Big Data Services

Transform your data with tailored big data solutions, unlocking insights to drive unprecedented profitability.

Broaden Your Business Horizons with Big Data

Organizations are collecting data at an unprecedented rate, and face challenges in managing large, complex datasets to effectively leverage valuable insights. Access your data’s full potential with Adastra’s expertise in building hybrid, cloud, and on-premises big data platforms. We specialize in designing and implementing robust infrastructure solutions that harness the power of data across diverse environments, enabling seamless integration, scalability, security and optimal performance for your organization’s data-driven initiatives.

Maximize Your Potential with Adastra’s Big
Data Mastery

Data Processing Flexibility

With us, you can process not only structured data but also unstructured and semi-structured data, which can appear in various forms including logs, transactions, signal data, sensor data, texts, images, voices, or videos.

Big Data Platforms

We ensure that on our big data platforms, all types of data can be processed in any quantity, allowing you to harness the full potential of your data assets. We present processed data to end-users through data marts, feature stores, and visualization layers, enabling effective utilization of data for business purposes.

Unified Data Accessibility

Experience unified access to data in both batch and real-time formats, consolidated in one central location. This enables you to seamlessly execute advanced analytics and AI projects, empowering your organization to derive valuable insights and drive innovation effectively.

Scalability

Adastra provides solutions that enable scalability of both data and analytical capabilities to accommodate your organization’s growth. Additionally, we address data archiving requirements to efficiently manage data over time, guaranteeing optimal performance and compliance with regulatory standards.

Breaking Down Data Silos: Streamline Data
Management and Accelerate Business
Solutions

Eliminate Data Silos

Focus on 3V of Big Data

Optimize Data Flows

Adastra’s Data Warehouse Delivery Process

Discover the essential steps in deploying a data warehouse, ensuring it meets your organization’s data management and analysis needs.

Corporate Data IT Infrastructure Design

We provide tailored architecture based on current and planned technologies, along with support for private clouds and dockerization.

Performance Optimization

We offer performance evaluation and improvement suggestions for data types, flows, and intensity. Additionally, we specialize in efficient hardware design for specific use cases.

Platform Administration

We provide effective cluster and user management, ETL job management, connectivity assurance, pipeline deployment, monitoring, and performance updates.

Automation and CI/CD Pipelines

Our big data solutions provide your organization with streamlined development life cycles, ensuring efficient progress from conception to deployment. We also provide support in maintaining code consistency and security measures to ensure reliable solutions.

Data Integration

We provide support to seamlessly integrate various data sources into a centralized platform and expertly manage these sources for optimal efficiency.

Scalable Data Processing

From data acquisition to transformation, manipulation, storage, and sharing on our platform, we ensure a seamless data journey. Our metadata-driven applications offer powerful insights and capabilities.

Platform Security

Harnessing the potential of big data, we employ robust protocols and security approaches to safeguard your data in both guaranteed and non-guaranteed zones. Our anonymization solutions also ensure GDPR (General Data Protection Regulation) compliance.

Embrace Big Data at Scale

Discover, how we implemented a big data platform for an internet service provider to manage extensive network traffic data, featuring 1PB storage, advanced analytics, and machine learning capabilities, along with 24/7 support for efficient data handling and reporting.

Is your organization building a new data platform? Learn how it can be done with Adastra in as little as 3 months.

Navigating Big Data: Our Comprehensive
Methodology for Success

Evangelization and Workshops

Adastra conducts workshops to educate stakeholders on the importance of big data analytics, engaging executives and frontline staff to ensure everyone understands the potential impact of leveraging big data.

Creation of a Lab

Following the evangelization phase, Adastra establishes a dedicated lab environment which serves as a controlled setting for the experimentation and exploration of big data concepts and technologies.

Using the Lab for Specific Tasks

Within the lab environment, Adastra addresses identified tasks or challenges from the evangelization phase and focuses on fostering collaboration for rapid solution development, accelerating big data innovation.

Custom Architecture Design

Adastra designs custom architecture based on lab insights and the organizations specific objectives. This architecture encompasses data ingestion, processing, storage, and analysis, ensuring scalability and security.

New Production Platform

With the custom architecture design in place, we develop and deploy a new production platform using cutting-edge technology and best practices identified during the lab experiments.

Platform for Daily Use

Once the new production platform is operational, we support your organization in transitioning to daily use, offering training for end users, governance and security measures, and ongoing support and maintenance.

Success Story

Building a New Big Data Platform Processing

Discover, how we implemented a big data platform for an internet service provider to manage extensive network traffic data, featuring 1PB storage, advanced analytics, and machine learning capabilities, along with 24/7 support for efficient data handling and reporting.

600K

records per second

3

months to build a versatile Big Data platform

1

petabyte storage capacity

Success Story

Building an on-premises Analytical Data Platform

Since 2017, Adastra has played a significant role in designing and developing a big data analytics platform for one of the top 5 Czech banks, which operates on-premises. Our deliverables include ongoing solution development and service support. From initial lab experiments to real-time production, Adastra continuously strategizes platform upgrades for enhanced efficiency.

Our collaboration with this project started during the design phase and involved hardware selection, capacity planning, and integration setup to data warehouses. Starting as a Cloudera “lab solution”, the platform evolved into a production platform for batch data uploads. For the production operation, we provided administration and documentation from inception and continue to offer L2 support.

Currently, we ensure long-term operations, including Cloudera distribution upgrades, hardware refreshers, and compliance with evolving bank standards. The platform supports dozens of applications and hundreds of advanced analytics tasks, serving as the foundation for various application solutions.

We Design and Implement
Specific Solutions to Add Value to Your Data

Data science

We implement projects utilizing advanced analytics and machine learning.

Adoki

This data replication tool transfers data to data warehouses, on-premise platforms, cloud, and multi-cloud.

Big Data FAQs

Data lineage provides a comprehensive understanding of data origin, pathways, and transformations, enabling informed decision-making. By visualizing data flows, stakeholders can assess data quality, reliability, and compliance, leading to confident and strategic decisions.
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