Today’s IoT environments are a potential rat’s nest of asynchronous craziness just waiting to happen
Stories by James Kobielus
The high-end data warehousing wars are fast upon us. Vendors are launching ever more scalable DW solutions. And they're delivering them with more aggressive -- and slippery -- performance claims.
Databases are evolving faster than ever, becoming more fluid to keep pace with an online world that's becoming virtualized at every level.
Analytic databases are the principal engines driving business intelligence, delivering operational data into reports, dashboards and ad-hoc queries.
Modern economies are hypochondriacs of the highest order. They check their own pulses at obsessive intervals, searching for symptoms of weakness, ever ready to fend off decline through stimulants that may or may not help the situation.
Complex event processing has a sleek, shiny, space-age allure. CEP has been blinking on the IT industry's "next big thing" radar for quite a while, promising business agility through continuous correlation and visualization of multiple event-streams.
Ubiquitous semantic interoperability is like world peace: It's a goal so grandiose, nebulous and contrary to the fractious realities of distributed networking that it hardly seems worth waiting for.
Collective intelligence is an organization's most precious asset. It's what makes the difference between a successful enterprise, one that can pool its expertise to address common opportunities and threats, and a competitive also-ran.
Business battles are fought in real time, and IS must keep pace. Real-time business intelligence infrastructures promise a never-ending stream of fresh information, insight and decision support to frontline knowledge workers.
Service oriented architectures continue to capture attention; at the same time their complexities need managing.
Enterprise service bus is the most promising new middleware approach. ESB generally refers to integration software that supports simple, expedited, loosely coupled, standards-based, service-oriented integration. It also refers to a segment of the middleware market that converges the best features of message-oriented middleware, integration brokers and Web services.
Fundamentally, SOA is a development methodology that encourages sharing of remotely invocable application functions throughout networks. It's a way of doing more with less, where applications can be built more quickly and incrementally, with fewer lines of original code.
Middleware is spaghetti that just keeps looping and layering new approaches over old. The industry keeps ladling more sauce over the mess, in terms of such nebulous nomenclature as enterprise application integration, enterprise information integration, business process management and message-oriented middleware.
Microsoft's recent overtures to SAP should come as no surprise to anyone who's followed either vendor. Each company covets the other's market. Microsoft is evolving into a more complete vendor of ERP and other business applications. SAP has become a full-fledged Web application and integration platform vendor, in addition to strengthening its core ERP, CRM and supply-chain management application suites.
The most interesting story from Microsoft's recent Professional Developers Conference wasn't the vendor's future Longhorn operating system, but rather, Microsoft's shift away from two preoccupations of its recent past: .Net and Web services.
- Automation Test Analyst NSW
- Payments Business Analyst VIC
- Junior to mid-level - Business Analyst ? Agile QLD
- Security/ Penetration Test Analyst QLD
- IT Security Support Officers Other
- The job "Automation Test Analyst Guidewire " is now Expired QLD
- Change Manager NSW
- Security Cleared Network Engineer ACT
- Scrum Master - Brisbane NSW
- Business Project Manager NSW
- Free Whitepaper! The 5 criteria to help you select the right analytics platform for your organization.
- Free Whitepaper! Learn how to create an analytics environment that is governed, scalable and self-serve.
- Free Whitepaper! Learn how IT is evolving from producer to enabler, and fostering collaboration around analytics.