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the funniest line in kingdom hearts is "Have you heard about the ancient Keyblade War?" like no shit he's heard of it. i'm pretty sure EVERYONE in scala ad caelum knows about it. it's literally part of the history of the city's founding. there's a giant art installation about it downtown. his grandfather saw it happen. they're playing the keyblade war through metaphor as they speak. the gazing eye is hung in the classroom. "KEYBLADE WARS" is WRITTEN ON THE BLACKBOARD, IMPLYING THEY WERE TALKING ABOUT IT IN CLASS BEFOREHAND.
#star says#kingdom hearts#xehanort#eraqus#i also Don't Believe eraqus when he says he doesn't know who the foretellers are. i'm sorry
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Going over the KHDR Completion Commemorative Q&A
As requested by @starlightwayfinder a while back.
Taken from goldpanner's translation hosted on KHInsider.
Under the read more. I discuss some KHML trailer details in one of the sections.
Nomura saying that the installment was physically going over capacity makes me think that he's talking about the size of the app. As in, they fit as much data as they could onto the app's storage space before reaching a hard limit that couldn't be overcome, leading to them having to "cut the fat" as it were. Which I think would make sense given that (1. KHDR shares space with the KHUX side of the app; they're not two separate apps with two separate storage spaces and (2. both games are completely offline now and thus all the relevant data has to fit on the device itself and none of it can be "streamed" from a server (I assume.)
(Speaking from a very general understanding of how live-service mobile games work; take with a grain of salt...)
KHDR having connections to KHML is kind of a given, but Nomura saying in no uncertain terms that plot details from KHDR will be relevant to KH4 is...interesting, and encouraging. I suppose we could have guessed that given the Child of Destiny stuff, but it makes me wonder what other less obvious details from KHDR will turn out to be relevant down the line. We might be surprised by the plot threads and maybe even...characters? that make a return.
I'll be honest, I'm not sure I completely buy his explanation here (even though the "recycling assets to save space/time/money" part makes enough sense from a game dev perspective). Nomura is known for being fickle about the specifics of plot details and changing his mind about things over time; it wouldn't surprise me if he initially conceived Destiny Islands Xehanort to be a young man before deciding Xehanort needed to leave Destiny Islands at a much younger age in order to have the new "spending his teen years in Scala" backstory make sense. But, it's not a big deal; if the "catch-all symbolic representation" thing is the artsy explanation Nomura wants to use to avoid calling it a "retcon", then sure, fuck it, who cares. I don't care.
Seems Nomura was hoping that default male Player would be recognized as merely a default representation of Player (so, not canon, just one of many possible representations) but then realized people were going to take it as canon anyway. Which, yeah of course they would. You're implicitly favoring and legitimizing whatever version you choose to depict in the canon, immutable cutscenes, because the fact you chose it out of all possibilities suggests you prefer it. I'm glad the devs changed the cutscenes to make Player's gender ambigious, though they didn't go far enough to obscure Player's skintone, leading to people having to headcanon that Player is just wearing...light flesh-colored gloves? Frankly: yuck, but here we are. Maybe KHML will retcon this too and do a better job of hiding their skintone.
Also, I'm not sure what Nomura means when he says that Player showed up in Xehanort's "final battle" when they...didn't? Unless by "final battle" he just means the final episode in general? Idk, weird wording there, might be a translation thing.
I get why people felt that the bald explanation was kinda unnecessary and out of left field, but as user isan0rt points out in this post, the distinction between "his hair fell out" and "he shaved it" is actually pretty important from a character analysis perspective. I don't blame Nomura for wanting to further clarify and highlight the Buddhist monk themes at the core of Xehanort's character when, I guess, it was flying over a lot of people's heads (pun not intended).
It's unfortunately just one of those things where Nomura drawing attention to this "lore reveal" in pre-release interviews primed people to take it less seriously than if he had just...put it in the game with no fanfare.
Not sure why Nomura ended the answer talking about the Queen of Hearts and her not remembering Xehanort. I guess because the Mirror managed to remember him after like 60 years and him losing all of his hair but the Queen forgot about him after only, like, four years?
KHML trailer spoilers below.
The KHML trailers say that the Emblem Heartless reach Gothic Scala via the Astral Plane, and well, if KHDR's Emblem Heartless and KHML's Emblem Heartless share the same explanation for their anachronistic presence as Nomura implies here, then I guess the Astral Plane is where the KHDR Heartless are coming from? That's my theory for now anyway. The question just becomes, why were they arriving from the Astral Plane during the events of KHDR? Did somebody...let them in?
But then, "vessel" characters like the Queen of Hearts and Baldr also summon + control Emblem Heartless of their own that seem to originate from within them, so like. The Emblem Heartless situation seems a bit more complicated than just "they're coming from the Astral Plane."
