Big Data Application Development Services

We offer effective solutions for data-driven decision making and increased performance. Leverage our Big Data expertise to turn raw data into structured collections, automate data ingestion, and gain real-time insights.

What Results Can You Expect with Our Big Data Expertise?

Structured and organized data collections for easy access and analysis

Automated data ingestion and analysis processes, reducing manual effort and costs

Ensured data security and compliance with industry regulations

Delivery of specific Big Data expertise and cutting-edge solutions through outsourcing

How Big Data Will Help You

Our big data development & analytics services allow us to surface critical technology business information from numerous data sources and harmonize it for further analysis. Techstack develops scalable software solutions tailored to your specific needs, transforming data into real-time actionable insights.

Monetize data

Unlocking the power of data can be an advantage for tech businesses looking to maximize their profits. You can reduce overhead costs and increase business transparency and overall performance.

Personalize experiences

Our cutting-edge technology expertise unifies the latest in Big Data processing, natural language processing (NLP), computer vision (CV), and deep learning techniques to offer tailored services with personalization and targeted recommendations.

Improve efficiency

Our wide range of big data development services spanning multiple industries can help tech businesses boost their performance with a serverless and cost-effective data warehouse. Focus on programming instead of managing server clusters.

Evaluate opportunities

Utilize data models and prescriptive analytics to focus on the most profitable activities while driving improved returns on investment and reducing risks.

Big Data Software Development With Techstack

Big data is an invaluable asset for businesses—its complexity and sheer volume demands advanced business intelligence to process it properly. Known as the 'Four V's', Volume, Variety, Velocity, and Variability are at the core of this unique tool that can unlock insights previously unseen by traditional methods.

Data infrastructure and engineering

We craft solutions that turn raw data into structured collections while constructing reliable Big Data frameworks to make analytics more manageable and fully automate data ingestion, transformation, and training processes.

Real-time data analytics

Quickly make streaming data available for interactive analysis with powerful insights delivered in a fraction of a second and scaling to handle even the largest datasets.

Predictive analytics

Our data scientists are highly skilled in Artificial Intelligence and Machine Learning, sophisticated algorithms, and other powerful tools that empower our abilities to create intelligent, high-quality solutions for your business.

Task Automation

Our Data Science team is committed to harnessing the full potential of big data technologies. This empowers businesses to achieve a high level of automation, reducing costs, enhancing performance, and unlocking positive outcomes. It revolutionizes their data-driven decision-making processes.

Data visualization

Our interactive dashboards and reports make the results of Big Data analytics accessible to partners. Through vibrant visuals, we can give a comprehensive understanding of complex data in an intuitive format.

Analytics integration

With our data analytics services, you can leverage cutting-edge technology to detect and anticipate emerging trends. Achieve comprehensive and secure analysis of vast amounts of data through our managed multi-cloud solution.

Consulting Services

Expand your insights with our Big Data engineers. Our experienced development team in Big Data consulting will help you create a plan of action to ensure optimal use of data analysis while making sure it yields accurate forecasts and results.

Big Data Solutions Technology Stack

Computer vision

OpenCV
NumPy

Deep Learning and Machine Learning

Tensorflow 2
TFLite
Keras
Scikit-Learn
Pytorch

Data Ingestion and Manipulation

DataFlow
DataFusion
Dataproc

Application

Python
TypeScript
Flask
C#
NodeJs
.Net

Data storage and manipulation

Cloud Storage
DataLake
BigQuery
Snowflake
Pandas

DevOps

Docker
Kubeflow

QA

Pytest

Data Visualization

Power BI
Oracle Visual Analyzer
Periscope Data
Sisense
Tableau Desktop
Plotly

CI/CD and MLOps

Circle CI
Git
Github
Google Cloud Platform
Container registry
Azure
GCP Vertex AI
AWS

Cloud

AWS
Google Cloud Platform
Azure

Case Study by Techstack

AI-Powered Video Quality Control System for Shingle Manufacturing

Utilizes AI and Machine Learning for real-time shingle defect detection

Incorporates advanced Image Interpretation software for accurate analysis

Deploys edge devices for on-site image capture and immediate processing

Check out how we build it

Industry-specific Big Data Solutions

We, as a big data analytics solution provider, can offer secure, efficient, and scalable big data storage solutions tailored to meet your specific business needs. Our team of experts has extensive experience in creating custom big data analytics solutions that leverage advanced tools and techniques, enabling you to derive valuable insights across various domains.

