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…. turning on your light switch (best for XMPP) is worlds apart from generating that power (DDS), monitoring the transmission lines (MQTT), or analyzing the power usage back at the data center (AMQP)…. http://electronicdesign.com/iot/understanding-protocols-behind-internet-things
There exists an almost bewildering choice of connectivity options for electronics engineers and application developers working on products and systems for the Internet of Things (IoT) … http://www.rs-online.com/designspark/electronics/knowledge-item/eleven-internet-of-things-iot-protocols-you-need-to-know-about
…it’s essential that you select a wireless method that matches the device and its surrounding environment … http://electronicdesign.com/iot/12-wireless-options-iotm2m-diversity-or-dilemma
a BaaS provider typically enables you to store your data & interact with other critical services in normalized manner - http://www.developereconomics.com/finding-right-baas/
Developers love the BaaS approach because eliminates redundant stack setup and boilerplate repeat code, and everything is in one place.- http://nordicapis.com/why-you-should-build-apps-with-an-api-backend-baas/
The backend consists of two primary components: application business logic and data processing/management. - https://backendless.com/what-is-backend-as-a-service/
Open Source vs. Commercial MBaaS – Which is Right For You? - http://www.mportal.com/open-source-vs-commercial-mbaas-right/
While Backed-as-a-Service (BaaS) – and their stepbrothers PaaS – offerings should sensibly support various domain-specific data models for the application they support, these services are inherently built on a ‘meta’ data model. - http://maxrohde.com/2014/09/09/a-comparison-of-data-models-in-baas-backend-as-a-service/
As more data sources get added over time, data volumes increase, data quality decreases, data redundancy occurs and self-service maintenance pains begin to surface. Then reporting inaccuracy issues start to creep in and undermine credibility of your self-service BI project. - http://www.jenunderwood.com/2015/09/11/self-service-bi-fantasy/
Data quality, master data management, metadata management, data warehousing architecture and data integration: These are all pieces of the data management puzzle, but rare is the enterprise that has assembled these pieces into a cohesive and coherent picture. Get it right and you can count on clean and consistent data from transaction systems and reliable insight from business intelligence systems. - http://www.informationweek.com/software/information-management/10-tenets-of-enterprise-data-management/d/d-id/1095935?page_number=1
As the world moves towards an ever increasingly data-centric outlook, businesses must find ways to ensure that they have access to the best data available to assist them in decision-making. While analyzing and visualizing data to build business intelligence has always been a key aspect of decision making, the sheer amount of available information currently being generated brings on unique challenges. - http://www.blog.ze.com/2014/08/zemas-three-layers-of-enterprise-data-management/
In order to make timely business decisions, companies spend a lot of resources creating viable decision support systems. In the same way that fuel quality impacts engine performance, the supply and quality of data directly influences a company’s decision-making engine and affects the outcome of business operations. - http://www.blog.ze.com/2015/05/the-top-5-challenges-for-data-management/
“… provides the requisite, yet somewhat unnoticed, function of data collection, translation, classification, indexing and storage. It’s the ‘plumbing’ part of data-driven marketing online.” - http://blogs.gartner.com/martin-kihn/data-management-platform/
In another presentation, Cargill shared their Analytical Framework Roadmap around technology and operational models for analytics. It consists of ZEMA system for data collection and validation, and Spotfire to build predictive models and interactive dashboards. - http://www.tibco.com/blog/2015/09/29/using-data-for-competitive-advantage-in-oil-gas
“Intelligence is the attribute of the human mind and has nothing to do with software. Correct terms are Data Visualization, Data Analytics and Visual Analytics.” - https://apandre.wordpress.com/market/dvandbi/
“
If the quantity of information is increasing by 2.5 quintillion bytes per day, the amount of usefulinformation certainly isn’t. Most of it is just noise, and the noise is increasing faster than the signal. There are so many hypotheses to test, so many data sets to mine—but a relatively constant amount of objective truth.” - http://www.perceptualedge.com/blog/?p=2097
The Data Visualisation Catalogue is currently an on-going project developed by Severino Ribecca. - http://datavizcatalogue.com/
“
To make the tedious task of making beautiful charts and maps easier, I’ve made the list of best tools available for the job. I’ve divided the list into two parts; first covers the tools that require coding and are meant for developers, while the second list contains tools that don’t require any coding.
”- http://thenextweb.com/dd/2015/04/21/the-14-best-data-visualization-tools/
“
Talk: How to Visualize Data
” - https://eagereyes.org/talk/talk-how-to-visualize-data
A short presentation about data evolution based on my understanding
Choosing the right tool for the job at hand is 80 percent of getting to a solution; the other 20 percent is really understanding the problem you’re trying to solve.
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