And yes, the question was labeled "O4" rather than "Q4". There was a lot of speculation at the time about what this meant and whether or not Nomura was trying to send a secret message, but to this day we still don't know what this was about, apparently.
"Someone who bears the heart of the Player" is very interesting and specific wording. Is Nomura merely using the word "someone" to indicate that this is an entirely new body and life for Player, or is he using the word "someone" to indicate that this was an entirely different, fully-realized person before Player's heart "took over"?
The rest of this answer is worded...kind of unnaturally and strangely and I have no idea what Nomura is saying here, tbh. Again, might be a translation thing. But Player talking about a "second life" still exists in the most current version of the game, so Nomura can't possibly be talking about patching that line out, right? Like, it's still there! It never got "withdrawn". Unless he changed his mind after this interview?
Though, looking at the "that heart will once again melt into the heart of another person" bit, I think I now see where all those "Sora is reincarnated Player" theories come from?
Not much to say about this one. I still feel like the transition from KHML Scala to KHDR Scala had some magic involved, though. Between the Land of Departure's transformation feature that specifically activates with Master's Defender (turning LoD into a white roomed castle not unlike the white buildings of KHDR Scala), and the two Scalas looking so drastically different, it just makes sense to me.
Nomura isn't wrong here. I do think it's not too difficult to imagine what happened post-KHDR. Though it's still a shame that we didn't get to see those chapters of Xehanort's life.
(I know some people would probably argue that the game shouldn't have been called "Dark Road" in the first place then, if the game was just going to be about the events that led Xehanort to that road, but eh, I feel like that's semantics.)
If there's one thing I can respect and appreciate about the KH series as a whole, it's the commitment to focusing on character relationships. I think it was a good call by Nomura to prioritize depicting Xehanort and Eraqus' friendship in their youth.
Honestly? I actually really appreciate that Nomura seems to give a shit about the KHDR cast and feels genuinely disappointed and apologetic that he couldn't show them off more. Like he could've so easily just been all "Xehanort Xehanort Xehanort" about the game since Xehanort is his favorite OC, his favorite blorbo, but no he actually wanted to give the other characters their time in the spotlight, too. I really want that novel to happen eventually and I'm crossing my fingers for it. Please Square.
For context, apparently in the JP version of KHDR, Odin more directly references his teacher at the end of the game. While in the ENG version...you'd basically just have to guess at the existence of such a person from Odin's line "I finally see the truth of those words." or something? I have no idea why this wasn't made more obvious in ENG if it's more obvious in JP, but the series has been known for sometimes baffling localization choices, so like, eh.
It's interesting to think that Odin might have known Player2 in the past, and that they might have been working together on the Child of Destiny stuff. I fully expect to see a younger Odin in KHML, tbh.
By the way, I think Nomura calling KHML "a later period" is just some poor wording or translation hiccup and he meant to say "earlier"; I don't think he's saying some PLOT TWIST! thing about KHML somehow actually taking place after KHDR. (We'll see if my statement here ages poorly like 5 years from now lol.)
The Q&A response that made the entire "Skuld is Subject X" theory community freak out.
Yeah who the heck knows. "Connected" can mean so many things in this series, and following up that sentence with "Missing-Link is also a story about bloodlines" could be an intentionally misleading non-sequitur on Nomura's part.
Yes I'm speaking from bias because I want Skuld to be Subject X, what of it.
Another question labeled with "O" instead of "Q" as well. Both questions like that so far have been Missing-Link related.
Not much to say on this one. I personally think that Brain is indeed Eraqus' grandfather and I don't imagine Brain and Ephemer's bloodlines overlapping, but we'll see what KHML reveals about Brain's future family.
Oh and I think the secret report this question is referencing (Secret Report 2 from KH3) said "descended from the very first masters in the age of fairy tales" not "master", so it's not specifically talking about like. An individual person who could be considered the one and only "first", like the MoM or Founder Ephemer or something. It's Keyblade Masters from the age of fairy tales in general, at least, the earliest ones to exist. Which can potentially include Brain, I think?
Question 12 was just about when we'd get Missing-Link news, so skipping that one straight into Question 13.
What's interesting about this question and answer is that right below it is the Nomura artwork of Young Xehanort wearing modern clothes in Miyashita Park. Could that artwork then be hinting at what this "good opportunity" might look like?
Below is how the original Q&A and artwork looked together. You can see that Q13 was the final one, almost as if this question was asked last on purpose in order for the artwork to follow right after it as a sort of "unofficial" answer.
