wikibon
wikibon editors improve the brevity, clarity, and grammatical and spelling accuracy of wikibon text and graphics. these editors work together to establish and ensure consistency with wikibon style rules .
wikibon is sound business. wikibon will help you build your reputation and your consulting practice. by accessing wikibon tools, templates, expertise and community, you will grow professionally and as an individual .
wikibon is a place where you can meet and collaborate with other professionals to get work done. wikibon is good, safe, challenging and fun .
about wikibon wikibon is a community of business technology practitioners founded to deliver the most actionable and real - time information available in the marketplace. the wikibon analyst team comprises expertise cutting across all facets of business technology, with a cross - functional focus on cloud, big data / analytics and infrastructure. wikibon research methodologies heavily leverage traditional approaches and advanced social media and data analysis techniques. to learn more about wikibon, go to urltoken. follow us @ wikibon .
this document answers several frequently asked questions (faq) regarding publishing to wikibon .
wikibon was founded on a community approach to developing and publishing research. the original site, wikibon. org, was designed as a wiki, allowing community members to edit and add to the published research. that community participates in wikibon surveys .
wikibon is a professional community that shares advisory knowledge to solve technology and business problems .
wikibon is different than most sites in many ways. first, the founders of the wikibon project have mentored and trained several hundred analysts over the course of twenty years and are making their writing templates and how - to expertise widely available to the wikibon community .
wikibon drops bomb, says intel' s optane could be a flop... tane
in response, we’ve launched wikibon premium - a subscriber - only site within wikibon that delivers the most in - depth and valuable research to clients. much of what we produce here will be summarized on the main wikibon site. however greater access to our detailed analysis will only be available to premium subscribers .
while anonymous posting is acceptable, wikibon encourages authors to
sign
their work. signing work makes it easier to forge collaborative relationships with other wikibon authors or consumers, track contributions, and rate work .
wikibon is a professional community solving technology and business problems through an open source sharing of free advisory knowledge .
wikibon’s content is open source and freely available to anyone. we derive our income from three primary sources :
a wikibon producer is an individual that takes existing wikibon content and re - purposes it to some other language, form (e. g. video or audio), presentation style, navigational structure, or functional domain .
wikibon is open. anyone can edit wikbon and you won' t find restrictive rules claiming ownership to your work .
wikibon cannot guarantee with 100% certainty that every piece of information is accurate. however, the vast majority of information in wikibon is written or reviewed by knowledgeable experts in a particular field. information in wikibon is constantly being updated by the community. from time to time, vandals will purposefully try to taint articles. wikibon volunteers monitor the content of the site and fix problems as they arise, often within minutes or hours. the software wikibon uses alerts monitors when changes are made to articles and it is very easy, with the click of a button, to revert back to an earlier version of an article. so unlike physical vandalism, fixing wikibon subterfuge is much faster than the heinous act itself .
embed this infographic < a urltoken > < img urltoken alt = ”public versus private cloud computing” width = ”800″ border = ”0″ / > < / a > < br / > via: < a href = ”http: / / wikibon. org” > wikibon < / a >
embed this infographic < a urltoken > < img urltoken alt = ”what is cloud computing? ” width = ”800″ border = ”0″ / > < / a > < br / > via: < a href = ”http: / / wikibon. org” > wikibon < / a >
embed this infographic < a urltoken > < img urltoken alt = ”the rapid growth in unstructured data” width = ”970″ border = ”0″ / > < / a > < br / > via: < a href = ”http: / / wikibon. org” > wikibon < / a >
embed this infographic < a urltoken > < img urltoken alt = ”what is the enterprise stack? ” width = ”970″ border = ”0″ / > < / a > < br / > via: < a href = ”http: / / wikibon. org” > wikibon < / a >
anything written on wikibon can be used by anyone for any commercial or non - commercial purpose. wikibon doesn' t impose restrictions on the use of content submitted by the community. it' s yours - - use it as you see fit. but please keep it ethical and clean .
