale out and Scale in
Lecture 25 Maximize caching
Lecture 26 Maximize caching demonstration
Lecture 27 Clustering keys
Lecture 28 Clustering costs
Lecture 29 Clustering performance
Lecture 30 Micropartitions
Lecture 31 Micropartitions - query pruning, depths and overlap
Section 5: Access management
Lecture 32 Access control and RBAC
Lecture 33 Securable objects
Lecture 34 Roles
Section 6: Tables in snowflake
Lecture 35 Table types
Lecture 36 Database and schema types
Section 7: User defined functions (UDF's) and Stored procedures
Lecture 37 User defined functions (UDF's)
Lecture 38 Stored procedures (SP's)
Lecture 39 Secure UDF's and SP's
Section 8: Views
Lecture 40 Non materialized views
Lecture 41 Materialized views
Lecture 42 Refresh materialized view
Section 9: Data loading
Lecture 43 Data loading techniques
Lecture 44 Know snowflake stages
Lecture 45 Install SNOWSQL
Lecture 46 Internal stages - Userstage
Lecture 47 Internal stages - Tablestage
Lecture 48 Internal stages - Namedstage
Lecture 49 External stages
Lecture 50 COPY command
Lecture 51 COPY Transformations1
Lecture 52 COPY Transformations2
Lecture 53 File format object
Lecture 54 File format object properties
Section 10: COPY OPTIONS
Lecture 55 ON_ERROR - CONTINUE
Lecture 56 ON_ERROR - SKIP_FILE
Lecture 57 SIZE_LIMIT
Lecture 58 RETURN_FAILED_ONLY
Lecture 59 ENFORCE_LENGTH/TRUNCATECOLUMNS
Lecture 60 FORCE/LOAD_UNCERTAIN_FILES
Lecture 61 LOAD_HISTORY
Lecture 62 VALIDATION MODE - RETURN_ERRORS
Lecture 63 VALIDATION MODE - RETURN__ROWS/RETURN_ALL_ERRORS
Lecture 64 Logging rejected records using RESULT_SCAN
Lecture 65 Logging rejected records using validate
Lecture 66 Data loading best practices1
Lecture 67 Data loading best practices2
Section 11: Data Unloading
Lecture 68 Data unloading theory
Lecture 69 COPY into location: Internalstage -> Userstage
Lecture 70 COPY into location: Internalstage -> Tablestage
Lecture 71 COPY into location: Internalstage -> Named internalstage
Lecture 72 Unloading using query
Lecture 73 Unloading multiple files
Section 12: Loading and Unloading from AWS
Lecture 74 Create AWS free-tier account
Lecture 75 Create S3 bucket, file and role
Lecture 76 Storage integration object
Lecture 77 Load file from AWS
Lecture 78 Unload data to AWS
Section 13: Loading and Unloading from AZURE
Lecture 79 Create azure free trial account
Lecture 80 Create storage and container
Lecture 81 Integration object
Lecture 82 Load data from Azure
Lecture 83 Unload data to Azure
Section 14: Loading and Unloading from GCP
Lecture 84 Create GCP trial account, create bucket and upload file
Lecture 85 Integration object
Lecture 86 Load data from GCP
Lecture 87 Unload data to GCP
Section 15: Loading Semi-Structured data
Lecture 88 Introduction
Lecture 89 Process and understanding the demo data
Lecture 90 JSON: Load raw data and analyse nested objects
Lecture 91 JSON: FLATTEN
Lecture 92 JSON: Data load and transformation
Lecture 93 PARQUET: File load and transformation
Section 16: Snowpipe
Lecture 94 Overview
Lecture 95 Create snowpipe, load and configure
Lecture 96 Troubleshooting and pipe refresh
Lecture 97 Manage snowpipe
Section 17: Dynamic Data Masking
Lecture 98 Dynamic data masking overview
Lecture 99 Create dynamic data masking policy
Lecture 100 Masking policy and policy reference
Lecture 101 Masking policy on multiple columns, nested masking and real life examples
Lecture 102 Masking policy context and conditional masking
Section 18: Data Visualization
Lecture 103 Data setup for visualization
Lecture 104 Snowsight charts and visualization
Lecture 105 Tableau installation
Lecture 106 Snowflake ODBC driver
Lecture 107 Tableau visualization from snowflake data
Section 19: Partner Connect
Lecture 108 Overview
Lecture 109 Partner connect demo
Section 20: Data Sharing
Lecture 110 Data sharing overview
Lecture 111 Create Table, external table and UDF's for data sharing
Lecture 112 Data sharing demo of table, external table and UDF
Lecture 113 Create data share via UI
Lecture 114 Data share to a reader account
Lecture 115 Imported privileges
Lecture 116 Data share - entire database
Lecture 117 Data share operations - DDL and DML affect
Lecture 118 Sharing views and materialized views
Section 21: Time Travel
Lecture 119 Time travel overview
Lecture 120 Retrieve data using "at" and "before"
Lecture 121 Data restoration using direct method
Lecture 122 Data restoration using indirect method
Lecture 123 UNDROP
Lecture 124 Understanding retention time
Section 22: FAILSAFE
Lecture 125 Overview
Lecture 126 Failsafe demo
Section 23: Zero Copy Cloning
Lecture 127 Overview
Lecture 128 Cloning permanent tables
Lecture 129 Copy grants and more on cloning
Lecture 130 Clone schema and database
Lecture 131 Swap
Lecture 132 Clone using time travel and understand sharing vs cloning
Section 24: Streams
Lecture 133 Streams Overview
Lecture 134 Streams Offset
Lecture 135 Consuming streams using insert, update and delete
Lecture 136 Types of streams - default, append only. Consume stream using false condition
Lecture 137 Insert only streams for external tables
Lecture 138 Multiple consumers with streams
Lecture 139 Changes clause
Lecture 140 Streams stale_after and extension in days
Lecture 141 Recreate, rename and clone effect on stream
Section 25: Tasks
Lecture 142 Understanding tasks
Lecture 143 Create tasks using procedure when and troubleshoot tasks
Lecture 144 Schedule task using CRON
Lecture 145 CRON - Day light savings considerations
Lecture 146 DAG - Tree of tasks
Lecture 147 Task with stream
Lecture 148 User managed tasks and warehouse considerations
Section 26: Sampling Data
Lecture 149 Overview
Lecture 150 Row sampling method
Lecture 151 System block method
Section 27: Access management in practice
Lecture 152 System defined roles and its users
Lecture 153 Custom roles and its users
Lecture 154 Create objects from sysadmin role and assign to developer role
Lecture 155 Create custom users - developer1, developer2, qa1 and reader1
Lecture 156 Problems due to unassigned custom roles
Lecture 157 Solution of the problems
Lecture 158 Public Role
Section 28: Best Practices
Lecture 159 Auto resume, success and failure and long running queries
Lecture 160 Resource monitor
Lecture 161 Resource monitor via SQL
Lecture 162 Resource monitor with custom schedule
Lecture 163 Columns storage cost and benchmarking the queries
Section 29: Thank you
Lecture 164 Thank you note, stay connected and good luck !
Have you wondered, how many days , weeks and months are passed in just thinking about learning snowflake? In this free challenge you will kickstart your journey towards snowflake. The time is NOW to get started.


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