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everyone seems to have turned into hippies in the Siegfried installment of the 2020s La Scala Ring and I'm not even mad




birdie girl and Erda win this round for me and I like this Siegfried fit on KFV more than the ones I saw before (Zürich this is your fault. the cutoff shorts)
Alberich having beef with everybody in that multicoloured coat though. it feels very 1960s to me and for what
#siegfried#teatro alla scala#opera tag#operablr#opera#klaus florian vogt#michael volle#ólafur sigurðarson#wolfgang ablinger sperrhacke#christa mayer#francesca aspromonte
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HC: Language
Vanitas actually can't read any of the modern alphabets in current usage. Xehanort never thought to teach him because he wasn't raising Vanitas for intellectual pursuits. Vanitas was a weapon to be honed and crafted.
However, he has some residual knowledge from his time as a true darkness that has stuck with him.
Vanitas is able to perfectly read and write in the ancient Keyblader language that they used back in the Age of Fairytales and in Scala ad Caelum. I'm talking specifically about the language in the posters you can see around Scala ad Caelum in KH3. For the purposes of threads, I will refer to this language as Scalan or Old Scalan (in regards to the Book of Prophecies specifically. It is visibly different). These are likely NOT what the languages were called by the people speaking and writing in them, but their true names have been lost to time.
Considering the fact that Mickey and Yen Sid both have books written in Scalan, I presume that it wouldn’t be unusual for Keybladers to know this language—especially ones that have been brought up by Masters. I imagine that it would be the equivalent of pre-1800s Europeans having to learn Latin because academic manuscripts were exclusively written in it.
UPDATE:
As several different muses have expressed interest in teaching Vanitas to read modern alphabets, I will now place Vanitas' skill at a beginner's level. He's not going to be reading War & Peace any time soon, but he's learning.
Furthermore, since Vanitas now has a gummiphone, he will be able to text other people. He will still primarily use his first language, but will sometimes text people in the modern writing system to practice. One of the first things he learned how to do was install language keyboards onto his new gummiphone.
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Installation view of the exhibition Anni Albers Textiles (September 14, 1949 through November 6, 1949) at The Museum of Modern Art, New York.
Photo by Soichi Sunami from The Museum of Modern Art Archives, New York. Digital Image © The Museum of Modern Art/Licensed by SCALA / Art Resource, NY
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Can I be honest?
I really do not care about Missing Link.
I'll admit that the most recent trailer probably made me more interested in it than I ever have been before, but even then I'm just kind of like... ehh.
And this is for a few reasons, I think.
A large one being that it's a mobile game. And I shouldn't have to explain why that's a huge reason as to why that's helping to kill my interest in this game, even though it looks like this game should be a lot better than KHUX and Dark Road, thankfully (but I'm also somewhat reserving judgement on all of that until we get it).
The fact that it's a game like Pokémon Go was also sort of ruining things for me, since I really can't walk well anymore. But according to the trailer and Nomura, it seems like that you don't really have to travel in order to do things in the game. So we'll see how that pans out.
But I guess I'm just getting to the place where some casuals were before, were--in some ways--if it's not about our main cast, I almost feel like I can't be bothered (and I do feel bad about that, in some ways).
I'm somewhat tired, I suppose, of having to play a million different games, in order to understand the next mainline installment. And I know this is just one between III and IV (if you don't count the Re:Mind DLC and Melody of Memory), but it does sort of feel a bit like "same old, same old" to me.
I also just... I don't know. Really feel like we didn't need this part of the timeline filled in? And I would almost prefer if that wasn't happening, so it could be a mystery and we could imagine it for ourselves? I feel like the only reason it's being filled out now is because of the Scala ad Caelum stuff in KHIII. And probably because this next saga is partly going to be saving the people from the KHX saga. But if we didn't get Missing Link, that plot point could have been delivered in another game.
Now we're just going to get more characters introduced, and clutter up the roster even more, and gah!
I know this game is surely to partly tide us over until KHIV, which is definitely nice. But IDK. I, personally, would have rather had one of the plot lines they teased at the end of Re:Mind as a game (Kairi's training with Aqua, Mickey in Scala, the Wayfinder trio in the Realm of Darkness, or Naminé looking for clues about Sora's whereabouts in Roxas and Xion's memories). Or waited a bit more and just gotten KHIV and then the Verum Rex game (both as console games, of course), because you know they have to be making both of these games right now.
I really don't mean to complain. Because I know a lot of time and work has surely gone into this. And it's something. And I'd rather take something over nothing (for the most part. Don't start giving me KH NFTs, Square). But unless something changes, there's nothing about Missing Link so far that's really grabbed me, personally.
And maybe it will. I'm sure it will, eventually. It won't take much to do it. But the fact it's a mobile game will always hurt it. It's weird to say, but I kind of miss the days of the handheld KH games. At least they were better quality. Oy.
