AWS Redshift - The Complete Masterclass

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Free Download AWS Redshift - The Complete Masterclass
Published 12/2025
Created by Data Soup
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 76 Lectures ( 5h 51m ) | Size: 4.7 GB

Master Redshift end-to-end: COPY, Spectrum, Data API, Datashare, Federated Query, Kinesis, Operations, ML, Zero-ETL
What you'll learn
Set up Amazon Redshift (Serverless + Provisioned) with the right IAM roles, networking basics, and KMS encryption
Load data into Redshift using COPY (S3, manifests, compression, JSON/Parquet patterns, and error handling)
Automate Redshift loads with the Redshift Job Scheduler and EventBridge-style orchestration patterns
Build ELT workflows in Redshift using stored procedures (atomic/non-atomic), MERGE, UDFs, and materialized views
Use the Redshift Data API with AWS Lambda and boto3 to run SQL securely without long-lived connections
Query S3 data using Redshift Spectrum by creating external tables with the AWS Glue Data Catalog
Create views and join external Spectrum tables with internal Redshift tables for analytics workflows
Share live data using Redshift Datashare, including cross-account sharing patterns and permissions
Use Federated Query to access data in RDS/Aurora from Redshift and understand performance tradeoffs
Ingest streaming data into Redshift using Kinesis-based patterns and design for near real-time analytics
Troubleshoot performance issues: WLM queue waits, spills, skew, and concurrency bottlenecks in real workloads
Apply operational best practices: VACUUM/ANALYZE/GRANT security design, and production monitoring habits
Requirements
Basic SQL (SELECT, JOIN, GROUP BY) is helpful
Basic AWS familiarity (console navigation) is helpful but not required
An AWS account to do the hands-on labs (Free Tier where applicable; some services may incur small charges)
A laptop/desktop with internet
Optional: basic Python knowledge if you want to follow the Lambda + boto3 Data API demos (I explain it step-by-step)
No prior Redshift experience needed - we start from fundamentals and build up to production workflows.
Description
This course contains the use of artificial intelligence. This is a hands-on Amazon Redshift masterclass for SQL-heavy data engineers and analysts who want to go beyond writing queries and learn how to design, build, and operate Redshift in real production environments.It begins with Redshift fundamentals and architecture, then moves into setting up both Redshift Serverless and Provisioned correctly-covering practical foundations such as IAM, KMS, permissions (GRANT), and core workload concepts.From there, the course focuses on real-world data ingestion using the COPY command and multiple hands on with all the different options to ingest data in Redshift.Next, it covers data processing inside Redshift with practical approaches for the all data processing offering from Redshift such as Unload, Stored Proc, Materialized views, UDF and many more.It also covers how Redshift connects with other AWS services through hands-on examples, including:Redshift Data API with Lambda and boto3Redshift Spectrum (external tables and views on S3 using the Glue Data Catalog)External schemas and querying external dataCross-account data sharing (Datashare)Federated queries to RDSStreaming ingestion using KinesisFinally, it wraps up with operations and performance tuning (monitoring, skew/spills/queue waits, vacuum/analyze, concurrency tradeoffs) and finishes with modern capabilities like Redshift ML and Zero-ETL-where they fit, when they don't, and their limitations.By the end, you'll have a practical, production-ready Redshift skillset you can apply immediately.
Who this course is for
Data engineers / analytics engineers who want production-ready Amazon Redshift skills
SQL-heavy analysts who want to understand ingestion, performance, and real AWS integrations (Spectrum, Data API, Datashare)
AWS developers building pipelines with S3, Glue, Lambda, Kinesis, and Redshift
Anyone preparing for interviews or job work involving COPY, Spectrum, performance tuning, and Redshift architecture
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4.91 GB | 9min 16s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​

Files Included :

