end-to-end data engineering
Our end-to-end data engineering platform is the smart combination of a data lake and a data hub. It ingests data from most data sources, stores it in a data lake, and makes the data available to data consumers in a standardized and fully managed way. It gives people and applications smooth, direct, and real-time access to all the streamlined data. The platform provides a user-friendly interface while integrating with metadata management, security, and data quality tools.
Reduce implementation and integration costs, save time, and lower your risks thanks to our fully packaged platform. It implements the state-of-the-art data architecture. Deploy it, and start building your data pipelines from day 1.
Thanks to the native UI, you don’t need advanced data engineering skills or techno know-how. Save time, reduce the errors, and improve your efficiency by building your data pipelines with a visual composer directly in the end-to-end data engineering platform. The ease of use of the platform lowers the training period and eases skills transfer.
Benefit from data and insights shared in real time across the company and make sure that everyone is always looking at the same data. Become data-centric and improve your business decisions.
This end-to-end data platform focuses on the complexity of a fast data integration in the most secured environment possible thanks to:
- our state-of-the-art architecture and technology integration, (production-ready data pipeline in a few minutes and deploy it in 1 click).
- a multi-structure formats: access to our data lake to store the necessary data, whatever their nature or format, structured or unstructured.
- integrate and store data in the cloud or on-premises.
- explore both raw and historical data.
Our end-to-end engineering platform fully automates the creation of your data pipelines, from data collection to transformation and distribution. Our metadata-driven configuration allows you to:
- create data pipelines from the platform’s UI or API, without needing any line of code.
- handle your data management trough agile technologies and project management.
- automate promotion of data pipelines from one environment to another.
- move data pipelines from development to acceptance and production in a controlled and efficient way.
To orchestrate our end-to-end data engineering platform :
- uses state-of-the-art architecture and technology to manage all data flows in a smart and robust way.
- automates CI/CD Testing.
- follows the DevOps & DataOps Best practices.
- makes sure that data is collected only once from each data source, and then distributed to many applications seamlessly.
- runs a distributed architecture, with built-in scalability and handling of hardware failures. It guarantees high performance, with low latency and high availability.
The end-to-end engineering platform is meant to help your organisation become data-centric and let business value be a part of your data processes.:
- facilitate the sharing of data between data engineers and data consumers (make developers and data scientists more efficient).
- provide a standard way to share cleaned data as well as insights in real time, to make sure data consumers are looking at the latest information when it is needed.
- search, find, and use the right data easily to enrich your value proposition and create added value.
What happens if 1/4: You underestimate the complexity of the underlying technology of a modern data platform
Discover the challenges and consequences of the companies that are underestimating the complexity of a modern data platform.
Digazu’s Low-code platforms will help you address all your data and data processes challenges in a sustainable and future-proof way. Easy-to-use and highly intuitive, Digazu combines the power of automated data engineering, a data lake and a smart data-science platform.