Big Data Services

Make your data a powerful asset for your business. From data lake architecture to predictive modeling, our big data development services help you tap into the full potential of your information.

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  • Top 1% of global
    Software Service providers

  • ISO 27001 certification
    by Bureau Veritas

  • GDPR-Compliant processes
    for responsible data protection

  • AWS trusted infrastructure
    for scalable solutions

  • Bureau Veritas —
    an independent global leader in testing, inspection, and certification.

What is the value of investment in big data?

Big data gives companies deeper insight into customer behavior, operational efficiency, and market trends. Privacy concerns and talent shortages are common objections, but when aligned with business goals, the long-term ROI typically outweighs the initial investment.

  • New Knowledge

    Combining data from many sources reveals patterns and correlations that were invisible before, opening the door to new products and smarter strategies.

  • Improved Customer Understanding

    A complete view of customer behavior and preferences helps you personalize experiences, improve retention, and anticipate what customers need next.

  • Operational Efficiency

    Real-time insight into processes, supply chains, and resources helps you remove bottlenecks, cut waste, and make faster, better-informed decisions.

  • Market Leadership

    Spotting trends earlier than competitors lets you respond to market changes quickly and turn data into a lasting competitive advantage.

Our Big Data Consulting Services

We offer strategic consulting and engineering services that turn your data into a competitive advantage.

  • Strategy and Advisory Services

    Roadmaps aligned with your business goals, technology recommendations, and data governance frameworks, focused on measurable ROI from your big data use cases.

  • Infrastructure and Platform Services

    Scalable cloud data platforms on AWS, Azure, or GCP, custom data lakes, modernized warehouses, and real-time or edge processing that adapts to your needs.

  • Big Data Engineering Services

    ETL/ELT pipelines, data ingestion architectures, and real-time streaming, plus integration and data quality management that keep information accurate.

  • Big Data Analytics Services

    Business intelligence, self-service analytics, predictive models, and real-time monitoring, with intuitive dashboards that enable quick, confident decisions.

  • Advanced Analytics and AI

    Machine learning and deep learning models, natural language processing for unstructured text, computer vision, and recommendation engines that improve customer experiences.

  • Custom Workshops

    Training that builds technical skills and data literacy across your organization, with change management and data democratization for smooth adoption.

  • Get expert advice on your big data strategy:

Cooperation Models

We supplement your team’s skills with flexible collaboration throughout the project. Beyond big data, our expertise covers RPA, MLOps, and LLM development.

  • Dedicated Development Teams

    Direct communication and control

    Extend your big data capabilities with skilled data engineers, analysts, and data scientists who ensure top-tier execution and rapid innovation in your data initiatives.

  • Project-Based Engagements

    Full ownership of delivery

    From data lake implementations to advanced analytics solutions, we tackle your big data challenges and deliver within defined timelines and budgets.

  • Custom Tech Training

    Targeted upskilling

    Hands-on workshops and courses that strengthen your team’s expertise in data processing, analysis, and management, built around your current initiatives.

From a single data platform to a long-term data team, we adapt our cooperation to your goals.

Tools and Technologies

Big data tools handle the immense volume, velocity, and variety of data, spanning distributed storage, real-time processing, advanced analytics, and ML (see our data management services).

  • Data Warehousing

    • Snowflake
    • Amazon Redshift
    • Google BigQuery
    • Azure Synapse Analytics

  • Data Lakes

    • Apache Iceberg
    • Delta Lake
    • Apache Hudi

  • Streaming and Processing

    • Apache Kafka
    • Apache Spark
    • Apache Flink

  • Data Transformation and ML

    • Python
    • R
    • TensorFlow
    • PyTorch

Big Data Services vs. Data Analytics Services

Big data and data analytics serve different but related purposes. Big data is about how you handle massive data: the infrastructure and management. Data analytics is about what you get from it: meaningful insights and patterns.

