Tag introduction

Introducing the real-time data store: Kinesis Streams

Introducing the real-time data store: Kinesis Streams

Kinesis is all about real-time data: Kinesis Streams are a temporary store for real-time data. Append new events or read all events in order. Kinesis Analytics helps you to analyze data in real-time. Kinesis Firehose ingests real-time data into data st...

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Introducing the Object Store: S3

Introducing the Object Store: S3

Back in the old days, data was managed as files in a hierarchy consisting of folders and files. The file was the representation of the data. In an object store, data is stored as objects. Each object consists of a globally unique identifier, some metada...

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Discovering Machine Learning with Iris flower data set

Discovering Machine Learning with Iris flower data set

Today I want you to show how you can use the Amazon Machine Learning service to train (supervised learning) a model that can categorize data (multiclass classification). Introduction to Machine LearningGiven you have a spreadsheet with data, one column ...

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A look at DynamoDB

Scaling a traditional, relational database is very hard because transactional guarantees (Atomicity, Consistency, Isolation, Durability also known as ACID) require communication between all nodes of the database. The more nodes you add, the slower your ...

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What can you do with AWS?

What can you do with AWS?

This article excerpted from Amazon Web Services in Action, shows that you can run any application on AWS by using one or a combination of different services. The four examples we present in this article will give you an idea of what you can do with AWS....

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Incident Management for Slack

Team up to solve incidents with our chatbot marbot. Never miss a critical alert. Escalate alerts from your AWS infrastructure among your team members. Strong integrations with all parts of your AWS infrastructure: CloudWatch, Elastic Beanstalk, RDS, EC2, ...

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