We have been getting a lot of queries on how to customize a single QuickSight dashboard for user specific data. We can accomplish this by filtering the dashboard data with login username using AWS QuickSight’s Row-Level Security. To further explain this use-case, let’s consider the sales department in a company. Every day your team of... » read more
Machine Learning Transforms in AWS Glue AWS Glue provides machine learning capabilities to create custom transforms to do Machine Learning based fuzzy matching to deduplicate and cleanse your data. For this we are going to use a transform named FindMatches. The FindMatches transform enables you to identify duplicate or matching records in your dataset, even... » read more
In this blog post, we’ll be looking at how one could leverage AWS Simple Queue Service (Standard queue) to achieve high concurrency while processing with no duplicates. Also we compare it with other AWS services like DynamoDB, SQS FIFO queue and Kinesis in terms of cost and performance. A simple use case for the below... » read more
In this story, we are going to build an app for detecting text in an image using Amazon Rekognition in React Native. You shall learn how to build a mobile application in React Native, which talks to AWS API Gateway. This API endpoint is configured with a lambda that stores the sent image in S3... » read more
Amazon Kinesis Data Analytics Amazon Kinesis Data Analytics (KDA) is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. KDS reduces the complexity of building, managing and integrating streaming applications with other AWS services. SQL users can easily query streaming data or build... » read more
In this post, we are going to build a React Native app for detecting objects from an image using Amazon Rekognition. Here we will capture an Image or Select it from file system. We will send that image to API Gateway where it triggers the Lambda Function which will store in S3 Bucket. The stored image... » read more
In this post, I will be discussing as an example how an automobile manufacturing company could utilize QuickSight to analyze their sales data and make better decisions. We will also learn how to best optimize the QuickSight operational cost structure by using SPICE engine to ingest source data at certain recurring intervals from Athena queries. This... » read more
Most often analyzing data sets to summarize their main characteristics, is done with visuals. Yet still one has to sift through the visuals, drilling down, comparing values, and rechecking ideas to extract a conclusion. But with QuickSight that is not the case, using its auto-narratives feature, one could extrapolate conclusion from the data analysis or... » read more
This post walks you through all the steps required to build a data engineering pipeline for batch data using AWS Step Functions. The sequence of steps works like so : the ingested data arrives as a CSV file in a S3 based data lake in the landing zone, which automatically triggers a Lambda function to... » read more
Note: Some images in this blog post are not showing up, please read the same post on medium here. In this post, we are going to learn how to perform facial analysis on a live feed by setting up a serverless video analytics architecture using Amazon Rekognition Video and Amazon Kinesis Video Streams. Use cases:... » read more