wikibon is the research arm of siliconangle media. wikibon publishes analysis on urltoken and siliconangle. com. wikibon sells subscription services and from time - to - time gets paid to publish content that is underwritten by clients. clients pay for the data - gathering effort but not the analysis and clients have no control over content created by wikibon analysts. in the past, wikibon did not disclose when data gathering was underwritten. our policy was such that clients did not get to see the written analysis until it was made public by wikibon and any comments or changes (when warranted) were made under public scrutiny. however, we felt this approach was too opaque and have subsequently changed our policy. going forward, content created from underwritten projects clearly discloses this fact. as well, underwriters are now allowed to review the content prior to publication, but only for technical and pricing accuracy .
data. we integrate and package data and information products based on knowledge derived from the wikibon community. we sell this data as an annual service .
wikibon is a place to gain and share knowledge about business and it. wikibon is an open community where you can read, write and collaborate on a range of topics. if you are passionate about a subject, you can meet other experts and create world - class research and how - to advice. wikibon can help you get smart on a topic, hone your writing and analytic skills, build a reputation with a global audience and have fun !
a wikibon article or' note' can take from minutes to hours to research and write. the simplest form of article is a forum entry. a wikibon professional alert is typically less than 150 words and often takes several minutes to a half hour to write. a wikibon how - to note ranges from between 1, 500 - 5, 000 words and can take between 6 to 20 hours (often having multiple authors contributing) to fully research, write, edit and publish .
to find out more about the report' s detailed contents, go to this web page, where you can log in if you are a wikibon user. ®
wikibon is made up of a growing community of experts, practitioners consultants and writers from every part of the world and includes users, vendors, consultants and practitioners .
wikibon uses simple to use but powerful software powered by mediawiki, an open source wiki platform. the help link is a place to find useful hints and tips .
you can utilize the search box. type the article or phrase you want and hit either' go' or' search.'' go' is a verbatim search and' search' looks for instances of the phrase entered in the search box. the wikibon portals also contain a hierarchical structure listed by major categories. search in wikibon is case sensitive .
according to research by wikibon, hard disk drives (hdds) have another ten years until they are completely replaced by solid state drives (ssds) as a primary storage medium .
wikibon was launched by former executives of gartner, meta, idc and giga. the firm hosts regular phone meetups called peer incite research meetings which are interactive forums available to all members .
this data is current as of november 2011. wikibon has more than 15, 000 registered members. the membership is predominantly made up of business technology professionals and breaks down as follows :
when you created an account for wikibon your username was automatically logged in the database and added to the userlist. to create a page, you still need to take a couple more steps :
a wikibon how - to note is a piece that is structured according the the wikibon how - to note standards. its emphasis is on how to get a business or it capability delivered. a how - to note focuses not only on
what it is and how and works
but
how to do it
with details about major milestones and actions in the analyze, design and deploy phases of a project .
who: the 2015 future of cloud computing survey is sponsored by north bridge and wikibon with the support of more than 35 collaborators (full list below), who have contributed, endorsed and will distribute the survey .
requests started to pour in for more detailed information – such as forecasts, economic models, survey data and other detailed information, which required greater investment than was possible with the existing wikibon funding model such as forecasts .
watch wikibon chief analyst dave vellante discuss video surveillance industry trends and the requirement for an open and flexible architecture. find out how the emc video surveillance offering has been tested and validated to be a trusted solution for customers .
created page with' note that as of early 2015, all new content is now on urltoken wikibon. com ] research from the wiki has also been moved to the new site. see the new sites...'
while obvious, i think it’s important to state that siliconangle media is a for - profit organization. siliconangle media’s business model depends substantially on sales of its products and services to technology sellers who we refer to as clients. we have three sources of revenue: 1) thecube live and on - demand tv; 2) wikibon research and 3) digital experiences that aggregate content from thecube, wikibon and other properties, and distribute that content to targeted communities .
wikibon is fun. you pick a topic, float original ideas, get feedback from your peers, help others improve and create a content agenda that can be applied in many ways - - commercially or for any purpose you choose .
the difference from the previous 2015 and 2014 reports is that wikibon
now expects the hyperscale cloud market and the enterprise storage market (enterprise server san and traditional storage) to be roughly similar by 2026 at $ 27 billion each .
the wikibon / siliconangle team produce live video coverage of popular enterprise technology events like emcworld, strata conference, and hadoop. the end result is a series of video, blog post, and research assets from contributing members of their team .
