Unlock the value of your big data to reach your ultimate business goals faster.
Data Management applies collection, validation, storing, and accessibility of data to fuel AI solutions, data analytics systems, and business intelligence software. The efficiency and accuracy of each of those platforms vastly depend on the quality of data, ensured by reliable data engineering solutions and scalable data management processes. Well-tuned, effective, and secure big data management systems are the backbone and reason of success for outstanding data-driven companies: from disruptive startups to the leading Fortune 500 companies.
Nowadays, when businesses constantly gather vast amounts of data, it needs to be analyzed and transformed to gain actionable insights—otherwise, it’s a waste of valuable information. Big data management services can help efficiently process and validate data, eliminate duplicates and incompatible versions, structuring information by creating a rock-solid foundation for future analysis and fueling BI and AI solutions to make intelligent, data-driven decisions.
Cutting-edge data management solutions enable processing of enormous amounts of data, including audio, video, and other types of unstructured information in a matter of seconds. Huge volumes and unsupported data types aren’t the barriers any more. Board members and key decision-makers can access the information immediately rather than waiting another month for a dedicated manager or legacy systems to craft a report.
Conventional data management approaches result in numerous data storages of inconsistent information that require significant time and effort to make use of it. Applying data engineering services and technologies leads to coherent big data management throughout the organisation, empowering consumers to meet their information needs better, quicker or even autonomously.
Data security is crucial for every business—unencrypted, fragmented, and uncontrolled access levels can lead to data breaches and reputational and financial risks. Comprehensive data management services can help incorporate robust data security that ensures vital company information is backed up, encrypted and stored in centralized and secure data storage. This allows conducting regular security audits and preventing unauthorized access and data leaks.
Building data pipelines that consolidate information from multiple sources, and processing the data according to extract, transform, load (ETL) or extract, load, transform (ELT) methodologies. Big data management solutions empower businesses with a single source of trusted information, automated data reporting, and instant data-driven decisions.
Building, configuring, or upgrading cloud-based data lakes and data warehouse solutions to store, manage and analyze information more efficiently. Data management storages can help address any data-related concern—from building a centralized data warehouse to reinforcing your existing system to have a high throughput and be more scalable, resilient, and secure.
Configuring and implementing an off-the-shelf cloud solution from leading vendors such as Google, AWS, Azure, IBM to enable rapid deployment of holistic data engineering tools with minimal risk and implementation effort. Cloud-based data management platforms have the lowest entry barriers of cost, complexity, time-to-value, and they eliminate the risks inherent to the on-premises data warehouse.
Migrating data systems from an on-premise server to the cloud, from one enterprise system to another, and from various platforms, and analytic tools to optimize data storage and processing efficiency. Data migration solutions can transform every source into an enriched, relational data structure that allows your business to navigate big data better and make well-grounded decisions quicker.
Comprising a robust data catalog and ingesting descriptive information from various sources, presenting it as a consistent, reliable source. Master data management services can help eliminate duplicity, inconsistency, and make data much easier to find and process, increasing the information’s value and re-distributing the data to different systems.
By bringing our in-depth data engineering competence we take care of all aspects of the data processing lifecycle—from the requirements stage all the way to launch and maintenance to a market-ready big data management solution.
We assemble a turn-key team that seamlessly increases your in-house capabilities, accelerates development, and decreases time-to-value of data management solutions.
Our data engineering experts can validate the state of your big data management practice, refine existing data strategies, and define a roadmap to optimize information processing, increase efficiency, and establish a sustainable foundation for intelligent data handling and analytics.
We bring profound knowledge, technical know-how of our data management consultants to help you identify the most suitable approach, tools, and technologies tailored for your specific business needs.
We are proud to partner with leading global organizations who provide cloud infrastructure for big data management. This motivates us to excel and offer our clients better data engineering services.
Identifying your key goals and dive deep into business processes, data workflow, deliverables to draft the best solution, and outline the scope of work.
Examining available and required data formats, auditing data sources, gathering structured and unstructured data from multiple sources to address identified goals, design APIs for data exchange and secure its processing.
Cleaning, transforming, and evaluating data quality to remove inaccurate records for further analysis. Composing the data management system architecture with best-fitted technology solutions.
Building data storage based on the amount, types of data, and business goals and needs. Our data engineers make sure that your storage is secure and easily accessible only for authorized systems and users.
Developing and smoothly implementing a data management solution into your business environment, assuring its performance and accuracy threshold on the real data.
Establishing regular assessment of the data system’s performance, precision, throughput, and efficiency. Making adjustments if necessary.
We really care about project success. At the end of the day, happy clients watching how their application is making the end user’s experience and life better are the things that matter.
vSentry is a AI-powered web application that utilizes machine learning and deep learning algorithms to detect and prevent vehicle cyber attacks and enable real-time monitoring.
SaaS business intelligence platform for efficient data management and healthcare insights through advanced reporting tools and visualization functionality for healthcare organizations.
More than half of our clients recommend NIX to colleagues and friends.
Another half chose NIX by a recommendation. This is why client feedback and satisfaction are our #1 priorities.
Account Manager at TransGrade, CRM
“Extremely detailed, professional, attentive”
COO at SafeRide Technologies Ltd
“The team is experienced and professional”
VP R&D at HumanEyes
“You have done the work perfectly”
SVP of Engineering at Cengage
“Delivering high-quality code”
Project Manager at Information Products AG
“Quality of delivered work is outstanding”
Eugene is a data engineering solutions expert and big data management consultant with more than 10 years of experience in business consulting for top-tier international technology companies.
Max is our senior practice leader and evangelist for the “big triad” of machine learning, data analytics and data engineering, with a vast background in AI, BI services, and product management.
Our representative gets in touch with you within 24 hours.
We delve into your business needs and our expert team drafts the optimal solution for your project.
You receive a proposal with estimated effort, project timeline and recommended team structure.
ETL process in a data warehouse transforms data in one consistent system offering deep historical context for business and enabling critical, data-driven decision-making.
ETL developers play a key role in business helping create processes and tools to move data from different systems so that it can be analyzed by the business.
Big Data in Education can significantly enhance teaching and learning, emerging in a more progressive experience for disciples and their teachers.