MCAP - Big Data Analytics

mLogica’s MCAP is a state-of-the-art Big Data platform providing ultra-high speed loading, cross correlation and advanced analytics of Big Data in near real-time. MCAP can analyze structured, semi-structured, and unstructured data, from multiple disparate sources in order to meet commercial, government and regulatory requirements.

Rethinking Big Data Analytics

Scalability – Data volumes will continue to grow especially considering that the number of handheld devices and Internet-connected devices is growing exponentially

• Larger, more efficient systems are required to handle massive amounts of Big Data

Speed-of-Light Big Data – Speed and approachability are key requirements in Big Data analytics

• Legacy systems do not provide near/real-time analytics; actionable intelligence must be received in time

Machine Learning – Analytics need to be improved

• Making accurate predictions requires rapid and “automatic” generation of evolving predictive models

Artificial Intelligence – Organizations require prescriptive analytics to find the best course of action for a given situation

• Autonomous Agents including robots, autonomous vehicles, virtual personal assistants, and smart advisers will accelerate the volume and velocity of data

MCAP Disruptive Influence

• Loads 136 TB per hour = 3.3 PB/day = 23 PB/week
• 10 to 100 times faster than traditional Big Data vendors
• Scales from < 100 Terabytes to 100s of Petabytes
• Integrate 100’s of data sources
• Ad-hoc queries response time is in seconds or sub-seconds
• Provides multiple security levels
• Enables “smart” space-based communications

MCAP is a Big Data Analytics Platform with an ultra-high performance database and Big Data middleware that is fully installed, configured, tested and managed.

• Best-of-breed compute, network, and storage technologies
• High performance data ingest and query speeds
• Ultra-high speed reporting and analytics
• Lower cost per TB than any other Big Data Vendors at scale
• Short time-to-market – arrives configured and tuned
• No need for custom infrastructure coding
• Advanced analytics and predictive algorithms with SQL and R
• Near real-time (Human Interaction Response Time) reporting