the wikibon chart seems realistic in an intuitive sense. nutanix leads, followed by vmware with vsan, and then emc with scaleio. considering that emc is now making much of vxrack and rail, we can readily envisage dell / emc being in the lead when the next issue of this wikibon report comes out. hpe is in fourth place with its vsa, and then simplivity is number 5, with just 6 per cent of the market compared to hpe' s 12 per cent .
wikibon regards anyone that posts substantive, idea - based content to to be an
author .
this includes anyone who writes a how - to article, a professional alert or in some other way constructs and contributes idea - based content .
the august 2016 wikibon report
server san readies for enterprise and cloud domination
repeats the message of its server san research project 2014 report, saying that
storage is moving inexorably from traditional storage arrays to server san in a server rack .
wikibon divides the server san market into hyperscale server san (developed initially by cloud service providers, moving to mainly volume storage vendors by 2026) and enterprise server san, which includes virtual san and hyper - converged vendors (which are virtual san by definition) .
the community prides itself on independent analysis and as such, we strongly encourage that works published on wikibon are not to be reviewed in advance by an author' s clients or sponsors. wikibon employees are not allowed to produce commissioned white papers and by policy are not allowed to share works with clients prior to publication. we write for a user audience. because wikibon is an open source community, anyone can use it as a publishing platform and there have been instances where paid for pieces have hit the site. however all contributed works are edited mercilessly and open to peer review. specifically, anyone in the community is free to edit the pieces and we strive to produce research that is peer - based and accurate. if someone disagrees with our analysis, they are encouraged to hit the edit key .
our collection of infographics from the wikibon blog, highlighting cloud computing, it infrastructure, big data and other important technology challenges and opportunities. feel free to download high resolution versions, embed on your site or blog, and view the original blog posts for more information .
the new site is optimized for mobile and has lots of new content on cloud, big data and infrastructure. most content on the new site is available to all users; note that your login for this wiki does not transfer to the new site where login is only needed to access wikibon premium content .
there are many ways to contribute to wikibon from writing an opinion to a full how - to note. check out the contributor center for more information. you can also simply click on the' edit' tab and revise an article as you see fit. please log in and receive credit for your contributions .
10gbe analyst analyst 2. 0 big data big data analytics brocade cio cisco cloud computing cloud storage cybersecurity data analytics data center data de - duplication data domain dell emc ethernet facebook fcoe flash google green it hadoop hp ibm infographics infrastructure 3. 0 innovation microsoft netapp networking oracle qlogic ssd storage storage virtualization vce vdi virtualization vmware vmworld web 2. 0 wikibon xiotech
the study examined 13 arrays from 6 vendors ranging from tier 1 to tier 3 storage offerings: dell (2), emc (3), hitachi (2), hp (2), ibm (3) and netapp (1). but not all arrays are created equal, so one might ask if the research is comparing apples to oranges? to clear that up, the wikibon study has produced several groupings to reflect the various types of storage arrays the 13 arrays comprise :
we were sitting around a room one day trying to figure out how to create a community platform based on research and advisory. we knew we wanted to use an open wiki because it was consistent with a read: write internet. we kept coming back to how we wanted to' do good work.' someone said' bon!' as in the french word for good and we thought let' s be' wikibon - - the place to get good info and do good work.'
jim is wikibon' s lead analyst for data science, deep learning, and application development. previously, jim was ibm' s data science evangelist. he managed ibm' s thought leadership, social and influencer marketing programs targeted at developers of big data analytics, machine learning, and cognitive computing applications. prior to his 5 - year stint at ibm, jim was an analyst at forrester research, current analysis, and the burton group. he is also a prolific blogger, a popular speaker, and a familiar face from his many appearances as an expert on thecube and at industry events .
