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Oversimplification and analogy can help me grasp the core theory underpinning new concepts. technology giants and silicon valley tend to generate buzz words & hypes and claim themselves to be the masters of that popularized thought. for this reason, it could be difficult to peer throughout the smoke and mirrors at times. here’s a humorous approach to examine some of those new ideas together with an simplification / analogy.
AI = regression. Cloud = a person else’s computer. Robotic procedure transformation = excel macros. facts scientist = Statistician residing in California. Blockchain = Linked checklist database. Are these true?Is artificial Intelligence glorified regression / curve fitting?
now not exactly however the analogy works. AI brings getting to know point into curve becoming and makes the system dynamic.Is artificial Intelligence (AI) wise branding for desktop getting to know (ML)?
basically sure. AI has been on the bleeding fringe of hype curve and makes it more straightforward to market agencies, tasks, very own talents, and so on. individuals also are likely to suppose they know more about it because the time period become popularized in movies and novels given that long time.
when you’re fundraising, it’s AI. for those who’re hiring, it’s ML. if you’re implementing, it’s logistic regression.
– all and sundry on Twitter ever
reality of machine researching in business:* 20% telling business americans what ML is* 20% records assortment* 30% information cleaning* 15% facts assessment* 10% building computer studying models* 5% deployment of models
-Dat Tranweb meme for AI, ML, information Is information science simply facts done by way of non-statisticians?
Half proper. information scientist is one of the most popular occupations these days. What they do is normally clear facts to make it usable for desktop gaining knowledge of models, and so forth. building laptop getting to know fashions is reasonably simplified by means of applied sciences corresponding to IBM Watson Studio and they function complicated statistics clear to conclusion person aka facts scientist.
a knowledge scientist is a statistician who lives in San Francisco- @jeremyjarvis
records Science is data on a Mac.- @bigdataborat
facts Scientist (n.): grownup who's more suitable at records than any utility engineer and enhanced at utility engineering than any statistician.- @josh_willsIs Robotic technique Transformation a fancy name for huge scale Excel macros & scripting?
as it stands nowadays, often yes. There’s capabilities to make it greater dynamic, and self self sufficient. however the current technologies marketed as RPA commonly are home windows scripting to automate clicks of a mouse, etc. Having a ‘robot’ be aware of their capabilities, makes these utility groups seem greater excessive-tech than they're so that they undertake the RPA terminology.Is Blockchain in fact a linked listing database?
sure, however a decentralized one. Linked lists had been around invariably, and had been taught in computing device science classes reminiscent of design patterns. They construct on the core idea of tips to arrange counsel. Blockchains enforce the identical idea in a safer and ownerless way.Is a smart contract type of saved process?
once again, truly sure; but a decentralized one. saved processes are items of code running some logic when definite situations are met in normal databases. wise contracts put in force the identical thought in an ownerless approach, bring more aspects and may very conveniently execute financial transactions in between parties.Buzzwords Tag Cloud. (Onalytica) Is Cloud just a person else’s laptop? New era of dumb terminals? Rebirth of mainframe?
It’s not incorrect to say cloud is a person else’s laptop. All cloud’s are managed datacenters via tech giants reminiscent of IBM, Microsoft, Amazon, Google, and many others. however, it’s now not “simply” somebody else’s computing device. Cloud is a paradigm that could be very powerful if leveraged the correct manner (re-architecting functions, using dynamic scaling, metering, and so forth). In some ways they can hint the idea returned to dumb terminals, and mainframes of the previous. however once more, cloud as it stands nowadays has advanced greatly and basically embodies a brand new considering in technology birth.Is Microservices rebranded carrier Oriented structure (SOA)?
to a few diploma sure. it's secure to assert microservices structure is a subset of SOA. in most cases they promote the same ideas, reuse, simplicity, de-coupling, and so forth. at distinctive levels. Microservices structure places very high emphasis on small sized, self ample and stateless services. This structure fits very neatly with cloud computing for scaling and containers. for this reason rise of cloud computing have propelled the recognition of microservices.
COMMENTARY—government SOADavid Linthicum | SOA cloud computing relationship leaves some folks in a fog
all the noise about cloud computing has left many within the govt confused about the relationship between carrier-oriented architectures and cloud computing. indeed, the most regular question I get nowadays is: “How will their company circulation from SOA to cloud computing?” That’s just no longer logical.
