Greece is currently ranked among the top destinations to visit in Europe. This is due to its amazing plethora of ancient ruins, sunny beaches, whitewashed villages, friendly atmosphere, and tasty cuisine.
Here is a closer look at the top best destinations to visit in Greece. 1: Santorini. Besides the Cyclades group, this destination is one of the most picturesque across the globe. It consists of many villages such as Oia and Fira that cling to the cliff sides overlooking the turquoise sea. One amazing thing in these villages is that there are several zigzagging steps ascending and winding through the rows of tiny pretty houses and cobblestone lanes with blue-domed roofs. 2: Athens. This is yet another amazing destination in Greece https://casinoslots.sg/aztec-adventure. Athens has been in existence for over 3,000 years and it is known as the birthplace of democracy and the cradle of western civilization. It’s also popular for its archaeological monuments and ruins like the Ancient Agora and Acropolis. 3: Meteora. This is a great sight with spectacular cliffs, which rise well over 266 meters (1,200 feet) into the air. These cliffs overlook the villages of Kastraki and Kalambaka located in the north central of Greece’s mainland. The historical monasteries that are perched along the summits make these cliffs even more incredible. 4: Delphi. This destination is also among the most popular archaeological sites in Greece. It comes second after the Acropolis in Athens and is located nearby, just along the slopes of Mount Parnassus. 5: Crete. Crete is the largest and more spacious island in Greece. The landscapes range from rugged mountains to stunning coastlines and are covered with olive trees. Additionally, this island also bears some archaeological traces of the various civilizations, which inhabited it long-long time ago. Yacht charter in Greece is a perfect way to reach Crete and enjoy its surroundings. 6: Mykonos. An active lifestyle friendly atmosphere and buzzing nightlife scene are some of the many reasons why Mykonos has been ranking as one of the most visited islands in Greece. It is located in the Aegean Sea and is one of the Cyclades island group. It features a modern and cosmopolitan community blended with ancient whitewashed houses, maze-like streets, and colorful verandas. A truly perfect place for a gorgeous Mykonos wedding. 7: Peloponnese. Traditionally, this destination was known as Morea, which stands for ‘mulberry leaf’. It is located in the southern part of both Greece and Europe. This place has also plenty of historical sights and remnants of ancient cultures. 8: Rhodes. It is among the best places to visit while in Greece because of its historical significance and great beaches. Being the largest and capital island of the Dodecanese archipelago, Rhodes hosts many visitors round the year. It is regarded as one of the best islands due to the wide variety of flowers and lush pine forests. 9: Corfu. Corfu is a great and famous yachting destination in Greece situated in the Adriatic Sea. Apart from being immersed in the Greek mythology, this destination also reflects the diverse architectural and cultural influences of the various foreign empires, which ruled it for many years. 10: Thessaloniki. It is the second largest city in Greece and serves as the capital city of the Macedonian region along the northern part of Greece. It is well known for its social events and lively festivals. The city is also a commercial district and the historical center, and therefore it has both historical and modern attractions such as White Tower, Turkish baths, and Byzantine walls.
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So, click a button, move the data. If you want it to be a replica, click a button and say "replicate." If you want to just move it, just click a button and move it. It's literally that easy. >> And so the customers can choose where to put the data.