2015 future of cloud computing collaborators: 1. acquia 2. appformix 3. black duck 4. canonical 5. centurylink 6. citrix 7. clarity 8. cloudbees 9. cloudhealth tech 10. confer 11. deis / engineyard 12. demandware 13. egenera 14. erecruit 15. flexiant 16. urltoken 17. hornet security 18. ingeniousmed 19. logentries 20. microsoft 21. newforma 22. open xchange 23. red hat 24. reval 25. urltoken 26. rightscale 27. salsify 28. scribe 29. service rocket 30. springcm 31. stratus technologies 32. thinkstrategies 33. trillium software 34. virtustream 35. wikibon 36. wpengine
just in time for this year’s vmworld, leading analyst firm wikibon conducted a survey of the external storage solutions deployed at vmware customer environments. this year the report has been updated to reflect features / functions available in vsphere 5. 1 and factors their importance as customers rank each vmware integration value to them in their day to day operation of a vmware vsphere environment. “why is this important? ” the answer is that, once again, customers surveyed agree that emc has the best integration with vmware vsphere 5. 1. emc walked away with the top spot across every one of their storage array categories. here’s one of the handsome family portraits. the full report is here .
waltham, mass. , - - north bridge, an inception - to - growth stage venture capital firm today announced the launch of its fifth annual future of cloud computing survey in partnership with research analyst firm, wikibon, and 36 collaborating cloud companies, to date. when the study first began market hype outpaced adoption of cloud computing. today, saas, long at the vanguard of cloud adoption, has grown five - fold from 2011 to 2014. yet issues like security, cloud interoperability and vendor lock - in all warrant broader discussion on the part of the industry as it forges ahead. the program is vendor - agnostic and supported by companies large and small. all participants are encouraged to follow @ futureofcloud and use # futureofcloud to join the discussion on twitter .
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the distributed ledger technology called blockchain is getting a lot of attention right now. is it the right solution for your it project ?
project management is about more than shepherding software through the development process. don' t forget the humans and the team dynamic .
communication between organizations - - it buyers and suppliers - - today should be viewed as a dialogue that extends beyond selling and customer support to driving business strategy and product design .
a new report from village capital highlights the opportunities for startups to contribute to a positive future for workers in a world re - shaped by the input of artificial intelligence and automation .
advances in technology mean a shift in it roles, with it pros having to be more forward - looking and focused on new services that enhance business agility .
progress toward economic parity is in reverse for the first time since 2006, but cybersecurity can help change the game .
follow these four steps and you can better position yourself for a management role by shifting from a technology - first to a business - first perspective .
it teams no longer subsist on full - time employees alone; they also include contract and freelance talent. the combination of skills helps round out an it team. however, sometimes contingent and full - time employees don’t get along .
getting started in new and complex client environments, a bell - curve based agile delivery model may help reduce risks and offer a better probability of success .
with the continuing avalanche of computing demand and data moving compute and data closer to the user is now a necessity .
venture and angel fundings highlight where new technologies and companies are on the cusp of growth .
pressure comes in many forms but often with the same end result: stress and burnout within the security community .
what factors motivate data scientists and other data analytics professionals to take new jobs? a new survey looks at factors including salary, opportunities to learn, challenging work, and benefits .
the hospitality industry wants to make travel experiences as
friction - free
as possible. amazon and marriott are advancing that concept by placing amazon echo speakers in hotel rooms so guests' desires can be fulfilled with mere utterances .
the athletic apparel firm was hacked and data on potentially' millions' of customers now at risk .
stalkers, fraudsters, saboteurs, and all nature of malicious insiders have put the hurt on some very high - profile employers .
enterprise executives considering an automation initiative need to be clear with internal and external stakeholders about how automation fits into the organization’s priorities .
your business' s unique data may be your enterprise' s greatest asset. should you share it with partners and vendors, or should you keep it proprietary ?
as companies begin to fully embrace the digital workplace, they should focus on the employee experience the same way they would on the customer experience .
new developments in gateways, plugins, and more, offer far more value to users of object storage than ever before .
it decision makers need to understand the use cases and risks associated with software - defined datacenters and the role hyperconvergence plays in an sddc .
the workforce is changing as businesses become global and technology erodes geographical and physical barriers. it organizations are critical to enabling this transition and can utilize next - generation tools and strategies to provide world - class support regardless of location, platform or device
is devops helping organizations reduce costs and time - to - market for software releases? what' s getting in the way of devops adoption? find out in this informationweek and interop itx infographic on the state of devops in 2017 .
