Rackspace Guzzle Data Engineering workbench is a cloud-based data engineering solution that automates the movement and transformation of data. It allows to quickly create, deploy, and monitor data ingestion, processing, reconciliation, data quality and house-keeping job. Guzzle supports sourcing and transforming data of various formats from wide array of sources including: cloud storage services, REST API, and JDBC, and write the results in to multiple types of targets. The transformed data can then be consume by BI and analytics tools, and other applications to drive business insights. Key features of Guzzle: - Securely deployed on Virtual Machine within the your VNET - Native to Databricks Spark, Delta Lake and Azure services - Simple to deploy and use - Abstract commonly used data integration patterns to accelerate - Handle Diverse workloads : Batch, Micro-Batch, Streaming and API - Supports wide array of sources and target data stores - Enterprise grade Auditability, Governance, Traceability and Provenance - Integration with Github and support for GIT workflows to version the job metadata - Run data pipelines with fine-tuned control and automated cluster management for Databricks - Supports on-premises connection via secured SSH tunnel