Cloud computing is a hype-fueled hit. almost all govt tips expertise carrier providers are retooling for cloud computing, including CSC and Booz Allen Hamilton, and executive groups are deploying initiatives to leverage cloud computing elements. on the equal time, nearly all the equal organizations which are moving into cloud computing have SOA or SOA-linked initiatives below manner. here is why i get so many questions across the relationship between SOA and cloud computing.
Let’s get lower back to the fundamentals. SOA, at its essence, is an architectural pattern that in fact predates the SOA buzzword. It’s about breaking an structure right down to a functional primitive, figuring out the assistance and behaviors, and constructing it up once again using service interfaces that are abstracted into a configuration layer to create and, more importantly, re-create business options. Very essential element.
Cloud computing is a sort of answer, a way of creating a system during which some or all of its IT supplies exist inside some third-birthday celebration cloud computing useful resource, reminiscent of Amazon EC2 or force.com. consequently, cloud computing is anything that can involve a part of or all of an architecture. The core change is that the device is extended to resources that you simply don’t own or host in the neighborhood.
inserting this greater simply, SOA is all in regards to the procedure of defining an IT answer or structure, whereas cloud computing is an architectural option. for that reason, SOA can’t get replaced via cloud computing. actually, most cloud computing options are going to be described via SOA. They don’t compete -- they are complementary notions.
Making the misconception worse are fresh analyst comments and weblog posts that talk about cloud computing as the next evolution of SOA, which is also not logical. In essence, the individuals who make those statements, I’m discovering, customarily don’t know much about either of these subject matters.
Don’t get me wrong, the movement to cloud computing is a fine element and has been a very long time in coming. I’ve been chief government officer of two cloud computing organizations, and the executive know-how officer of another. The capacity to leverage IT resources, as a service, will make computing extra obtainable for all agencies, including the executive.
besides the fact that children all programs don't seem to be correct for cloud computing, there are lots of instances where this new technology, based mostly upon a very historic conception (time-sharing), will bring plenty-mandatory efficiency and cost reduction to government corporations. I’m joyful to look the number of cloud computing initiatives being described by means of the government at the moment, however I’m just a little bit concerned by means of the amount of misinformation accessible.
The role of SOA in cloud computing is systemic. The capacity to create a successful cloud computing answer means having an suggestions-, service-, and manner-stage knowing of the problem domain. Then, break the architecture down into services that are decomposed and normalized, and then define core company techniques that leverage those capabilities. finally, you could opt for the technology answer, and cloud computing is an additional weapon in your architectural arsenal to create a successful instance of a SOA.
one other element to retain your eye on here is the incontrovertible fact that SOA, whereas being an architectural pattern, is also a strategy. for that reason you deserve to preserve your enterprise structure and using SOA in clear view as you examine any new expertise or strategy coming down the pike. The know-how will at all times be altering, whereas your architecture should still be particularly good.
David S. Linthicum, a former industrial chief expertise and chief government officer and technology professor, leads a consulting company that specialize in SOA, business architecture, and internet 2.0. he's writer of commercial enterprise application Integration, amongst other books.
“in case you have first rate functions however unhealthy information, the [users] who judge you will still feel you have dangerous features.” So says Dan vigour, president and founder of consulting firm Hub answer Designs Inc. in Hingham, Mass. That’s why vigor and other industry specialists say that carrier-oriented structure (SOA) and grasp facts administration (MDM) are hand-in-glove ideas. Cloud computing, meanwhile, might also cowl each bases.
additional, the newer MDM technologies are designed from the ground as much as be carrier oriented, in accordance with Aaron Zornes, chief research officer on the MDM Institute in Burlingame, Calif. “MDM being more moderen-age expertise is of course SOA based,” he said.
The irony is that if groups are relocating to the cloud they’re type of getting each; they’re getting MDM whether or not they realize it or now not, and they’re getting SOA whether they understand it or now not.
