Data Engineering
Data Engineering Services
Empower your business through precise Data Engineering solutions, Optimal Data Management, and Analytical Insights
Scale Your Data OperationsData Engineering: key stats and industry dynamics
Businesses across the globe are rapidly adopting Data Engineering capabilities to enhance their strategic growth
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18%
Of CAGR growth is projected globally for data engineering from 2020 to 2024 – Market Data Forecast
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55%
Of organizations invest in real-time data processing and analytics – Edge delta
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175 ZB
Volume of data will be generated globally by the year 2025- Data Universe
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68.7%
Of the worldwide market share is held by data engineering services and BIG DATA in 2023 – Market Data Forecast
Services
A glimpse of the Data Engineering services we provide for exceptional business solutions
Accelerate your business with data-driven solutions through our advanced services
Get expert Data solutions-
Data Analytics Consulting
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Business Intelligence & Dashboards
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Predictive & Prescriptive Analytics
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Data Governance & Strategy
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Advanced Analytics
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Data warehouse strategy and consulting
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Data warehouse development
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Data warehouse implementation
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Data warehouse migration
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Data Warehouse as a service
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Image Annotation
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Text Annotation
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Video Annotation
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Audio Annotation
Technologies we use
Agile tech stack powering innovative
Data Engineering solutions
We harness the power of a modern digital ecosystem to advance our technology solutions
Modernize Your Data InfrastructureData Warehousing consolidates data from multiple sources for analysis, empowering data-driven decisions.
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Amazon Redshift
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Google BigQuery
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Microsoft Azure Synapse
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Teradata
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IBM Db2 Warehouse
ETL tools streamline data integration, ensuring accurate and efficient data transformation for better decision-making.
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Apache Nifi
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Informatica
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Microsoft SSIS
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AWS Glue
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Apache Airflow
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Google Cloud Dataflow
Consolidates diverse data sources, providing a unified view for better analysis and adjudge
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SAP Data Services
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MuleSoft
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Dell Boomi
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Apache Kafka
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Apache Camel
Data Visualization services transform data into captivating stories, revealing hidden insights and driving innovation
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Tableau
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QlikView
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Power BI
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Looker
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Kibana
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Grafana
Data governance ensures data quality and compliance, fostering trust and regulatory adherence
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Google Cloud IAM
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Azure Active Directory
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AWS IAM
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Apache Ranger
Data Lakes are vast repositories storing raw data in their native format, fueling innovation and advanced analytics
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Cloudera
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Azure Data Lake
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AWS DataLakes
Annotation is the process of labeling data for AI training, enabling machines to learn and make intelligent decisions
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Dataloop
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Label Studio
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Labelbox
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Scale AI
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SuperAnnotate
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V7
Data Security safeguards your valuable information, protecting your reputation, preventing financial loss, and fostering customer trust
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Google Cloud KMS icon
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Azure Key Vault
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AWS KMS
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Apache Ranger
Convert data challenges into business opportunities with Openxcell
Conquer data complexity with our comprehensive Data Engineering Consulting Services
Trending Use Cases
Data Engineering enhances business operations by providing high-quality, reliable data for strategic planning and operational efficiency.
- Provides clean, accessible data to empower businesses
- Automating processes and data pipelines saves time and resources
- Data-driven insights help businesses identify new opportunities
- Data Engineering solutions handle growing data and complexity
- Optimizing data storage and management leads to cost savings
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Data Quality Issues
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Have inconsistent, inaccurate, or incomplete data quality issues?
At Openxcell, we ensure your data is consistent, accurate, and complete for reliable insights.
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Data Integration Complexity
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Is combining data from various sources and systems challenging?
Openxcell simplifies combining data from various sources and systems for seamless integration
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Scalability and Performance
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Is handling increasing data volumes hectic for maintaining performance?
We handle increasing data volumes efficiently, ensuring optimal performance at Openxcell.
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Data Governance and Compliance
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Is it tough to ensure data privacy and security and adhere to regulations?
Openxcell guarantees robust data privacy, security, and adherence to regulations for your peace of mind.