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peer incite research meetings are moderated sessions where practitioners gather to share experiences and solve challenging business technology problems .
professional alerts are short research notes that provide real world advice on managing technology throughout the lifecycle to gain competitive advantage .
premise javascript is the most popular language for developing internet - based applications. when used on the browser and server ends of distributed applications, javascript development frameworks such as react, angular, and…
right now, is the most interesting time in the history of the it industry – and most risky. on the one hand, mature systems technologies, like virtualization, high - speed system fabrics, …
in the technology industry, it’s become standard practice to say that today has the fastest pace of change that we have ever seen – only to be surpassed tomorrow. the…
the big data market remains volatile, driven by rapid advances in hardware and software technology, use cases, market structure, and skills. while the array of big data technology is remarkable, …
premise. enterprises have been organizing work around applications for decades. as businesses transform, however, work streams can get locked into application limits. robotic process automation (rpa) tools allow enterprises to…
“disruptive technologies” incite passionate debates in the technology industry. while blockchain and ai are more widely hyped, in the cloud and infrastructure space, serverless or functions - as - a - service (faas) is the latest…
* * general inquiry * * david floyer david vellante stu miniman george gilbert peter burris james kobielus dr. ralph finos
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open source and integrated public cloud offerings continue to pressure pricing. applications today require heavy professional services spend. business objectives are driving software to support ever lower latency decisions .
george gilbert will be elaborating on this topic in his 2016 and 2017 research .
what’s up for big data in 2017? think time - to - value, convergence, and business model innovation .
ml application development platforms that are simpler and feature lower latency than hadoop are emerging. this report is first in a series that looks at developer options .
erp and ml are about to make beautiful music together. this report will look at how and when, as well as detailing broader impacts on development and operations .
to data scientists and app developers, analytic workflows proceed in a pipeline. translating that pipeline vocabulary can help it pro’s make better decisions about their ml infrastructure .
to data scientists and app developers, analytic workflows proceed in a pipeline. admins ultimately have to maintain the pipeline’s operation. translating that pipeline vocabulary can help it pro’s better operate ml infrastructure
this report complements our annual big data forecast. it details global market shares and discusses the strategies of market leaders .
fog computing, integrating edge and cloud, has unique devops requirements and workflows. the workflows can be described in a vendor - independent framework .
teradata and sas have a long history of providing leading - edge ml tools and semi - custom apps. new players, like accenture, are muscling in. this report attempts to find if there’s a rule of thumb to determine when each is appropriate .
sap, oracle, infor, and others have a long legacy in business process applications. these are very different from data - driven applications. this report will test how well these vendors can make the transition .
ad - tech firms like rocket fuel operate big data apps at extreme scale. what lessons can developers learn from their approach ?
crm for systems of record meant tracking: leads, calls, field service visits. crm for systems of intelligence will mean scoring prospects, evaluating the productivity of spending across tactics, and automating mundane tasks to increase selling time
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business technology research based on peer practitioner knowledge. big data, cloud, storage, enterprise it infrastructure, iot. research arm of @ siliconangle
been working with @ dfloyer studying oracle' s autonomous platform services including its autonomous database capability. want to make some points & get the community' s input on this. here are our prelim conclusions. assuming oracle' s software does what oracle says it can do ...
ready to see the future of it service management in action? our new, everything - as - a - service offering will change the way you run it – and we can’t wait to show it to you. rsvp for the webinar :
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the organization uses a wiki to exchange information about applying information technology to create business systems. the site contains thousands of research notes available under the gnu general public license .
sign up for a free crunchbase account to follow and track organizations you care about .
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descriptive keyword for an organization (e. g. saas, android, cloud computing, medical device )
this field describes an organization' s most recent funding status (e. g. early stage venture, late stage venture, m & a )
last funding round type (e. g. series a, seed, private equity )
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north bridge' s fifth annual future of cloud computing survey, the broadest industry examination of the topic opens today .
join: we welcome additional collaborators to join part in the broadest study of cloud computing in the industry today. see more at: urltoken
to view the results of the 2014, 2013, 2012 and 2011 surveys please visit: north bridge cloud computing .