>> Yes. >> Can they do a public version of this, or only private? >> Both, it connects to public as well https://casinoslots.sg/online-roulette. >> Okay, so that was Jenny's mention, okay cool. What's the most exciting thing for you this week going on in your world? Obviously, center of the value proposition, and Jenny used your lines so I'm sure you fed her some good sound bytes there, because she was basically taking your pitch as the headline for the keynote. Is that the highlight, or is it customer activity? >> I think the exciting thing, and Jenny did talk about it, is connecting data to AI. I'd say many clients have kind of thought of those as two different topics. We do that in three ways. We say common machine learning fabric. You can build a model in Watson, you can deploy it where your enterprise data is or vice versa. We do that with the metadata. You create business or technical metadata on-premise, you can push that to Watson or vice versa. And like we just talked about, we make the data movement incredibly easy. So we're uniting these two worlds of data and AI that have tended to be different parts of an organization in many clients. We're uniting that, I think that's pretty interesting. >> All right, so final question, I've got to ask the tough one, which is, okay, Rob I love it, but I'm really not paying attention to the data because I've got my hands full in my IT transformation and we're making critical decisions on cloud globally, I've got multiple regions to deal with, I got different issues outside in each digital nation, but I'm going to get the data after. What's in it for me, your whole pitch? I'm dealing with cloud right now, so why should I be cross-connecting with the cloud decision and the cloud conversations that relate to the benefit of what you're doing? >> If you're not paying attention to the data, you're not going to be around. So your cloud decisions are kind of worthless, because you're not going to be around if you're not paying attention to the data. >> So I can make a bad cloud decision if I don't factor in what? >> I believe you have to think about your data strategy. Look, every organization is going to be multi-cloud, but you have to have a single data strategy regardless of what your cloud strategy is. You've got to think about all those building blocks I talked about. Manage data, collect data, govern data, analyze data. That has to be one strategy regardless of cloud. If you're not thinking about that, you're in trouble. >> Or making sure that I have Kubernetes? Is that a good decision? >> That is a great decision. >> (laughs) >> Makes it really easy, seamless to deploy applications, to deploy data, to move it around clouds. Makes it really easy. >> And what's the business model for containers? Kind of shifts to being a commodity? >> I think over time, yes, but there's so much to do around containers because containers, again, go back to the analogy. It's just the crate. >> John: Makes things easy. >> It's not the cargo, it's not the ship. It's just the crate, it's one piece. >> Yeah, and there's no, a lot of choice there, too. Clients can do whatever they want. >> Yeah. All right, we love Kubernetes. We'll be at KubeCon in Copenhagen next month, so keep a lookout there for us. This is Rob Thomas, here inside the Cube, here at IBM Think, breaking down all the action in the data science world, data world. It's the center of the value proposition. Main story here at IBM Think is data at the center of the value proposition for the modern enterprise. I'm John Furrier inside the Cube. We'll be back with more after this short break. (light electronic music) How does that fit for data? I'm just putting a container on data sets? Who's addressing the envelope of that container?
How is that addressable? I mean, how does it work? >> Let me give you an analogy. So you go back to the year 1955. There is no standards in any shipping port around the world. Everybody is literally building their own containers, building their own ships, building their own trucks. It's incredibly expensive and takes forever to get cargo to move from one place to the next. 1956, a guy named Malcom McClean, he invents the first intermodal shipping container, patents it. It becomes the standard. So now, every port, every container looks identical. What's the benefit? Sure, it made more flexibility. Saved lot of money, 90% of the cost came out of shipping a container. But the biggest thing is it changed commerce. So, you look at GDP at that time, it took off. All because of the standardization around a form factor that made it accessible to everybody. Now, let's put that in the IT world. We got containers for the application world. Made it much easier to deploy, a standard, again. >> Yeah, and program around. >> More cost-effective, more-- Yep, exactly. What's the cargo in IT? It's data. Data is the cargo, that's what's sitting inside the container. Now you have to say, how do we actually take the same concepts that we did for applications, make that available for data so that my data can fit anywhere? That's what we're doing. >> How does that work and what's the impact to the customer? >> Is it IBM software that you're doing? Is it Kubernetes open source software? Just tie that together for me. So IBM Cloud Private is our Kubernetes distribution, with some different pieces we put on it. When you add the Cloud Private for Data, it's got a Spark Engine, like everything we do it's based on open source to start with. And then we have an experience for a data scientist, an experience for a data analyst. It's your view to your enterprise data. You'll love the UI when you see it. First, above the fold, all my machine learning models in the organization, what's working, what's not working. Below the fold, what's my data? Structured or unstructured? Sensitive, non-sensitive? I click it on, I can see all of my data. Hadoop, Cloud-A, Cloud-B, Cloud-C, on-premise system. It's get a view to all of your data. >> So is the purpose to move the data around? >> No, the purpose is actually the exact opposite. Leave the data in place, but be able to treat it as a single data environment. We're doing a lot of work with Federation, our SQL technology which historically, as we all know, Federation hasn't really performed. We have it performing. >> Okay, so I'm just, in the use case in my head, so I store the data on my private, secure, comfortable, feeling good about it, but I have a public cloud app. How does that work? Is it a replica of the data? Is it just the container that makes it addressable? How does that move across? Without those things, you just have a shiny object and not necessarily an outcome. That's why these building blocks are fundamental. And the clients, they get to this point, and they're the ones who try to jump to the shiny object and they don't have the data to support that. >> And then you've got companies going on digital transformation, which is basically saying all their data legacy, trying to modernize it. The modern companies like Uber, and we saw the first fatality of an Uber car this week, again, points out the reality that realtime is realtime, and the importance of having data, whether it's sensing data.
