(AWS Certification Training: https://www.edureka.co/cloudcomputing) This “Amazon Redshift" tutorial by Edureka will help you understand what Amazon Redshift is & how to set up a data warehouse on cloud using Amazon Redshift. Below are the topics covered in the ppt: 1. Traditional Data Warehouse 2. Amazon Redshift – A to Z 3. Demo on Amazon Redshift Check out our complete AWS Playlist here: https://goo.gl/8qrfKU

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Agenda
Amazon Redshift
Traditional Data Warehouse1
Amazon Redshift – A to Z2
Demo On Amazon Redshift3

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Traditional Data Warehouse

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Data Warehouse
“A data warehouse is a subject-oriented,
integrated, time-variant and non-volatile
collection of data in support of organisation’s
decision-making process”

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Architecture Of Traditional Data Warehouse
OLAP
Server
OLAP
Server
Middle Tier
Query Reports
Analytics
Data Mining
Top Tier
Operational Database
Data Sources
External Sources
Data
Warehouse
Bottom Tier
Data Marts

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Disadvantages of Traditional Data Warehouse
Difficult to set-up,
deploy & manage
Performance Issues
Difficult to scale up
or down
Spiralling costs
Business Services
Company

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Amazon Redshift

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Amazon Redshift
It is a massively parallel, column-orientated
database deployed on the AWS platform that makes
it simple and cost-effective to analyse all your data
across your data warehouse and data lake.
Amazon Redshift

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Key Concepts
Leader Node
Compute Node1
Compute Noden
…..
JDBC
ODBC
Cluster & Nodes Nodes
Dense Storage(DS)
Dense Compute(DC)
Node you choose depends on:
1
2
3
Data Quantity
Complexity Of Queries
Downstream Systems
Node Slices Node Slices
Client Applications

10. AWS Architect Certification Training https://www.edureka.co/cloudcomputing
Key Concepts
Leader Node
Compute Node1
Compute Noden
…..
JDBC
ODBC
Node Slices Node Slices
Client Applications

11. AWS Architect Certification Training https://www.edureka.co/cloudcomputing
Why Use Amazon Redshift
Difficult to set-up, deploy & manage1 Easy to set-up, deploy & manage1
Configure the
details
Deploy with
just a click
Manage,
Monitor &
Scale

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Difficult to scale up or down2 Scales quickly to meet you needs2
Why Use Amazon Redshift
LN
CN CN CN
Cluster
LN
CN CNCN CN CN
LN
CN CN
Scale-Up Scale-Down
LN CN
Single-Node
LN
CN CNCN
Multiple-Node

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Decrease in the performance3 10x better & faster performance3
Why Use Amazon Redshift
Columnar Data Store
SSN NAME AGE
107135024 Jenson 25
382634557 Sam 27
Row Storage
107135024 | Jenson | 25 382634557 | Sam | 25
Block 1 Block 2
SSN NAME AGE
107135024 Jenson 25
382634557 Sam 27
Block 1
382634557 | 107135024 | …… Jenson | Sam | ……
Block 2
Column Storage

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10x better & faster performance3
Why Use Amazon Redshift
Massively Parallel Processing - Clustering
LN
CN CN CN
Cluster
Compute Node1

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Why Use Amazon Redshift
Spiralling - costs4 Cost - Effective4
Cheaper to set-up because of no hardware
or upfront costs
Cost – Effective & 1/10th of traditional
data warehouse

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Why Use Amazon Redshift
Allows to query from data lake5
Amazon Redshift Amazon Redshift
Spectrum
Data Lake
Data Catalog
( CSV, Paraquet,
TSV, RCFile etc)
Needs More Effort & Cost

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Why Use Amazon Redshift
Data is secure in Redshift6
Backup & Recovery
101101
101000
101101
101000
S3
101101
101000
101101
101000
Encryption

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Demo - Setting Up A Data Warehouse

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Prerequisites
Install SQL Drivers & Tools
Install SQL Workbench/J
Install JDBC Driver
Make sure you have Java
Runtime Enabled on your OS

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