Data Engineering
Our Data Engineering services encompass the design and development of robust data architectures, as well as Big Data operations, migration, and advanced analytics. We create scalable data models that ensure high data quality and governance while enabling efficient processing and analysis of large datasets. Our comprehensive approach includes seamless data integration, modernization through migration to cutting-edge platforms, and the use of powerful big data tools to drive insightful analysis and support your business goals.
What can we do for your company
Data Driven Workshop
A workshop to help you understand the potential of your data, preparing you to develop your own data-driven approach to support your business goals and take better business decisions. The service is dedicated to businesses, analytics teams and IT teams responsible for building data warehouses.
Data architecture
Building comprehensive decision-making structures to support the achievement of your business objectives. Creating a data architecture, in particular: data organisation and data integration modelling, data processing methods and dataset building with an emphasis on coherence. This service is intended for organisations that already collect data and know what kinds of decisions they want them to support.
Predictive reporting based on data, AI & ML
Building solutions for specific business needs, using predictive methods to estimate risks at financial institutions or warehouse stock levels in the pharmaceutical sector, as well as to sell products that depend on geopolitical conditions.
Promotion and marketing campaigns
Building models to create dedicated promotions, advertising and marketing campaigns for companies that collect customer data (e.g. from contact forms and online calculators). Building dedicated tools and supporting data management in companies that are only now preparing to deploy data gathering solutions – forms, mobile apps, comparison engines.
Management cockpits (Power BI)
Preparing internal reports on the current activities of different departments, e.g. sales reports, margin reports, localisation reports to track current trends or situations. Performing advanced analytics to assess and enhance any business element in the organisation that may be of critical importance for its health and development.
Migrations from other systems
Helping in the migration of decision-making and reporting processes and data resources from databases, apps and platforms that cannot be further developed. Consulting services in the field of reporting process building and optimisation for current business needs.
Tools
Snowflake
Oracle
Apache Hadoop
Qlik
IBM DataStage
MS SQL Server
Apache Spark
Power BI
Informatica
Apache Kafka
Support in all 3 data management areas
- Data Consulting Building data-driven business strategies. Analyzing business needs and technology potential to create and deploy an action plan.
- Data Platform Comprehensive design, deployment, and maintenance of data collection and processing systems – for the purposes of analytics, reporting, or prediction.
- Data Governance Designing and auditing data life cycle. Developing a standard for data quality, coherence, and reliability, including data sources. Ensuring data integrity, security, and correct modeling.
Case Study
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Big Data Platform Development -
Data Platform Modernization -
Data Warehouse Implementation -
Real-time Data Processing System
Create a comprehensive Big Data platform integrated with various services for managing and analyzing large datasets. This platform supports scalable data storage, real-time processing, and advanced analytics.
Technologies
Apache Hadoop, Spark, Kafka, AWS Redshift
Key Benefits
- The platform allowed clients to efficiently handle vast amounts of data, improving overall data management and processing.
- The implementation of real-time processing technologies led to a 40% reduction in the time required to generate actionable insights, facilitating quicker data-driven decisions.
- With advanced analytics, clients gained deeper insights, enabling more informed and effective decision-making.
- The platform’s scalable data storage and processing capabilities ensured that clients could manage growing data volumes without compromising performance.
Migration of the data platform to a modern Big Data architecture using Apache Spark and Hadoop. This project involved transferring legacy data systems to a scalable and efficient big data platform, enabling advanced analytics and real-time data processing.
Technologies
Apache Spark, Hadoop.
Key Benefits
- Migration to Apache Spark and Hadoop cut data processing times by 50%, enabling faster insights and better decision-making.
- The scalable architecture allows seamless integration of new data sources, supporting future growth without performance loss.
- Real-time analytics enable proactive business strategies, boosting operational efficiency and competitiveness.
- The modern architecture offers advanced analytics for deeper insights and more informed decisions.
Implementation of a data warehouse solution using Snowflake to consolidate data from multiple sources. This project aimed to streamline data analytics and reporting processes by providing a single source of truth.
Technologies
Snowflake, SQL
Key Benefits
- Snowflake implementation reduced data silos and inconsistencies.
- Faster and more accurate analytics reduced reporting time by 30%.
- Reliable data enabled better-informed decisions.
- Efficient data management improved operational efficiency and competitiveness.
Create a real-time data processing system using Apache Kafka and Apache Flink. This project was designed to handle real-time data streams for better decision-making and operational efficiency.
Technologies
Apache Kafka, Apache Flink.
Key Benefits
- Real-time data streams enhanced decision-making.
- Apache Kafka and Flink improved operational efficiency and response times.
- Real-time processing improved agility and responsiveness.
- Faster service and responsiveness boosted customer satisfaction and competitiveness.
What do you get by working with us?
- Security and protection Compliance with top data protection standards – including in the regulated sectors – as guaranteed by the ISO 27001 certificate.
- Tools and technologies A choice of tools and architecture matched to your specific IT environment. Tools built based on tried-and-tested technologies – Oracle, Microsoft, OpenSource.
- Skills and teams A wide range of skills: from Data Warehouses and Data Lakes, through analytics tools – Azure Databicks or Spark – all the way to presentation services, e.g. Power BI.
