#Supervisor Cluster deployments
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virtualizationhowto · 2 years ago
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VMware vSphere 8.0 Update 2 New Features and Download
VMware vSphere 8.0 Update 2 New Features and Download @vexpert #vmwarecommunities #vSphere8Update2Features #vGPUDefragmentationInDRS #QualityOfServiceForGPUWorkloads #vSphereVMHardwareVersion21 #NVMEDiskSupportInVSphere #SupervisorClusterDeployments
VMware consistently showcases its commitment to innovation when it comes to staying at the forefront of technology. In a recent technical overview, we were guided by Fai La Molari, Senior Technical Marketing Architect at VMware, on the latest advancements and enhancements in vSphere Plus for cloud-connected services and vSphere 8 update 2. Here’s a glimpse into VMware vSphere 8.0 Update 2 new…
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argoslabs · 6 months ago
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Low-Code AI/ML Integration: A Step-by-Step Guide
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Introduction
In today’s rapidly evolving digital landscape, tapping into the power of Artificial Intelligence (AI) and Machine Learning (ML) has become essential for businesses that want to stay ahead of the competition. Yet, the traditional methods of implementing these technologies usually come with a steep learning curve and require a lot of coding expertise. This can be intimidating, especially for many developers who may not have extensive programming backgrounds.
The good news is that low-code platforms are stepping in to make this process a lot easier. They allow both experienced Python developers and newcomers to coding to effectively use AI and ML capabilities without the usual complexity. In this blog, we’ll break down the steps needed to integrate AI and ML into your applications using low-code solutions, making it simple and approachable.
Understanding Low-Code Development
At its core, low-code development empowers users to create applications through visual interfaces and minimal hand-coding. This means faster development times and less reliance on specialized programming skills, making it accessible to a broader audience. According to Gartner, more than 65% of all application development is expected to be carried out using low-code platforms by 2024.
Who Should Care?
1) Python Developers: If you’re already familiar with Python, you can enhance your skill set by diving into low-code integration without needing to overhaul your methods.
2) Low-Code Developers: For those keen on adding advanced features to applications quickly, low-code platforms provide a fast track to integrating AI and ML capabilities.
The Importance of AI/ML Integration
Implementing AI and ML into your applications can lead to dramatic improvements in user experiences and operational efficiencies. McKinsey & Company has indicated that businesses investing in AI could see profitability increases of up to 122%. With low-code platforms, you can swiftly deploy ML models, derive insights, and provide personalized user engagement.
Real-World Examples:
1) Healthcare Using AI for predictive analytics to improve patient outcomes.
2) Finance Implementing fraud detection systems to protect sensitive information.
3) Retail Developing personalized marketing strategies to enhance customer engagement.
"AI is the new electricity," says Andrew Ng, a leading voice in AI. This statement underscores the transformative power of AI when integrated effectively.
Steps to Integrate AI/ML with Low-Code Platforms
1. Choose the Right Low-Code Platform
Look for platforms that are user-friendly and scalable while offering AI/ML features. Options like Argos STU, Argos PAM, and Argos Supervisor and Argos POT SDK are worth exploring.
2. Prepare Your Data
Data is fundamental to any AI/ML application. Collect, clean, and prepare your data using the built-in data connectors that many low-code platforms offer.
3. Select and Build Your Model
Utilize pre-built models provided by the low-code platform or import your own. Choose the appropriate model based on your application’s needs, whether it’s for regression, classification, or clustering tasks.
4. Integrate Your AI/ML Model
Leverage the platform’s visual builder to integrate your AI/ML model into your application’s workflow effortlessly. Many low-code options simplify API creation and connectivity with other services.
5. Testing and Deployment
Conduct thorough testing to ensure that your AI/ML components work as intended. Low-code platforms typically allow for easy updates, enabling quick iterations based on feedback.
Key Considerations and Challenges
While the benefits of low-code AI/ML integration are compelling, keep in mind some challenges:
1) Data Privacy and Security With increasing regulatory scrutiny it’s crucial to handle sensitive data responsibly.
2) Model Limitations While pre-built models can simplify the process, they may not always suit your specific needs, necessitating some customization, which might still involve traditional coding.
Addressing these considerations is vital to ensure a successful integration.
Conclusion
Integrating AI and ML into your applications using low-code platforms is an exciting opportunity for developers to innovate and elevate their projects. As these platforms advance, they make the integration process more accessible than ever before. So, why not dive in and start experimenting with Argos Labs low-code AI/ML integration today?
Want to learn more? Subscribe to our blog for ongoing insights on low-code technologies and tips on how to revolutionize your development approach!
Argos Labs Low-Code AI/ML Integration Platform
If you’re searching for a user-friendly low-code platform tailored for AI and ML integration, look no further than Argos Labs. Their solutions empower users to unlock the potential of AI without extensive coding requirements, enabling you to focus on innovation and growth.
By following this guide, you’ll not only enhance your understanding of low-code AI/ML integration but also gain practical insights you can apply immediately. Embrace the future of development and harness the power of low-code today!
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gwebpro · 1 year ago
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Factors to Consider When Hiring Machine Learning Developers
Hiring machine learning (ML) developers involves assessing various factors to ensure their suitability for the role. Candidates must be proficient in both technical and soft skills; otherwise, they may not be a good addition to your team. For instance, miscommunication is possible if they lack effective communication skills, which can hinder teamwork.
To hire a competent machine learning developer with all the skills you require, let’s look at the qualities you need to look for. 
What to Look for When Hiring Machine Learning Developers
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Let's look at the characteristics that set top machine learning developers apart. Doing so will make hiring them that much easier. 
Educational Qualifications
When looking for a skilled machine learning developer, take into consideration the applicant’s education. As machine learning is part of computer science, a background in computer programming, mathematics, and data science is mandatory. Candidates with a bachelor's degree with certifications in machine learning are accepted, whereas candidates with a PhD are preferred.
Candidates must also be experts in topics like machine learning algorithms, natural language processing, regression, and neural networks. They must also be fluent in computer programming languages. 
Technical Skills
Applicants for your machine learning developer role must have superior technical skills. They are expected to be acquainted with programming languages like Python, C++, JavaScript, Java, C#, Julia, Shell, R, TypeScript, and Scala. They must also be familiar with data engineering, data analysis, ML models, and deployments. In brief:
Data engineering is managing or transforming data for storage and processing.
Data analysis is the process of examining, purifying, converting, and modelling data in order to extract meaningful information.
Machine learning models are programs that identify patterns or draw conclusions from unknown data sets.
Model deployment is the process of incorporating an ML model into an already-existing production so that it can receive input and produce output.
Software Engineering Skills
Software engineering skills are a must-have for machine learning developers. Writing search queries, sorting, and optimizing algorithms are required, along with being familiar with data structures like stacks, queues, trees, graphs, and multidimensional arrays. 
AI and machine learning developers must also know about computer architecture elements like memory, clusters, bandwidth, deadlocks, and caches. These are some of the fundamentals of computer science.
Soft Skills
The recruiter must ensure that applicants have soft skills as well as technical ones. While machine learning is a technical domain, having soft skills like problem solving and clear communication makes a candidate more efficient in their work. This is because one of the most important aspects of the work is being able to explain the project's objectives, schedule, and expectations to stakeholders.