Ron Schmelzer, senior analyst at ZapThink
Zornes endured, “SOA is needless with out MDM content material. SOA doesn’t tackle statistics; it simplest addresses processes. What’s the use of getting SOA if you’re no longer looking after the statistics side?” He added, “The identical aspect for MDM. MDM is really a misnomer. MDM isn't in fact an information hub; MDM is basically a system hub. besides storing information you’re executing a bunch of rules in some BPM [business process management] gadget. So it’s a great deal more than a database; it’s in reality a technique hub.”
as soon as a firm has an MDM hub, an SOA is the most useful solution to orchestrate new purposes with that records, energy stated. “What do you utilize to shuttle that records round? Now individuals aren’t the usage of file switch or ETL; they’re using SOA—Oracle Fusion middleware, SAP NetWeaver, etc.—and the older ETL items have developed to become SOA mindful.”
in reality, the giant SOA leaders have all been stepping into MDM. Forrester analysis, in a February 2011 record on MDM developments, noted consolidation became a big theme for 2010, “with a number of colossal data management software vendors selecting off the most advantageous and brightest of MDM pure plays.”
“The SOA individuals had been busy constructing services and ESBs, however you if seem at the MDM products, they provide this out of the box,” Zornes said. “Oracle and IBM in selected have 300 to four hundred SOA features developed into their [MDM] techniques.”
Yet in some cases, MDM and SOA efforts are like parallel universes. “It’s been a decade when you consider that SOA [came to the fore] and americans nevertheless don’t get it,” observed Ron Schmelzer, senior analyst with ZapThink. “lots still feel it’s internet features, and that they totally ignore MDM. however for those that definitely are figuring accessible’s plenty to be gained in making loosely coupled functions, they’re additionally identifying they want the facts element too.”
MDM and SOA efforts are starting to come collectively, power referred to, led with the aid of commercial enterprise architects who recognize these initiatives deserve to coincide. “americans designing functions are working with statistics architects and enterprise architects so it’s all one initiative; that you may’t be concerned in regards to the information in a while,” he talked about.
prior to now, vigour noted, “SOA people would convey snazzy capabilities but the facts coming out wouldn’t work or could be soiled or there was no validation. people wised up. You must get the master records americans concerned from the beginning. Savvy agencies get grasp facts teams and SOA groups collectively and say ‘Thou shalt work collectively from day one.’”
The momentum at the back of cloud computing is helping to circulation these disciplines together. “MDM is the information pairing to the architectural philosophy of SOA,” Schmelzer observed. “loads of times if corporations are pursuing these two issues collectively they are going to see symbiotic benefits. The irony is that if companies are relocating to the cloud they’re variety of getting both; they’re getting MDM whether they are aware of it or not, and that they’re getting SOA whether they comprehend it or now not. The cloud is in fact beginning to put a merger on getting those two things in sync.”
protection is still a priority for MDM in the cloud, despite the fact, vigor mentioned. “The master facts world has been a little slower to adopt cloud, however it’s starting to ensue. master records is among the many most inner most and sensitive data businesses have; it’s the crown jewels.”
It remains early days for MDM, in keeping with the Forrester file, with records governance, facts integration, and records first-class maturity impacting MDM maturity. The examine found that “best 17% of survey respondents felt that they'd a excessive or very excessive degree of MDM maturity, compared to forty two% admitting low or very low ranges of MDM maturity.”
For groups because an MDM initiative, skilled guidance sounds comparable to the early days of SOA: “stop and believe through statistics governance,” vigor observed. “Don’t simply blindly cost into MDM thinking it’s a technology answer by myself. You want an information governance organization with a view to personal the know-how—individuals from the enterprise aspect of issues.”
Zornes added: “Go records governance, go early; that’s the warfare cry nowadays. You deserve to do some planning up entrance—records modeling, statistics profiling, and begin executing policies of information governance.”
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The Defense Department’s newly published cloud strategy leans heavily on several core concepts including maximizing competition among cloud service providers, sticking to a single cloud strategy, leveraging commercial-sector best practices, creating a culture for better technology evolution, and above all else supporting warfighters and increasing their lethality.
‘One Cloud Strategy’
To achieve the overall cloud strategy, DoD said it will rely on a “Cloud Smart-Data Smart” approach. The first part of that approach, Cloud Smart, equals “one cloud strategy to adopt cloud solutions that streamline transformation and embrace modern capabilities for multiple clouds and missions.” The second part, Data Smart, is defined as “data transparency and visibility enabled by enterprise infrastructure, application standards, and data tagging.”