Edit: And back to my one point, I feel Missing Link is going to add even more to the KHIV stuff now, when there's already so much it needs to conquer that I have no idea how it's going to do it all. Like, I was thinking that maybe some of the point of Missing Link was to flesh out this new saga... but there's already so much going on here.
Edit 2: However, Missing Link, and all the stuff with the story of Scala ad Caelum, seems to be a story Nomura-san wants to tell. And that is most definitely his right.
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Why Should You Visit and Live in Milan?

Milan is one of Italy's most vibrant metropolises. This city is the best of both worlds, combining historical beauty and grandeur with world-class innovation. For instance, the city's ancient Gothic cathedral exists side by side with towering skyscrapers. The city is a hub for architectural enthusiasts as well as those interested in art, history, or the environment.
The city is home to numerous ancient and antique architectural masterpieces. The Milan Cathedral (Duomo di Milano) is one of the most imposing structures in the Milan Skyline. The cathedral borrows from Gothic architecture. Visitors are welcome to climb the rooftop terraces for a panoramic view of the city.
Bosco Verticale, also known as the Vertical Forest, represents urban living in Milan. This building comprises two residential towers adorned with over 20,000 plants. This vertical forest helps protect biodiversity and improve air quality.
The CityLife district was formerly a trade fair site. Today, the district is home to skyscrapers designed by Zaha Hadid and Daniel Libeskind. The district also has a very large green area. This expanse of green space is considered part of one of the largest car-free zones in Europe.
To address air pollution in the city, Milan established the ForestaMI initiative to plant three million trees by 2030. This deliberate attempt at reforestation will ensure the city has a green cover while combating the effects of climate change.
Milan is also known for its green roofs and walls. The CLEVER Cities program encouraged more people in Milan to install green walls and roofs across buildings. The program is a European Union-funded initiative that promotes sustainable urban regeneration. This solution is nature-based, helping to regulate temperature and manage stormwater.
Milan holds a prominent place on the global stage as a fashion hub. Twice a year, the city becomes the epicenter of international fashion with Milan Fashion Week, attracting designers, celebrities, and media from around the world. It's also the headquarters for iconic fashion houses like Prada, Versace, Armani, and Dolce & Gabbana. But Milan's influence doesn't stop at clothing; it's equally renowned for industrial and interior design. The Salone del Mobile, an annual design and furniture fair, transforms the city into a vibrant showcase of innovation and creativity, drawing professionals and enthusiasts from every corner of the globe.
Beyond its creative industries, Milan is a powerful force in Italy's political and intellectual life. It serves as a hub for national discourse, with major newspapers such as Corriere della Sera and numerous television studios based in the city. Think tanks, publishing houses, and cultural institutions thrive here, fostering a climate of critical thinking and informed debate. This strong media and academic presence helps shape public opinion and policy, making Milan not only a stylish city but also a thoughtful and influential one.
Finally, the city is home to renowned institutions like La Scala, one of the world's most celebrated opera houses, and the Pinacoteca di Brera, which showcases an exceptional collection of Italian Renaissance masterpieces. Throughout the year, Milan's cultural scene comes alive with a range of events, including operas, concerts, exhibitions, and film festivals, that attract both locals and visitors. Education and the arts hold a special place in Milanese society, supported by the city's leading universities.
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Scala stabilizes named tuples
Scala 3.7.0, the latest version of the object-oriented, functional language with JVM, native, and JavaScript runtimes, stabilizes named tuples and brings a “crucial” fix that enhances its compatibility with Android. Scala 3.7.0 was announced May 7. Installation instructions can be found at scala-lang.org. In Scala 3.7.0, named tuples, introduced as experimental in Scala 3.5 in August 2024, become…
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How AI is Transforming Influencer Marketing: From Discovery to Performance Tracking

In the fast-evolving world of digital marketing, influencer marketing has firmly established itself as a powerful tool for brands seeking authentic engagement and targeted reach. But as the space becomes more saturated, the integration of Artificial Intelligence (AI) has emerged as a game-changer. From influencer discovery to campaign optimization and real-time analytics, AI is transforming how brands and agencies approach influencer marketing in 2025 and beyond.
In this article, we explore how AI is revolutionizing influencer marketing at every stage, and why partnering with a trusted influencer marketing agency in Kerala can give your brand the competitive edge it needs.
AI in Influencer Discovery: Finding the Perfect Match
One of the biggest challenges in influencer marketing has always been identifying the right influencers. With millions of creators across platforms, manually filtering profiles is not only time-consuming but often inefficient. AI-powered platforms now use machine learning algorithms to analyze audience demographics, engagement rates, content relevance, and even sentiment to match brands with ideal influencers.