Also, the goal of machine learning is to solve problems in real-time. This means having the critical and creative thinking skills necessary to identify problems and come up with solutions.
Time Management and Teamwork
Time management skills are essential for making significant contributions to the team. Machine learning developers frequently have to balance the needs of multiple stakeholders while still finding time to conduct research, plan and manage projects, and create and thoroughly test software.
Teamwork is also crucial as machine learning developers often work closely with software engineers, marketers, product designers, managers, testers, and data scientists. They are frequently at the core of AI business initiatives. When recruiting an AI/ML developer, supervisors look for the ability to work well with others and contribute to a positive work environment.
A Desire to Learn New Things
An AI/ ML developer must have a passion for studying and learning. Artificial intelligence, deep learning, machine learning, and data science are quickly developing topics. The most successful AI/ML developers are always updating their knowledge and willing to learn new abilities. Even machine learning developers with doctoral degrees find ways to stay up to date by attending boot camps and workshops and doing self-study. 
Developers must study cutting-edge methodologies and technologies, learn the newest programming languages, and become proficient with new applications and tools. An enthusiastic learner quickly learns about the newest industry developments. 
Cost and Value
Recruiters must know the market value of these positions in order to hire a developer. A typical AI/ML developer's hourly rate in Canada could differ depending on their position, degree of expertise, region, and demand within the market. In Canada, AI/ ML experts are hired with an hourly pay between $30 and $60 on average.
Entry-level jobs such as junior data analysts or AI assistants have a pay between $30 and $40 per hour. Professional-level AI/ML developer costs are typically between $40 and $60. These experts have the knowledge and expertise required to take on challenging AI projects and produce top-notch results. 
When hiring a machine learning developer, a good mix of technical and soft skills is needed. A solid educational base, command of important programming languages, and familiarity with data engineering are all desirable. Teamwork, effective communication, and problem-solving skills are also vital. You are sure to locate the perfect developer for your team by keeping these things in mind.
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cowandcalf · 6 years ago
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Meta on Steve aka "Smooth Dog" – a short character study
Steve McGarrett and his way with women. The answer to this you'll find in his youth.
In season 10, Steve reveals an uncharacteristic streak we haven't seen so far. He's uncomfortable and insecure when it comes to the task to ask a woman out on a date. He's downright shy and he squirms as if the assignment he needs to face is too big and an emotional steeplechase. He likes to take things slow. He wants to wait for the right moment and he hates being pushed because he kind of isn't ready. At all.
And the reason why he hits this invisible wall as a grown adult in his forties is because he has never had to learn how to do it. It's his first time ever that he needs to be charming, forthcoming and that he has to dig up courage to approach a woman and to ask her out. What Steve experiences Danny has undergone in his youth as a teenager. And I guess, most of the grown men from the Five-0 task force made the same experience as Danny. But not Steve. Steve has never had to fight for attention or to fight for being seen.
If you want to understand why Steve acts quite insecure when it comes to women and asking them out for a date you have to go way back into the years of his youth.
Actually, I start with Steve in High School. Steve's a jock. Steve's a quarterback. Steve's the best quarterback Kukui High has ever had. Steve's a star! He's the most wanted guy at school. He's the secret dream of almost every girl (for sure also the dream of some female teachers) which visits Kukui High.
Steve might be a shy teenager. He might have some difficulties to act cool and collected around girls. He might be blushing and stuttering and he might also hide behind the back of his friends he hangs out with. He eats in the cantina, and he might have no idea what to talk about with girls who always giggle and glance his way. He has Mary as a bar and he doesn't even understand his little sister. He fights with her and he knows she's a girl and that he loves different stuff. But her world is quite a mystery to him. He rather sticks around with his friends and pals, his surfer guys and his ohana.
Yes, they're at the beach. They surf, they meet girls. It's normal to see everyone in swim trunks and bikinis, to be in the water, to chill together. Everything comes very naturally.
But the most important puzzle piece is Steve the quarterback! Steve, the jock! Steve the outstanding, good-looking, very handsome, super trained, awesome talented and super cute jock! Steve is hot as fuck! He's a dream version of the beach boy, surfer boy comes true.
Hawaii, High School, Football – the holy trinity. And the king is Steve, like their famous, undefeated quarterback. He even pulverizes all of Chin's school records. He's even more famous. Steve is the freaking catch!! Even if he feels uncomfortable with the fame he has to carry and he has to deal with. I'm so sure he also loves it because all girls (and boys and teachers, male and female) admire him. Look up to him, love him, cheer for him, drool over him… damn, Steve's the jackpot!
And he knows it!
Steve works out tons. He looks fabulous. Tanned skin for miles and miles, trained, hard abs, a radiant smile, a shy attitude, fierceness on the gridiron, determined and dedicated to his task. He's a freaking wet dream for every teenage girl in the schoolyard.
And then there are Friday nights! Play nights! It's football madness and this adrenaline rush that comes with the great entrance of the player who fight for Kukui High. The boys are warriors out on the field. They get celebrated like kings! The crowd is cheering and Steve kicks ass on the field. He pushes his team to the max, makes them win.
He's a fucking badass and a sexy star!
And guess what? On the benches, at the sidelines, in the spectator area, there are girls as far as the eye can reach. They scream they cry, they cheer and they yell Steve's name. And some of them have banners with Steve's name on it and hearts! And don't forget the cheerleaders! Wow! Sexy girls, trained and skilled and so into their football team they support. And there's always the cheerleader queen who normally gets to win the quarterback of the football team.
I'm so sure of it, Steve got kissed many times after a game. He never had to fight for attention. No, on the contrary, he was almost harassed with attention, with praises and with girls who would love to have sex with him, kiss him, flirt with him. Steve is always surrounded by girls who want to be near him because he's the star quarterback of Kukui High.
The girls surround him in clusters!
And if a girl behaves difficult, demands too much, Steve moves on to the next one. He's young. He's bursting with strength and testosterone! He can have any girl he wants. He can have the High School cheerleader queen. That's the jackpot, man!
Smooth Dog is on his way.
Now, change of scenery. His mother dies. He and Mary get send away. A tragedy takes place and alters Steve's soul. His emotional growth comes to an abrupt halt. He swallows the pain and hurt, fear and emotional agony because his father sends him off to the mainland.
A terrible, hard path starts for young, carefree Steve. The lingering sadness gets added to his character and the hard gushes caused by emotional pain never really heal. He learns to deal with it. He might withdraw and be for himself. I'm sure at Carlsberg he hides behind sports and physical exhaustion to find some peace, to set his mind to rest. He's a brilliant student and once he accepts his fate he digs his heel into the ground and just takes off because that's how he's wired.
He moves on. He grows into a strong, quiet, wonderful young man. His energy is radiant. He's surrounded by this faint hint of adventure, sadness, and strength. Warriors and heroes are made from that material. Steve's breathtakingly handsome. And he wants to be a SEAL.
I guess he has some girls, who are interested in him. But his mother's death and the separation of his family still eats at his soul. He doesn't have the strength or the interest to deal with a relationship.
And suddenly he's together with strong, young, hungry men. They fight to get through BUD/s. They all have one goal. He sees his comrades fail. He knows only the strongest survive. Steve's a fighter. And he has to prove something to himself.
