Data Engineering on AWS Vol 1 - OLAP & Data Warehouse
Query Queue In Action
Data Engineering on AWS Vol 1 - OLAP & Data Warehouse
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Introduction – Data Engineering Volume 1 on AWS
Course Introduction and Resources
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Course Introduction and Course Contents
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(Optional) AWS Pre-requisites – EC2 & EBS
AWS Cloud and EC2 Introduction
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EC2 Components & HandsOn 1
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EC2 Handson 2
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EBS Theory
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EBS HandsOn
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(Optional) AWS Pre-requisites – VPC
VPC Introduction & Components
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VPC Components Hands On
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Bastion Host
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Security Groups
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NAT Gateway & VPC Endpoint
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VPC Peering
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(Optional) AWS Pre-requisites – IAM
IAM Introduction & Hands On
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IAM Service Roles
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(Optional) AWS Pre-requisites – SQL Basics
SQL Introduction
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SQL Client & Server Setup
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SQL Database Objects Theory
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Database Objects Hands On
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CRUD Operations
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SELECT Operators
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CASE COALESCE Functions
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DATE Functions
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CTAS Cast Concat
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Update Delete Truncate
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HAVING Clause
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Inner Join, Left Join, Right Join, Outer Join
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Union Intersect View
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Materialized View
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Common Table Expression (CTE)
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SQL Window Functions
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MERGE statement & Summary
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(Optional) AWS Pre-requisites – Python Basics
Python Intro - Architecture, PyCharm, Virtual Env
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PyCharm & CLI Walkthrough
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Compiled vs Interpreted
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Everything is Python is Object
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String Data Type
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Number Data Type
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List Data Type
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Tuple Data Type
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Set & Dict Data Type, Type Conversion
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Python Operators & Memory
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Set up Python interpreter in PyCharm
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Print & Input Functions
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IF Statement
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For & While loops
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Functions Intro
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Function Scoping
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Functions RETURN
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Function Arguments
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Modify Arguments
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Positional & Keyword Arguments
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args & kwargs
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Class Object Self
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Class-Instance Variables, __init__
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Class Object Exercise 1
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Class Object Exercise 2
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Inheritance
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Python Memory Management
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Modules & Packages
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HandsOn Exercise
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Module Pre-compilation
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Namespace & __name__
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Error Handling in Python
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File Handling
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CSV & JSON module
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Python Multi-threading concept
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Multi-threading hands-on and exercise
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Debugging & Profiling
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Data Engineering Introduction
Data Engineering introduction, OLTP & OLAP
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Data Mart & Data Mesh
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Data Lake, Data Lakehouse, DWH
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AWS Distributed Storage – S3 (Simple, Storage, Service) for Data Engineers
Introduction 1
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Introduction 2
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Basics
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Basics Hands-on
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Versioning
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Encryption
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Storage Class
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Multipart Upload
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Lifecycle Policies
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Cross Region Replication
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Mountpoint
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Security - S3 Identity Based Policy
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Security - S3 Bucket Policy
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Bucket Policy with VPC, IP address, VPCE
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Access Point
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Object Lambda
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Pre-signed URL
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Performance Considerations
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Pricings
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Architectural Patterns using S3
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Data Modelling – Normalization, ER Diagram, Dimensional Modelling
Highlights
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Data Modelling Introduction
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Normal Forms 1NF 2NF 3NF
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Relations: one-to-one, one-to-many, many-to-one, many-to-many
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Dimensional modelling - Facts, Dimensions & Grains
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Grains Exercise
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Dimensional Modelling Technique
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Types of Fact & Dimension Tables
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Data Virt Semantic Presentation Layers
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Data Warehouse on AWS – Redshift Infra
Redshift Infra
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Redshift Infra HandsOn
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Redshift Architecture - Zone Map, Columnar Storage
