Tag Archives: Big Data

FedRamp

Federal Systems Integrator Advantage

AppFactory, Data Architecture, Identity, Open Source, Platform as a Service, ,

A system integrator serving the U.S. Federal government market is reviewing next-generation architecture components and middleware platform technology, leading best practices, and vendor support.  The goal is to provide the system integrator with a competitive edge in re-competes and new project wins.  The desired middleware infrastructure platform will reduce development and run-time operation cost by at least 25% when compared with incumbent platform offerings.

According to the U.S. Government Accountability Office (GAO),

For decades, DOD has been attempting to modernize about 2,200 business systems, which are supported by billions of dollars in annual expenditures that are intended to support business functions and operations.

Can government IT programs and projects increase their  efficiency and reduce expenditures?   A new software delivery paradigm is required.

WSO2 is an open source middleware vendor with innovative components that help teams obtain repeatable agile delivery and adopt SOA & DevOps best practices leading to faster program spirals. Additionally, WSO2’s middleware infrastructure platform delivers high performance at high transaction rates while securely capturing, streaming, transforming, analyzing, and presenting mission information.

The system integrator is exploring three specific focus areas:

  • Information Hub Attribute Based Access Control
  • Enhance mission situational awareness and improve information transfer efficiency
  • Deliver High Quality Solutions on Faster Spirals

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Big Data Blocking and Tackling

Data Architecture

Are you practicing Big data blocking and tackling actions?   Ron Bodkin (@ronbodkin) penned a good post describing the value of having information in one place; the mantra of data warehouses and data marts.

While Hadoop makes it easier to warehouse data (due to flexible schema model), effective analytics across disparate data sources still requires defining data semantics, data mapping, and master data sources. Don’t forget these important foundational building blocks.

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soccer field

Tracking Soccer Game Play with Big Data Streaming, Internet of Things, and Complex Event Processing

Data Architecture

Teams gain a competitive edge by analyzing Big Data streams. By using complex event processing and MapReduce based technologies, teams can improve performance. By establishing a feedback loop, your team can visualize business activity, understand impact, and take positive actions.

 

Big data Life Cycle

One powerful Big Data streaming example, soccer match activity data captured by embedded sensors were streamed and analyzed to understand how player actions impact soccer play.

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What is Operational Intelligence

Connected Business, Data Architecture, IT Business, wso2, , ,

Operational intelligence enables an adaptable, connected business.   Connected business’ grow revenue, optimize spend, and increase opportunity by gaining visibility and insight into business operations.    Operational intelligence platforms analyze streaming data feeds, event data, and temporal patterns to deliver dashboard visibility, automated operational actions, and operational recommendations.  Connected business teams react to operational intelligence feeds, adapt business activity, and gain business advantage over their competition.

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WSO2 Big Data Platform

WSO2 Big Data Story

Data Architecture, wso2,

The Big Data Story was rejuvenated by open source, and the WSO2 Big Data Story integrates Big Data with SOA, integration, Cloud, and applications.

Why build a Big Data Platform?

CIOs, IT leaders, and business teams who separate business signals from transaction noise can transform business operations into a proactive, collaborative model that increases customer-centric interaction, streamlines partner coordination, and enhances revenue growth.

WSO2’s Big Data Analytics platform captures business activity across multiple data formats and message channels, performs temporal complex event processing and map-reduce analytics, and presents relevant, real-time business alerts and dashboards to enable timely operational management and business planning.

WSO2 Big Data Analytics Platform enables an API-centric architecture, enhances business visibility, Contextual Web, and helps build an adaptive business.

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Use Little Data analytics and make better business decisions

Data Architecture,

The University of Central Florida Business Incubation Program hosts CIO Community of Practice meetings, which provides a Big-Enterprise view of leading technology focus areas.  CIOs and key IT representatives from leading Central Florida companies including Darden Restaurants, Harris Corporation, HD Supply, Siemens PG, The Boeing Company, and Walt Disney World Company met this week to discuss Big Data and analytics.

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Use Business Activity Monitoring and Gain Business Visibility

Application Platform, IT Business,

Many organizations struggle to understand how their business performs.  In an attempt to gain operational visibility and situational awareness, teams have created multitude reports, spreadsheets, key performance metrics, portals, and dashboards. Business analytics attempts to increase event correlation, enhance presentation, and increase business insight, but analytics often does little to increase real-time visibility.  In between weekly, monthly, or quarterly analytic execution cycles, business managers guestimate how to increase supplies, adjust marketing campaigns, offer sales discounts, or hire additional resources.

 

Create a Comprehensive Business Visibility Environment

Business Activity Monitoring (BAM) and Complex Event Processing (CEP) augments business analytics by contributing a high performance data capture framework, in-stream event correlation, alerts and notifications, knowledge mapping, flexible data storage, scalable Big Data processing, and real-time dashboards.  By readily composing advanced middleware capabilities into a unified solution, teams are able to enhance information relevance and improve informational delivery.  The middleware enables filtering, aggregating, mapping, and reducing large, multi-faceted datasets over greater temporal ranges with analytical processes composed using statistical languages, event correlation languages, and MapReduce script languages.

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