We're not, it's coming there, you can start to see it happening. Realtime data is key. That means data mobility is critical, and you mentioned private, public. Storing the data and moving the data around, having data intelligence, is the most important thing. Realtime data in motion, intelligence, you know, where are we? Is that a setback with the Uber incident? Is it a step forward, is it learning? What's your view of the data quality of movement in realtime? >> I think data ingestion is one of the least talked about topics that is one of the most important. With IBM Cloud Private for data, we can ingest 250 billion events a day. Let me give you some context for that. 2016, the entire credit card industry, everywhere in the world, did 250 billion transactions. So what credit cards do in a year, we can do in a day. Biggest stock trading day ever on the New York Stock Exchange, what got done in that entire day, we can do in the first 40 minutes of trading. But that value there is, how fast can you bring data in to be analyzed, and can you do a decent bit of that pre-processing, or analytics, on the way in? That's how you start to solve some of the problems that you're describing, because it's instant >> John: Yeah. >> And it's unsurpassed amounts of data. >> So ingestion's a key part of the value chain, if you will, on data management. The new kind of data management. Ingesting it, understanding context, then is that where AI kicks in? Where does the AI kick in? Because the ingestion speaks to the information architecture, IA. >> Rob: Yes. >> Now I got to put AI on top of that data, so is the data different? Talk about the dynamic between, okay I'm ingesting data for the sake of ingesting, where does the AI connect? >> So you got the data, yep. So you go the data, AI starts where you're saying, all right, now we want to automate this. We're going to build models, we're going to use the data that we've got in here to train those models. As we get more data, the models are going to get better. Now we're going to connect it to how humans want to interact. Maybe it's natural language processing, maybe it's visualizing data. That's the whole lineage of how somebody gets toward this AI idea. >> What are some of the conversations you're having with customers, and how have they changed? And give some color, I mean, only a few years ago we're talking about data lakes. >> Right. >> Okay, what is the conversation now, and give some context of how far that conversation has gone down the road toward advancement. >> I think we're going from data lakes to an idea of a fluid data layer, which is all your data assets managed as a single system, even if they sit in different architectures. Because there's no one, we all know this. We've been around this industry forever. There's no one way to support or manage data that's going to support every use case. So this idea of a fluid data layer becomes critical for every organization. That's one big change. Other big change is containers. What we're doing with Cloud Private for Data is based on Kubernetes, that's how people want to consume applications, but nobody's really solved that for data. I think we're solving that for data. >> Let's dig into that. It was one of my topics I wanted to drill down on. Containers have been great for moving workloads around, certainly Kubernetes has been a great orchestration tool. Usually people say that searching a job is a full time job. If you conduct an appropriate job search, you will definitely find that it's a fact. Since the status you land wills tell you that how much money you can earn, how you will pass your time and sometimes where you stay, it’s well-worth the endeavor to save the best suitable status. Fortunately, traditional and innovative technological systems both can be used for the searching of job, to produce the result you want;
Create A High-Impressionism Resume: The initial step to get into a job is to create a high impressionism resume. Professionals with an uninterrupted experience may use the traditional chronological resume, which list positions in reverse chronological order. For fresh graduates and those who are seeking for a career change, a functional resume can prove to be best for them. This format contains ability section, prominenten abilities; Computer communication ability. The functional resumes do not go in detail about where the abilities were gain-in class, between an internship, as a volunteer or on the job. Also, you can check your paper for plagiurism. Co-Ordination between the People: Take the word out that you are seeking for a position, as complicated as this might be. Friends, relatives and colleagues and members from the previous jobs might be able to get pass your resume through Human Resources department, directly to the appointing manager. Your network among people can help you you out much because they may also aware about the positions that are about to open. Some other way to network among the different people is to participate in the formal networking groups and volunteer in your fields or surroundings Online Co-Ordination: Post your profile, in which your resume information is mentioned, on such online networking sites as LinkedIn. This website helps you out in making connections with various people in your field, may be they will be helpful in your search, and aware you about the jobs from company’s websites. One more website, CareerBuilder, get you aware about jobs that are updated on daily or routine basis; and Craigslist has a very big list of job managed by location and industry. You can also represent your qualifications by twitter, facebook and youtube to the prospective Employers. Attend A Different Job’s Seminars: Search a different job’s seminar all over your city and try to attend all them, somewhere you may get chance and try to find a suitable position. Even if you fail to do so, you will definitely have made some very valuable contacts with the persons and and try to get some good awareness about the companies that are appointing and the status that is available by attending the job’s