The deep-rooted doubt is eating at the bones of his soul. His father has sent him away – his only son. Is he loved? Why can't he be with his father? Has he disappointed his father in some sort? Steve will never ever again be free in his heart and his soul because deep down he thinks he has failed as a son.
And the only thing he can do is to be the best, the strongest, the fucking elite guy who proves everyone that he's the one! That he can beat nature and his own will. Every supervisor, every chief, every boss, every drill sergeant turns into his father and he wants to make them proud.
Until he finds Joe and Joe guides him and Steve's hungry, empty heart can rest a bit. But it never really heals.
SEALs are impressive. They are strong and a women's magnet. Steve's a man and he also needs sex, wants sex, has sex. He's healthy and everything is a freaking challenge for him. I'm sure he bets with his friends and SEAL buddies which girl he takes home tonight. He doesn't have to go looking. Again, the girls and the women hunt them. The female gender gets drawn to strong warriors, lonesome fighters with this handsomeness and this sad streak around the eyes. Steve's a jackpot once again.
Smooth Dog is born.
And he doesn't treat the female sex so nicely. He grows up in a world where orders, obeying and giving orders, asking for obedience is on the daily agenda. He serves and he has one aim. To be a SEAL, to be an elite soldier. He will get forged in hell of terrible training schedules and exclusive ops and drills and exercises and deployments.
Women and how to deal with them happen on the sideline. Steve can't develop the finesse that's needed to really deal with the female sex. He gets to know the women who also join the Navy and the military. And those are just as many exceptions to the rules as every other person in this military world. It's a unique universe with different rules and laws.
And Steve doesn't have any difficulties to find a way to flirt and to be with a woman because he's again a star. He's a SEAL. He's special and hot and an incredible catch. Steve doesn't really pay attention to it. Because his focus is on the task, on the ops, on the mission, and on his brothers.
And there are some adventures we know of. He's not interested in a relationship. Even though, Steve's emotional and he falls quickly for someone, the pull towards to serve his country is way bigger. He doesn't want to settle.
And then he meets Catherine. And Catherine endures a lot of Steve's demanding attitude. The way he uses her for his own good, for his work as the head of Five-0 demands a meta on its own. Cath just bears and takes everything Steve's dishes out. He's not always so friendly and nice and loving with Catherine. But he doesn't have to work for it either. Catherine is there, always, whenever Steve calls, and orders and demands, she delivers. They end up in a relationship Steve doesn't really work for. It just happens.
(Not gonna move further into this direction. That's for another time.)
So, let's sum this up.
The whole tragedy ends with the way Cath and Steve break up. Steve starts to realize what kind of a woman (in a good way) he has had over all those years. But he missed out so many clear signs. Anyway, he's alone again and for the first time in like forever he realizes there are not that many women just gathering around him without him doing something for it.
But he's still young and bursting with energy and strength. And he meets Lynn and their first date goes down like a freaking drill on a paintball weekend. Steve has fun. He's the hero again and Lynn is smitten and just a frightened and a bit in shock. Lynn teaches Steve that he has to give his fair bit to this relationship and Steve also learns with Lynn that he can't just move on like he always has.
Lynn is a breaking point where Steve realizes for the first time that getting a woman is work, keeping her is even harder work and having a well-functioning relationship is almost impossible to manage. It dawns on him that it's not all for granted, that there are women who give zero fuck about a Smooth Dog in cargo pants. They want a man, a boyfriend, who can talk, who doesn't forget Valentine's Day and who loves to go shopping with them.
Steve's not happy. He's flustered, and bewildered and a bit in shock and he doesn't deal with it.
The years move on, time flies by and he undergoes terrible injuries and terrible losses. Ten years is a long time.
But one day he finds himself sitting at the table and drinking his coffee while he tries to ignore the pain in his bones and he asks himself how the fuck does he make a woman go on a date with him.
And suddenly, Steve doesn't have the support any more of being quarterback, being a young warrior, being SEAL, being the tough head of the task force. He's older, he has issues and the women in his world are emotionally grown and very demanding in a way he has never ever delivered.
So, that's how Steve ends up standing in the dog park with Danny and kind of gets cold feet. He just doesn't know how to deal with it. It's like he's living it backward and experiences all the insecurities others go through when they are teenagers. Steve has never learned how to really win a woman over just with being Steve.
And last but not least. The first person who doesn't take the shit Steve dishes out, who isn't impressed by all his awards and highly decorated Navy career, is one Danny Williams, highly decorated Detective himself. And that's where another story begins.
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How CIOs Can Take Benefit Of Kubernetes
Kubernetes provides a rich set of features like rolling deployments, well being checking, self-monitoring, workload autoscaling, and much, much more. I am captivated with creating highly scalable, resilient functions. I love every part from the database, to microservices (Kubernetes, Docker, and so forth), to the frontend. I discover amazing to think about how all pieces work collectively to supply a quick and pleasurable expertise to end customers, mainly because they have no clue how complicated that "easy" app is. kubernetes container -degree Kubernetes abstraction, the cluster, refers to the group of machines running Kubernetes (itself a clustered software) and the containers managed by it. A Kubernetes cluster must have a grasp, the system that commands and controls all the opposite Kubernetes machines within the cluster. A highly available Kubernetes cluster replicates the master's services throughout a number of machines. But only one grasp at a time runs the job scheduler and controller-supervisor. Depending on the course chosen, the application will likely be put via three or four days of theoretical and lab training. There are fairly a couple of on-line programs accessible to help these people put together for the Kubernetes Administration Certification. At the end of the course and certification, IT practitioners is not going to solely be capable of understand the ideas of Kubernetes but in addition be capable to implement these in the working cloud environments.
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If we see past all this trivia knowledge, it was built by Google as a response to their own expertise handling a ton of containers. It is also Open Source and battle-tested to deal with really giant techniques, like planet-scale massive techniques.
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theithollow · 4 years ago
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vSphere 7 with Tanzu Updates
Updating vSphere 7 with #Tanzu Clusters #Kubernetes
At some point, you’ll be faced with an upgrade request. New Kubernetes features, new security patches, or just to maintain your support. A vSphere 7 with Tanzu deployment has several components that may need to be updated and most of which can be updated independently of one another. In this post we’ll walk through an update to vSphere, then update the Supervisor namespace, and then finally the…
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intrpd · 6 years ago
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Societal Readiness Levels: Ready for a new normal?
Monika Büscher
‘What gets measured gets done’ – a treacherous mantra of our times. As societies bend to a technocratic Gestell of indicators, their compliance feeds its power. In her critique of the New Urban Agenda’s call for urban resilience, Maria Kaika highlights how indicator-based planning can undermine communities. She cites Tracie Washington’s defense of disaster victims:
everytime you say, “Oh, they’re resilient, [it actually] means you can do something else, … We were not born to be resilient; we are conditioned to be resilient. I don’t want to be resilient …. [I want to] fix the things that [create the need for us to] be resilient [in the first place]
Tracie Washington, President of the Louisiana Justice Institute, in Kaika (2017).
Kaika shows how indicators designed to support resilience can end up supporting an ‘immunological’ ideology. A technocratic, managerial, solutionist smart city innovation agenda, she argues, ‘vaccinates citizens and environments so that they can take larger doses of inequality and degradation in the future’ (2017:89). The concept of ‘Technology Readiness Levels’ (TRL) is part of this agenda, as is the emergent concept of Societal Readiness Levels (SRL) (Fig 1). However, an affirmative critique (Braidotti 2011)of SRL may offer a lifeline off this self-destructive juggernaut.
