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.
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.
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.
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:
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.
Machine Learning
Optimize strategy, ensure compliance, and enhance customer experience
Artificial Intelligence
Spot market trends, prevent fraud, and evaluate risks seamlessly
Cloud Solutions
Build scalable, cost-efficient, and globally accessible solutions
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.
Cost efficiency
Optimize resource utilization to avoid unnecessary expenses in data processing and storage.
Product development
Gain a deeper understanding of user preferences, behaviors, and requirements.
Faster time-to-insights
Generate insights to quickly respond and adapt to changing business needs and market trends.
Data-driven decisions
Access dependable, timely, and actionable data to bolster your decision-making processes. Opt for more informed choices that fuel growth and innovation.
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:
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.
Wunderman Thompson
Brief Media
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