Mantel Group has introduced Data Pipeline Accelerators for Databricks, aimed at revolutionizing the approach companies take to data and artificial intelligence projects. Through a combination of Mantel Group’s expertise in AWS data services and Databricks capabilities like Databricks Asset Bundles, they offer comprehensive data pipeline solutions that incorporate software engineering best practices.
One key feature of this offering is the deployment of native AWS data services using infrastructure as code and automation. By leveraging services such as Amazon AppFlow, Kinesis, Managed Streaming for Apache Kafka, and AWS Glue, business data can be ingested and prepared for Databricks on AWS efficiently.
Databricks Asset Bundles provide an infrastructure-as-code approach that simplifies project management. Mantel Group works with clients to define project structures and templates to ensure consistency and adherence to best practices across teams.
Optimized workflows are achieved through defining Databricks resources as source files, simplifying collaboration and active development. The inclusion of metadata with project source files facilitates provisioning of infrastructure and resources when deploying to target environments.
Integration and continuous delivery are facilitated by Mantel Group, enabling data engineers to adopt CI/CD for structuring, testing, and deploying Databricks projects on AWS. The packages developed by Mantel Group ensure a consistent and reliable delivery process.
Efficient collaboration and implementation are supported through the ability for multiple contributors to work on a project simultaneously. Templates and YAML files for metadata bundling ensure smooth deployment managed through CI/CD pipelines.
Mantel Group provides continuous support with comprehensive guides and assistance for implementing and deploying AWS services and Databricks asset packages. Organizations can also consider leveraging Mantel Group’s managed data services for 24/7 support of their data pipelines to ensure uninterrupted business processes.
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