Big Data Services
Make sure your data is 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 resources.
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Top 1%
of software development companies on Clutch
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EU GDPR
commitment to security & privacy
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60%
of business is based on customer referrals
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ISO 27001
data security certification by Bureau Veritas
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EY EoY 2023
EY Entrepreneur of the Year in West Sweden
What Is the Value of Investment in Big Data?
Big data enables companies to gain deeper insights into customer behavior, operational efficiency, and market trends. While privacy concerns and talent shortages are common objections, the long-term ROI typically outweighs initial investments when properly aligned with business goals. Here are some of the key benefits big data can bring to your company
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New Knowledge
Fresh data-driven insights allow your employees to make more accurate and timely decisions. -
Improved Customer Understanding
You gain more information about customer preferences, behaviors, and needs. -
Operational Efficiency
Big data helps pinpoint bottlenecks, waste, and inefficiencies throughout business processes. -
Market Leadership
Organizations that effectively leverage big data can spot trends before competitors and respond faster to changing conditions.
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Our Big Data Consulting Services
We offer strategic consulting services that enable you to transform data into a competitive advantage.
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Strategy & Advisory Services
Create a viable plan for big data integration with Beetroot. We can craft roadmaps that align with your business goals, recommend appropriate technologies, and establish data governance frameworks. Our consultants focus on measurable ROI for your big data use cases, making sure you gain a competitive edge and optimize your investment in the long haul. We prioritize a smooth big data integration with your business.
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Infrastructure & Platform Services
Architect and implement scalable cloud data platforms on AWS, Azure, or GCP. Our team designs custom data lakes and modernizes legacy data warehouses to handle your growing data volumes efficiently. Whether you need Hadoop implementation, real-time processing capabilities, or edge computing solutions, we build resilient infrastructures that adapt to your business needs.
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Big Data Engineering Services
Develop ETL/ELT pipelines that transform raw data into business assets. We create data ingestion architectures and implement streaming solutions that process information in real-time. Our big data integration services connect disparate systems across your organization, and our data quality management ensures the accuracy and reliability of your information, empowering your teams to make decisions with confidence (check out our data quality assurance services).
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Big Data Analytics Services
Turn data into actions with business intelligence services and self-service analytics. We can develop predictive models that help you anticipate market trends and customer behaviors, while our real-time monitoring solutions keep you informed of critical business metrics as they evolve. Our custom dashboards present information in intuitive, visual formats that enable quick decision-making.
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Advanced Analytics & AI
Develop machine learning and deep learning models that unlock patterns in your data. We can implement natural language processing to extract insights from unstructured text, computer vision systems that interpret visual information, and recommendation engines that enhance customer experiences. See more in our NLP services and computer vision development services.
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Custom Workshops
Empower your team with essential big data skills and knowledge. Our custom training programs can improve technical capabilities and promote data literacy throughout your organization. We facilitate change management to guarantee smooth adoption of new data initiatives and use data democratization strategies that put insights in the hands of appropriate stakeholders.
Get expert advice on your big data strategy
Cooperation Models
We can supplement your team’s skills with flexible collaboration throughout the project. Our capabilities extend beyond big data, encompassing expertise in RPA services, MLOps services, and LLM development services.
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Dedicated Development Teams
Direct communication and controlExtend your big data capabilities with a dedicated team of experts. We can connect you with highly skilled data engineers, analysts, and data scientists, ensuring top-tier execution and rapid innovation in your data initiatives.
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Project-Based Engagements
End-to-end supportAddress your big data challenges with our project-based engagements. From data lake implementations to advanced analytics solutions, we deliver on our promises within defined timelines and budgets.
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Custom Tech Training
Hands-on team trainingUpskill your team with the latest big data skills through our tech training programs. We offer hands-on workshops and courses to enhance your organization’s expertise in data processing, analysis, and management.
Tools and Technologies
Big data tools and technologies are designed to handle the immense volume, velocity, and variety of data. They span areas like distributed storage, real-time processing, advanced analytics, and ML, allowing for efficient data management (check out our data management services).
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Data Warehousing
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Snowflake
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Amazon Redshift
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Google BigQuery
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Azure Synapse Analytics
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Data Lakes
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Apache Iceberg
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Delta Lake
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Apache Hudi
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Data Transformation and Processing
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Python
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R
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TensorFlow
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PyTorch
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Big Data Services vs. Data Analytics Services
Big data and data analytics serve different, though related, purposes. Essentially, big data is all about the “how” of handling massive data. It focuses on the infrastructure and management of vast amounts of data. Data analytics services are about the “what” of using the data to gain value. It aims to extract meaningful insights and patterns from data.
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Big Data
- Handles structured, semi-structured, and unstructured data from various sources.
- Collects, stores, and processes large volumes of data for future analysis.
- Finance, healthcare, retail, telecommunications, social media, IoT.
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Data Analytics
- Can work with various data types, but often focuses on structured or prepared data.
- Extracts valuable information and supports informed decision-making.
- Business intelligence, marketing, risk management, scientific research, healthcare, all business sectors.