about north bridge north bridge venture partners and north bridge growth equity are active partners with entrepreneurs providing seed - to - growth financing for innovative companies looking to disrupt big markets. with $ 3. 5 billion in capital currently under management, north bridge partners, many founders themselves, work with entrepreneurs to apply their expertise in the creation, operation and scaling of market - leaders. the firm has funded more than 170 companies creating many billions in market value. among those firms are acquia, actifio, cool planet, couchbase, demandware, mavenir systems, paydiant, proto labs, reval and starent networks. the firm is based in waltham, ma. to learn more about north bridge go to urltoken. follow us at @ north _ bridge .
hardware rumours, goat - spanking search engines and plenty of azure. it' s last week in redmond
microsoft might not support windows xp any more, but gandcrab v4. 1 ransomware does
git365. git for teams. quatermass and the git pit. github simply won' t do now microsoft has it
imagine a patent on organizing computer files being used against online shopping sites. oh, it' s still happening
ai bots suck at marking written essays, not too shabby at old atari games, and more ...
the report summary says the world - wide server san market added $ 1. 25bn revenue in 2015 to $ 2. 5bn, up from revenues of $ 1. 25bn in 2014, with overall growth of 99 per cent .
nutanix, vmware and emc (with scaleio) were the leading vendors, accounting for 43 per cent of the market, with scaleio growing 3. 5x from 2014 to 2015 .
enterprise server san is projected to grow worldwide revenue at a 22 per cent cagr from 2015 - 2026, from $ 2. 5bn in 2015 to $ 22bn in 2026 .
the net effect is that the two virtually wipe out the traditional san, nas and direct - attached storage (das) by 2026. unless storage and system vendors currently in the san, nas and das market move into either enterprise server sans and / or hyperscale server sans, then they face being relegated to obscurity .
there are surprises here, especially after looking at the forrester' s hyper - converged supplier wave diagram, with nutanix, simplivity and pivot3 being the three leaders .
after that comes datacore making a respectable showing, to say the least, with nexenta in seventh place and pivot3 down in eighth place. we' re left with scaleio and then the large other category .
this paper explores plaster - the seven major ai challenges - in the context of nvidia’s dl solutions .
spectrum cdm is a new addition to the ibm spectrum data protection portfolio. it is designed to enable non - protectionrelated use cases for secondary data .
practical information available on the subject and helping you get started building efficient deep learning networks .
if you' re netapp - y and you know it, clap your hands. if you' re app - y and you know it ...
woah, backup a mo. you mean veeam now has 4, 000 netapp resellers flinging its software ?
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accelerate your business and it transformation with cloud, big data, and technology consulting and services .
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the it professional membership cuts across virtually all industries including financial services, energy, distribution, services, telecommunications, media & entertainment, education, government, distribution, consumer packaged goods, publishing, mining, agriculture and technology .
approximately fifty percent of the community comes from organizations with revenue or an operating budget of more than $ 1b annually .
in addition to its membership, urltoken receives between 50, 000 - 100, 000 unique visitors per month .
from people just like you who are passionate and knowledgeable about a topic. contributors are writers, experts, practitioners, users, vendors and researchers .
statement of work - based consulting services. our roots are in technology consulting. our founders have deep relationships with it execs and executives at tech companies. over the past several years, technology buyers and it suppliers have paid us for detailed research, surveys, cost models, architectural roadmaps, portfolio assessments and advisory support. when we complete a research project we present findings to our clients. any non - confidential information is considered' fair game' for us to use as we see fit. unless the information is considered proprietary (which it often is) we typically will publish findings for the benefit of our users. clients do not review published content in advance .
media partnerships. we provide research and content services to media organizations, which they monetize through advertising. we participate in a revenue share with such organizations .
cumulatively, since our inception, about 10% of our revenue has been derived from end user organizations, 60% from technology suppliers and the balance from financial institutions, media partners, investors and other sources. our clients include technology suppliers and buyers. the following is a list of our clients that we will update from time to time. users of our services should understand that we derive income from these clients and while we always endeavor to provide an independent and objective perspective, buyers are encouraged to do their own research before making an acquisition decision .
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many famous people will tell you the key to their business success is writing regularly. writing forces cogent thinking and often inspires action. so whatever venue you choose, we celebrate your writing and sincerely wish you the best .
great notes can directly help many different individuals or teams solve complex problems. the ultimate test of publishing worthiness is also the simplest: (1) publish; and (2) see if anyone edits or enhances your note. click the' watch' tab and you' ll automatically be sent an email when someone edits your note .
