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.
Discover how dbt-expectations enhances data quality checks within dbt pipelines, ensuring reliable analytics and streamlined workflows.
Explore migrating a Docker container application to AWS Fargate using Terraform for automated infrastructure deployment and CI/CD integration.
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.
In this blog, Cevo Consultant Warren Abundo introduces and compares Podman as an alternative tool to Docker and Docker desktop.
In this blog, Puneet Punj explores Docker networking, including how to build Docker networks and start containers inside of those networks.
This post explores the use of base images in containers with AWS Lambda, and demonstrates how to build a Docker image and deploy it in the Lambda service using AWS Elastic Container Registry.
In this article, Puneet Punj steps through how to implement Step Functions to test the state machine locally using Docker.
We will discuss how to configure the Kafka consumer to seek offsets by timestamp where topic partitions are dynamically assigned by subscription. Docker Compose is used for building a single node Kafka cluster and running multiple consumer instances.
We’ll discuss how to create a Spark local dev environment for EMR using Docker and/or VSCode. A range of Spark development examples are demonstrated and Glue Catalog integration is illustrated as well.
We’ll contunue the discussion of a Change Data Capture (CDC) solution with a schema registry and its deployment to AWS. All major resources are deployed in private subnets and VPN is used to access them in order to improve developer experience. The Apicurio registry is used as the schema registry service and it is deployed as an ECS service. In order for the connectors to have access to the registry, the Confluent Avro Converter is packaged together with the connector sources. The post ends with illustrating how schema evolution is managed by the schema registry.
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