Meet Your Team of Big Data Experts
Want to see who’s behind the magic? Here are our talented tech experts.
Our Big Data Consulting Process
Our big data consulting process guides you from initial discovery and strategic planning to ongoing optimization and support. We can partner with you for every step of the journey.
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Discovery Phase
We conduct executive interviews, review existing documentation, and analyze current data infrastructure. This is not simply a technical assessment but a business alignment exercise where we find how data can drive meaningful outcomes for your organization.
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Data Assessment and Strategy Development
Our specialists evaluate your data sources, quality, governance practices, and current analytical capabilities. We examine data silos, integration challenges, and technological constraints, and map the flow of information throughout your organization (check out our data migration services). This assessment informs the development of a strategic roadmap that aligns your data capabilities with business goals.
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Architecture Design and Technology Selection
With a clear strategy in place, we move to designing your optimal big data architecture (see more in data architecture services). Our vendor-agnostic approach means we recommend technologies based on your needs. We evaluate options across the entire big data ecosystem — from data ingestion tools and storage solutions to processing frameworks and visualization platforms.
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PoC
Before full-scale deployment, we validate the proposed architecture through focused proof of concept projects. We select high-value use cases that demonstrate tangible business impact. And our engineering team builds working prototypes with your actual data.
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Solution Implementation and Integration
With concepts proven, we transition to implementation. Our teams work in agile sprints to build out the complete big data ecosystem. We establish data pipelines, configure processing frameworks, integrate security controls, and develop analytical models. Crucially, we focus on seamless data flow between operational and analytical environments.
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Knowledge Transfer
A key differentiator in our consulting approach is our emphasis on your internal capabilities. We implement structured knowledge transfer through workshops, documentation, and training sessions. Our capability building includes data governance practices, analytic methods, and change management strategies.
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Optimization and Evolution
We offer ongoing optimization services that help you continuously extract maximum value from your investment. We search for opportunities for refinement, whether through architecture adjustments, new analytical capabilities, or adoption of new technologies.
Industry-Specific Big Data Solutions
Our expertise spans diverse sectors, where efficient data flow is critical for informed decision-making, innovation, and growth. Here are several data pipeline examples:
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HealthTech
Integrate electronic health records, medical imaging, wearable data, and genomic information to enable personalized medicine, optimize treatment plans, and accelerate medical research.
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GreenTech
Monitor carbon footprints, optimize renewable energy systems, analyze climate patterns, and implement smart resource management to advance environmental goals.
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FinTech
Enable real-time fraud detection, algorithmic trading, personalized banking experiences, risk assessment, and regulatory compliance.
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Retail
Analyze purchasing patterns, optimize inventory, implement dynamic pricing, and create seamless omnichannel experiences.
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Manufacturing
Connect factory floor sensors, production metrics, and supply chain data to minimize downtime and improve quality control.
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Transportation & Logistics
Examine traffic patterns, weather data, fuel consumption, and delivery performance to improve reliability and minimize environmental impact across supply chains.
Build a real-time data processing system with Beetroot
Why Choose Beetroot as a Big Data Development Company?
Gain access to our wealth of IT knowledge, which has fueled the success of 200+ impactful partners in 24 countries.
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Reliable Data Architecture
Our experts design custom data pipelines and storage solutions that scale with your business. We optimize for both performance and cost-efficiency, making sure you have the speed your operations demand (see more in data pipelines development services).
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Focus on Security
Our security framework uses multi-layered protection across all data systems. We integrate advanced encryption, access controls, and monitoring to safeguard your most valuable information assets against new threats.
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Integration Expertise
We connect disparate systems to create a unified data ecosystem. Our integration capabilities eliminate data silos and enable smooth information flow across your organization, regardless of legacy systems or technology constraints.
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Responsible AI
We prioritize ethical AI development / ML data solutions. Our approach emphasizes fairness, transparency, and accountability throughout the ML lifecycle. We guarantee human oversight of AI-driven processes for alignment with your values (see more in our GenAI services).
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Social Responsibility
We believe in giving back to the community and actively engage in social responsibility initiatives that make a positive change. Our experts maintain strict ethical guidelines for data collection and usage, ensuring respect for privacy and human dignity in all our operations.
Our Clients Say
Discover how we’ve helped businesses achieve their goals.
Beetroot in Action
We’ve delivered successful projects for a variety of clients, from startups to established enterprises. Here are a few examples:
Custom Workshops
Targeted learning, perfectly aligned with your current challenges. We develop customized big data curriculum based on your existing infrastructure, data sources, and analytical goals.
- Immediate Project Application. Team members learn exactly what they need for current initiatives, which eliminates the gap between training and implementation.
- Consistent Knowledge. You create a shared understanding of data processes across departments, ensuring everyone speaks the same technical language and follows standardized practices.
- Higher ROI. Custom training addresses your technology stack and business cases, which results in greater knowledge retention and measurable performance improvements.
Have big data questions?
We can help. Submit the form to discuss your big data software solutions.