These tools can:
Analyze audience authenticity and detect fake followers
Identify influencers whose content aligns with brand values
Segment influencers based on industry, geography, or niche
Predict collaboration outcomes using historical performance data
This automated discovery not only saves time but increases the likelihood of success by focusing on data-backed compatibility.
Personalized Campaign Planning and Content Optimization
AI tools can help influencer marketing agencies create more personalized and effective campaign strategies. By analyzing large volumes of consumer data, AI provides deep insights into audience behavior, preferences, and content performance. This allows brands to:
Customize messages for different segments
Recommend optimal posting times and content formats
Forecast audience reaction to certain visuals or messaging styles
Moreover, Natural Language Processing (NLP) algorithms can assess the tone and sentiment of past influencer content, ensuring it aligns with your brand voice before a campaign even begins.
Partnering with an influencer marketing agency in Kochi that uses AI in planning can help ensure your campaigns are hyper-targeted and emotionally resonant.
Performance Tracking and Real-Time Insights
Gone are the days of relying solely on vanity metrics like likes and followers. AI now enables real-time performance tracking with a focus on metrics that matter:
Engagement rate (likes, shares, saves, comments)
Conversion data (click-throughs, purchases, app installs)
ROI tracking across multiple platforms
Sentiment analysis of audience responses
AI-driven dashboards can visualize this data in real-time, making it easier for marketers to optimize live campaigns. Adjustments in content, timing, or targeting can be made instantly to improve outcomes.
Predictive Analytics for Better ROI
One of AI’s most exciting contributions is predictive analytics. Based on historical data, AI can forecast the success of future campaigns and influencer partnerships. This helps brands:
Allocate budget more efficiently
Reduce campaign risks
Anticipate audience reaction
Select high-performing influencers with confidence
These predictive tools help influencer marketing companies in Kerala provide more accurate performance estimates, which is crucial in an industry where ROI used to be difficult to measure.
Virtual Influencers and AI-Generated Content
A futuristic (yet very real) development in influencer marketing is the rise of virtual influencers—AI-generated personalities that build massive followings and collaborate with top brands. These computer-generated avatars, managed by teams of creatives and tech experts, offer:
Full brand control over image and messaging
No risk of scandal or inconsistency
Scalable content creation
Similarly, AI tools like generative text and image platforms (e.g., ChatGPT, DALL·E) are being used to assist influencers in creating high-quality content, faster and more efficiently.
Challenges and Ethical Considerations
While AI brings massive benefits, it’s essential to navigate some ethical considerations:
Privacy: AI tools often rely on vast user data. Ensuring GDPR and other privacy law compliance is critical.
Bias: Algorithms can unintentionally reinforce biases unless carefully trained and monitored.
Authenticity: Over-automation can result in campaigns that feel impersonal or inauthentic, which is the opposite of what influencer marketing aims to achieve.
That's why it's vital to work with an experienced influencer marketing agency Kerala that balances technology with human creativity and ethical marketing standards.
Why Choose an AI-Powered Influencer Marketing Agency?
Integrating AI into your influencer strategy isn't just about staying trendy—it’s about staying competitive. An influencer marketing company in Kerala that leverages AI can help you:
Identify the right voices for your brand
Deliver personalized and performance-driven campaigns
Monitor impact in real-time
Improve efficiency and reduce costs
With tools becoming smarter and consumer expectations evolving rapidly, brands need the right tech-powered partner to keep up.
Final Thoughts
AI has transformed the influencer marketing landscape from guesswork to precision, enabling brands to create more meaningful, impactful campaigns. From smart discovery and personalized planning to real-time tracking and future-proof predictions, AI empowers marketers to work smarter, not harder.
As we look ahead, AI will continue to shape the future of influencer marketing. The key to success lies in blending technology with creativity, strategy, and authenticity. For businesses looking to harness this power, teaming up with a knowledgeable agency equipped with AI capabilities—like Svahub Media—is the smartest step forward.
#influencer marketing agency in kerala#influencer marketing agency in kochi#influencer marketing agency kerala#influencer marketing company in kerala
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Slotenmaker Antwerpen: De Sleutel en Sloten Specialist, Jouw Betrouwbare Beveiligingspartner
Welkom bij De Sleutel en Sloten Specialist, de betrouwbare slotenmaker in Antwerpen die je altijd kunt vertrouwen voor al je beveiligingsbehoeften. Of je nu in een noodgeval zit of gewoon je woning beter wilt beveiligen, wij bieden een breed scala aan diensten om je gemoedsrust te waarborgen. In deze blog lees je meer over onze diensten en waarom wij de juiste keuze zijn als slotenmaker in Antwerpen.
