Big Data & AI Solutions
We push the boundaries of Big Data and Artificial Intelligence (AI) with comprehensive expertise and innovative solutions. Our commitment to developing Hadoop clusters, combined with our contributions to data protection through geo-redundant systems for GDPR-compliant storage of user consents, underscores our ability to meet the complex requirements of modern businesses.
Our Technological Expertise
Data Management and Processing
We utilize Hadoop ecosystem technologies such as HDFS for robust data storage, YARN for resource management, and tools like Spark and Impala for rapid data processing and analysis. This enables us to efficiently “compute where the data resides,” improving performance and reducing the need to move large data volumes across the network.
Real-Time Data Flow Control
With Kafka, we build powerful pipelines for real-time data processing that enable immediate analysis and response to data streams. This supports rapid decision-making and automation processes.
Security and Data Management
We employ Kerberos and OpenLDAP for authentication and access control to ensure that data is managed securely and in compliance with regulations. Our systems also standardly operate with data encryption at rest, providing additional protection.
Automation and Scalability
Using automation tools like Puppet and containerization with Docker, we enable rapid deployment and efficient scaling of our systems to meet growing demands.
Support for Machine Learning
The provisioning of JupyterHub environments supports data scientists with powerful computing capabilities, including access to graphics cards, which accelerates the development and training of complex ML models.
These categories reflect the breadth and depth of our technological capabilities and demonstrate how we develop innovative solutions for challenges in the Big Data and AI landscape.
Innovation through AI and Machine Learning
In our approach to innovation in AI and machine learning, we offer Docker-based, scalable working environments that can be flexibly adapted to the needs of data scientists. These environments not only support efficient development and optimization of algorithms but also enable the integration of graphics cards to enhance computing power for particularly demanding data analyses and the training of machine learning models.
Elastic Search Cluster: A Story of Success
A standout project in our portfolio was the operation of the largest Elastic Search cluster in Europe at the time. This cluster was notable not only for its impressive size but also for its geo-redundant architecture, which ensured high fail-safety. Designed for a throughput of 2 TB per day, the system significantly exceeded expectations by processing up to 14 TB per day at peak times. This performance demonstrates the robustness, scalability, and efficiency of our Big Data solutions.
How We Work
Our approach is based on a deep commitment to sustainability and efficiency. We strive to design systems that are not only technologically advanced but also cost- and energy-efficient to minimize both the carbon footprint and operating costs. By considering on-premise, hybrid, and cloud solutions, we offer customized strategies precisely tailored to the needs of our clients. Our focus is always on finding the optimal solution—solutions that maximize efficiency and value without compromising performance.
Why Us?
We go beyond mere technology provision and value a partnership characterized by trust and transparency. We understand that every company faces unique challenges and are dedicated to developing customized solutions that are not only technically advanced but also sustainable and cost-efficient. Our comprehensive support from concept to system replacement, taking into account operating costs, energy consumption, and carbon footprint, makes us the ideal partner for companies wanting to act innovatively and responsibly in the digital age.