  • Big Data

    • Data types: structured, semi-structured, and unstructured data from various sources
    • Purpose: collects, stores, and processes large volumes of data for future analysis
    • Typical use: finance, healthcare, retail, telecommunications, social media, IoT

  • Data Analytics

    • Data types: various types, but often structured or prepared data
    • Purpose: extracts valuable information and supports informed decision-making
    • Typical use: business intelligence, marketing, risk management, research, all business sectors

Meet Your Team of Big Data Experts

Want to see who’s behind the magic? Here are some of our talented data experts.

  • $55/h

    Senior Data Analyst

    Olha B., 8+ years of experience
    A highly experienced Senior Data Analyst with a track record of driving strategic business outcomes through advanced data analysis and modeling. Possesses deep expertise in statistical inference, predictive modeling, and data storytelling, effectively communicating complex findings to both technical and non-technical audiences.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Cloud Platforms: AWS, Azure, GCP
    • Data governance
    • Data warehousing
    • NumPy
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $32/h

    Junior Data Analyst

    Artem K., 2+ years of experience
    A motivated and detail-oriented Junior Data Analyst. Eager to apply his strong analytical foundation to real-world business challenges. Has a solid understanding of statistical concepts and data manipulation techniques. Skilled in data cleaning, preparation, and basic analysis. Proficient in data visualization tools and is committed to learning and growing within the field.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $43/h

    Data Analyst & BI Specialist (mid‑level)

    Minh Khoa N., 5 years of experience
    Data‑driven professional translating raw numbers into business‑ready insights. Skilled in SQL, Python, and modern BI tooling, Khoa builds automated dashboards and predictive models that cut reporting time and boost revenue.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • BI tools (Power BI, Tableau, Looker Studio)
    • CI/CD
    • Data quality
    • Jupyter
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $60/h

    Data Science Automation Engineer

    Olena S., 8+ years of experience
    Olena excels in automating data pipelines and integrating ML solutions into existing systems. Her expertise ensures scalable, secure data management and continuous improvement in predictive analytics, empowering your business with reliable insights.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $58/h

    Mid-Level Data Scientist

    Nazar B., 5+ years of experience
    Proficient in statistical and ML techniques to solve business problems. Experience in collecting, cleaning, and analyzing large datasets, building predictive models, and communicating findings to stakeholders. Adept at working with various data sources and utilizing data visualization tools.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Data processing (PySpark)
    • Jupyter
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $85/h

    Senior Data Scientist

    Magdalena R., 10+ years of experience
    A highly experienced data scientist with a proven track record of leading complex data science projects from inception to deployment. Expertise in developing and implementing advanced ML models, conducting statistical analysis, and providing actionable insights to drive business decisions.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Cloud Platforms: AWS, Azure, GCP
    • Keras / TensorFlow / PyTorch
    • Processing: Hadoop, Spark, PySpark
    • Python
    • R
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $65/h

    Senior Data Science Consultant

    Dimitar I., 10+ years of experience
    Dimitar leads data strategies along with predictive model development. His work spans multiple industries, delivering tailored solutions. He is an expert in transforming raw data into insights that drive operational efficiency.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

Our Big Data Consulting Process

We guide you from initial discovery and strategic planning to ongoing optimization and support, partnering with you at every step.

  • Discovery Phase

    Step 1

    Executive interviews, documentation reviews, and analysis of your data infrastructure. It’s a business alignment exercise to find where data can drive meaningful outcomes.

  • Data Assessment and Strategy

    Step 2

    We evaluate data sources, quality, governance, and analytics capabilities, map data silos and constraints, and create a roadmap that aligns your data capabilities with business goals.

  • Architecture and Technology Selection

    Step 3

    We design your optimal big data architecture with a vendor-agnostic approach, choosing ingestion, storage, processing, and visualization tools based on your needs.

  • Proof of Concept

    Step 4

    Before full-scale deployment, we validate the architecture on high-value use cases, building working prototypes with your actual data to show tangible business impact.

