How Cevo helps organisations meet their CDR requirements

In this post, Rohith Poyyeri explores the concept of CDR and its significance in enhancing consumer control and informed decision-making.
Kafka Connect for AWS Services Integration – Part 2 Develop Camel DynamoDB Sink Connector using Docker

The suite of Apache Camel Kafka connectors and the Kinesis Kafka connector from the AWS Labs can be effective for building data ingestion pipelines that integrate AWS services. In this post, I will illustrate how to develop the Camel DynamoDB sink connector using Docker. Fake order data will be generated using the MSK Data Generator source connector, and the sink connector will be configured to consume the topic messages to ingest them into a DynamoDB table.
Kafka Connect for AWS Services Integration – Part 1 Introduction

Kafka Connect is a tool for scalably and reliably streaming data between Apache Kafka and other systems. It can be used to build real-time data pipeline on AWS effectively. In this post, I will introduce available Kafka connectors mainly for AWS services integration. Also, developing and deploying some of them will be covered in later posts.
Integrate Glue Schema Registry with Your Python Kafka App – Part 2

Glue Schema Registry provides a centralized repository for managing and validating schemas for topic message data and it can be utilized by many AWS services when building streaming apps. In this series, we discuss how to integrate Python Kafka producer and consumer apps In AWS Lambda with the Glue Schema Registry. In part 2, Kafka apps are deployed and their behaviour is discussed.
Integrate Glue Schema Registry with Your Python Kafka App – Part 1

Glue Schema Registry provides a centralized repository for managing and validating schemas for topic message data and it can be utilized by many AWS services when building streaming apps. In this series, we discuss how to integrate Python Kafka producer and consumer apps In AWS Lambda with the Glue Schema Registry. In part 1, I illustrate the infrastructure and Kafka apps.
Cevo’s Guide to AWS Summit Sydney 2023

Welcome to Cevo’s guide to AWS Summit Sydney for 2023, where we share session recommendations designed to enhance your cloud journey.
Using Apache Spark and Glue Job to load Apache Iceberg tables on batch and streaming mode

In this article, Fabio Ramos explains how you can implement Apache Iceberg in your modern data architecture.
Using Apache Iceberg in your modern data architecture

In this article, Fabio Ramos explains how you can implement Apache Iceberg in your modern data architecture.
Simplify Streaming Ingestion on AWS – Part 2 MSK and Athena

Streaming ingestion from Kafka (MSK) into Redshift and Athena can be much simpler as they now support direct integration. In part 2, we discuss an end-to-end streaming ingestion solution using EventBridge, Lambda, MSK and Athena. We also use AWS SAM integrated with Terraform for developing a Lambda function locally.
Amazon Rekognition vs. Amazon SageMaker: Choosing the right service for your image recognition and classification projects

This blog explores and compares Amazon Rekognition and Amazon SageMaker to discover the right fit for your business needs.