Big Data Development Services
implement cutting-edge analytics
and develop Big Data applications
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.
How You Can Benefit from It
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.
Industries
Technologies & Tools
Analytics
Interactive analytics | Amazon Athena
Big data processing | Amazon EMR
Data warehousing | Amazon Redshift
Interactive analytics | Amazon Kinesis
Operational analytics | Amazon OpenSearch
Dashboards and visualizations | Amazon Quicksight
Visual data preparation | AWS Glue DataBrewData movement
Real-time data movement | AWS Glue, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, Amazon Kinesis Video Streams, AWS Database Migration Service
Data lake
Object storage | Amazon S3, AWS Lake Formation
Backup and archive | Amazon S3 Glacier, AWS Backup
Data catalog | AWS Glue, AWS Lake Formation
Third-party data | AWS Data ExchangePredictive analytics and machine learning
Frameworks and interfaces | AWS Deep Learning AMIs
Platform services | Amazon SagеMaker
Interactive analytics | Amazon Athena
Big data processing | Amazon EMR
Data warehousing | Amazon Redshift
Interactive analytics | Amazon Kinesis
Operational analytics | Amazon OpenSearch
Dashboards and visualizations | Amazon Quicksight
Visual data preparation | AWS Glue DataBrewReal-time data movement | AWS Glue, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, Amazon Kinesis Video Streams, AWS Database Migration Service
Object storage | Amazon S3, AWS Lake Formation
Backup and archive | Amazon S3 Glacier, AWS Backup
Data catalog | AWS Glue, AWS Lake Formation
Third-party data | AWS Data ExchangeFrameworks and interfaces | AWS Deep Learning AMIs
Platform services | Amazon SagеMaker
Certificates
Why Work With InData Labs?
Savvy Data Science Team80+ 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.
| 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
FAQ
- What is Big data development?
Big Data implies an enormous and steadily expanding set of data which cannot be processed and analyzed only by human intelligence. The significant advantages of Big data development include not only data processing, but also the possibility to visualize the obtained information.
- What are the 3 types of Big data?
Big Data is divided into Structured Data, Unstructured Data and Semi-Structured Data.
Any information that can be saved and processed in a fixed format is described as “structured” data. This type of data is the one that enables you to analyze information in the shortest time frame.
Unstructured data has no predefined structure and can be represented in text, video, audio or image form. Such information tends to be a bit more challenging to analyze, but it often provides the most relevant insights.
Semi-structured data does not have to be represented in any particular, clearly fixed form, but it should have tags or other markers to differentiate the presented items.
- How can a web development company use Big data?
Big Data is extensively applied to process information in an effective manner and provide a superior competitive advantage in the marketplace. Big Data analysis helps to systematize information and identify invisible cause and effect relationships. Using Big Data, a web development company is able to optimize communication with its clients, improve operational efficiency, enhance service quality and minimize expenses.
- What is Big data technology?
Big data technologies refers to modern software tools that are used to operate and analyze various types of information.
Big data technology can be categorized into Operational Big Data Technologies, that interact with real-time activity and maintain the required data, and Analytical Big Data Technologies, which in turn analyze a larger amount of information and offer the most appropriate business solutions for the ongoing business operation.
- What do Big data developers do?
A Big data developer is a specialist who designs and tracks data processing systems, creates the interface of the Big data model and upgrades it.
The main aim of such a professional is to implement data management strategies and principles in order to tackle a concrete task.
- How the use of Big data will help a web development company with value and profits?
Big data analytics tools predict the results of your strategic decisions, thereby optimizing operational efficiency and minimizing your company’s risks. Ongoing market research enables you to explore the existing trends in detail, as well as foresee the preferences of potential clients.
Using Big Data in the working process of a web development company you can enhance customer service, boost the competitiveness of your business and not only increase your income, but also prevent any possible crucial errors.
- What is the price of Big data development?
Any modern technological solution required to simplify a number of business processes implies considerable expenses, particularly at the first stages of implementation. The final sum may vary, as it directly depends on the expertise of the chosen developer.