Elevate Your Business with our Cutting-Edge Data Pipelines Allow High-End Technology to Help You Make Better-Informed Decisions
One of the biggest challenges of many industries is Big Data
STX Next offers a comprehensive suite of Data Engineering solutions. Seamlessly integrate diverse data sources to drive better decisions, enhance customer experiences, and increase efficiency.
Effortless Data Integration
Real-Time Data Processing
Transform Raw Data into Insights
Machine Learning Simplified
Empower Your Services with AI
STX Next solutions for Big Data
If you’re ready to bring your data to the next level, we’re here for you. Thanks to our experience in various markets, we offer a wide portfolio of advanced Machine Learning and AI-based data tools and solutions that will help you empower your business and accelerate growth.
What do STX Next Data Pipelines mean in practice?
We build solutions that are perfectly tailored to your data needs and requirements. We’re flexible and agile – no problems with changing expectations!
We design our data pipelines to scale alongside your business's growth.
Security and compliance
Wee provide unwavering data integrity and security, ensuring peace of mind for both you and your customers.
Every customer holds VIP status in our eyes. Our team of seasoned data engineers is dedicated to supporting you at every stage of our partnership.
Why Data Engineering?
of all data workflows will be managed by the Cloud by 2024 – according to Gartner, ¾ of organizations monitoring IaaS/PaaS environments will consume metrics via the cloud provider’s API.
data literacy will become the most in-demand skill, strongly associated with and driven by artificial intelligence.
financial data breaches occurred from January 2018 to June 2022, highlighting the ongoing significance of data security as a major concern.
exabytes of data generated globally every day is the projected amount by 2025. This influx of data will come in a variety of formats, structures and volumes.
Data can often be challenging
The buzz surrounding data has been persistent for some time, showing no signs of abating. Many companies in high-demand sectors like FinTech, Automotive, EdTech, AdTech, and MedTech grapple with data-related challenges that hinder their growth prospects.
We're aware of this issue and can help you with:
Understanding big data
Data growth issues
Integrating data from a spread of sources
Properly securing data
Collecting real-time data insights for better decision-making
With our years of experience, we assure customized solutions designed to meet your unique requirements across industries. Elevate your decision-making and pave the way for success today.
Learn more about technologies of tomorrow
Optimize strategy, ensure compliance, and enhance customer experience
Data Engineering is a set of complex operations to make data available and usable to data scientists, Business Intelligence developers, and other groups within an organization. Data Engineering is the foundation that enables other teams to perform valuable raw data analyses, create predictive models, and show trends.
Key benefits of Data Engineering
Optimize resource utilization to avoid unnecessary expenses in data processing and storage.
Gain a deeper understanding of user preferences, behaviors, and requirements.
Generate insights to quickly respond and adapt to changing business needs and market trends.
Access dependable, timely, and actionable data to bolster your decision-making processes. Opt for more informed choices that fuel growth and innovation.
Data Engineering process
The entire process covers a sequence of tasks that turn a massive amount of data into a practical product that meets the needs of analysts, Machine Learning engineers, and data scientists. The Data Engineering flow consists of three stages:
Data ingestion. Moving data from various sources to a target system to be further transformed.
Data transformation. Adjusting disparate data to the needs of end users, including removing errors and duplications.
Data serving. Delivering transformed data to end users.
The mechanism that automates the stages above is known as a data pipeline. A data pipeline is a combination of tools and processes that move data from one system to another for further handling and storage. At STX Next, we use data pipelines for data:
Having developed many data engineering solutions in various sectors, our expertise goes beyond technical skills. Discover a number of real-world examples highlighting the seamless implementation of our data engineering services.
Transforming Digital Experiences: Learn more about our partnership with Wunderman Thompson, where we revolutionized their digital experience by building a state-of-the-art AI tool to check the quality and consistency of 100,000 brand assets.
The most important and best thing that I've experienced is communication styles. The communication has been flawless. Przemysław (Product Owner) has been amazing to work with, answering my questions. I've been able to work with several of the developers as well whenever I have challenges that I come across. And everybody has been willing to help and to try to help me solve the issue that I'm experiencing
Customer Success & Project Manager, Brief Media
Our customers love to work with us
Ready to boost your business and finally make the most out of data?
We’re here to help you jump into the data-driven future and maximize your business potential. Get in touch with our expert today!