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
This post focuses on building a react-native app which supports navigation using react-native-navigation. Why React Native Navigation? There are many ways in which we can implement navigation functionality in mobile apps developed using React Native. The two most popular among them are ‘React Navigation’ and ‘React Native Navigation’. As React Native Navigation uses the native... » read more
This post is a lot different from our earlier entries. Think of it as a reference flag post for people interested in a quick lookup for advanced analytics functions and operators used in modern data lake operations based on Presto. So you could, of course, use it in Presto installations, but also in some other... » read more
Setting up a Data Lake involves multiple steps such as collecting, cleansing, moving, and cataloging data, and then securely making that data available for downstream analytics and Machine Learning. AWS LakeFormation simplifies these processes and also automates certain processes like data ingestion. In this post, we shall be learning how to build a very simple... » read more
Today, we are very excited to share our insights on setting up a serverless architecture for setting up a lightening fast way* to copy large number of objects across multiple folders or partitions in an AWS data lake on S3. Typically in a data lake, data is kept across various zones depending on data lifecycle.... » read more
In Part1, we have learned and built the AWS services (API Gateway, Lambda, DynamoDB) specific components of the serverless architecture as shown below. We shall build the rest of the serverless architecture in this article. To sum it up, we will build Jotter (a note taking app) in React and use Amplify to talk to... » read more