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Cloud Education Google Internet2 Network Reading Technology WiscNet

Latest read: Reliability Assurance of Big Data in the Cloud: Cost-Effective Replication-Based Storage

While focused on the task of generating data for astrophysics Reliability Assurance of Big Data in the Cloud is a worthy read when focused around designing cloud service contacts.
Reliability Assurance of Big Data in the CloudThe work of authors Yang, Li and Yuan surround capturing big data reliability, and measuring disk storage solutions including from noted cloud vendors.

Their work at Centre for Astrophysics and Supercomputing at Swinburne University of Technology focused on reducing cloud-based storage cost and energy consumption methods.

They also share the impact of multiple replication-based data storage approaches based upon Proactive Replica Checking for Reliability (PRCR). That was very interesting in their research data gathering.

I found Reliability Assurance of Big Data in the Cloud also supports moving data into the cloud across advanced research networks including Internet2.

Processing raw data inside the data center impacts network models (based upon available bandwidth) in their work. Their research gathers and stores 8 minute segments of telescope data that generates 236GB of raw data. By no means in the petabyte stage (yet) but it still sets a solid understanding of contractual demands on big data cloud storage.

My interest peaked around impacts developing knowledgeable contracts for cloud services. Their background regarding data gathering and processing should influence procurement contract language. This is even more applicable when applied to petabyte data sets and the SLAs regarding data reliability requirements. Never leave money on the table when scaling to the petabyte range. Must read for purchasing agents and corporate (and university) CPSMs.

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Education Innovation Reading Technology Vietnam War

Latest read: No Sure Victory

In many ways my desire to understand the US failure in Vietnam has been a long difficult road. No Sure Victory: Measuring U.S. Army Effectiveness and Progress in the Vietnam War by Gregory Daddis answers many long held questions.
no sure victoryAfter digesting so many resources in books, documentaries and listening to interviews with veterans, politicians and social leaders during the long duration of the war.

I believe No Sure Victory reveals strong indicators regarding our failure in Vietnam. The focus is the failure of MACV to gather and process data against an established set of Key Performance Indicators (KPIs) over the long duration of this war.

Daddis documents McNamara’s injection of data gathering (metrics) when LBJ increased America’s commitment to South Vietnam. McNamara’s experience as one of The Wiz Kids seemed to set the stage in his role as Secretary of Defense. Yet our enemy was determined and battle tested. America was fighting a larger, strategic cold war with an emerging China and the established Soviet Union in both Europe and Asia.

Daddis sheds light throughout No Sure Victory not only on the lack of White House direction but how MACV leadership could not adapt to fighting a war of counterinsurgency. The impact of this television war confused the government, media and our country. At the same time Daddis points to key failures in not understanding the full affect of the French Indo-China war regarding counterinsurgency. This lack of understanding established a crippling third leg the US consistently fought to balance against the cold war political spectrum.

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Design Education Innovation Network Reading Technology

Latest read: The Data Science Handbook

The recent pre-release of The Data Science Handbook is a fast, easy read. There is nothing better in business today than the still exploding market of data science. While some marketing statements indicate many are trying data science, here are the voices of recognized data science leaders. I have read my share of data science and big data books as well but like the direction of this pre-release.

The Data Science Handbook Pre-ReleaseMaturing technologies like Hadoop and even MapReduce prove yesterday was the time for every organization, business unit and non-profit to understand how data science is fundamentally changing the game.

Data Science hits your data sweet spot due to the ability of large systems to process your data in real-time. Notice how Microsoft is acquiring data science companies?

Data Science was just in its early stages not more than 10 years ago. Yahoo and Google helped move this forward. Even “legacy” companies like Sears Holdings understands the impact of MapReduce and Hadoop, they are well outside Silicon Valley. Just wait until some great advancements for public health are established by non-profits as a result of implement data science to forecast their business.

There is a great deal of excitement as the full release publication date inches closer. Cannot wait to see this book ship.

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Education Innovation Reading Technology

Latest read: Rework

Rework is a welcomed aggressive view of business today. Last year 37signals reorganized. Today the company is simply known as BaseCamp, their top selling product management cloud service. Rework is proven look at business in the Age of Attention.
ReworkThe best line in Rework that made me laugh out loud was Jason describing how you can get by with small things…he described how inmates carve shivs in prison. Perfect example but his follow up statement “I’m not telling you to carve a shiv” Hilarious.

Goodreads maintains a quote page for Rework. If your considering the book take a look for the little nudge to get you over the edge.And yes Jason nails it: Meetings are toxic, He suggests a few proven solutions.

This is an energizing read for millennials who need to understand that mature business models and the people who drive them come from a different time, have invested in ‘the system’ and are now using it to their advantage regardless of how the world works today. While the book is also clearly aimed at entrepreneurs, Jason addresses them as Starters instead.  He has a good idea about that term. This book is a quick read packed with lots of common sense that we forget in our busy lives.  Jason helps refocus your efforts.  Its worth the read.

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Cloud Education Innovation Network Reading

Latest read: Disruptive Possibilities

There can be no doubt today that Big Data has changed everything. Jeffery Needham has written a great book Disruptive Possibilities: How Big Data Changes Everything. Its all about the impact of Hadoop in the cloud as the ultimate computing platform.

Disruptive Possibilities: How Big Data Changes EverythingI was very pleased reading his work when I found his personal story at the end regarding the application of Hadoop in neuroscience as a method to address Sturge-Weber Syndrome. We know it as having a port wine stain on your face.

His story made me appreciate his desire to throw Hadoop at the datasets that may one day reveal a cure for this syndrome. I am amazed at how he described reteaching himself not only how to walk down a hallway, but train his body to hit a baseball after losing vision in his right eye.

My favorite segment of Disruptive Possibilities is chapter five: When Clouds meet Big Data. Needham also makes a very easy read in chapters one to four where he lays the foundation based upon his deep experiences with Hadoop. And yes you can run Hadoop off laptops found in a dumpster.

There is much to learn in university circles about the impact of Disruptive Possibilities and Hadoop.  Worry not its not the computing or research units that I am thinking about but rather HR, Admissions and just about every other campus unit that would benefit from moving their data into a Hadoop cluster in order to data mine their future.