Give your data a broader perspective with big data solutions. Customize information for business teams. And start generating greater profits with them.
Let's talkDatové a analytické platformy big data jsou základem pro váš další růst.
Process not only structured but also unstructured and semi-structured data. Whether they take the form of logs, transactions, signal data, sensor data, texts, images, voices, or videos. On big data platforms, you can process all of them in any quantity and present them to end-users in the form of datamarts, feature stores, and visualization layers. As a result, you’ll start leveraging them effectively for business purposes.
Provide users with data in batches and in real-time, all in one place, so they can execute advanced analytics and AI projects at the highest level. If you’re expecting growth today, enable them to scale data and analytical solutions. And also address where to archive the data.
on-premise Big Data platforms built in Czech Republic
application and analytics projects over Big Data
Acquire and store data from various internal or external sources
Work with fast-generated data
Maintain a long-term history of the data used
Consolidate data storage into one world
Reduce the load on data warehouses
Accelerate prototyping and deployment of new business solutions
Provide your business users with a reliable big data platform. Have solutions designed and built for both structured and unstructured data, batch and streaming.
Dive into the pulse of innovation and AI trends from this premier event. Explore the key insights and takeaways that redefine possibilities.
Integrate AI in daily tasks, particularly repetitive, low-value activities.
GenAI cannot achieve quality without proper data quality. Start with that.
Apply GenAI in areas of your core strengths, e.g., avoid generating code if you’re not an expert.
Enhance flexibility for using cloud services.
Find support for the emergence of the open data formats, including Iceberg and Deltalake.
Easily manage multiple environments from a single location.
Create resilient modern data architecture and break down data silos.
Separate storage and compute layers will increase efficiency and reduce costs.
Incorporate metadata and data governance as key elements in creating value for a data democratization program.
Implement data-driven decision-making at all organizational levels, promoting accountability.
Create new roles to promote data democratization, such as data access governance managers.
ESG: go beyond reporting metrics and generate insights to evaluate societal impacts and quantify responsible corporate actions.
FinOps: establish disciplined approaches to managing cloud costs.
Shift your focus on role-based data access, avoiding excessive data proliferation.
Evangelization and workshops
Creation of a LAB
Using the LAB for specific tasks
Custom architecture design
New production platform
Platform for daily use
Add value to your data
Transfer data to data warehouses, on-premise platforms, cloud, and multi-cloud. Thanks to our Adoki tool.
We anonymize data sets, using our own anonymization framework for this purpose.
We develop solutions for business users – an application for enriching data from external sources.
We are developing a specific application for banks to label/categorize bank transactions.
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