  • Implementation and Integration

    Step 5

    In agile sprints, we build data pipelines, configure processing frameworks, integrate security controls, and develop analytical models, ensuring seamless data flow.

  • Knowledge Transfer

    Step 6

    Workshops, documentation, and training sessions build your internal capabilities in data governance, analytics methods, and change management.

  • Optimization and Evolution

    Step 7

    Ongoing optimization through architecture adjustments, new analytics capabilities, and new technologies keeps your investment delivering maximum value.

Industry-Specific Big Data Solutions

Our expertise spans diverse sectors where efficient data flow is critical for decision-making, innovation, and growth.

  • HealthTech

    Integrate health records, medical imaging, wearable, and genomic data to enable personalized medicine and accelerate medical research.

  • GreenTech

    Monitor carbon footprints, optimize renewable energy systems, analyze climate patterns, and manage resources smarter.

  • FinTech

    Enable real-time fraud detection, algorithmic trading, personalized banking, risk assessment, and regulatory compliance.

  • Retail

    Analyze purchasing patterns, optimize inventory, implement dynamic pricing, and create seamless omnichannel experiences.

  • Manufacturing

    Connect factory sensors, production metrics, and supply chain data to minimize downtime and improve quality control.

  • Transportation and Logistics

    Examine traffic, weather, fuel, and delivery data to improve reliability and reduce environmental impact across supply chains.

    Combining high-volume operational data helps teams detect delays, bottlenecks, and unusual patterns earlier. Forecasting and route analysis support more informed capacity planning, fleet use, and delivery scheduling.

Build a real-time data processing system with Beetroot:

Why choose Beetroot as a big data development company?

Gain access to IT knowledge that has fueled the success of 200+ impactful partners in 24 countries.

  • Reliable Data Architecture

    Custom data pipelines and storage solutions that scale with your business, optimized for both performance and cost-efficiency.

  • Focus on Security

    Multi-layered protection with advanced encryption, access controls, and monitoring safeguards your most valuable information.

  • Integration Expertise

    We connect disparate systems into a unified data ecosystem, eliminating silos regardless of legacy systems or constraints.

  • Responsible AI

    Fairness, transparency, accountability, and human oversight throughout the ML lifecycle keep AI aligned with your values.

  • Environmental Sustainability

    ISO 14001-aligned operations, optimized computing resources, and offset cloud emissions minimize your data’s footprint.

  • Social Responsibility

    Strict ethical guidelines for data collection and use protect privacy and human dignity, and we actively give back to communities.

What Our Clients Say

Discover how we’ve helped businesses achieve their goals.

  • Adam Wamai Egesa
    Co-Founder and CTO at Normative

    Beetroot’s breadth of knowledge on different frameworks and technologies is impressive. We were using a somewhat niche or rare framework, and were struggling to find people who even knew about it. Beetroot developers were acquainted with it and easily accomplished tech tasks of all complexity.

Beetroot in Action

We’ve delivered successful projects for a variety of clients, from startups to established enterprises. Here are a few examples:

  • Upptec

    Learn how we helped Upptec grow their product by 50% and pricing databases by 500% through a dedicated team partnership focused on data and database optimization.

    Read the full story

Custom Workshops

Targeted learning aligned with your current challenges. We develop a big data curriculum based on your infrastructure, data sources, and analytics goals.

  • What you get:

    • Immediate project application

      Your team learns exactly what current initiatives need, closing the gap between training and implementation.

    • Consistent knowledge

      A shared understanding of data processes across departments, with one technical language and standardized practices.

    • Higher ROI

      Training built around your tech stack and business cases leads to better retention and measurable performance gains.

Have big data questions?

We can help. Submit the form to discuss your big data software solutions.

    FAQs

    Nick Tykhomyrov, CBDO, Beetroot

    Nick Tykhomyrov

    CBDO