Write S3 Event Message Into DynamoDB Using Lambda Function

Objective

The objective of this article is to create a lambda function that will parse the event time and object key from an S3 event message when a new object is created/uploaded into the S3 bucket. The lambda function will also put these datas into the DynamoDB table.

Now, let’s discuss about the services and tools that we’ll use in this project.

AWS Lambda

AWS lambda lets the user to run code without provisioning or managing servers and the user needs to pay for how much they use. The user can also scale it up and down according to their needs.

AWS S3

Amazon S3 has a simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.

#amazon-dynamodb #aws-s3 #aws-lambda #aws-sam #aws-cloud9

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Write S3 Event Message Into DynamoDB Using Lambda Function

Objective

The objective of this article is to create a lambda function that will parse the event time and object key from an S3 event message when a new object is created/uploaded into the S3 bucket. The lambda function will also put these datas into the DynamoDB table.

Now, let’s discuss about the services and tools that we’ll use in this project.

AWS Lambda

AWS lambda lets the user to run code without provisioning or managing servers and the user needs to pay for how much they use. The user can also scale it up and down according to their needs.

AWS S3

Amazon S3 has a simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.

#amazon-dynamodb #aws-s3 #aws-lambda #aws-sam #aws-cloud9

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Event-based AWS Lambda Function with Java and Maven using S3 Events

Part III of the Serverless Guide using AWS Lambda, Java 11, and Maven.

This part focuses on deploying an AWS Lambda which is triggered by an S3 event whenever a file is uploaded to an S3 bucket.

Part I: https://www.youtube.com/watch?v=Yq1MoTAS5ps
Part II: https://www.youtube.com/watch?v=5tVayUL1iQs
Part III: https://www.youtube.com/watch?v=_EPtVIX131c
Part IV: https://www.youtube.com/watch?v=_fNu9kn47kM
Part V: https://www.youtube.com/watch?v=5d03ifYTHcE

Further resources:

» Source code: https://github.com/rieckpil/blog-tutorials/tree/master/serverless-java-aws-examples/simple-aws-lambda
» Serverless homepage: https://www.serverless.com/
» Real-world AWS Lambda example to create image thumbnails: https://rieckpil.de/aws-lambda-with-serverless-java-and-maven-thumbnail-generator/

#lambda #maven #java #s3 events

PANDAS: Most Used Functions in Data Science

Most useful functions for data preprocessing

When you get introduced to machine learning, the first step is to learn Python and the basic step of learning Python is to learn pandas library. We can install pandas library by pip install pandas. After installing we have to import pandas each time of the running session. The data used for example is from the UCI repository “https://archive.ics.uci.edu/ml/datasets/Heart+failure+clinical+records ”

1. Read Data

2. Head and Tail

3. Shape, Size and Info

4. isna

…

#pandas: most used functions in data science #pandas #data science #function #used python data #most used functions in data science

Bulk data ingestion from S3 into DynamoDB via AWS Lambda

Imagine we have a large database in excel or CSV format, and we are looking to bring it alive by loading it into DynamoDB. This article presents a streamlined approach to this problem by leveraging the AWS Lambda services.

The rest of the article explains these steps in detail:

1. Create a bucket and upload your data

2. Create an IAM role with required permissions

3. Configure a Lambda function.

4. Add code into your Lambda function

Upload your data into S3

You begin by first pushing your CSV data into an S3 bucket. You can do this either programmatically or via your AWS account console. For security purposes, you may keep all the public access to your bucket blocked. The Lambda function will access your bucket contents programmatically with the appropriate IAM policy attached to it. We will cover this in the following sections.

#data-ingestion #s3 #lambda #dynamodb #aws