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Tips om Je Woning in Antwerpen te Beveiligen
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How ONVIF Cameras Are Shaping the Future of Smart Building Surveillance

As technology continues to evolve, smart buildings are becoming more advanced, with enhanced security systems being a top priority. One of the key innovations driving this transformation is the implementation of ONVIF cameras. These cameras not only provide high-definition video surveillance but also ensure interoperability across various security systems, making them a cornerstone for the future of smart building surveillance. This blog will explore how ONVIF cameras are revolutionizing the way we approach security in modern infrastructure and the long-term impact they are set to have on building management.
What Are ONVIF Cameras?
ONVIF (Open Network Video Interface Forum) is a global standardization initiative that allows IP-based security products to communicate seamlessly with each other, regardless of manufacturer. The ONVIF protocol ensures that cameras, recorders, and other surveillance equipment from different brands can work together efficiently within a unified system. ONVIF cameras are designed to meet this standard, offering a reliable and flexible solution for building surveillance.
These cameras come equipped with advanced features, such as high-definition video, motion detection, remote access, and cloud-based storage integration. As a result, ONVIF cameras are becoming an essential component in the security infrastructure of smart buildings.
The Importance of Interoperability in Smart Building Surveillance
One of the most significant advantages of ONVIF cameras is their interoperability. Unlike traditional security systems, which often require all components to come from the same manufacturer, ONVIF cameras allow building owners and security professionals to mix and match products from various brands. This opens up a wide range of options for surveillance system configurations, providing greater flexibility in system design and management.
In a smart building, multiple systems—such as lighting, HVAC, fire safety, and security—are integrated to work seamlessly together. ONVIF cameras play a pivotal role in this ecosystem by ensuring that video surveillance is not isolated but rather part of the broader building management network. For example, an ONVIF camera can work in conjunction with a building's alarm system, triggering notifications to security personnel when unusual activity is detected. This integrated approach enhances the overall efficiency and effectiveness of the building’s security measures.
Enhancing Security with High-Quality Video Surveillance
The demand for high-quality video surveillance is increasing, especially in smart buildings that rely on video footage for security, access control, and monitoring. ONVIF cameras excel in providing high-definition video quality, which is critical for identifying faces, license plates, and other key details. This level of detail is necessary for building management teams to respond quickly to potential security threats.
With features like remote access, ONVIF cameras enable building managers and security teams to monitor live footage from anywhere in the world via smartphones, tablets, or computers. This real-time access allows for faster decision-making, ensuring that any suspicious activity is addressed immediately. Moreover, many ONVIF cameras come with advanced analytics, such as facial recognition and motion detection, which add an extra layer of intelligence to the security system.
Cost-Efficiency and Scalability
Another key benefit of ONVIF cameras is their cost-efficiency and scalability. Traditional security systems often come with high installation and maintenance costs, particularly when expanding or upgrading the system. ONVIF cameras, by contrast, offer a more affordable and flexible solution. Since the cameras adhere to a standardized protocol, building managers can integrate them into existing security infrastructures without the need for extensive reconfigurations.
Scalability is also a significant advantage of ONVIF cameras. As the needs of a smart building evolve, additional cameras and devices can be easily integrated into the system. Whether a building is undergoing renovations or expanding to accommodate more tenants, ONVIF cameras provide the flexibility to scale the security system without the need for a complete overhaul. This makes them an ideal solution for buildings of all sizes, from small office complexes to large commercial properties.
The Role of Cloud-Based Storage in Smart Building Surveillance
Cloud-based storage is becoming increasingly important in smart building surveillance. With ONVIF cameras, video footage can be securely stored in the cloud, providing numerous benefits over traditional on-site storage solutions. Cloud storage offers scalable storage capacity, remote access, and reduced hardware costs, making it an attractive option for building managers.
Moreover, cloud-based storage allows for the easy retrieval and sharing of footage, which is especially important in case of incidents that require investigation or legal proceedings. With ONVIF cameras integrated into the cloud, security teams can store vast amounts of video data without the need for expensive on-premises servers or data centers. This not only reduces costs but also enhances the overall flexibility and accessibility of the surveillance system.
Future Trends in ONVIF Camera Technology
The future of ONVIF cameras in smart building surveillance is promising. As technology advances, ONVIF cameras are expected to become even more sophisticated, offering features like 4K video resolution, enhanced low-light performance, and improved artificial intelligence (AI) capabilities. AI-powered cameras will be able to detect and analyze patterns in real-time, such as identifying unusual behavior or predicting security threats before they occur.
Additionally, the integration of ONVIF cameras with other smart building systems, such as lighting and HVAC, will create even more advanced and efficient surveillance solutions. For example, cameras may be able to adjust the lighting in a building based on motion detection, improving both security and energy efficiency.
