Face Recognition App In React Native using AWS Rekognition
Face Recognition App In React Native using AWS Rekognition

Note: Some images in this blog post aren’t showing up, we are working on resolving it. You could view the same post with all images on medium here. https://medium.com/zenofai/face-recognition-app-in-react-native-using-aws-rekognition-c10b188a6413 In this blog we are going to build an app for registering faces and verifying faces using Amazon Rekognition in React Native. Installing dependencies: Let’s go... » read more

Real Time Data Engineering Pipeline for Machine Learning
Real Time Data Engineering Pipeline for Machine Learning

Our focus in this post is to leverage Google Cloud Platform’s Big Data Services to build an end to end Data Engineering pipeline for streaming processes. So what is Data Engineering?Data Engineering is associated with data specifically around data delivery, storage and processing. The main goal is to provide a reliable infrastructure for data which... » read more

Processing Kinesis Data Streams with Spark Streaming

Solution Overview : In this blog, we are going to build a real time anomaly detection solution using Spark Streaming. Kinesis Data Streams would act as the input streaming source and the anomalous records would be written as Data Streams in DynamoDB. Amazon Kinesis Data Streams (KDS) is a massively scalable and durable real-time data streaming... » read more

A Beginner’s Guide to Airflow

Airflow is used to create code pipeline where we can schedule and monitor our workflows. A workflow can be a collection of tasks to be executed like a flowchart. It is like an orchestra conductor that controls all different data processing tools/tasks under one roof. Why Airflow? Open source. Can handle upstream/downstream in an elegant... » read more