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FileName :1 Course Overview.mp4 | Size: (26.47 MB)
FileName :2 Course Material.mp4 | Size: (13.29 MB)
FileName :3 Redshift Serverless and AWS Account BIlling Information.mp4 | Size: (15.56 MB)
FileName :4 Section Overview.mp4 | Size: (11.63 MB)
FileName :5 Modern Data Architecture 101.mp4 | Size: (50.68 MB)
FileName :6 Redshift 101 and Benefits.mp4 | Size: (31.04 MB)
FileName :7 Redshift Features.mp4 | Size: (33.93 MB)
FileName :8 Section and Architecture Assignment Recap.mp4 | Size: (20.31 MB)
FileName :9 Section Overview.mp4 | Size: (22.72 MB)
FileName :10 IAM 101.mp4 | Size: (13.34 MB)
FileName :11 IAM Policies.mp4 | Size: (46.7 MB)
FileName :12 KMS 101.mp4 | Size: (24.68 MB)
FileName :13 Hands On Lab Creating Redshift Serverless Instance.mp4 | Size: (107.03 MB)
FileName :14 Hands On Lab Connecting and Running Query in Redshift Serverless.mp4 | Size: (34.45 MB)
FileName :15 Demo Setting Up Redshift Provisioned.mp4 | Size: (90.28 MB)
FileName :16 Demo WLM and Other Properties Redshift Provisioned.mp4 | Size: (46.97 MB)
FileName :17 Redshift Serverless Vs Redshift Provisioned.mp4 | Size: (28.15 MB)
FileName :18 Section Overview.mp4 | Size: (14.32 MB)
FileName :19 Data Ingestion 101.mp4 | Size: (11.69 MB)
FileName :20 COPY Command 101.mp4 | Size: (22.13 MB)
FileName :21 Hands On Lab Ingesting Data from Data Lake COPY Command.mp4 | Size: (53.6 MB)
FileName :22 Hands On Lab Manifest file in COPY Command.mp4 | Size: (57.58 MB)
FileName :23 Hands On Lab Ingesting and Querying Semi Structured Data.mp4 | Size: (60.11 MB)
FileName :24 Hands On Lab Continue Querying Semi Structured Data.mp4 | Size: (27.4 MB)
FileName :25 Hands On Lab Extract Load Transform (ELT) While Querying Semistructured Data.mp4 | Size: (71.13 MB)
FileName :26 COPY Command Performance Enhancement.mp4 | Size: (57.49 MB)
FileName :27 Hands On Lab Automating COPY Command with Redshift Job Scheduler.mp4 | Size: (62.72 MB)
FileName :28 Event Bridge Rule and Automated Job Scheduling Execution Verification.mp4 | Size: (30.91 MB)
FileName :29 AWS Data Migration Services (DMS) 101.mp4 | Size: (9.16 MB)
FileName :30 Section Overview.mp4 | Size: (32.82 MB)
FileName :31 Hands On Lab UNLOAD in Redshift.mp4 | Size: (33.61 MB)
FileName :32 Redshift Stored Procedure Syntax and Types.mp4 | Size: (21.12 MB)
FileName :33 Hands On Lab Creating Stored Procedures.mp4 | Size: (54.5 MB)
FileName :34 Materialized View and EXPLAIN 101.mp4 | Size: (55.54 MB)
FileName :35 Hands On Lab Creating Materialized View.mp4 | Size: (38.37 MB)
FileName :36 Hands On Lab MERGE in Redshift Using Stored Procedure.mp4 | Size: (52.63 MB)
FileName :37 Hands On Lab Creating UDF in Redshift.mp4 | Size: (46.63 MB)
FileName :38 Section Recap and Deep Dive on ELT UPSERT and CTAS.mp4 | Size: (32.92 MB)
FileName :39 DATA API 101.mp4 | Size: (9.64 MB)
FileName :40 Redshift DATA API BOTO3 101.mp4 | Size: (37.42 MB)
FileName :41 Hands On Lab Creating Lambda and IAM Role to Run Query Using DATA API.mp4 | Size: (72.13 MB)
FileName :42 Hands On Lab Running Redshift DATA API Lambda.mp4 | Size: (37.94 MB)
FileName :43 Deep Dive Redshift DATA API Lambda Code.mp4 | Size: (43.11 MB)
FileName :44 Hands On Lab Completing Lambda Setup to Run Query Using Data API.mp4 | Size: (25.46 MB)
FileName :45 Section Review and Cross Account Redshift DATA API.mp4 | Size: (31.47 MB)
FileName :46 Redshift Spectrum Section Overview.mp4 | Size: (28.64 MB)
FileName :47 Spectrum 101 and Evaluation Of Spectrum.mp4 | Size: (40.67 MB)
FileName :48 Redshift Spectrum KeyConcepts Benefits and Limitations.mp4 | Size: (40.19 MB)
FileName :49 Redshift Spectrum Usecase and Comparison.mp4 | Size: (38.09 MB)
FileName :50 Hands On Lab Creating External Table.mp4 | Size: (67.13 MB)
FileName :51 Hands On Lab Running Query on External Table.mp4 | Size: (91.48 MB)
FileName :52 Hands On Lab Creating View on External Table.mp4 | Size: (113.13 MB)
FileName :53 Data Share 101.mp4 | Size: (48.93 MB)
FileName :54 Data Share Usecase.mp4 | Size: (37.57 MB)
FileName :55 Hands On Lab Producer AWS Redshift Setup (New Account).mp4 | Size: (72.56 MB)
FileName :56 Hands On Lab Consumer AWS Redshift Setup (Hands On AWS Account).mp4 | Size: (60.57 MB)
FileName :57 Hands On Lab Creating Data Share Schema.mp4 | Size: (47.36 MB)
FileName :58 Federate 101.mp4 | Size: (31.09 MB)
FileName :59 Hands On Lab Creating RDS Database.mp4 | Size: (74.52 MB)
FileName :60 Hands On Lab Loading Data into RDS.mp4 | Size: (30.63 MB)
FileName :61 Hands On Lab Setting Up IAM Role for Federated Query.mp4 | Size: (61.83 MB)
FileName :62 Hands On Lab Joining RDS and Redshift Data.mp4 | Size: (81.16 MB)
FileName :63 Redshift Streaming Ingestion 101.mp4 | Size: (48.02 MB)
FileName :64 CloudFormation 101.mp4 | Size: (24.01 MB)
FileName :65 Hands On Lab Creating a Kinesis Stream and Loading Data into Stream.mp4 | Size: (98.8 MB)
FileName :66 Hands On Lab Setting Up IAM Role and Connecting Kinesis to Redshift.mp4 | Size: (96.22 MB)
FileName :67 Skew Spills Advisor and Query Monitoring.mp4 | Size: (46.68 MB)
FileName :68 VACUUM and ANALYZE.mp4 | Size: (22.65 MB)
FileName :69 EXPLAIN Deep Dive Data Distribution.mp4 | Size: (35.4 MB)
FileName :70 EXPLAIN Deep Dive Data Sorting.mp4 | Size: (64.41 MB)
FileName :71 Redshift System Tables.mp4 | Size: (51.11 MB)
FileName :72 GRANT and REVOKE.mp4 | Size: (64.98 MB)
FileName :73 Redshift ML Fundamentals and Architecture 101.mp4 | Size: (38.07 MB)
FileName :74 Redshift ML Deep Dive and Code Walk Through.mp4 | Size: (46.85 MB)
FileName :75 Zero ETL Architecture and Implementation 101.mp4 | Size: (27.55 MB)
FileName :76 Zero ETL Use Cases Limitation and Comparison with DataShare.mp4 | Size: (22.28 MB)

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