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Figure 1 Visualisations of Societal and Technological Readiness (Source: (Allwood et al. 2017)(right), (Schraudner et al. 2018)(left))
Developed by NASA as a ‘systematic metric/measurement system that supports assessments of the maturity of a particular technology’ and comparison between different types of technology (Mankins 1995), the TRL metric has spread to guide multi-trillion global innovation programmes. TRL embody a culture of solutionism (Morozov 2013), where technology is seen as a product designed to fulfill societal or operational needs or ambitions. SRL critique this technocractic focus. The SRL concept originates in debates about a transition towards low carbon futures (Allwood et al 2017, Fig 1 left) and the Danish Innovation Fund’s attempt to find a ‘way of assessing the level of societal adaptation of, for instance, a particular … innovation (whether social or technical) to be integrated into society’ (Fig 1 right). The two approaches are different in aim, one focused on a societal transformation where a socio-technical change of reduced material demand has become ‘normal practice’ at the highest SRL level, the other on measuring successful (profitable) embedding of (desire for) a product.
The Danish Innovation Fund’s SRL framework in particular has received interest from major actors like UK and EU research funding bodies. This indicates that concerns with the social dimension of innovation have become mainstream. The 2050 European Energy Roadmap, for example, recognises that citizens’ active participation in energy management is ‘as critical as technology to making the European energy system more flexible and sustainable’, and smart city innovation is scrambling to become ‘citizen-focused’. However, such citizen-focus all-too-often remains – at best! –at a ‘placating’ level (Cardullo and Kitchin 2019), at worst it constitutes cynical lip-service for moreintrusive commercial and security-driven exploitation of citizen data in ‘Lifeworld.Inc’ (Thrift 2011).
Mainstreaming attention to the social through SRL has failed so far. Why? Does this mean the very idea is ideologically corrupted like the New Urban Agenda’s resilience indicator-based approach? Or is failure down to a lack of societal readiness of the currently dominant SRL concept itself? Measurement and comparison have proved critical to societal transformation before (Mosley 2009). And as rapid societal transformation is needed to avert the collapse of humanity, could societal readiness be conceived differently? Allwood et al’s concern with a new normal as the highest level of societal readiness resonates with social science debates that the Danish Innovation Fund seems oblivious to. The summary below is designed to explore how we might give new direction to SRL.
Christensen’s recognition that innovation is often disruptive of existing socio-economic orders (Christensen 1997; Christensen et al 2015)highlights that technologies are not products to be inserted into a ‘context’ but catalysts for change. The concept of mode-2 science and society (Nowotny et al 2001)addresses this disruptive element and the unintended, un-known and unknow-able consequences of innovation. Mode-2 society and mode-2 science are based on interdisciplinary collaboration, and methods of collective experimentation (Felt and Wynne 2008), where scientists and citizens, organisations, technology developers and those who appropriate technology, bring together and contest social and technological innovation. Opportunities for such collaboration are often clustered at the implementation end of innovation, but calls to create them further upstream are beginning to define methodologies for citizen engagement on higher rungs of the ladder of participation (Arnstein 1969)to conduct Experiment Earth(Stilgoe 2016).
The result of such efforts should be more carefully radical and radically careful design (Latour 2008). Methods for achieving it cluster around experimentation, creative, artistic disruption and the strategic power of ignorance and surprise (Gross 2010). Gross suggests that given our inevitable ignorance in the face of complex systemic disruptions and unintended consequences of innovation it is critical that we generate as much surprise as early as possible. Simulation, play, broad-base dialogue and collaborative learning are essential for this. Introna (2007)adds an ethical dimension with his call for disclosive ethics and a focus on reversibility – it is important to not allow innovations to settle too fast. Recent efforts to define a digital ethics by the European Data Protection Supervisors’ Office address this need to give ethical issues a broader than regulatory exposure, including public consultation (EDPS 2015; 2018)
What is the role of the social scientist in this? Braidotti's (2011)demand to move beyond critique and into constructive endeavours or affirmative critique, require the courage to ‘stick one’s neck out’ and make value-based normative recommendations for how things should be organized in better ways. Failure and being wrong are obvious dangers. But there might be ways of doing it playfully and in safe spaces, experimentally, creatively, and collectively, which resonates strongly calls for an experimental sociology (Thrift 2011), inventive and speculative methods (Lury and Wakeford 2013; Michael 2016). It also sits well with suggestions that it is not necessarily deliberation or consensus that should be sought. Instead participatory designers and action researchers are calling on us to engage in infrastructuring for participation, seeking to include and enable dissent, debate, ongoing experimentation (Ehn 2008; Dantec and DiSalvo 2013)
Levitas’ utopia as method (2013)provides perhaps the most integrative framework for these endeavours. This is a creative appropriation of utopia not as a blueprint of a ‘better’ world designed by experts, but a method to engage diverse stakeholders in making better pockets of the world together, all the while remaining open to experiencing how and for whom this worldly constellation is (not) better and how. Collective narrative methods and visual story-building methods are particularly suited (Porritt 2013; McKay and Dickson 2016; Popan 2018)
None of these contributions have so far made it into definitions of SRL. The Danish Innovation Fund’s focus on validation, testing, deployment supports experimentation, but it is driven by a concern with social acceptance (and not the acceptability) of innovation, based on a deficit model of poor public understanding of science and technology. To ask, with Tsing(2015), and through research and innovation, ‘what if the time was ripe for sensing precarity?’ and ‘what constitutes living with it well?’, SRL need to be co-created, they need to measure how innovations enable a good ‘new normal’, and this needs to be open to contestation.
References
Allwood, Julian M., Timothy G. Gutowski, André C. Serrenho, Alexandra C. H. Skelton, and Ernst Worrell. 2017. ‘Industry 1.61803: The Transition to an Industry with Reduced Material Demand Fit for a Low Carbon Future’. Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences375 (2095). https://doi.org/10.1098/rsta.2016.0361.
Arnstein, Sherry R. 1969. ‘A Ladder Of Citizen Participation: : Vol 35, No 4’. Journal of the American Institute of Planners35 (4): 216–24.
Braidotti, Rosi. 2011. Nomadic Theory: The Portable Rosi Braidotti. New York: Columbia University Press. https://www.amazon.co.uk/Nomadic-Theory-Portable-Braidotti-Paperback/dp/0231151918.
Cardullo, Paolo, and Rob Kitchin. 2019. ‘Being a “Citizen” in the Smart City: Up and down the Scaffold of Smart Citizen Participation in Dublin, Ireland | SpringerLink’. GeoJournal84 (1): 1–13.
Christensen, Clayton M. 1997. The Innovator’s Dilemma. Boston, Massachusetts: Harvard Business Review Press.
Christensen, Clayton M., Michael E. Raynor, and Rory McDonald. 2015. ‘What Is Disruptive Innovation?’ Harvard Business Review, 1 December 2015. https://hbr.org/2015/12/what-is-disruptive-innovation.
Dantec, Christopher A Le, and Carl DiSalvo. 2013. ‘Infrastructuring and the Formation of Publics in Participatory Design’. Social Studies of Science43 (2): 241–64. https://doi.org/10.1177/0306312712471581.
