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Data Warehouse Automation

Implementing CI/CD is crucial as it automates build, test, and deployment in Data Warehouse and Data Lake projects, ensuring continuous updates and data integrity. CI/CD accelerates change, improves quality, supports teamwork, and efficiently scales operations without increasing manual tasks.
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How to implement CI/CD in data lakehouse?

CI/CD enables automation and acceleration of the process involved in building, testing, and deploying code, where data is consistently updated and processed. Automated testing is an integral part of CI/CD processes, allowing for the rapid detection and correction of errors. CI/CD supports a collaborative culture, enabling developers, data analysts, and system administrators to work together more effectively. Continuous integration allows each team member to stay abreast of changes and respond more quickly to potential issues. Implementing CI/CD allows routine tasks to be automated, which is particularly important for big data systems.

Accelerated development and deployment

Use data warehouse automation to significantly reduce the time it takes to design, create and deploy a data warehouse, leading to faster time-to-insight.

Enhanced scalability

Handle growing volumes of data without compromising performance to support scalable provisioning and business growth.

Cost efficiency

Reduce total cost of ownership by minimizing manual work and reducing errors that can lead to costly rework. Customers who implement data warehouse automation can achieve significant savings of up to 50% reduction in operating costs.

Facilitating advanced analytics and BI

Support more efficient operations of advanced analytics, predictive modelling and AI-based analysis through automated data warehouse solutions that efficiently prepare and organize data.

We have implemented many data warehouse automation projects to improve our clients' data architectures. We have always chosen the right tools and prioritized data quality and management, resulting in accurate, consistent, and compliant data. Leveraging cloud capabilities and agile DataOps methodologies, we streamlined development, deployment, and management, promoting continuous integration and delivery. Through data observability, we gained real-time insight into operations, ensuring optimal efficiency and transparency for Business Users waiting for change.

Overview

Data warehouse automation is quickly replacing traditional approaches to data management and data integration. This approach uses a data warehouse automation tool to automate the planning, modeling, and integration steps of building and deploying data warehouses. In an age where business agility and time-to-market is essential, data warehouse automation software reduces the manual efforts needed to keep up with an ever-increasing amount of data sources. By using data warehouse automation tools, an organization can execute business intelligence projects within hours instead of months. Our Data Warehouse Automation Solutions are more cost-effective, accelerate development of the data warehousing process, and facilitate more efficient analytics and BI.

Experts in the field

Adam Marczak
Chief Azure Architect
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Konrad Madej
Principal Software Architect
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Piotr Drozd
Senior Director
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