seminar. Before attending the seminar, find out which companies are going to be represented in the seminar, and try to get some little research on those companies through its websites. Create a short sales pitch with you as the commodity, and be prepare to persuade the appointing managers that why should they appoint you. Dress professionally and collect business cards from all; and follow up with thank you note to remind the prospective employer about your qualifications. Meeting With Human Resources Officers: If you are invited so meet with a Human Resources officers, even if u feel under or over-qualified for the position. Meeting with him/her in a company where you are searching for a position, can prove to be an important contact down the road. An office member can give you a “Heads up”, if some other position at a higher level comes along. Sometimes, he/she may be able to give you some good advice about boosting the existing position to get your desire. Introduction For me, the most key element of learning a language is awareness. I usually spend no more than three or four hours with a client in any given week, normally spread over two sessions or ‘classes’. For me, therefore, four hours is little more than 3.5% of the time during a week when a client is not asleep. If the client or ’student’ thinks that they only need to concentrate on what they are learning during the sessions, then what teacher can hope to succeed in improving their client’s ability to speak a foreign language? In my view, there is no teacher who can succeed this way. No teacher can succeed if the client is not engaged in the learning process. Teaching is not about feeding a client knowledge, it is about them using their skill, knowledge and personality to help the student overcome the barriers and complexities that lie in the way of the absorbing the knowledge. Awareness leads to becoming engaged, which should lead to a state in which the learning process becomes a self-perpetuating cycle where a new piece of knowledge leads the client to actively seek out at least two more other, linked, pieces of knowledge. Awareness transforms the learner into a sponge. How spongeyness works Simply put the idea is that if someone continually puts themselves into situations in which they are listening to, reading and watching English in action, then both their conscious and their subconscious will take in some of that information, sort it out and store it. The brain does an amazing job with all our daily thoughts and experiences of filing them and putting them in the right place. I’m convinced that it’s the same with language, after all, there’s a whole area of the brain given over to language. Use professional online essay checker services when writing some article to avoid mistakes. The road to spongeyness The first classes that I have with a new client are sometimes frustrating for the learner themselves. I have had complaints in the past from frustrated people who have looked at me suspiciously when they realise that I’m not teaching them any language, but am instead getting to know them, finding out who they are and what they want from our time together and lastly giving them some tips on how to improve their awareness. It is this last thing that I want to take a look at. Assimilation is influence of one sound upon each other in the neighboring position. It spreads
throughout the entire language and can be found almost in every word in different degrees of the assimilation. When the words are pronounced in connection, assimilation is always employed. Unassimilated sounds cause an over-fine pronunciation, and you start to sound freaky in your speech. Language learners can unconsciously stick to some of assimilation patterns; . for example, the words widthand tenth are usually pronounced with the dental [d] and [n], which are affected by the sound [th], most likely owing to the fact that it is impossible to pronounce tenth with a normal alveolar [n]. Sometimes, the assimilation is complete since the interacting sounds coincide like in is she [iS- Si:] instead of [iz-Si:]. Usually, affected sounds only change their qualities partially (partial assimilation) or become different sounds but not coinciding with the assimilating sound (intermediate assimilation). Some sonorant, especially [r], may be devoiced under the influence of the preceding voiceless consonant: try, pray, twenty, and sweet contain devoiced [r] and [w] (in this case [r] is more affected). The cluster tr- is always assimilated within a word but not at the word junction compare can troll (tr- is assimilated)—can't roll (no assimilation). The sound [n] can be assimilated before [k] or [g], and it becomes [N]. conquer and congress are naturally pronounced with a [N] sound. Also, [n] of unstressed can in I can go ['&ikN 'gou]. The sound [t] in the final position before a consonant is unreleased, accompanied by a glottal stop, so this sound becomes open to be assimilated by almost every consonant. Actually, the unreleased [t] disappears, and only the assimilating consonant with the preceding glottal stop takes the features of the affecting phoneme: let me is pronounced ['le?mi:] with the glottal stop labialized ready for uttering [m]. In quick speech, it may be even without a glottal stop ['lemi:]. Hence, lemme is its informal spelling. In the word football ['fu?ba:l], the glottal stop takes the feature of [b]; therefore, it sounds like an unreleased [p] ['fupba:l]. Similarly, it is observed in such clusters as in get me, met Bob, right now, let go, etc. The sound [d] can also behave in this way. It is more casual but very common. The word combinations of goodbye and could get me are most often pronounced [,gu?'bai] and [k&?'ge?mi:]. Sometimes the sounds of [th] and [TH] are affected by [s] and [z] is that in quick speech sounds like ['izzAt]. In the word clothes, the assimilation has become complete: the sound [TH] has turned into [z], and it now is pronounced as a homophone of close, i.e. ['klouz] (to say ['klouTHz] is unnatural). |
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