That combined approach, DoD said, will allow it to leverage battlefield decision-making advantages enabled by artificial intelligence (AI) and machine learning (ML), and the use of common data and application standards “associated with conducting operations in the cloud, such as data normalization/tagging, transport protocols, and interfaces, will be developed to enable and encourage the adoption of enterprise solutions that navigate DoD away from custom, approaches,” DoD said.
“These standards, combined with the computing power offered by cloud, will allow the Department to function at a tempo never before seen, making informed, analytical decisions at machine speed,” it said.
Competition and Best Practices
Regarding leveraging industry best practices, DoD said it must leverage “commercial technology, capability, and innovation whenever possible,” maximize “competition to ensure that DoD is getting the best technology and value,” leverage “industry open standards and best practices to avoid lock-in and provide maximum flexibility for future cloud advances,” and independently assess cloud services to make sure that data remains secure.
In seeking to maximize industry competition, DoD said it is “positioning itself to get the best value in today’s market of cloud computing capabilities to support warfighting and business requirements and to grow capability as industry evolves.”
“In addition, DoD seeks to maximize competition, not only when awarding the pathfinder General Purpose cloud, but also by ensuring access to a variety of Software as a Service (SaaS) capabilities that are complementary to the General Purpose and Fit For Purpose clouds,” it said.
“The Department must take advantage of the advances that American private industry has made,” it said. “All of this will be built into commercial pricing structures. If DoD can adopt this commercial mindset toward cloud computing, it can incorporate commercial industry lessons learned into future architecture decisions,” the agency said.
DoD said its cloud strategy seeks “to create a culture that is better suited for adaptability and modem technology,” by, among other goals, fostering an environment “where people can innovate iteratively.”
The agency also aims to “embrace enterprise solutions” while moving away from “custom federated approaches,” create a “sustainable culture and workforce than can effectively use what cloud provides,” and create a “culture that enables continuous learning from their cloud partners.”
Elaborating on those goals, DoD said, “Iterative innovation is essential for successfully adapting modem technologies in an evolutionary fashion. To achieve this, DoD will embrace the use of leading modem technology quickly and more rapid prototyping of new systems. Examples include developing and deploying capabilities for DevSecOps in the cloud environment to securely develop and test software for use in the cloud and using commercial clouds to enable small and medium size companies to more effectively secure Controlled Unclassified Information (CUI).”
On the personnel front, DoD said its workforce must “change it culture,” and that the agency “must develop a cadre of technical professionals, as well as encourage technical proficiency throughout the entire Department.”
And regarding industry partners, it said, “The Department has never built or implemented an enterprise cloud solution and therefore, recognizes the importance of finding a commercial partner to help begin the process of enterprise learning and the development of technical cloud proficiency.”
Warfighter, Lethality Priorities
And above all, DoD said its transition to commercial cloud services “needs to continuously test that cloud solutions are built in a manner that never puts the warfighter and his/her mission at risk,” adding, “this will require the Department to rigorously red team and challenge itself with independent assessments of the cloud environment and to utilize tactical distributed computing.
“At all times, DoD needs to ensure that cloud is addressing the needs of improving military lethality,” the agency said. “By constantly challenging itself around lethality with red teams, DoD can ensure that the cloud will be positioned to support the challenges of the global environment.”
Oversimplification and analogy can help me grasp the core idea underpinning new concepts. Technology giants and silicon valley tend to generate buzz words & hypes and claim themselves to be the masters of that popularized concept. Therefore, it might be hard to see through the smoke and mirrors at times. Here’s a humorous way to look at some of these new concepts along with an simplification / analogy.
AI = regression. Cloud = someone else’s computer. Robotic process transformation = excel macros. Data scientist = Statistician living in California. Blockchain = Linked list database. Are these true?Is Artificial Intelligence glorified regression / curve fitting?
Not exactly but the analogy works. AI brings learning aspect into curve fitting and makes the process dynamic.Is Artificial Intelligence (AI) smart branding for machine learning (ML)?
Mostly yes. AI has been on the bleeding edge of hype curve and makes it easier to market companies, projects, personal skills, etc. People also tend to think they know more about it since the term was popularized in movies and novels since long time.