As the demand for smart buildings continues to grow, ONVIF cameras will play a crucial role in shaping the future of building security. With their ability to deliver high-quality video, seamless integration with other systems, and scalability, ONVIF cameras are poised to be a key technology in the development of intelligent, secure, and efficient buildings.
Take Your Building Security to the Next Level
Investing in ONVIF cameras is an investment in the future of your smart building's security infrastructure. With the benefits of interoperability, high-quality video surveillance, scalability, and cloud-based storage, ONVIF cameras are a smart choice for any building manager looking to enhance security.
Ready to future-proof your building? Get in touch with our team of experts to explore how ONVIF cameras can transform your security system today.
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Roof rack Skoda Scala Crossbars Installation
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🚨Project Highlight: Rabia Al Omer Residential Compound – Boosting Efficiency with Advanced Pump Solutions🚨
We are proud to present the successful completion of our latest project at the Rabia Al Omer Residential Compound, where we supplied and installed #Grundfos CM 10-3 and Grundfos #Scala 1 pumps, ensuring reliable water flow and operational efficiency. Our team at Advanced Pumps worked diligently on the installation and commissioning, providing state-of-the-art solutions tailored to meet the project's unique requirements.
With Shumou Investment Co. as the project owner and Rabia Al Omer Co. as the main contractor, our collaboration exemplifies precision, quality, and reliability.
At #AdvancedPumps, we are committed to delivering cutting-edge water solutions, from residential compounds to large-scale industrial applications. Check out the multiple boosters showcasing our work and the steps we took to deliver this project successfully. Stay tuned for more updates as we continue to set new standards in pump technology and water management.
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☎️ +966 0544967588
📞 920 012 460
#WaterSolutions #PumpTechnology #ksa #SustainableWater #HydraulicSystems #FluidEngineering #PumpingEfficiency
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Spark Made Simple: A Practical Tutorial for Big Data Enthusiasts
Apache Spark is a powerful tool for processing large amounts of data quickly and efficiently. If you’re new to the world of big data, this Spark Tutorial will help you understand the basics and get started with using Spark in your projects.
What is Apache Spark?
Apache Spark is an open-source data processing engine designed to handle large-scale data processing tasks. It’s known for its speed and ease of use compared to other data processing frameworks like Hadoop. Spark supports multiple programming languages, including Python, Java, and Scala, making it versatile for developers.
Why Use Spark?
Spark is incredibly fast because it processes data in-memory, reducing the time it takes to complete tasks. It’s also easy to integrate with other big data tools, such as Hadoop and Apache Kafka, making it a popular choice for data engineers and data scientists.
Getting Started with Spark
To start using Spark, you’ll need to install it on your system or use a cloud-based platform like Databricks. Once installed, you can begin writing simple programs to process data. Spark SQL is one of its most powerful features, allowing you to run SQL queries on large datasets effortlessly.
For a more detailed Spark Tutorial, including step-by-step instructions, visit Tutorial and Example's Spark Tutorial.
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[Fabric] Leer PowerBi data con Notebooks - Semantic Link
El nombre del artículo puede sonar extraño puesto que va en contra del flujo de datos que muchos arquitectos pueden pensar para el desarrollo de soluciones. Sin embargo, las puertas a nuevos modos de conectividad entre herramientas y conjuntos de datos pueden ayudarnos a encontrar nuevos modos que fortalezcan los análisis de datos.
En este post vamos a mostrar dos sencillos modos que tenemos para leer datos de un Power Bi Semantic Model desde un Fabric Notebook con Python y SQL.
¿Qué son los Semantic Links? (vínculo semántico)
Como nos gusta hacer aquí en LaDataWeb, comencemos con un poco de teoría de la fuente directa.
Definición Microsoft: Vínculo semántico es una característica que permite establecer una conexión entre modelos semánticos y Ciencia de datos de Synapse en Microsoft Fabric. El uso del vínculo semántico solo se admite en Microsoft Fabric.
Dicho en criollo, nos facilita la conectividad de datos para simplificar el acceso a información. Si bién Microsoft lo enfoca como una herramienta para Científicos de datos, no veo porque no puede ser usada por cualquier perfil que tenga en mente la resolución de un problema leyendo datos limpios de un modelo semántico.
El límite será nuestra creatividad para resolver problemas que se nos presenten para responder o construir entorno a la lectura de estos modelos con notebooks que podrían luego volver a almacenarse en Onelake con un nuevo procesamiento enfocado en la solución.
Semantic Links ofrecen conectividad de datos con el ecosistema de Pandas de Python a través de la biblioteca de Python SemPy. SemPy proporciona funcionalidades que incluyen la recuperación de datos de tablas , cálculo de medidas y ejecución de consultas DAX y metadatos.
