Robust and secure
We implement robust and automated data pipelines that run seamlessly to ensure you have the most important data readily available. Mantel Group is a technology and platform agnostic organisation and we partner with the best providers in the data landscape. This ensures we use the right tools to solve the right problems. Our deep expertise in data platforms enables us to help organisations of all shapes and sizes improve their data maturity.
Data ingestion is the first step towards enabling your organisation to be more data-driven. It focuses on combining data from separate sources into one single view. We design and implement automated data pipelines that can handle high volumes of real-time data. A stable, robust and secure data ingestion pipeline is the foundation to unlocking actionable insights.
We can help you with various different data ingestion and integration techniques:
- Batch data ingestion
- Streaming data ingestion
- Hybrid data ingestion
- Batch data integration
- Real-time integration
- ETL and ELT pipelines
In order to begin driving insights from your data, it needs to be stored somewhere. We have deep expertise designing and implementing data storage systems that are reliable, available and scale with your business and data needs. Choosing the right data storage is often fundamental to the performance of your data insights. It’s often easy to start small, but important to think big to ensure you’re set up for success into the future. Our experts can help you with various storage options.
Separate storage and processing layers, that can store structured, semi-structured and raw data
Structured data storage for housing multiple disparate sources of data
Data lake house
Combines the best of data lake and data warehouse by supporting structured, semi-structured and unstructured data
Automated data transformation processes in the data pipeline will make data easier to work with – for humans and computers. Transforming data to a consistent format can improve the overall data quality and make data analysis more efficient. Your data-driven insights are only as good as the data that you use in your analysis. Our data analysts and engineers can introduce modern tooling to your data pipeline that can perform various tasks.
Translation and mapping
Merging and de-normalizing data from different sources
Filtering and aggregation
Consolidating, filtering out or summarising data
Anonymization and encryption
Anonymizing or encrypting private and identifiable information
Data modelling and formatting
Changing the format of data without changing its content
Focusing on your business needs
With so many options and solutions available, choosing the right mix of tooling to support you on your modern cloud data platform journey can easily get overwhelming. We can guide you through the process and help you choose the right option based on your organisation’s goals and data needs.
Starting a data platform project can be daunting and can feel like a massive undertaking. It doesn’t necessarily have to be that way. You can start small with a small-scale project to prove value and encourage adoption. However, even with starting small it’s important to think big so you choose the right platform that can support you and your organisation as its data needs grow.