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Our methodology for the Data Engineering process
Achieving business success through our structured data engineering process
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01
01Data Collection
Gather data from various sources, including databases, APIs, and external systems
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02
02Data Cleaning
Remove inconsistencies, errors, and duplicates to ensure data quality and accuracy
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03
03Data Transformation
Convert data into a suitable format for analysis, applying necessary transformations
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04
04Data Storage
Store processed data in data warehouses or lakes for easy access and efficient querying
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05
05Data Analysis and Visualization
Use analytical tools and visualization techniques to derive insights and present data
Why Openxcell
Data Engineering excellence with Openxcell
Our experts help you capitalize on data, not just collect it
Transform Your Data Today-
Data Quality
We provide data integrity and precision through rigorous validation, cleansing, and enrichment
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Operational Efficiency
Our data pipelines and automation empower businesses to focus on strategic initiatives and business performance
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15+
Years of delivering quality solutions
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1000+
Happy Clients
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400+
Data Engineers
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1500+
Successful projects
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95%
Client Retention
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20%
Faster Product Delivery
Case Studies
Data-Driven triumphs: Our proven record
Explore how our data engineering solutions have transformed businesses and driven success across various industries
Explore more case studies
JobTatkal - Job platform powered by Generative AI
The platform bridged the gap between recruiters and job seekers with its GPT-powered capabilities. It allowed users to create accurate job descriptions and filter results for relevant profiles. This saves recruiters’ time while candidates benefit from better visibility.
Technology Used
- Primary AI Technology - OpenAI GPT-4
- Frontend - React.js, Next.js
- Backend - Node.js
- Database - MongoDB Atlas
Key Features
- 10x Faster Profile Setup With AI
- Hiring Time Reduced By 91%
- 7x Faster Job Posting
Speed - A leading AI-powered crypto platform to ensure the security of transactions
Speed primarily aims to collaborate with AI to identify and point out suspicious crypto transactions in real time. It provides a secure environment for all users to maintain the proper crypto transactions.
Technology Used
- Data Storage - SQL/NoSQL
- Data Processing- Apache Spark
- ML Frameworks- TensorFlow and Scikit-learn
- Real-time Processing- Apache Kafka
- Deployment- Docker and Kubernetes
Key Features
- AI better the detection rate of fraudulent transactions
- Real-time analysis, minimizing potential losses
- Reduced False Positives
TracknTake - Discover and Deliver all products: Your Local Marketplace at Your Fingertips
The platform empowers users to search for products available in their local area. TracknTake’s beneficial feature is a flexible pick-up, which cuts wait time. It enhances the shopping experience, offering convenience and reducing delivery costs and time
Technology Used
- Backend - Python, PHP Laravel
- Frontend- Android - Kotlin, IOS- Swift
Key Features
- Find products nearby easily
- Simple search
- Instant results
- Hassle-free shopping
Cribzzzz AI Assistant - A generative AI chatbot designed for real estate
We designed a generative AI solution for Cribzzzz – a platform that connects real estate agents with potential buyers. The solution was designed to handle massive datasets and create a unique yet engaging client experience.
