https://dotnetcodr.com/amazon-cloud/
Amazon Cloud
Big Data Overall Architecture
- Architecture of a Big Data messaging and aggregation system using Amazon Web Services Part 1
- Architecture of a Big Data messaging and aggregation system using Amazon Web Services Part 2
- Architecture of a Big Data messaging and aggregation system using Amazon Web Services Part 3
- Architecture of a Big Data messaging and aggregation system using Amazon Web Services Part 4
- Architecture of a Big Data messaging and aggregation system using Amazon Web Services Part 5
Amazon Big Data Components and code
The message handler:kinesis
- Big data:using Amazon Kinesis with the aws.net API part 1:introduction
- Using Amazon Kinesis with the aws.net API part 2:stream, NET SDK and domain Setup
- Big data:using Amazon Kinesis with the aws.net API part 3:sending to the stream
- Big data:using Amazon Kinesis with the aws.net API part 4:reading from the stream
- Using Amazon Kinesis with the aws.net API part 5:validation
- Using Amazon Kinesis with the aws.net API part 6:storage
The raw data storage:s3
- Using Amazon S3 with the aws.net API part 1:introduction
- Using Amazon S3 with the aws.net API part 2:code Basics
- Using Amazon S3 with the aws.net API part 3:code Basics Cont ' d
- Using Amazon S3 with the aws.net API part 4:working with folders in code
- Using Amazon S3 with the aws.net API part 5:s3 in Big Data
- Using Amazon S3 with the aws.net API part 6:s3 in Big Data II
Data Storage Alternative:dynamodb
- Using Amazon DynamoDb with the aws.net API part 1:introduction
- Using Amazon DynamoDb with the aws.net API part 2:code beginnings
- Using Amazon DynamoDb with the aws.net API part 3:table operations
- Using Amazon DynamoDb with the AWS. NET API Part 4:record insertion
- Using Amazon DynamoDb with the AWS. NET API part 5:updating and deleting records
- Using Amazon DynamoDb with the AWS. NET API Part 6:queries
- Using Amazon DynamoDb with the AWS. NET API Part 7:its place in Big Data
Data Mining and Analysis Tool:elastic MapReduce
- Using Amazon Elastic MapReduce with the aws.net API part 1:introduction
- Using Amazon Elastic MapReduce with the aws.net API part 2:the cluster startup GUI
- Using Amazon Elastic MapReduce with the aws.net API part 3:starting and logging into a cluster
- Using Amazon Elastic MapReduce with the aws.net API part 4:hive Basics with Hadoop
- Using Amazon Elastic MapReduce with the AWS. NET API Part 5:cluster-related code
- Using Amazon Elastic MapReduce with the AWS. NET API part 6:hive with Amazon S3 and DynamoDb
- Using Amazon Elastic MapReduce with the AWS. NET API part 7:indirect Hive with. Net
- Using Amazon Elastic MapReduce with the AWS. NET API part 8:connection to our Big Data demo
Data Mining and Analysis Tool:redshift
- Using Amazon RedShift with the AWS. NET API Part 1:introduction
- Using Amazon RedShift with the AWS. NET API part 2:MPP definition and first cluster
- Using Amazon RedShift with the AWS. NET API part 3:connecting to the master node
- Using Amazon RedShift with the AWS. NET API Part 4:code beginnings
- Using Amazon RedShift with the AWS. NET API part 5:connecting to master node using ODBC
- Using Amazon RedShift with the AWS. NET API part 6:postgresql to master node using ODBC
- Using Amazon RedShift with the AWS. NET API Part 7:data warehousing and the star schema
- Using Amazon RedShift with the AWS. NET API Part 8:data warehousing and the star schema 2
- Using Amazon RedShift with the AWS. NET API Part 9:data warehousing and the star schema 3
- Using Amazon RedShift with the AWS. NET API part 10:redshift in Big Data
AWS Big Data Summary
- Big Data series:a Summary of Amazon Big Data tools we have discussed
Amazon Codepipeline
- Introduction to Amazon Code Pipeline with Java part 1:basics of CI/CD
- Introduction to Amazon Code Pipeline with Java part 2:setup
- Introduction to Amazon Code Pipeline with Java part 3:adding custom Job Runners
- Introduction to Amazon Code Pipeline with Java part 4:comparison with TeamCity and Jenkins
- Introduction to Amazon Code Pipeline with Java part 5:architecture key Terms
- Introduction to Amazon Code Pipeline with Java part 6:third Party Action Overview
- Introduction to Amazon Code Pipeline with Java part 7:the third party action user signup process
- Introduction to Amazon Code Pipeline with the Java part 8:the Job Agent communication process
- Introduction to Amazon Code Pipeline with the Java part 9:the Job Agent Continuation token
- Introduction to Amazon Code Pipeline with the Java part 10:the client Web pages
- Introduction to Amazon Code Pipeline with Java part 11:starting with the job agent
- Introduction to Amazon code Pipeline with the Java part 12:the Job Agent entry point in Code
- Introduction to Amazon Code Pipeline with the Java part 13:the client Token lookup service
- Introduction to Amazon Code Pipeline with Java part 14:the loadtest Executor service
- Introduction to Amazon Code Pipeline with Java part 15:the job processor interface and related objects
Geo-spatial Services
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 1:introduction and goals
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 2:maxmind source files
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 3:ipv4 range strategy
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 4:lng/lat range strategy
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 5:creating The IPV4 source file for Dynamod B
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 6:uploading IPv4 range to DynamoDb
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 7:querying the IPV4 range table
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 8:creating The Lng/lat coordinates source F Ile for DynamoDb
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 9:uploading the co-ordinate range to Dynamo Db
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 10:querying the coordinate range table
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 11:uploading the geolocation range to Dynam ODb
- Using Amazon DynamoDb for IP and co-ordinate based geo-location services part 12:querying the geolocation range to Dynamo Db
AMIs
- How to manage Amazon machine Images with the. NET Amazon SDK Part 1:starting an image instance
- How to manage Amazon machine Images with the. NET Amazon SDK part 2:monitoring and terminating AMI instances, managing Se Curity Groups
Data Pipeline
- An example of using shellcommandactivity on Amazon Data Pipeline
Elastic Beanstalk
- Creating an Amazon Beanstalk wrapper around a Kinesis application in Java
AWS & ASP.
