AWS Redshift Tutorial For Beginners | Amazon Redshift Tutorial | AWS Training Video | Simplilearn

This Amazon Redshift tutorial will help you understand the different features offered by AWS Redshift. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools. It allows you to run complex analytic queries against petabytes of structured data, using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution. Most results come back in seconds. With Amazon Redshift, you can start small for just $0.25 per hour with no commitments and scale out to petabytes of data for $1,000 per terabyte per year, less than a tenth the cost of traditional solutions.

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Below topic are explained in this AWS Redshift Tutorial:
-( 00:11 ) What is Amazon Redshift
-( 00:29 ) LAP and Columns
-( 01:18 ) Redshift Columnar Storage
-( 01:49 ) Redshift Nodes
-( 02:34 ) Limitations
-( 02:58 ) Redshift Costs

Amazon Redshift also includes Redshift Spectrum, allowing you to directly run SQL queries against exabytes of unstructured data in Amazon S3. No loading or transformation is required, and you can use open data formats, including CSV, TSV, Parquet, Sequence, and RCFile. Redshift Spectrum automatically scales query compute capacity based on the data being retrieved, so queries against Amazon S3 run fast, regardless of data set size.

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About the Simplilearn AWS course:

This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready aws certified solutions architect to help you qualify for a position as a high-quality AWS professional. Practice assignments and three live projects are designed to give you hands-on experience with the AWS management console.

The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security.. By the end of this AWS training course you will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, compute, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms

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Who should go for this AWS course?
This course is ideal for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud based solutions and migrate existing workloads to the cloud.

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Following projects are covered in this AWS course:

Project 1
Create a custom VPC with public and private subnets on two availability zones and launch instances into each subnet.

Project 2
Launch two web servers and configure a load balancer and auto scaling.

Project 3
Configure RD Gateway on a VPC with a public and private subnet.

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