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arranging and configuring storage for unstructured data like emails, graphics, audio, and video is an increasingly important part of any technology strategy, as such content composes at least 80% of an organization' s data. this note is designed to address the following key issues :
with 80% or more of a company’s data in files of different types, it is not uncommon for large corporations to have terabytes of unstructured data stored on its file servers, pcs and laptops. often this data is as critical to business operations as the structured operational or transactional data found in databases: a hospital may store x - rays and other medical images as graphics files, an insurance company keeps accident reports and photographs as image files, a publisher keeps manuscripts in pdf format, and an investment bank retains broker phone records, emails, and instant messages in audio and various messaging formats. yet the ability of end users to electronically search for just the right information they need (such as all of mr. smith’s x - rays from 1998 to 1999) is rarely satisfactory. moreover, as such types of data grow and grow, it departments struggle to keep up with the necessary storage requirements. this has led to the development of a market for unstructured content storage solutions .
it becomes easier for users to find the information they are looking for; the goal is that it becomes as easy to search unstructured content for text, pictures, audit, video, and so on as it is to query a database using structured query language or similar end user tools. this can facilitate business processes that depend upon knowledge sharing and management .
the flip side of this argument is that where users cannot easily find information, time and money is wasted in reproducing and duplicating elements of content already stored in order to meet their needs. further cost savings can be realized by electronically managing unstructured content (printing costs, for example, can be reduced by maintaining filings, policies, newsletters, press releases, product information, etc. online) .
regulators who require information to be archived and managed are not making any exceptions for unstructured information. for example, regulated broker - dealers must save and archive email, instant messages, and dealer telephone records for later follow - up or audit .
operational and transactional data is usually backed up and retained, but employee knowledge represented by unstructured content can be irretrievably lost when the employee leaves .
more organized content can improve customer and business partner relationships and make employees more informed and efficient by making key information more available .
from a technology management standpoint, enterprise management of unstructured data can save money, impose tighter version control, allow better security of the underlying information, and allow integration with developers’ tools and workflow environments .
first, the business case for an unstructured content storage solution must be clear in order to avoid money ill - spent, or business requirements unmet. this includes prioritization of the most important types of content to be addressed, definition of the scope and key requirements of the initiative, and consideration of a method for classifying unstructured data. naturally, this also involves staffing a project team, and preparing to invest considerable time in classifying unstructured data, configuring automated solutions, testing that content searches return relevant results, designing sensible archive policies, working with end users, and supporting this system once live. poor planning and resourcing is the prime cause of implementation failure regardless of technology. in a related manner, it is important not to over - promise results; with so much unstructured content to manage, most analysts recommend phasing implementation and / or starting with a proof of concept. finally, as with any new technology, unstructured content storage solutions are still relatively immature, and the possible range of implementation and support issues is still not fully clear .
the business driver to initiate unstructured content storage solutions may originate from end users demanding better searchability and access to content, from within an information technology department looking to better control costs and manage the exploding storage requirements resulting from the growth of such data, or from auditors and regulators clear data security, backup, archival, retention, and retrieval policies and capabilities that extend from traditional databases to unstructured content management systems. implementing an unstructured content storage solution is done by needs analysis, system design, and deployment / monitoring .
much unstructured content – knowledge about products, services, processes, and people – is inside key people’s heads. developing a system to capture and institutionalize this knowledge is key to managing this content – but outside the scope of an unstructured content storage solution implementation. also, it is assumed that the organization’s core storage architecture is already in place; designing such an architecture is out of scope of this discussion .
while it storage managers are most familiar with structured content, individual content managers are more familiar with unstructured content. so - called content authors use authoring or traditional desktop tools to create and author documents, spreadsheets, presentations, images, etc. content consumers (who may or may not be the same as the authors) use desktop tools or a web browser to retrieve content .
the analysis phase begins with identifying the different types of content authors and consumers and understanding how they create, use, archive, and retrieve this information. this is challenging because unstructured information can be created and stored in disparate physical locations and file formats across the organization - file servers, email servers, imaging servers, individual desktops, laptops, and web servers, for example. inventorying content involves gaining access to these environments .