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Cluster Resize - Elastic & Classic
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Cluster Resize - HandsOn
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Cluster Pause & Rename
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Snapshot & Backup
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Redsfhit Infra Conclusion
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Redshifts Objects
Querying, Connection, RSQL, QEV2
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Query Editor & RSQL setup
Video - 00:17:54 mins
Object Hierarcy, tables hands-on
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Data Types Hands-on
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Table operations Hands-on
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Redshift ACID, Locks, Isolation Level
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Implement Transactions
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AccessShareLock & ShareRowExclusiveLock HandsOn
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Redshift SUPER datatype
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Section Summary
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Redshift Deep Dive
Distribution Key & Style, Sort Key
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Column Compression
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Modify Dist Sort Key, Compression HandsOn
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COPY Command Theory
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COPY Command HandsOn
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UNLOAD Command
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AWS DMS - Move from OLTP to DWH
Video - 00:8:10 mins
DMS - Setup Source OLTP & Python application
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Setup DMS Instance, Endpoint, Task
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DMS Task - OLTP to DWH
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Table Maintenance - VACUUM & ANALYZE
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Vacuum & Analyze HandsOn
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Resdhift Features
Materialized View (MV)
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MV HandsOn
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Query Federation
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Redshift Spectrum
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Streaming Ingestion
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Redshift Feature Use Cases
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Redshift Query Tuning
Query Execution
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EXPLAIN Plan & System Joins
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System Joins HandsOn
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Data RE-distribution
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EXPLAIN & RE-distribution HandsOn
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Query Tuning Exercise - Part 1
Video - 00:31:17 mins
Query Tuning Exercise - Part 2
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Query Tuning Exercise - Part 3
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Redshift Workload Management (WLM)
WLM Intro & Query Queue
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Concurrency Scaling, Short Query Acceleration
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Configure WLM HandsOn
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Create Query Queue HandsOn
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Query Queue In Action
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Concurrency Scaling In Action
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Redshift Security- RBAC, CLS, RLS, Dynamic Data Masking (DDM)
Users, Roles, RBAC
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Users, Roles, RBAC HandsOn
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Row & Column Level Security (RLS & CLS)
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Multiple RLS Policies HandsOn
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CLS HandsOn
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Combine RLS & CLS HandsOn
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Dynamic Data Masking
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Track Users, Roles, CLS and RLS
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Audit Logging
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Monitoring in Redshift
Monitor Redshift using Console
Video - 00:18:00 mins
System Views for Monitoring Queries, Redshift Objects, Configuration Parms
Video - 00:20:50 mins
Reshift Serverless
Introduction to Redshift Serverless
Video - 00:12:12 mins
Create & Delete Redshift Serverless Resources
Video - 00:6:39 mins
COPY & UNLOAD in Serverless
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ZeroETL Integration Setup
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ZeroETL in Action
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Query Tuning Similarities
Video - 00:4:28 mins
Migrate from Provisioned to Serverless
Video - 00:3:55 mins
Detailed Redshift Pricing
Redshift Pricing Components
Video - 00:11:14 mins
Pricing Example - Provisioned, Serverless, Concurrency Scaling, Spectrum
Video - 00:11:15 mins
AWS Pricing Calculator
Video - 00:5:17 mins
Redshift Additional Information
Redshift Integration with AWS Services
Video - 00:13:1 mins
Redshift & Snowflake Comparison
Video - 00:19:46 mins
Redshift Best Practices
Video - 00:16:10 mins
Redshift Limitations and Challenges
Video - 00:16:28 mins
AWS Metadata Repository – Glue Data Catalog
AWS Glue Catalog - Theory
Video - 00:8:36 mins
Glue Catalog - Setup Data Stores & IAM Roles HandsOn
Video - 00:8:29 mins
Store Aurora metadata in Glue Catalog
Video - 00:17:55 mins
Store S3 and Redshift metadata in Glue Catalog
Video - 00:10:50 mins
Data Governance using AWS Lake Formation
Lake Formation Introduction
Video - 00:17:56 mins
Permission Flow HandsOn 1
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Permission Flow HandsOn 2
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Lake Formation - Tag Based Access Control (LF-TBAC)
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LF-TBAC HandsOn
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LF - Data Filtering
Video - 00:11:18 mins
LF Clean Up (Please complete this)
Video - 00:3:29 mins
Data Lakehouse on AWS – Athena
Athena Introduction
Video - 00:16:41 mins
Athena Intro Hands On
Video - 00:10:44 mins
Athena SerDe, File & Row format
Video - 00:12:51 mins
SerDe, Format, CTAS Hands On
Video - 00:12:52 mins
UNLOAD, Prepare & Execute, Query JSON
Video - 00:8:40 mins
UNLOAD, Prepare & Execute, Query JSON Hands On
Video - 00:17:27 mins
Schema Evolution, JSON_EXTRACT
Video - 00:13:54 mins
Iceberg, ACID
Video - 00:26:19 mins
Athena Partitioning & Bucketing
Video - 00:19:28 mins
More DDL Commands
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Athena WLM Theory
Video - 00:8:3 mins
Workgroup HandsOn
Video - 00:11:32 mins
Capacity Reservation HandsOn
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Performance Tuning Theory
Video - 00:13:29 mins
Athena Pricing & Performance Tuning
Video - 00:15:46 mins
Architectural Patterns using Athena
Video - 00:8:30 mins
Big Data Warehouse – HIVE
Hadoop Theory
Video - 00:21:5 mins
File Formats
Video - 00:8:58 mins
Hive Architecture & Components
Video - 00:16:35 mins
Hive CLI
Video - 00:3:21 mins
Data Types, databases, tables, File & Row Format, Hive SerDe
Video - 00:12:57 mins
Hive Databases hands-on
Video - 00:17:7 mins
Hive Tables hands-on
Video - 00:16:40 mins
Partitioning & Bucketing
Video - 00:16:55 mins
Partitioning & Bucketing hands-on
Video - 00:19:30 mins
Load, insert, ACID, Materialized Views etc
Video - 00:15:8 mins
JOINs, Locks, Configuration Parameters
Video - 00:14:26 mins
Projects – Redshift, Athena, DataModelling, Pythin (Total Dataset Size – 150 GB)
Project 1 & 2 Data Modelling, Python Coding & Redshift SQL (Dataset - 10.4 GB)
Video - 00:7:7 mins
Project 3 & 4 - Administration & Move from OLTP to OLAP (Dataset - 1.3 GB)
Video - 00:6:51 mins
Project 5 - Redshift Performance Tuning (Dataset - 135 GB)
Video - 00:7:45 mins
Project 1 & 2 - PDF
Reading
Project 3 & 4
Reading
Project 5
Reading
New Features – Redshift, S3 & Athena
New Features - Introduction
Video - 00:1:7 mins
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