EDPS. 2015. ‘Opinion 4/2015: Towards a New Digital Ethics. Data, Dignity and Technology’. https://edps.europa.eu/sites/edp/files/publication/15-09-11_data_ethics_en.pdf.
———. 2018. ‘Public Consultation on Digital Ethics’. https://edps.europa.eu/sites/edp/files/publication/18-09-25_edps_publicconsultationdigitalethicssummary_en.pdf.
Ehn, Pelle. 2008. ‘Participation in Design Things’. In Proceedings of the Tenth Anniversary Conference on Participatory Design 2008, 92–101. PDC ’08. Indianapolis, IN, USA: Indiana University. http://dl.acm.org/citation.cfm?id=1795234.1795248.
Felt, U., and B. Wynne, eds. 2008. Taking European Knowledge Society Seriously. Vimodrone, IPOC: IPOC di Pietro Condemi. https://sts.univie.ac.at/fileadmin/user_upload/i_sts/Ueber_uns/pdfs_Felt/taking_european_knowledge_society_seriously.pdf.
Gross, Matthias. 2010. Ignorance and Surprise | The MIT Press. Cambridge, MA, USA: MIT Press. https://mitpress.mit.edu/books/ignorance-and-surprise.
Introna, Lucas D. 2007. ‘Maintaining the Reversibility of Foldings: Making the Ethics (Politics) of Information Technology Visible.’ Ethics and Information Technology9 (1): 11–25. https://doi.org/10.1007/s10676-006-9133-z.
Kaika, Maria. 2017. ‘“Don’t Call Me Resilient Again!”: The New Urban Agenda as Immunology … or … What Happens When Communities Refuse to Be Vaccinated with “Smart Cities” and Indicators’. Environment and Urbanization29 (1): 89–102. https://doi.org/10.1177/0956247816684763.
Latour, Bruno. 2008. ‘A Cautious Prometheus ? A Few Steps Toward a Philosophy of Design’, September. https://hal-sciencespo.archives-ouvertes.fr/hal-00972919.
Levitas, Ruth. 2013. Utopia as Method - The Imaginary Reconstitution of Society. Basingstoke: Palgrave Macmillan UK. https://www.palgrave.com/gp/book/9780230231962.
Mankins, John C. 1995. ‘Technology Readiness Levels. White Paper’. NASA. https://aiaa.kavi.com/apps/group_public/download.php/2212/TRLs_MankinsPaper_1995.pdf.
McKay, J, and B Dickson. 2016. ‘Dreams of a Low Carbon Future : Doctoral Training Centre in Low Carbon Technologies’. Leeds University. https://lowcarbon.leeds.ac.uk/dreams-of-a-low-carbon-future/.
Mosley, Stephen. 2009. ‘“A Network of Trust”: Measuring and Monitoring Air Pollution in British Cities, 1912-1960’. Environment and History15 (3): 273–302.
Nowotny, Helga, Peter Scott, and Michael Gibbons. 2001. Re-Thinking Science: Knowledge and the Public in an Age of Uncertainty. Cambridge: Polity. https://www.amazon.co.uk/Re-Thinking-Science-Knowledge-Public-Uncertainty/dp/0745626084.
Popan, Cosmin. 2018. Bicycle Utopias: Imagining Fast and Slow Cycling Futures. London: Routledge. https://www.amazon.co.uk/Bicycle-Utopias-Imagining-Changing-Mobilities/dp/1138389188.
Porritt, Jonathan. 2013. The World We Made: Alex McKay’s Story from 2050. Phaidon Press. https://www.amazon.co.uk/World-We-Made-McKays-Story/dp/0714863610.
Schraudner, Martina, Fabian Schroth, Malte Juetting, Simone Kaiser, Jeremy Millard, and Shenja Can der Graaf. 2018. ‘Social Innovation The Potential for Technology Development, RTOs and Industry.  Policy Paper’. Fraunhofer. http://www.thertoinnovationsummit.eu/en/wp-content/uploads/2019/01/20181220_RTO-Innovation-Summit_Policy-Paper-1.pdf.
Stilgoe, Jack. 2016. Experiment Earth: Responsible Innovation in Geoengineering. Boca Raton: CRC Press. https://www.crcpress.com/Experiment-Earth-Responsible-innovation-in-geoengineering/Stilgoe/p/book/9781138691940.
Thrift, Nigel. 2011. ‘Lifeworld Inc—And What to Do about It’. Environment and Planning D: Society and Space29 (1): 5–26. https://doi.org/10.1068/d0310.
Tsing, Anna Lowenhaupt. 2015. The Mushroom at the End of the World. Princeton, New Jersey: Princeton University Press. https://press.princeton.edu/titles/10581.html.
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phgq · 5 years ago
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Power in seven Samar towns restored
#PHinfo: Power in seven Samar towns restored
CATBALOGAN CITY, Jan. 7 (PIA) -- Seven municipalities in the Second District of Samar now have stable power connection after the onslaught of Typhoon Ursula last December 24, 2019 based on the Power Restoration Report of the Samar II Electric Cooperative (SAMELCO II) as of Sunday.
The said typhoon caused several damage to power lines and caused power outage since.
The estimated damage totalled to P19,817,484 with the municipality of Sta. Rita having the biggest damage amounting to P4,053,719.
At present, the municipalities of Hinabangan, Jiabong, Talalora, Motiong, Paranas, San Sebastian, San Jose de Buan are 100 percent energized. This totals to 22,177 households whose power lines were restored.
On the other hand, Catbalogan City has a 98 percent completion rate wherein 56 out of 57 barangays have been energized. Brgy. Basiao, an island barangay, is the lone barangay yet to be powered. Basiao is nearer to Zumarraga and connects its line from one of the barangays of the latter, which is yet to be powered, too.
Moreover, Basey already has 47 percent of energized barangays, Calbiga with 80 percent, Marabut with 79 percent, Pinabacdao with 75 percent, Sta. Rita with 68 percent, Villareal with 74 percent, Zumarraga with 76 percent, and Daram with 34 percent. A total of 411 out 524 barangays or 76,061 out of 90,190 households whose power lines have been restored in the district.
Daram, an island municipality, has a low completion rate as the restoration is done manually including the transfer and installation of electrical posts.
A Power Restoration Rapid Deployment (PRRD) Taskforce has likewise been deployed in three teams to the badly hit municipalities of Basey, Marabut and Sta. Rita.
The PRRD Taskforce is composed of around 78 linemen from Samar Electric Cooperative I (SAMELCO I), Leyte Electric Cooperative IV (LEYECO IV), Siargao Electric Cooperative (SIARELCO), Dinagat Island Electric Cooperative (DIELCO), Davao del Norte Electric Cooperative (DANECO) and Bukidnon Second Electric Cooperative (BUSECO).
Aside from the linemen, these electric cooperatives also brought with them boom trucks and other heavy equipment.
SAMELCO II asks the understanding of the community in their efforts to restore power lines.
“As much as we want to accommodate the requests of consumers who wish for their households to be energized, we follow a restoration procedure,” Dickson Q. Bernales, Member Education Division Supervisor of SAMELCO II said.