When you’re fundraising, it’s AI. When you’re hiring, it’s ML. When you’re implementing, it’s logistic regression.
– everyone on Twitter ever
Reality of Machine Learning in industry:* 20% telling business people what ML is* 20% data collection* 30% data cleaning* 15% data review* 10% building machine learning models* 5% deployment of models
-Dat TranInternet meme for AI, ML, Statistics Is data science just statistics done by non-statisticians?
Half true. Data scientist is one of the hottest occupations nowadays. What they do is mostly clean data to make it usable for machine learning models, etc. Building machine learning models is quite simplified by technologies such as IBM Watson Studio and they perform complex statistics transparent to end user aka data scientist.
A data scientist is a statistician who lives in San Francisco- @jeremyjarvis
Data Science is statistics on a Mac.- @bigdataborat
Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician.- @josh_willsIs Robotic Process Transformation a fancy name for large scale Excel macros & scripting?
As it stands today, mostly yes. There’s potential to make it more dynamic, and self autonomous. But the existing technologies marketed as RPA generally are windows scripting to automate clicks of a mouse, etc. Having a ‘robot’ word in their functions, makes these software companies seem more high-tech than they are so they adopt the RPA terminology.Is Blockchain basically a linked list database?
Yes, but a decentralized one. Linked lists have been around forever, and have been taught in computer science classes such as design patterns. They build on the core idea of pointers to organize information. Blockchains implement the same idea in a safer and ownerless way.Is a smart contract kind of stored procedure?
Again, basically yes; but a decentralized one. Stored procedures are pieces of code running some logic when certain conditions are met in traditional databases. Smart contracts implement the same concept in an ownerless way, bring more features and can very easily execute financial transactions in between parties.Buzzwords Tag Cloud. (Onalytica) Is Cloud just someone else’s computer? New generation of dumb terminals? Rebirth of mainframe?
It’s not wrong to say cloud is someone else’s computer. All cloud’s are managed datacenters by tech giants such as IBM, Microsoft, Amazon, Google, etc. However, it’s not “just” someone else’s computer. Cloud is a paradigm that could be very powerful if leveraged the right way (re-architecting applications, using dynamic scaling, metering, etc). In some ways they can trace the idea back to dumb terminals, and mainframes of the past. But again, cloud as it stands today has evolved significantly and really embodies a new thinking in technology delivery.Is Microservices rebranded Service Oriented Architecture (SOA)?
To some degree yes. It is safe to say microservices architecture is a subset of SOA. Mostly they promote the same ideas, reuse, simplicity, de-coupling, etc. at different levels. Microservices architecture puts very high emphasis on small sized, self sufficient and stateless services. This architecture fits very well with cloud computing for scaling and containers. Therefore rise of cloud computing have propelled the popularity of microservices.
Technology is disruptive. It’s the nature of technology. Consider the Gutenburg printing press, the lightbulb, the computer. All of these innovations had enormous impact on the way they live and work. The cloud and the concept of remote computing is one of those kinds of innovation, and it is proving to be very disruptive.
In 2018, the cloud became a no-brainer, a technology adopted by both small and large businesses. Forrester found that 60 percent of North American enterprises now use the public cloud.
Expect to see more of the same in 2019. Ovum found that 20 percent of business processes have moved to the cloud, but 80 percent of mission-critical workloads remain on-premise. Expect more of those legacy applications to make the transition to the cloud. Gartner says that by 2025 most organizations will have migrated from their on-premise data centers to the cloud.
While Cloud Computing has managed to move past the worry of security when computing is performed remotely, the worry hasn’t totally vanished. Security should be a top consideration for any cloud deployment or development. Expect businesses to invest even more in security and to place a higher priority on security when developing applications.
Dave Bartoletti, Vice President at Forrester, wrote that “In 2019, cloud computing will firmly establish itself as the foundation of tomorrow’s enterprise application platforms. It’s the best way to create the compelling software experiences that your customers demand and your competitors fear. Cloud spending will spike as enterprises eagerly adopt cloud tools and services wherever and however they can. Buckle up: The cloud ride is accelerating.”February 7th, 2019 Category: Uncategorized Leave a Comment
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