The transformative power of modern data solutions
In this blog, we explore the transformative power of modern data solutions, and the benefits they can provide organisations.
Snowflake Dynamic Data Masking: Enhancing Data Security and Compliance
In this blog, Jayaananth Jayaram highlights how both EMR Serverless PySpark jobs on MWAA can revolutionise big data processing and analysis.
Building Serverless PySpark Jobs with EMR-Serverless and MWAA
In this blog, Jayaananth Jayaram highlights how both EMR Serverless PySpark jobs on MWAA can revolutionise big data processing and analysis.
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.
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.
Leveraging AWS to Drive Growth and Efficiency: Success Stories of Startups
Saisha Hardikar covers real-world examples of how startups have harnessed the power of data analytics, machine learning (ML), and AWS as a Software-as-a-Service (SaaS) platform to maximise their potential.
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.