“We prioritize our backbone line which traverses to the city and town proper areas as there is a necessity to energize the offices especially the City and Municipal Halls. After the backbone lines, there is the lateral lines that now enters the barangays. The third priority is cluster of houses and last is individual houses,” Bernales added.
Bernales also shared that SAMELCO II General Manager Joey Talon issued a marching order to energize all barangays by January 15, 2020. (LDL/GMT/PIA-8, Samar)
***
References:
* Philippine Information Agency. "Power in seven Samar towns restored." Philippine Information Agency. https://pia.gov.ph/news/articles/1032405 (accessed January 07, 2020 at 03:27PM UTC+08).
* Philippine Infornation Agency. "Power in seven Samar towns restored." Archive Today. https://archive.ph/?run=1&url=https://pia.gov.ph/news/articles/1032405 (archived).
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robertbryantblog · 6 years ago
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Where Who Is Hosting Vmas 2018
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johnattaway · 6 years ago
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quickclickhosting · 6 years ago
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skqq-net · 6 years ago
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CentOS vs Ubuntu: The Best OS For Your Server
Deciding on an working plot (OS) in your server will seemingly be now not simple. Whereas you may properly additionally trustworthy know what you will have in phrases of optimum efficiency and stability, the ideas for the OS will seemingly be complicated.
This comparability evaluations two neatly-liked working packages for Linux – CentOS vs Ubuntu. They’re in total when put subsequent to 1 another as they each impact with high quality and pattern. However every and every has its discover fanbase with numerous argumentation of what is the handiest working plot.
So, what’s higher in your server – CentOS or Ubuntu? Let’s be taught about and overview their strengths and weaknesses!
What’s CentOS?
CentOS is an RPM-essentially basically based mostly Linux distribution maintained and managed by the neighborhood. It become launched in 2004 and in actuality it is miles a free model of Crimson Hat Enterprise Linux (RHEL), with a pair of variations thrown in.
In contrast to RHEL, which comes with paid buyer strengthen and is a commercialized product, CentOS is absolutely free to utilize.
It moreover combines aspects from Debian, Linux/Fedora, and FreeBSD to create a secure server ambiance with 3-5 existence cycle clusters. In contrast to many assorted working packages, CentOS maintains each disbursed model for 10 years, with releases each 2 years.
What’s Ubuntu?
Ubuntu is a Debian-essentially basically based mostly working plot dilapidated on servers, desktops, medicine, and smartphones. It’s an birth-source distribution contributed by builders from throughout the globe. That’s the way it developed right into a additional as lots because the second and intuitive interface.
Throughout the earlier numerous years, Ubuntu has gained recognition by providing its clients with a secure, sturdy, and secure platform on which to deploy features.
Its utility is up so far and supported for an prolonged interval of time, with utility variations by no means altering throughout the course of a beginning.
CentOS vs Ubuntu: The Key Variations
Ubuntu and CentOS have a bit bit numerous approaches to administration, upgrades, and strengthen. They moreover fluctuate in phrases of ease of use.
To higher overview CentOS vs Ubuntu, let’s battle all through the important thing variations between these working packages.
Ease of Administration
Ubuntu vs CentOS fluctuate in phrases of their administration plot. CentOS is in response to RedHat, which makes use of Crimson-hat equipment supervisor (rpm), and Ubuntu is in response to Debian which makes use of developed equipment utility (noble).
One different usability-linked facet that may properly additionally trustworthy wait on web webhosting purchasers to make a distinct CentOS is its web webhosting administration panel compatibility. CentOS beautiful grand dominates throughout the achieve webhosting world, providing the massive majority of web webhosting administration panels (enjoyment of cPanel and InterWorx).
Picture supply: whoishostingthis.com
So, in case your design is to obtain web webhosting options using some fabricate of a administration panel – cPanel or its picks, – then CentOS is the most convenient possibility by far.
Nonetheless, clients who go for Ubuntu’s desktop model will most seemingly face far fewer difficulties in adapting to the server model.
One different essential incompatibility of CentOS vs Ubuntu in phrases of ease of use is Ubuntu’s graphic consumer interface (GUI) that’s simpler than the issue-line interface (CLI) on CentOS.
Picture supply: ostechnix.com
In phrases of administration and ease of use, it is extra easy to adapt Ubuntu to the server model. Nonetheless, CentOS helps principal webhosting administration panels which makes it useful to utilize.
Ubuntu vs CentOS Give a improve to
CentOS vs Ubuntu fluctuate in phrases of beginning and strengthen cycles. CentOS comes with drastically longer beginning cycle and an prolonged strengthen existence: the interval between strengthen releases will seemingly be as grand as 7 years, whereas strengthen existence is as lots as 10 years. Ubuntu releases its Lengthy Interval of time Give a improve to each 2 years and is derived with a 5-year strengthen existence.
CentOS 6 has had 5 minor stage releases since its first beginning in 2010. All of these releases will seemingly be supported until 2020. So whilst you communicate a excessive worth on a protracted strengthen cycle and consistency, CentOS is the higher completely different.
One different key incompatibility is the beginning cycle. Since CentOS is in response to Crimson Hat, the releases are additional uncommon, which some would argue makes them additional secure. Nonetheless, this moreover manner that a few of the essential utility will seemingly be outdated.
Ubuntu makes use of a time-essentially basically based mostly beginning cycle, so each two years they’re going to beginning a protracted-term strengthen version. Furthermore, Ubuntu most steadily has releases each six months to obtain probably the most trendy utility developments. In phrases of releases, Ubuntu is way ahead.
CentOS isn’t precisely on the forefront of cutting-edge utility, with upgrades happening pretty sometimes. As a different, nonetheless, CentOS prioritizes safety and consistency over prompt utility updates.
Ubuntu, on the numerous hand, is a bit a lot much less conservative in phrases of upgrades. Attributable to this reality, Ubuntu clients will in total have updates land of their repos sooner than CentOS clients.
As for consumer strengthen, Ubuntu gives additional documentation as neatly as free tech strengthen. Its server model has additional cloud and container deployment strengthen.
CentOS focuses on stability in would favor to frequent updates. However whereas Ubuntu has additional updates than CentOS, this doesn’t essentially imply a lot much less stability or a lot much less safety.
CentOS vs Ubuntu: A Abstract
Ubuntu is a additional neatly-liked possibility with an impressive strengthen neighborhood whereas CentOS gives additional safety and stability. All in all, it in actuality comes all of how by which all the way down to the motive of use for every and every working plot as neatly as the size of your on-line enterprise.
Ubuntu is broadly dilapidated, that manner it in total is a obtain completely different for newbies – given its substantial consumer inappropriate, Ubuntu has a wealth of on-line sources, tutorials, and on-line boards. This makes discovering options to issues grand extra easy. Alongside with that, Ubuntu repeatedly improves and has frequent updates.
CentOS is moreover a staunch completely different for petite and medium-sized companies and websites requiring cPanel. Whereas its consumer inappropriate is grand smaller than Ubuntu, CentOS gives premium strengthen. Additionally, you may properly take the safety and consistency of lengthy beginning cycles.
Ubuntu has a tremendous consumer inappropriate, lots of reduction sources, and a extra easy GUI. CentOS helps cPanel and, as a different of providing frequent upgrades, focuses on consistency.
So, the battle of CentOS vs Ubuntu has no decided winner – each are gigantic merchandise. At this stage, the most convenient working plot in your server relies upon to your needs!
