Big Data Engineering Services
We create Big Data solutions for driving smart business decisions and bringing changes
Manage your business in a rapidly changing world with data analytics solutions. Keep an eye on your data, collect it from various sources and analyze it to reshape the strategy and strengthen the brand on the market.
Ingestion
ETL
Analysis
Modelling
Visualization
Our Services
Leverage top data science & engineering services to improve business efficiency.
Data Architecture
- Data engineering consulting on improvements & automation
- Infrastructure upgrade roadmap development
- Implementing automation into the existing infrastructure
- Automating manual processes with CI/CD pipelines
- Data quality or data health
- Implementing serverless solutions
Data Pipelines
- Data-driven app design & development
- Extract data, transform, integrate it with other sources
- Designing end-to-end data flow architecture
- Implementation cloud ETL processes
- Implementing DataOps services for automation and improving data flows
- Enabling data observability to monitor your data in the data warehouse
Data Analytics
- Using Big data engineering tools for enhanced decision making
- Creating dashboard & reports visualization for analyzing Big data
- Storing & processing data, extracting insights
- Implementing & deploying solutions in the public cloud, or on-prem
- Providing efficient data cataloging to understand the data
Looking for a data engineering service provider?
Big Data Engineering: Benefits for Your Business
Embrace data-driven decision-making with custom data engineering solutions.
Streamlined Decision Making
Develop bespoke data engineering software for data analysis and insight extraction.
New Business Opportunities
Use data insights to uncover new business opportunities and scale-up.
Improved Product Quality
Analyze customer data to learn about their needs and preferences and deliver the best possible experience.
Cost Reduction
Drive down costs by automating information collection, extraction, and analysis.
Business Workflow Automation
Automate monotonous tasks and make internal processes more efficient.
Speed up Processes
Automate whatever you can, improve practices, and boost business efficiency.
Data Engineering Technologies
Open Source
Amazon AWS
- AWS Lake Formation
- AWS Glue
- Amazon EMR
- Amazon Redshift
- Amazon DynamoDB
- Amazon Athena
- AWS IoT Core
- AWS IoT Greengrass
Microsoft Azure
- Data Factory
- Data Catalog
- Event Hubs
- Azure IoT Hub
- Azure Data Lake Storage
- Power BI
- Azure Synapse Analytics
- Azure Machine Learning
Certificates
InData Labs is a certified AWS Partner. We have certifications that qualify our skills, knowledge and expertise.
Looking for smart data integration engineering services?
Why Work With InData Labs?
As a data engineering company, we follow tech essentials and expand our AI’s impact to ensure customer success.
Strong Data Engineering SkillsSince 2014, our data integration consultants have been helping clients across the globe optimize data and translate it into business insights.
Reliable Data Engineering CompanyCommunication, commitment, and transparency is what our team guarantees during data engineering process development.
Top Big Data Company by ClutchInData Labs, an engineering and data solutions provider, regularly makes it to the Clutch Leaders Matrix in Big data, AI, and other disruptive technologies.
Let Our Clients Do the Talking
Customer Success
FAQ: Data Engineering Services
- What is Big data engineering?
Data engineering means making unstructured data from different sources understandable and usable for data scientists and other individuals within the company for making data-driven decisions and achieving business goals.
- What are data engineering services?
- Data architecture development
- Data lakes and warehouses
- Data pipelines
- Data analysis, and more.
- Why do companies need data engineers?
Data engineers help businesses collect, analyze and translate the masses of data into business insights.
- What benefits do data engineering services provide?
- Big data analysis
- Data visualization
- Improved decision making
- Workflow optimization
- Task automation
- Cost reduction
- Improve product or service quality.