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Big Data

Your future profits are based on data. We will take care of them perfectly and help you monetize them.

At Adastra, we know not only how to collect and store data, but also how to interconnect and analyse it to make it useful. We know how to handle data and use it for tasks you had previously only dreamed of.

Trusted by

T-Mobile
Home Credit a.s.
Vodafone
Erste
UniCredit Bank
Komerční banka
Hello Bank
ŠKODA AUTO

10 +

on-premise Big Data platforms built in the CR

70 +

application and analytical projects based on Big Data

Adastra designs and implements Big Data

Services for Big Data platforms

Modern applications work with huge amounts of data that come from many different data sources. We will help you design the architecture and connect the data silos, share data on secure Big Data platforms (on-premise, cloud, hybrid and multi-cloud), ensure smooth and secure data transfers between platforms (batch and real-time, there and back, one-time and recurring) at the most appropriate moment in terms of time and capacity. All this thanks to CI / CD, fully automated, including detailed monitoring. Focus on getting real value added data for your business. Leave the care of data and data transfers to us.

Corporate IT infrastructure design
 

  • tailor-made architecture based on current and planned technologies

  • privat cloud support and dockerization

Performance evaluation and improvement

  • based on the types of stored data, their flows and intensity
  • effective hardware design for specific use cases

Automation and

CI / CD pipelines

  • faster development life cycle
  • maintaining code consistency and security

Platform administration

  • efficient management of clusters and users 
  • ETL job management 
  • ensuring connectivity
  • pipeline deployment
  • monitoring
  • updates

Application development

for scalable data

processing

  • from data acquisition through data transformation and manipulation, storage and sharing on the data platform
  • powerful metadata-driven applications

Platform security tips

  • using robust protocols and security approaches
  • guaranteed and non-guaranteed zones
  • anonymization solution
  • GDPR compliance

Case studies

None

Banking - data in one place, we transfer 4 TB of data per day

At the bank, we have created a Big Data platform that provides business users with streamed and batch data from various banking applications. To keep the batch data on the platform up to date, we have developed an offloading tool, called Adoki, which ensures the replication of data from the data warehouse and other banking databases and systems.

We transmit 24/7, in both directions, optimizing the burden on banking systems

Adoki provides data transfers under the constant control of a monitoring system. We optimize transfers so that they put as little strain on source systems as possible and do not affect user comfort. Runs 24/7.

On a daily basis, Adoki transfers around 4 TB of data in both directions (to / from the Big Data platform). 

None

Internet provider - a Big Data platform with a capacity of 3 petabytes, built on a green field in 3 months

We built a Big Data platform for storing operational network data for a major Czech internet provider. The goal was to deliver a solution that is not tied to a specific hardware manufacturer or server type, and was also an excellent basis for follow-up activities and development. A complete reporting layer can be effectively built on the stored data and the information can be made available and visualized to end users.

3 PB of initial platform capacity, 300 compute threads, 2.5 TB RAM

In 3 months, we built and released the Big Data solution, which enables scaling of computing power and easy expansion of disk capacity according to future customer needs. The platform's initial storage capacity is close to 1 PB, it handles 300 compute threads and has 2.5 TB of RAM. Real data flows are in the tens of billions a day.

Read more here.

Get more info today, start implementing tomorrow.

Thank you

We will contact you as soon as possible.

Dagmar Bínová

Big Data & Data Science Team Lead

Tomáš Plánička

Big Data Solution Architect