Big Data Services to Make a Big Difference
We support organizations to mine and derive value out of voluminous amounts of data collected from websites, mobile apps, and connected devices. Partner with us to explore possible big data opportunities to help you develop data-driven and intelligent strategies, create successful marketing campaigns, and make data-backed business decisions. Ready to explore fresh growth opportunities with big data?
Our Big Data Service Capabilities
We partner with businesses anywhere they are in their journey to extract value from data and turn them into actionable insights – unlocking competitive advantages for organizations.
Data Ingestion
Our capabilities help discover potential sources of data and build a robust Data Ingestion mechanism to collect, ingest, and manage multiple data sources.
Data Storage
Our Data Storage experience includes engineering scalable data warehouses and data lakes to efficiently store and retrieve data.
Proficiency in databases, multiple tech stacks, and database models such as Graph, Search, Columnar, and Timeseries ensure that we choose the best available solution to suit your use case to make data available fast and in the right format.
Data Pipeline
To manage volume, variety, and velocity of data, our experienced data engineering teams build Data Pipelines that have integrated quality checks to process stream (real-time) or batch (historical) data.
BI & Analytics
Business also leverages our BI and Analytics capabilities to build interactive and self-service dashboards to consume and visualize their data to derive insights for enhanced decision making.
We leverage popular BI platforms or custom make them to suit the organization’s needs.
Artificial Intelligence
Our Artificial Intelligence practice allows the business to build custom models to automate decision making.
See How our Big Data Services can Help your Business Grow
Maintaining a high level of user engagement is how companies stay relevant. Our advances in technology and design thinking help you achieve it.
We partner with clients to set up large scale data management. Our engineers have hands-on experience in creating, managing, and migrating petabyte-scale data lakes and warehouses using the latest advances in technology. Businesses can therefore get optimized storage costs, maintainability, and retrieval.
Our DataOps services bring in automation and agile development methodologies to Big Data Engineering. We bring in efficiencies to the entire data lifecycle to improve data quality and integration, thereby breaking down silos that exist across various units within the lifecycle. This also allows for better data access for the entire organization.
Business Intelligence & Analytics practice at Cuelogic helps stakeholders to derive insights from data. Our Big Data teams help build customized dashboards, set up enterprise search, and engineer real-time visualization of data streams. We leverage popular BI tools and build custom platforms using open source technologies to maximize customization and reduce licensing costs.
We help businesses to build personalized AI solutions to extract actionable insights or automate decision making. Organizations partner with us to build deep learning models, NLP modelling, and for Robotic Process Automation.
Our Data Scientists help organizations with feature engineering, data analysis, model validations, and building custom intelligence platforms. Clients leverage our data science practice by utilizing data to better understand their customers, optimize operations, and uncover new business opportunities.
Big Data Technologies We Use
Here’s the list of technologies most frequently used in our big data projects:
amazon EMR
amazon KINESIS
APACHE ACTIVEMQ
Apache Pig
Apache Spark
elasticsearch
hadoop
cloudera IMPALA
kafka
kibana
nosql
Power BI
QlikView
