Kafka, Flink and DynamoDB for Real Time Fraud Detection – Part 1 Local Development
Apache Flink is widely used for building real-time stream processing applications. On AWS, Kinesis Data Analytics (KDA) is the easiest option to develop a Flink app as it provides the underlying infrastructure. Re-implementing a solution from an AWS workshop, this series of posts discuss how to develop and deploy a fraud detection app using Kafka, Flink and DynamoDB. Part 1 covers local development using Docker while deployment via KDA will be discussed in part 2.
How to Build, Train and Deploy Your Own Recommender System – Part 2
In this article, JO Reyes demonstrates how to build a recommender system from the ground up and deploy it to serverless AWS.
Dark launches with AWS AppConfig
In this blog, Will Dady explores AWS AppConfig, a service from AWS which enables you to deploy, manage and update application configurations.
Introduction to React
In this blog, Rohith Poyyeri guides us through the process of building a ToDo application from scratch using React.
Inside The Hive with Aden Rashid
Learn about Aden Rashid career journey, what she loves about working at Cevo, and her tips for other women entering the IT industry.
How to Build, Train and Deploy Your Own Recommender System – Part 1
In this article, JO Reyes explains how to build a recommender system using Matrix Factorisation.
Exploring The Power of Vector Databases (Part 1)
In this blog, Rene Essomba provides an exploration of vector databases, a type of NoSQL database designed to handle large and complex data types effectively.
Continuous Data Ingestion with Snowpipe and Stream in Snowflake
In this blog, Jayaananth Jayaram demonstrates how to create a Snowflake data pipeline to automate the manual processes involved in creating and managing ELT logic for transforming and improving continuous data loads.
Kafka Connect for AWS Services Integration – Part 3 Deploy Camel DynamoDB Sink Connector on MSK Connect
In this post, I will illustrate how to deploy data ingestion applications using Amazon MSK and MSK Connect. Fake order data will be generated using the MSK Data Generator source connector, and the Camel DynamoDB sink connector will be configured to consume the topic messages to ingest them into a DynamoDB table.
Introduction to Angular
In this blog, Rohith Poyyeri documents a step-by-step process of building a ToDo application from scratch, kick-starting your Angular developer journey.