CentOS execs:
Wonderful and secure
Properly matched web webhosting panels (cPanel)
Ubuntu execs:
Releases each six months (repeatedly up-to-date)
Free tech strengthen
Simple for newbies – a amount of reduction and tutorials
CentOS cons:
Little neighborhood of shoppers and builders
Tiny library of tutorials and guides
Uncommon updates – will seemingly be outdated
Ubuntu cons:
A lot much less obtain
Frequent updates can lead to OS instability
The put up CentOS vs Ubuntu: The Most interesting OS For Your Server appeared first on Internet Internet webhosting Opinions by True Prospects and Internet Internet webhosting Consultants.
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hadoopcourse · 7 years ago
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An Insight into Hadoop Administration Training
With cluster and cloud computing dominating the scenes of high-performance computing, many of us are turning to get trained and keep up with the most recent trending technologies. Hadoop is one of the most software that has been widely used. Due to this, there's a vast want for Hadoop administrators. There are several vendors who provide Hadoop administration coaching.
What is Hadoop?
Hadoop is an open source software system platform for handling massive amounts of data. it's been developed and managed by Apache software foundation with many different external developers who contribute to that.
Read more--- Hadoop training in Pune
So, mainly, it will store huge or big data in computers starting from one single server to a cluster of individual servers. a data processing software package is put in on every and each pc that belongs to the cluster and that they are used to perform data processing activities.
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Hadoop works in such a way that, every one of the computers in an exceeding cluster will individually and independently perform the data process on the data. Just in case of any hardware or network failure within the cluster will be paid by other computers on the cluster.
This freelance nature of the computers within the cluster makes it relatively simple to rescale or down the cluster. Additionally, instead of relying on hardware to supply the simplest performance, the computers on the cluster facilitate in providing competent performance.
What is Hadoop Administration?
When things operate in a group, we'd like a supervisor. In computer terms, the supervisor is named the administrator. This administrator or admin is chargeable for the upkeep of the computers within the cluster. Need more information about Hadoop Admin Training in Bangalore 
The administrator is chargeable for the performance and handiness of the computers on the cluster. With the exception of this, the data gift within the system and also the jobs that run in it are the administrator's responsibility. He/she will be required to take on tasks like configuration, monitoring, backing up, hassle shooting, upgrades, deployment, job management etc,
Hadoop Administration coaching is obtainable in classrooms similarly as online
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.Prerequisites
Prior data of Hadoop would be sensible though it's not obligatory with most coaching institutes. You’re needed to own previous data on administration of Linux servers.
Skillset acquired from coaching
The skills instructed are divided into 3 classes, foundation, and implementation and advanced. Once learning skills under foundation, you'd learn the fundamentals of Apache Hadoop and HDFS that is the file system of Hadoop. You’d also learn why you'd want Hadoop. at the side of this, you'll learn Map Reduce and different technologies from that Hadoop evolved.
When it involves the implementation part, you'd find out how to set up cluster size, deploy and tack together a cluster, learn a number of watching aspects and tools, Service and log management at the side of audits and alerts, backup.
For advanced coaching, you'd cover the basics of troubleshooting, diagnostics, and recovery, securing the platform and optimizing the performance of the Hadoop cluster.
After the completion of the course, you may take up a certification program offered by PRWATECH to own an authorized certificate to your credit. They offer you the best Hadoop admin online training in Pune
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priyavermask · 7 years ago
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Why Learning Hadoop Administration Can be the Best Bet of Your Career?
Hadoop training in Delhi is now seen as the widely accepted career choice. In the modern scenario where cluster and cloud computing rule the world of high performance computing, most of the people are showing interest in learning the latest trends of technologies.. Due to this, the need for Hadoop administrators has arisen. There are different hadoop institutes in Delhi which offers the Hadoop administration training.
Hadoop-An Insight
Hadoop is known as an open source software platform which is used for handling the huge amounts of data. Developed by Apache software foundation, it has been contributed by various other developers. So primarily, it can store huge data in computers varying from single server to a group of servers. Data processing software is installed on every computer which belongs to the cluster and used to perform data processing activities.
Hadoop works in a way that every computer in a cluster can separately perform the data processing. In case of any failure of hardware or network in the cluster, other computers are able to compensate for it. Due to the independent nature of the computers, it is easy to scale up or even scale down the cluster. Besides this, computers on the cluster are able to provide competent performance rather than simply relying on the hardware.
Hadoop is basically a framework that is helpful in distributed processing of huge data sets. It does so by using a network of computers and by combining the simple programming models. It is mainly born to scale single servers up to various machines, each that can offer local computation as well as storage. To deliver the high availability as well as uptime of 99% and rather than relying on hardware, the library is able to detect and handle failures at the application layer. Providing a value based service atop a network of computers that might prone to failures is the objective which is attained with the Hadoop project.
Role of Hadoop Administration
While things start operating in a group, we require a supervisor. In computer world, the supervision is known as the administrator. The admin is responsible for the maintenance of the computers in the cluster. He constantly works for the performance as well as availability of the computers on the cluster. Other than this, the data present in the system and the jobs which run in it are also known as the administrators’ responsibility.
The data available in the system and the jobs which run in it are other functional areas of the admin. He is required to work on tasks like monitoring, configuration, trouble shooting, backing up, deployment, upgrades and job management.
Hadoop training is nowadays available in classrooms and online. Talking about the prerequisites for the training, it is there and helpful in the long run. Though it is not mandatory, but prior knowledge of Hadoop will be good with most Hadoop institute in Delhi. You need to have an idea of administration of Linux servers.
Training Helps You Learning the Skill Set!
The skills taught are segregated into three categories which are foundation, implementation and advanced. Learning skills under foundation will help you learn the basics of Apache Hadoop and HDFS known as the file system of Hadoop. You would also come to know why you would require Hadoop. Besides this, you will also gain an insight on learning MapReduce and various other technologies from which Hadoop has evolved.
The implementation part will make your learn so many things in row. It includes planning the cluster size, deploying and configuring a cluster and learning a few monitoring aspects and tools, log management with audits and alerts and backup.
You would cover the basics of diagnostics, troubleshooting and recovery in advanced training. It also includes protecting the platform and optimizing the performance of the Hadoop cluster. At the completion of the course, you can go about taking up a certification program offered by big brands which will enable you to have an accredited certificate to your credit.
There are institutes that offer big data courses in Delhi. The training course enables you to learn various features of Hadoop and complete understanding of the framework functioning. It starts with introducing people to Hadoop framework, as basic outline about the various tools and functionalities, usages and history. All types of doubts associated with the need of Hadoop, its benefits over the previous framework will be understood to create a strong foundation for the course. It will further be compared with the existing traditional file systems. Once a person is done with the components and architecture of the framework, he will start learning the next level of learning. The next level makes you learn about the Hadoop Distribute File System. It includes design, overview and compatibility. Moving towards stages like planning and deployment, you finally learn how to work with Hadoop and become a Hadoop professional.
