Prioritising Data Quality with dbt-expectations: A Practical Approach to Building Reliable Data Pipelines
Discover how dbt-expectations enhances data quality checks within dbt pipelines, ensuring reliable analytics and streamlined workflows.
Supercharge your Data Validation: Using CTEs and Pandas to seamlessly compare CSV data with Postgres RDS
Learn to use CTEs and Pandas to efficiently compare CSV data with a PostgreSQL database without loading all data into memory.
Serverless Solution for RDS Granular Database Backup – Part 1
This blog explores a serverless AWS solution designed to address the challenges of conducting efficient granular backups of RDS databases, offering insights into its architecture and benefits.
Retrieval Augmented Generation (RAG) Options in AWS
Cevo Consultant JO Reyes explores options for building Generative AI applications using Amazon Web Services (AWS).
Deploy ETL Data Pipelines in Amazon Web Services using Azure DevOps
Discover streamlined ETL pipeline deployment in AWS using Azure DevOps, ensuring reliability and efficiency for data-driven decision-making.
Multi-account Deployment of An Open-Source Vector Database on AWS
Learn how deploying Weaviate on AWS EKS across multiple accounts enhances security, control and innovation while safeguarding operations.
Deploying an Open-Source Vector Database on AWS – Part 2
In this lab, we will create a Kafka producer application using AWS Lambda, which sends fake taxi ride data into a Kafka topic on Amazon MSK. A configurable number of the producer Lambda function will be invoked by an Amazon EventBridge schedule rule. Therefore, we are able to generate test data concurrently based on the desired volume of messages.
Deploying an Open-Source Vector Database on AWS – Part 1
In this lab, we will create a Kafka producer application using AWS Lambda, which sends fake taxi ride data into a Kafka topic on Amazon MSK. A configurable number of the producer Lambda function will be invoked by an Amazon EventBridge schedule rule. Therefore, we are able to generate test data concurrently based on the desired volume of messages.
Real Time Streaming with Kafka and Flink – Lab 1 Produce data to Kafka using Lambda
In this lab, we will create a Kafka producer application using AWS Lambda, which sends fake taxi ride data into a Kafka topic on Amazon MSK. A configurable number of the producer Lambda function will be invoked by an Amazon EventBridge schedule rule. Therefore, we are able to generate test data concurrently based on the desired volume of messages.
Orchestrating Snowflake Data Transformations with DBT on Amazon ECS through Apache Airflow- Part 2
We explore how AWS CloudWatch math metrics provide a powerful way to derive insights and take automated actions based on custom calculations.
