Big Data Development Services
At InData Labs we build a data warehouse
adopt advanced analytics
develop big data applications
adopt advanced analytics
develop big data applications
Big Data Engineers & Architects | Deep Expertise in AWS and Azure
Trusted by Innovative Companies
Big Data Development for Your Company
Big Data Development for Your Company
We provide insights-as-a-service: you get actionable business insights out of your data based on specific data pipelines designed to achieve your goals.
Big Data Consulting
Big Data Consulting
We review your business processes vs business goals set and offer the best way to digitize it. As a big data development service provider, we’ll make it data-driven and transparent in terms of decision-making. We’ll provide project assessment, design, implementation, testing, deployment, and support on-demand.
Data Infrastructure & Engineering
Data Infrastructure & Engineering
We’ll collect, clean and structure your data for analysis and visualisation. We’ll design a data pipeline with real-time data streaming, batch data streaming or lambda architecture, build data lakes and warehouses. Big data implementation services include data warehouse architecture consulting and development, implementation, advancement or migration.
Data Analytics
Data Analytics
We’ll arrange data lakes and warehouses for effective data storage, retrieval, and insights mining. We get raw data coming from businesses’ various sources. Considering business’s specifics, we clean and analyze data, and yet find new ways of using it to enhance the business’ value.
Data Visualization
Data Visualization
We visualise insights mined, so it’s easy-to-understand for the business’ owner. We agree on reports and dashboards, and develop a system to generate them based on data from data lakes and warehouses. Data visualisation is insightful and valuable for reshaping business strategy and improving its competitiveness on the market.
Artificial Intelligence
Artificial Intelligence
Based on the data, we build custom AI models that simplify decision-making. Outsourcing big data analysis to artificial intelligence, you prevent human error, improve business efficiency and cut costs.
Need big data app development?
How You Can Benefit from It
Our cross-functional team of data scientists, big data engineers, solution architectures and consultants provide big data consulting and big data development services to help you leverage your data and the latest AI technologies for business value and get the most out of your investment.
Better Insights into Customers
Increased Operational Efficiency
Business Process Automation
Data-Driven Product Innovation and Promotion
Cut Costs from Smart Decision Making
Improved Market Intelligence
Our Approach
1. Business Challenge Review
We analyze your business environment and domain specifics, performance, data sources, define the challenges and set up goals. Our team of skilled business analysts and engineers brainstorm to suggest to you the solutions that address your challenges and take your business to new heights.2. Data Collection and Preparation
We aggregate data into representations adapted for storage and processing. Preparation includes standardization, missing values handling, outliers filtering and other operations, e.g. specific to textual/visual information.We collect business data and transform it into a form processable by available intelligent tools.3. Data Analysis
To analyze data we use cutting-edge statistical methods, and various machine learning and data science algorithms. The insights we get during data analysis, help the business owner see roadblocks or unobvious things in the business process and get them improved promptly.4. Business Implementation
We use data science tools and cloud platforms like AWS, Azure, Google Cloud. If the client prefers an on-premise solution, we’re ready to create a custom system based on Python Scientific and ML Stack and integrate it into the client's business infrastructure using tools (databases, containerization, web frameworks, etc.) appropriate for the use case.
Get the most of your data
Industries
See how big data software development services disrupt the industries. Get inspired to enhance yours.
Technologies & Tools
Our big data developers use the best available technologies and embrace new ones.
Certificates
We’re a team of specialists who have certifications for qualifying the skills, knowledge and expertise.
Why Work With InData Labs?
Here, at InData Labs, we always invest time and effort in finding the best suitable solutions for our customers’ needs and provide BI and data warehouse services
Savvy Data Science Team50+ members of the development team are ready to bring to the table years of production experience in big data projects to assist you in achieving a competitive edge.
Innovative SolutionsWe strive to find the most suitable, innovative, and cutting-edge technologies tailored to meet your specific business needs.
High-Quality ResultsOur big data development services help our clients improve overall performance, increase profitability, and gain a competitive edge.
Recent Big Data Transformation Projects at a Glance
| Industry | Problem solved | Input Data | Outcome | Tech stack | Project duration |
|---|---|---|---|---|---|
| Financial Industry | Managing rewards points for the clients transactions | Raw transactions data with PCI information being removed | Amount of rewards points for every client in structured data | EC2, Docker, S3, Glue, Redshift, QuickSight | 1,5 years |
| Financial Industry | Gift cards processing to keep track of statistics on money spent, amount of activated cards and major spending directions | Raw transactions data with PCI information being removed | Processed data with analysis and statistics for each type of cards | Lambda, s3, Glue, Redshift, PowerBI | 2 years |
| Financial Industry | Solution for data ingestion and reporting (Financial reporting for banking) | SharePoint lists, CSV data | Processed data ready for analysis | Azure: Data Factory, Spark / DataBricks, Scala, Azure DevOps | 6 months |
| Aircraft Industry | Processing the data from aircraft's engines to make predictions and analysis on their conditions and trends | Raw full flight data | Processed data with predictions and errors that can trigger the alarms | SQS, S3, Step Functions, Glue, Redshift, DynamoDB, SageMaker, PowerBI | 1,5 years |
| Automotive | Smart factory Industry 4.0 solution for IoT and master data processing and reporting | IoT streaming data (SCV, OPC), SAP Idocs, relational databases | Lambda arch with hot notifications and cold analysis | Azure: IoT Hub, SAP, AKS, CosmosDb, Data Explorer, PowerBI, Angular, Azure DevOps | 1 year |
| Automotive | Migration of huge monolith app to Azure (lift and shift / Containerization) | IoT streaming data (MQTT), master data | Application migration POC (no migration due to cost reasons (ORacle blocker) | Azure: IoT Hub, AKS, VMs, Pricing calc, Oracle, PostgreSQL, Oracle Cloud | - |
| Retail | Implementation of cross-region reporting system for retail analysis | Microsoft Dynamics | Processed data, Microstragegy reports | Azure: AKS, SQL, .NET, Synapse | 3 years |
| Oil and Gas | Digitalization and corporate data warehouse solution for corporation and compliance needs | IoT, SharePoint, manual, SCV, Oracle | Single point of truth for corporate data assets with the corresponding analytics apps | SQL Server, Oracle, Kalido DW, PowerBI | 5 years |
Customer Success
