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
- Amazon Kinesis Data Streams
- Amazon Fraud Detector
- Amazon Forecast
- Amazon SageMaker
- Amazon Personalize
- Amazon QuickSight
- Amazon Transcribe
- Comprehend
- Amazon Comprehend Medical
- Amazon HealthLake

Microsoft Azure

- Data Factory
- Data Catalog
- Event Hubs
- Azure IoT Hub
- Azure Data Lake Storage
- Power BI
- Azure Synapse Analytics
- Azure Machine Learning
- Azure Databricks
- Cosmos DB
- Azure Functions
- Azure Analysis Services
- Azure Stream Analytics
- Azure Data Share

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 Skills
Since 2014, our data integration consultants have been helping clients across the globe optimize data and translate it into business insights.
Reliable Data Engineering Company
Communication, commitment, and transparency is what our team guarantees during data engineering process development.
Top Big Data Company by Clutch
InData 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

Food Supply Management – Digitization with Azure Data Lake & IoT Hub

The client is a food service company. They requested InData Labs to help with outdated datasets migration.

We’ve analyzed the client’s requirements and needs and helped them migrate to cloud infrastructure with ease. For now, the client can visualize business insights and improve decision making.

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Delivering Data Intelligence for Chemical Industry

The client is a chemical manufacturer. They needed an efficient solution to analyze chemical mixture compositions and product test results.

The InData Labs team proposed developing an analytical solution for real-time sales and product analytics. Using it, the client can now visualize historical data and extract insights.

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BI Solution for Unification & Construction Projects Analysis

The client is a data center firm. They contacted InData Labs to aid them with custom software for Big data analysis and KPIs visualization.

Our team has provided the client with an innovative BI solution for real-time business analytics and reporting. The solution improves operational efficiency and business planning.

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Data Lake Implementation for Efficient Big Data Processing and Visualization

Data Lake Implementation for Big Data Processing & Visualization

The client is a construction company. They needed to strengthen their AI platform with BI.

The InData Labs team managed to find a way for data collection, analysis, processing, and visualization. We created a BI solution for real-time workflow monitoring across the company, which improved KPIs and scale up business processes.

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BI Implementation for Baby Care Mobile Application

The client is a baby care app developer. They wanted to scale up data collection and reporting.

The InData Labs team implemented BI into the client’s existing solution to detect inconsistency issues. We’ve also made changes to the existing client’s reporting system so it could work properly.

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View All Case Studies

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.

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