mLogica Thought Leaders: What is CAP*M Complex Event Analytics?

In our last blog, Big Data - Bigger Insights – Better Results – How Can Your Business Tap into Its Value, we discussed the upsurge in multi-format data coming into businesses from an ever-increasing array of sources including the internet, social media, videos and connected devices. Many organizations are simply not equipped to ingest, much less process and fully leverage this firehose of information, putting them at serious competitive disadvantage.

In sharp contrast to traditional, legacy databases, mLogica’s CAP*M Complex Event Analytics (CEA) is a unified, consolidated platform with ultra-high-speed ingestion capabilities that can process vast amounts of data sets for near-real-time analysis that produces actionable insights. CAP*M CEA converged analytics executes petabyte-scale complex event analytics and information processing at unprecedented scale and speed. Its layered architecture and comprehensive validation approach create a high-quality, flexible and scalable data analysis environment, helping enterprises make timely, strategic decisions.

Complex event analytics is a data analysis architecture that helps users process incoming data streams in real time. But what is a complex event? It’s a piece of information, a file, etc., with a large number of associated metadata. Metadata, essentially “data that describes data,” can include the file’s author, the date the file created or modified and the size of the file.

For example, a telecommunications business’s environment contains huge, diverse data sets, including metadata such as the subscriber who generated the data, their phone’s location, the data type, the time images, videos or emails were sent, underlying protocols and more. Thus, what seems to be a simple piece of data like a phone call, or an emailed photo becomes a complex event.

This high volume of information requires a more efficient architecture to analyze and interpret its meaning. mLogica’s CAP*M CEA solution analyzes and processes metadata to make incoming information actionable faster and provides the lowest-level granularity to help users understand their underlying meaning.

Layered Architecture

In the quickly changing world of technology there are a number of options for data management, including the data warehouse; data lake; the Lakehouse, a hybrid lake/warehouse, and the complex events analytics (CEA) platform. Determining the best option for your unique business needs can be complicated. But when it comes to exploiting petabyte-scale data streams, what sets complex event analytics apart is its layered architecture.

Complex event analytics is built on layered architecture, with distinct stages for data processing and analysis. Each layer serves a specialized purpose, using resources based on the unique requirements of the business or organization. By providing a degree of clarity and separation between various architectural layers, a platform like mLogica’s CAP*M CEA architecture gives users more precise control over how their data is handled and analyzed.

This layered design offers users the granularity to analyze incoming data and make accurate decisions in near-real-time. Complex event analytics captures data at the lowest granularity, enabling users to derive in-depth insights for specific use cases and making it easier to perform data analysis and reporting.

Scalability Offers Speed and Efficiency

Another key feature of complex event analytics platform architecture is scalability, which helps businesses support petabyte-scale data ingestion and processing while ensuring speed and accuracy. With independent components deployed across configurable processing nodes, CAP*M CEA enables dynamic horizontal and vertical scalability allows the entire system to support surges in data streams and storage requirements in real time.

In our Surveillance use case, CAP*M CEA auto-scales according to fluctuating capture device output adding capture and processing layers instances as the number of events grow from perimeter incursions.

CAP*M CEA scalability features:

• The number of processing nodes and instances in each layer does not affect any other layer
• The number of processing nodes at each layer can be expanded as needed
• Unlimited number of processing instances on every layer

The Value of Layered Architecture and Scalability

CAP*M CEA’s layered architecture and scalability empower users to efficiently manage massive volumes of data, including the smart distribution of resources among multiple layers. By precision-allocating these resources, each layer can effectively manage its own workload without running the risk of overloading the overall system or affecting the development, deployment and performance of the entire system.

Completely Customized for Your Unique Requirements

Sectors including manufacturing, financial services, energy and utilities, healthcare and public sector entities such as social security agencies, border security and defense, agriculture, tax authorities and more have unique business and regulatory requirements. Custom-designed not only for each customer, but for each use case, mLogica’s CAP*M CEA encompasses all layers and components required for each organization’s unique data processing and analysis needs.

The Final Analysis…

Today, when businesses are deluged with information from diverse sources, legacy IT infrastructure is increasingly overwhelmed by the sheer volume and velocity of data. CAP*M CEA lets users perform dynamic complex event analytics fast for and just in time actionable insights.