As a team that largely contributed to the development of CDAP - a framework on which Cloud Data Fusion has been founded - we know both these tools inside out, including how to effectively apply them for enterprise use cases.
Cloud Data Fusion (CDF) is a fully managed, cloud-native data integration service within Google Cloud Platform (GCP) that helps users efficiently build and manage ETL/ELT data pipelines. It features an intuitive graphical UI that replaces coding with visual layouts for your enterprise data pipelines. You can also take advantage of a broad collection of open-source transformations and connectors to speed up and simplify your data integration tasks.
Cloud Data Fusion is built on an open source technology called CDAP and, essentially, is a managed version of CDAP integrated in GCP. As a Google Cloud partner and the company offering enterprise support for CDAP, CyberVision is also an expert provider of CDF enterprise support services. We can help you kickstart your digital transformation efforts and get you right on track with modern tools, like GCP and CDF.
Use straightforward point-and-click data integration to save time, improve learning curves, and minimize errors
Unlock such advantages of Google Cloud as scalability, reliability, security, and privacy
Use integration with Google Security services (IAM+IAP) to ensure enterprise-grade security
Address all your operational monitoring and integration needs with REST APIs, state-based triggers, logs, time-based scheduling, pipeline, metrics and more
Take advantage of built-in connectors for a variety of modern and legacy systems, code-free transformations, and error processing tools
Create and share an internal library of custom connections and transformations
We provide expert software engineering, consulting, and system support services for Google Cloud Data Fusion and related Data Analytics components within GCP. Our Google certified engineers can help you address every part of Cloud Data Fusion implementation and ensure fast, reliable results.
Data infrastructure setup on GCP
Cloud Data Fusion configuration
Configuration of GCP applications and tools
Infrastructure, data, and business application transfer
GCP service architecture for data orchestration
Cloud Data Fusion use case development
Data fetch from external data sources including Oracle, SAP, etc.
Cleansing and refining raw data
Creating custom ETL/ELT data pipelines
ETL/ELT pipeline templates
Advanced analytics design and implementation
Connecting an external analytics engine
Custom software development
Data consolidation
Cloud Data Fusion setup and maintenance
Performance monitoring
Troubleshooting
Security & user management
Technical support
GCP infrastructure management
Broad expertise with popular cloud platforms and technology stacks
Over 25 years in the industry, early adopters of cloud technologies
Official Google Cloud partner, GCP certified engineers
Strong DevOps/CloudOps expertise and services
Full-stack cloud application development services