Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use.
With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.
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Amazon EventBridge
Amazon EventBridge serves as a serverless event bus that simplifies the integration of applications by utilizing data from your own systems, various Software-as-a-Service (SaaS) offerings, and AWS services. It provides a continuous flow of real-time data from event sources like Zendesk, Datadog, and PagerDuty, efficiently directing that information to targets such as AWS Lambda. By establishing routing rules, you can dictate the destination of your data, enabling the creation of application architectures that respond instantaneously to all incoming data sources. EventBridge facilitates the development of event-driven applications by managing essential aspects like event ingestion, delivery, security, authorization, and error handling on your behalf. As your applications grow increasingly interconnected through events, you may find that greater effort is required to discover and comprehend the structure of these events in order to effectively code responses to them. This can enhance the overall efficiency and responsiveness of your application ecosystem.
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AWS Lambda
Execute your code without having to worry about server management, paying solely for the computational resources you actually use. AWS Lambda allows you to run your code without the need for provisioning or overseeing servers, charging you exclusively for the time your code is active. With Lambda, you can deploy code for nearly any kind of application or backend service while enjoying complete freedom from administrative tasks. Simply upload your code, and AWS Lambda handles everything necessary for running and scaling it with exceptional availability. You have the flexibility to set your code to automatically respond to triggers from other AWS services or invoke it directly from any web or mobile application. Furthermore, AWS Lambda efficiently runs your code without the need for you to manage server infrastructure. Just write your code and upload it, and AWS Lambda will take care of the rest. It also automatically scales your application by executing your code in response to each individual trigger, processing them in parallel and adapting precisely to the workload's demands. This level of automation and scalability makes AWS Lambda a powerful tool for developers seeking to optimize their application's performance.
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