Technology Used
- GPT model – GPT 4
- Server – Microsoft SQL
- Frontend – ReactJS
- Backend - Dotnet Core
- Database – MongoDB
Pointers
- Generative AI-powered search
- Real-time assistance and 24/7 support
- Voice assistance and personalized suggestion
Specialized Data Engineering solutions catered to address the needs of various industries
Explore how our data engineering solutions have transformed businesses and driven success across various industries
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Patient Data Management
Data Engineering centralizes patient records, making critical health information more accessible and manageable
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Enhanced Data Integration
Integrates data from different health systems and devices to provide a comprehensive view of patients' health
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Real-Time Analytics
Enables real-time monitoring and analysis of patient data for better care outcomes and timely interventions
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Compliance and Security
Data Engineering ensures that sensitive health information is securely stored and placed in compliance with regulations like HIPAA
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Fraud Prevention
Data Engineering detecting fraudulent transactions and pattering by real-time data analysis
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Risk Assessment
Evaluate financial risk, investment risk, and creditworthiness based on historical data and integration data
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Customer Segmentation
Data Engineering identifies customer segments for better-targeted marketing and product development
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Algorithmic Trading
Data Engineering develops automated trading systems based on data analysis and complex pattern recognition
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Optimized Supply Chain
Data Engineering tools integrate data from various points in the supply chain to streamline operations and reduce inefficiencies
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Better Route Planning
Determining the most efficient delivery routes based on several factors like distance, traffic, time, etc
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Predictive Maintenance
Analyzes equipment data to predict issues and failures, and schedule maintenance, minimizing downtime and extra costs
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Real-Time Tracking
Provides real-time visibility into shipments and inventory, enhancing logistics and transportation management
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Personalized Shopping Experience
Data Engineering analyzes customer behavior and preferences to deliver targeted recommendations and personalized experiences
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Inventory Management
Improve inventory management and tracking through data integration, reducing overstock and stockouts for better overall management
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Sales and Trend Analyses
Provide insights into sales trends and customer buying patterns, helping in strategic decision-making and marketing
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Recommendation Systems
Suggesting products based on the customer's preferences and purchase history and clicks
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Demand Forecasting
Data Engineering uses data to predict customer demand and optimize inventory levels, reducing waste and improving stock availability
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Price Optimization
Determines the perfect pricing strategies based on the products' current market trends and customer behavior
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Chain Management
Data Management uses data engineering pipelines to improve the efficiency of the supply chain through data-driven insights
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Customer Insights
Data Engineering Analyzes customer data to understand user preferences, loyalty, and behavior
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Property Valuation
Data Engineering analyzes market property and trends data to determine accurate property values
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Investment Risk Assessment
Utilizes data engineering to evaluate opportunities and risks in real estate investments, enhancing decision-making processes
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Market Analysis
Data engineering sharply analyzes real estate market data to identify trends, assess property values, and make investments
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Property Management
Streamlines property management by centralizing data on maintenance, tenant information, and lease agreements
Testimonials
A word from our clients on our Data Engineering services
Our expert team has helped clients in various sectors with amazing Data Engineering resources
Resources
Our exclusive Data Engineering knowledge hub
Get more extensive insights and varied perspectives on Data Engineering Practices
Explore All Blogs
FAQ’s about the Data Engineering
Here are the answers to some of the most common questions on Data Engineering
OpenXcell offers comprehensive data migration services to ensure seamless data transfer from legacy systems to new platforms. Our team uses best practices and modern tools to minimize downtime and ensure data integrity during the migration process.
Yes, we provide customized data engineering solutions tailored to meet every client’s unique needs. Our team understands the requirements and provides design solutions that optimize data workflows and architecture.
Data Integration can have several challenges, including:
- Data Quality Issues – Ensuring data accuracy, consistency, and cleanliness.
- Complexity of Data Sources – Integrating data from various systems and formats.
- Scalability – Handling large volumes of data efficiently.
- Real-time Processing – managing and integrating real-time data streams.
- Security and Compliance – Ensuring data compliance and security with regulatory standards.
OpenXcell enhances your data analytics capabilities through our data engineering services:
- Data Cleaning and Preparation – Ensuring high-quality data for analysis
- Advanced-Data Modeling – Creating robust data models to uncover insights.
- Integration of Advanced Analytics Tools – Incorporating AI and machine learning tools for predictive and prescriptive analytics.
- Scalable Data Solutions – Providing scalable data solutions that grow with your business needs.
Yes, We offer real-time data processing solutions that enable businesses to analyze and process data as it arrives. It helps in making timely decisions and gaining immediate insights, which is crucial for many business operations.
OpenXcell stands out from the competition due to its expert Team. Tailored Data Engineering Solutions, Modern Technology, Commitment to Quality, and Client Centric approach.
Ready to move forward?
Contact us today to learn more about our AI solutions and start your journey towards enhanced efficiency and growth