next, content should be classified (categorized, indexed, prioritized) to the extent possible. this also involves assessing the criticality and security requirements for this content. some content will need a review or approval cycle, strict version management, and audit trail management, others will not. finally, it is important to identify the backup and archiving requirements (if any) of the different types of content. the analyze phase can take a few to several weeks, depending upon the ease of access to the content just described .
the analyze phase is complete when unstructured content types have been identified, classified, subjected to security and controls assessment, and analyzed with respect to backup and archival requirements. this analysis should permit the scoping of an effort to arrange or enhance storage for such unstructured content .
security requirements (access control lists, privacy requirements, etc .) over unstructured data defined .
control requirements (review / approval cycles, version control, and audit trails) defined .
archival policies set (how often, to be retained for how long, need for easy retrieval from archive) .
migration policies determine (how often, from which storage tier to which tier) .
before evaluating hardware and software solutions, it is advisable to investigate standardization, which can reduce the time, complexity, and cost of a solutions implementation by at least 30% . is it possible to standardize your unstructured content around certain file types? in other words, it is necessary to have multiple file formats for audio files, for images, for documents, for spreadsheets, and (especially) for email ?
there are data management standards but these are still adapting to unstructured content: ice (information and content exchange), wfmc (workflow management coalition), and webdav (web distributed authoring and versioning) are three examples. ibm’s uima framework is an attempt to develop a standard for managing and processing unstructured content. in the absence of a widely - accepted standard, xml has become a de facto standard for content creation, representation, indexing, and presentation. at any rate it is important to evaluate any vendor offerings for compliance with these and emerging standards for unstructured content storage .
at this point the various requirements and standards can be put together into a design document and an rfi or rfp and vendors can be contacted for a solutions evaluation, following your organization’s processes. don' t forget to factor in growth in any storage estimates! when evaluating solutions, it is important to reflect your users’ requirements in the pilot solution as parameters governing storage limits, backup policies, migration and archival policies, and so on. some solutions will automatically index certain types of unstructured content (make sure yours are included) as they backs up data. but the ultimate proof of concept of any software or hardware solution is when users can better find, classify, sort, report from, and retrieve information stored or archived in unstructured format .
with well - defined requirements, the design stage can be finished in a week or two .
the design phase is complete when service levels and roles and responsibilities are defined and agreed between customer and provider for each service in scope. each service level metric must be measurable somehow in order for it to be meaningfully monitored post - deployment. in addition, key contact information should be written into the sla, as should any arrangements for cost chargebacks or financial penalties .
other elements of a vendor solution evaluation take place (vendor due diligence, final proof of concept testing, contract negotiation, etc. )
the deploy phase for unstructured content storage involves implementing a project plan, supported by a well - resourced team, to classify and implement index standards and policies in a hardware / software solution. as indicated, organizations are more likely to find success with piloted or phased implementations. this can mean initially implementing a solution for only one type of content (medical imaging files, for example), for one business area (trading and sales), and so on. that area would be willing to invest time in testing the storage concept and execution and in providing detailed feedback to the project team. issues with the solution, or with the deployment process itself, can be fleshed out and taken into account in further phases of implementation. a limited scope deployment can take place in a couple of months, while full enterprise deployments can take several months depending upon the degree of standardization, number of content types, amount of storage required, number and nature of policies and rules, and detailed requirements for content access and retrieval.
wikibon is a community of practitioners and consultants on technology and business systems that uses open source sharing of free advisory knowledge . the company was launched in 2007 by david vellante , david floyer and peter burris and is headquartered in marlborough , massachusetts . wikibon has approximately 5 employees . 
wikibon is a community of practitioners and consultants on technology and business systems that uses open source sharing of free advisory knowledge. the company was launched in 2007 by david vellante, david floyer and peter burris and is headquartered in marlborough, massachusetts. wikibon has approximately 5 employees.
wikibon is a community of practitioners and consultants on technology and business systems that uses open source sharing of free advisory knowledge. the company was launched in 2007 by david vellante, david floyer and peter burris and is headquartered in marlborough, massachusetts. wikibon has approximately 5 employees.