The volume, diversity, and speed at which data flows into organizations are reaching unprecedented levels.
Big Data is generated automatically and cost-effectively from various sources including:
- Text
- Blogs
- Financial and non-financial transactions
- Sensors
- Point-of-sale scanners
- GPS-enabled cell phones
- Devices in homes and cars
- Wearable health trackers like Jawbone and Fitbit
- Radio-frequency identification (RFID) tags
- Barcode and QR code data
- Content from social media platforms
- Text, image, audio, and video formats
- Internet browsing and search activities
Data comes in two primary formats: structured and unstructured. Structured data follows an organized data model, such as rows and columns in a relational database, while unstructured data lacks pre-organization, such as text or images.
The advantages of Big Data analytics include:
- A new competitive edge through better insights
- Enhanced decision-making processes
- Identification of hidden patterns and correlations
- Risk mitigation and discovery of valuable insights
- Improved customer segmentation for targeted marketing
- Enhanced supply planning and product quality in manufacturing
- Early detection of fraudulent activities in finance
- Improved learning outcomes in education
- More effective and economical healthcare treatments
- Enhanced provider efficiencies and patient outcomes in healthcare
Our services include:
- Structuring data for meaningful insights
- Statistical analysis to derive insights
- Development and deployment of applications for actionable insights
Our technical expertise covers:
- Big Data analytics and the Hadoop ecosystem
- Database expertise including NoSQL and NewSQL
- Tools such as Hadoop, Hive, MapReduce, Sqoop, HBase, Oozie, Nagios, Ganglia, Flume, Pig, Pentaho, Tableau, Chartio, Mahout
- Big Data implementation for performance, scalability, and redundancy
- ETL processes for structured, semi-structured, and unstructured data
- Log management and reporting integration
- Implementation of open-source and commercial data analytics
- Warehouse services and computational platforms for analytics
- Map-reduce jobs, recommender systems, predictive analysis, data archiving, and purging
PRAGMAA offers a team of Big Data engineers, data scientists, and developers available on a project basis, whether on-site, remote, or offshore.