Transportation and Logistics

We are committed to providing high-quality Big Data solutions that help organizations optimize their supply chain by tracking inventory levels, predicting demand, and optimizing logistics. This can lead to cost reduction and improved delivery times, and it ensures superior service delivery.

Healthcare

Through the analysis of vast data, our software solutions facilitate optimized resource allocation, streamlined workflows, and cost-effective healthcare data management. Solutions can also help improve patient outcomes by identifying patterns and predicting potential health risks.

Digital Transformation

Custom Big Data solutions can help organizations improve their customer experience by implementing analytics systems, seamlessly analyzing customer data, and providing personalized recommendations. This can help increase customer retention and loyalty.

Fintech

Techstack can offer Big Data solutions with real-time analysis of large transactional data volumes, businesses can detect fraud, manage risk, and protect against cyberattacks. Additionally, our solutions can enable efficient management of users, tenants, and data areas, resulting in an enhanced user experience.

Manufacturing

Our Big Data solutions enable organizations to achieve efficiency, cost-effectiveness, and sustainability. By utilizing sensor data, our customized solutions can drive process adjustments for issue mitigation. Also, we can develop a single data storage solution for energy production, and prioritize data normalization for compatibility and effective analysis.

E-Commerce

Our industry-specific Big Data solutions encompass a wide range of offerings, such as the implementation of data lakes. With our expertise, organizations can effectively track customer behavior, optimize operations, make data-driven decisions, and enhance customer satisfaction in a competitive landscape.

Why Choose Techstack’s Big Data Software Development Services?

Product ownership

The core of every solution we build is product health and value. We foster a unique tech-savvy culture, employ a product-oriented approach, and maintain a strong commitment to achieving business goals through big data implementation.

Domain proficiency

We take an analytical approach to recognize patterns, trends and data behavior and learn why certain features are needed and which platforms should be supported.

Tech community

We gather multifaceted technology experts under one roof. Together, we can achieve more than the sum of our efforts—that’s why each of us works hard to add our best to the product.

“

Techstack was able to keep our uptime and our customers happy, and we were able to make sure that our product was always functioning and working for our customers. Actually, the longer Techstack worked with us, the better they got over time.

Clutch Review

Mark Beare

Former VP Research & Development, Corel Corporation

Our Experts

CTO, Software Architect, Elaborates on the technology strategy

Oleksii Svystun

R&D Engineer, Software Engineering Lead,
Will advise the best custom solution

Yevhenii Karachevtsev

Data Scientist,
Analyzes data for actionable insights

Oleksandr Bezrukov

VP of Engineering, Leads the Tech Experts program and team

Ivan Yeremenko

Request a Free No-obligation Quote

What comes next?

Once we've received your request, one of our experts will reach out to you;

If necessary, we'll sign an NDA to safeguard your privacy;

We’ll prepare a custom proposal with a project summary (estimation, feature breakdown, tech stack, and supported platforms), a clear timeline, and team composition with CVs.

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FAQ

What is the typical team composition of a Big Data-focused product?

A Big Data-focused product requires a multidisciplinary and highly specialized team. Generally, this team is made up of software engineers, data scientists, business analysts, a project manager, and a product architect.

How long does it take to build a software product with Techstack?

Take advantage of our expertise as a big data services provider with a complimentary quote. Our professionals will assess your development backlog and provide you with an accurate estimate, ensuring a seamless product development process.

How long does it take to hire a product starter engineer?

When bringing on new team members, there are many factors to consider. How long the hiring process takes depends mainly on product details, industry standards, and job-level seniority; typically, we get hires up and running within one to three months from the initial consultation with partners.

What is the difference between descriptive, predictive, and prescriptive analytics?

Descriptive analytics involves analyzing past data to gain insight into what has happened. Predictive analytics uses statistical testing and machine learning techniques to predict future trends based on past data. Prescriptive analytics goes beyond prediction and uses the data to suggest possible courses of action. This way, prescriptive analytics offers decision-makers an invaluable tool for making more informed choices.