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
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.
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.
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.
The reference architectures of the past (i.e. client-server, web application, SOA services) are not adequately addressing current business demand, use cases, and expectations. IT must update reference architecture models to remain relevant and effective.
Often outdated processes, tools, and skills inhibit IT’s ability to be a strategic enabler and gain an IT business edge. By adopting a new, Responsive IT delivery model based on an updated reference architecture, teams can foster effective business collaboration, responsive iterations, streamlined processes, and no wait states; enabling business to operate at the speed of now.
What reference architecture goal-state is required to meet business demands and expectations?
A reference architecture should enable internal and external business service consumers, address future IT strategies, and transition current IT infrastructure and team skill sets. Do you have a seven step plan describing how to reshape your reference architecture?
A three part slideshare series outlines why reshape reference architecture, what reference architecture models make sense today, and how to reshape reference architecture.
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.
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.
Looking to reshape your IT value proposition, and feel legacy application platform, service infrastructure, or integration infrastructure is holding you back? Let’s talk about how the WSO2 advantage can transform your projects’ experience. What our your goals, challenges, and constraints?
When building a plan for 2014, consider:
- Re-shape Enterprise Architecture
- Re-invent the Integration Platform
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.
Srinath has written a decision framework explaining when to choose a specific data storage alternative (i.e. relational database [RDBMS], key-value system [BigTable], column family [NoSQL], document based system).Â The decision model explains four constraints (i.e. type of data, scalability, consistency, and supported queries), and describes how the constraints impact the storage choice.
You an view the presentation here.