Big Data, Data Science and Artificial Intelligence

Data Transfer

  • Sqoop
  • Flume
  • Kafka

Data Processing and Access

  • MapReduce
  • Spark
  • Storm
  • Samza
  • Elasticsearch
  • Pig
  • Hive
  • HBase
  • Cassandra
  • Neo4j
  • MongoDB
  • OpenTSDB
  • InfluxDB

Configuration Management and Monitoring

  • Apache Warehouse

Data Management and Storage

  • HDFS

Work Scheduling

  • Oozie

Data Lifecycle Management

  • Apache Falcon


Apache Warehouse

IPython Notebook

STM OVERA Big Data Analytics Platform supports Batch Data Processing + CUDA infrastructure running on Hadoop YARN. It has a scalable HPC infrastructure and has Mobile Data Processing Capability to run Machine Learning and Data Science algorithms on the Big Data Analytics Platform.

By providing the Internet of Things infrastructure, STM OVERA supports MQTT and COAP protocols with Maximum IoT Communication Protocol Support, DIM data processing and query capability.

STM OVERA offers support for 34 different visualisation platforms:

PolyMaps, NodeBox, Flot, Processing, PRocessing.js, D3, Tangle, FFChartWell, GoogleMaps, Raphael, LinkScape, Leaflet, CrossFilter, OpenLayers, Kartograph, Modest Maps, Gephi, Flare, Envision, Miso, TimeLineJs, Tableu, Quadrigram, Prefuse, Many Eyes, CytoScape, NetworkX, ArborJs, iCharts, DataBoard, Dapresty, JoliCharts, VisualizeFree, Lumify.

STM OVERA includes products that can serve in the following four main areas and services that can be provided to institutions within the scope of these products:

  • Data Management Infrastructure
  • Data Organization and Transfer Operations
  • Analytical Services
  • Decision Support Services

STM OVERA has an infrastructure that can work in many different sectors such as energy, finance, smart city and health.

STM OVERA includes the necessary protocol support and architectural components for data analysis by collecting data from any data source:

  • Text files
  • Relational databases (Oracle, MSSQL, MySQL, PostgreSQL etc.)
  • Non-relational databases (NoSQL)
  • Fluid data sources (IoT protocols such as MQTT, CoAP, log files etc.)
  • Image and video sources

Main Service Areas

  • Data Science
  • Cyber Security
  • Swarm Intelligence
  • Sound Processing
  • Image Processing
  • Video Processing
  • Civil Aerospace
  • Image Processing (Multi/ Hyper Spectral Img. Processing)
  • Inventory and Material Information
  • Business Analytics
  • Data Visualisation
  • Data Fusion

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