Data engineering

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Our expertise

At Numble, we specialize in building robust data engineering solutions that form the backbone of your data-driven initiatives. Our comprehensive approach ensures that your data is well-structured, reliable, and ready for advanced analytics and AI application

Data Pipeline Development

Efficient data pipelines are essential for seamless data flow from various sources to your analytics and AI models. At Numble, we design and develop robust data pipelines that automate data collection, processing, and movement. Our solutions ensure that your data is continuously updated and readily available, enabling real-time insights and decision-making.

Data

Data Integration

Integrating data from multiple sources is critical for creating a unified dataset that offers comprehensive insights. We specialize in advanced data integration techniques, merging data from diverse sources such as databases, APIs, and cloud services. This integration provides a holistic view of your data, enhancing the accuracy and effectiveness of your analytics and AI models.

Data Preparation

Data Warehousing with Microsoft Fabric or Databricks

Effective data storage and management are crucial for supporting large-scale data analysis. We leverage state-of-the-art data warehousing solutions like Microsoft Fabric and Databricks to create scalable and efficient data warehouses. These platforms enable you to store vast amounts of data securely and access it quickly, facilitating advanced analytics and AI training.

Microsoft

ETL and ELT Processes

ETL (Extract, Transform, Load) is ideal for complex transformations on smaller datasets, with strong data security. Our ETL solutions extract, transform, and load data into your warehouse, ensuring it’s ready for analysis and better decision-making. For modern big data needs, ELT (Extract, Load, Transform) is more flexible, handling both structured and unstructured data in data lakes or lakehouses. ELT first loads data, then transforms it, making it perfect for large-scale environments. At Volvo and Unilever, we use ELT to extract, load, and transform data for deeper insights.

Raw Data

Data Quality Management

Maintaining high data quality is essential for reliable analytics and AI applications. We implement rigorous data quality management practices to ensure that your data is accurate, consistent, and complete. By continuously monitoring and validating your data, we help you avoid errors and make informed decisions based on trustworthy information.

Performance

Data Security and Compliance

Protecting your data is our top priority. We implement comprehensive data security measures to safeguard your data against unauthorized access and breaches. Additionally, we ensure that your data practices comply with relevant regulations such as GDPR and CCPA. Our approach to data security and compliance ensures that your data is protected and that you can confidently leverage it for your business needs.

Data Security
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Why choose Numble?

At Numble, our goal is to provide you with robust data engineering solutions that unlock the full potential of your data. From building efficient data pipelines to ensuring data security and compliance, we offer end-to-end services that support your data-driven initiatives and drive business growth.

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Get in touch

Book a virtual meeting directly with our co-founder Nicola Nauwynck and get your personalised technical insights immediately.

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Send us a mail with information about your project and we will get back to you on how we can assist.