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kryptonight83-blog · 8 years ago
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gbenro · 8 years ago
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#Vacancy Operations support and Logistics (OSL) Lead (Duty Station : Nigeria, South Sudan, Ethiopia, Democratic Republic of Congo, Mali, Somalia, Yemen, Syria, Afghanistan)
Job Description - (1702334)Operations support and Logistics (OSL) Lead (Duty Station : Nigeria, South Sudan, Ethiopia, Democratic Republic of Congo, Mali, Somalia, Yemen, Syria, Afghanistan) - (1702334)  Grade: P4Contractual Arrangement: Fixed-Term AppointmentContract duration: One year. Extension subject to availability of funds,satisfactory performance and operational needs.
Job Posting
: Jul 26, 2017, 2:38:55 PM
Closing Date
: Aug 25, 2017, 11:59:00 PM
Primary Location
: Multiple locations
Organization
: HQ/EMO Emergency Operations
Schedule
: Full-time  
Purpose of the Position :
In the context of the WHO Health Emergencies Programme, the incumbent has front line responsibility for the provision of a well-rounded logistics and operations support service that enables WHO to successfully implement a rapid, fully functional emergency operation.  This includes providing the Organization with the tactical means to perform its mission in the best possible conditions, and organizing all requirements for working, living, communicating and transporting commodities, defining and setting up appropriate supply chain strategies that matches the health response needed and providing health logistics support to ensure that WHO health activities are performing up to Sphere standards.  The incumbent will be deployed to emergency operations when required.
Objectives of the Programme and of the immediate Strategic Objective :
The mission of WHO’s Health Emergencies Programme (The Programme) is to help countries, and to coordinate international action, to prevent, prepare for, detect, rapidly respond to, and recover from outbreaks and emergencies.
Organizational context :
The incumbent will report to the WHO Health Emergencies (WHE) Lead and Head of WHO Country office, under the overall guidance of the OSL HQ or respective regional office operations leads, and will collaborate with relevant technical officers. Within the delegated authority, the incumbent will act as the field Team Lead for Operations Support and Logistics and has front-line responsibility for supervising and coordinating:
-The setup of adequate facilities, means and organization to support WHO (and partners when required) field emergencies activities.
-The establishment of an adequate supply chain for the provision of all necessary emergency goods required to support the WHO(and when required partner’s) activities in adequate quantity, quality and in a timely manner.
-The provision of health logistics expertise, guidance and when required hands-on support to the WHO health activities during managing/supporting health facilities.
Successful completion of assignments requires establishment of solid partnership with other UN actors and NGO’s present in the incident site together with ongoing contacts with counterparts at HQ, Global Service Center (GSC), regional and country offices to exchange information, obtain services and follow-up on orders and deliveries, as well as with technical staff engaged in field operations to provide support and services.  The work also involves ongoing contacts and negotiations with officials from local authorities related to operations support and logistics management.
The present position under WHE (which is a single programme across the Organization) may be relocated to another duty station, including at Regional or Country level, based upon the technical needs of the Programme.
Summary of Assigned Duties : The incumbent will carry out all or part of the following duties:
Strategy & management
- Participate actively in the overall management of the WHO emergency response through providing the WHE Lead with an OSL strategy to ensure the effective integration of logistics operations into WHO's and the health cluster’s overall strategy.  Plan an end to end, timely and efficient provision of quality and adequate equipment and consumables to support emergency response operations, aiming to reduce the consequences of crises on health systems and populations.
- Establish partnerships, operational synergies and coordination of the logistics response, at national level, to ensure effective management of an outbreak and/or health emergency incident, ensuring close engagement with the national authorities and partners in both the Health and Logistics Cluster (or similar coordination structures).
- Lead and manage the OSL field team, ensuring compliance of the services provided with the OSL procedures and the WHO/OSL quality standards.
Supply chain management:
In compliance with the WHO rules and regulations, based on a comprehensive forecast of the supply needs and whenever possible with the support of the UN partners present (WFP and logistics cluster):
- Plan and oversee the effective transportation, delivery and storage of national and international operational support and programme supplies, for WHO's emergency operations in the field.
- Liaise with responsible officials to ensure timely and efficient customs clearance, reception of international supplies; adapt existing or develop and implement inventory/stock control management mechanisms; develop and apply monitoring tools, and reporting systems.
- Supervise the maintenance of the required stockpiles of essential emergency equipment, e.g. personal deployment material, radios, satellite telephones, IT equipment, etc.
- When required, support the national authorities in leading and coordinating the national distribution plan of essential items to the health facilities network.
Operation’s support:
- In close collaboration with the WHO Administrative Officer, coordinate the establishment of the required field offices and telecommunication network capacity in compliance with WHO rules and procedures.
- Ensure adequate staff transportation means and organizational set up. In compliance with WHO standards, supervise the fleet management procedures including planning, maintenance, monitoring and reporting.
Health logistics:
- Manage a robust organizational model and adequate means to support WHO mobile/ambulatory health activities.
- Oversee that the health facilities supported by WHO are adequately set up, and equipped to standard to sustain the medical activities conducted.
- Provide adequate support to the laboratories (supported by WHO) including adequate supply of renewable items and safe transportation of samples when required
- Ensure, for all health activities supported by the WHO, that water, sanitation and infection control required activities are in place and up to standard.
Security support:
- Cooperate with the Field Security Officer in ensuring the well-being, security and safety of the WHO team members and responders, providing the Organization with the required means and setup to ensure applicability of the WHO site event risk reduction policy.  Ensure that appropriate and safe living conditions are provided to WHO-deployed staff and responders.
Assessment and monitoring:
- Participate proactively in regular field assessments to monitor supply management, stock movements and storage conditions.
- Conduct field visits to assess locations/buildings to be selected for establishment of WHO field offices in compliance with MOSS rules and procedures.
Other:
- Perform any other related incident-specific duties, as required by the functional supervisor.
Recruitment Competencies:
1. Teamwork;
2. Respecting and promoting individual and cultural differences;
3. Communication;
4. Creating an empowering and motivating environment.
Functional Knowledge and Skills
- Excellent analytical skills with the ability to coordinate people, activities and multitask.
- Excellent skills and knowledge in the area of Logistics Management and operations .
- Excellent interpersonal skills with ability to negotiate with and convince officials with tact and diplomacy.
- Ability to write in a clear and concise manner, and to present factual information to achieve desired results.
- Knowledge or understanding of WHO mandate and goals in the emergency incident management context.
Education Qualifications
Essential
University degree in public or business administration, logistic management, engineering or a related field from an accredited/recognized institute.Desirable
Professional certification/qualification in areas such as transport, distribution and supply chain management. Degree or training in information management systems and their application to logistic, transport or supply management and monitoring.
Experience
Essential
At least seven years’ related experience, at national and international levels, in managing emergency logistics operations and supply operations in international organizations/institutions, part of which in the field supporting emergency humanitarian operations.
Desirable
- Prior working experience with WHO, UN agencies, health clusters partners, recognized humanitarian organizations or with an international nongovernmental organization.
- Experience or knowledge of import/export and customs administration
Use of Language Skills
Excellent knowledge of English or French (depending on the country of assignment). Working knowledge of another WHO official language would be an asset.
Other Skills (e.g. IT)
- Excellent knowledge of Microsoft Office applications.
- Demonstrated computer skills with emphasis on databases management to monitor supplies and inventory, and forecast needs.
- Demonstrated skills in using equipment such radio and satellite phones. https://tl-ex.vcdp.who.int/careersection/ex/jobdetail.ftl?job=1702334
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