Para usar la librería primero necesitamos instalarla:
%pip install semantic-link
Lo primero que podríamos hacer es ver los modelos disponibles:
import sempy.fabric as fabric df_datasets = fabric.list_datasets()
Entrando en más detalle, también podemos listar las tablas de un modelo:
df_tables = fabric.list_tables("Nombre Modelo Semantico", include_columns=True)
Cuando ya estemos seguros de lo que necesitamos, podemos leer una tabla puntual:
df_table = fabric.read_table("Nombre Modelo Semantico", "Nombre Tabla")
Esto genera un FabricDataFrame con el cual podemos trabajar libremente.
Nota: FabricDataFrame es la estructura de datos principal de vínculo semántico. Realiza subclases de DataFrame de Pandas y agrega metadatos, como información semántica y linaje
Existen varias funciones que podemos investigar usando la librería. Una de las favoritas es la que nos permite entender las relaciones entre tablas. Podemos obtenerlas y luego usar otro apartado de la librería para plotearlo:
from sempy.relationships import plot_relationship_metadata relationships = fabric.list_relationships("Nombre Modelo Semantico") plot_relationship_metadata(relationships)
Un ejemplo de la respuesta:
Conector Nativo Semantic Link Spark
Adicional a la librería de Python para trabajar con Pandas, la característica nos trae un conector nativo para usar con Spark. El mismo permite a los usuarios de Spark acceder a las tablas y medidas de Power BI. El conector es independiente del lenguaje y admite PySpark, Spark SQL, R y Scala. Veamos lo simple que es usarlo:
spark.conf.set("spark.sql.catalog.pbi", "com.microsoft.azure.synapse.ml.powerbi.PowerBICatalog")
Basta con especificar esa línea para pronto nutrirnos de clásico SQL. Listamos tablas de un modelo:
%%sql SHOW TABLES FROM pbi.`Nombre Modelo Semantico`
Consulta a una tabla puntual:
%%sql SELECT * FROM pbi.`Nombre Modelo Semantico`.NombreTabla
Así de simple podemos ejecutar SparkSQL para consultar el modelo. En este caso es importante la participación del caracter " ` " comilla invertida que nos ayuda a leer espacios y otros caracteres.
Exploración con DAX
Como un tercer modo de lectura de datos incorporaron la lectura basada en DAX. Esta puede ayudarnos de distintas maneras, por ejemplo guardando en nuestro FabricDataFrame el resultado de una consulta:
df_dax = fabric.evaluate_dax( "Nombre Modelo Semantico", """ EVALUATE SUMMARIZECOLUMNS( 'State'[Region], 'Calendar'[Year], 'Calendar'[Month], "Total Revenue" , CALCULATE([Total Revenue] ) ) """ )
Otra manera es utilizando DAX puramente para consultar al igual que lo haríamos con SQL. Para ello, Fabric incorporó una nueva y poderosa etiqueta que lo facilita. Delimitación de celdas tipo "%%dax":
%%dax "Nombre Modelo Semantico" -w "Area de Trabajo" EVALUATE SUMMARIZECOLUMNS( 'State'[Region], 'Calendar'[Year], 'Calendar'[Month], "Total Revenue" , CALCULATE([Total Revenue] ) )
Hasta aquí llegamos con esos tres modos de leer datos de un Power Bi Semantic Model utilizando Fabric Notebooks. Espero que esto les revuelva la cabeza para redescubrir soluciones a problemas con un nuevo enfoque.
#fabric#fabric tips#fabric tutorial#fabric training#fabric notebooks#python#pandas#spark#power bi#powerbi#fabric argentina#fabric cordoba#fabric jujuy#ladataweb#microsoft fabric#SQL#dax
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How Snowflake Can Revolutionize Data Engineering
In the ever-evolving landscape of data engineering, Snowflake is revolutionizing the way organizations harness the power of data to drive insights and decision-making with its innovative approach to data management and analytics. In this blog, we will explore how Snowflake is transforming data engineering.
What is a snowflake?
Snowflake, a SaaS platform for data warehousing, seamlessly functions on Azure, AWS, and Google, the three main cloud providers. With Snowflake, it is easy to handle different parts of data gathering, storage, categorization, compression, statistics, file size modifications, and metadata all from a single convenient platform.
Snowflake makes data engineering tasks much simpler by providing its customers with secure access to and governance of data. It doesn't require human configuration and requires minimal maintenance. Snowflake effectively replaces conventional data warehouse architecture. Snowflake makes it quick and easy to store and analyze a variety of data, whether it is structured or not.
Snowflake for data engineering
The data pipeline forms the foundation of any data mining and storage system. When it comes to creating highly functional pipelines, data engineers greatly benefit from Snowflake, which offers flexible and agile pipelines. They have the ability to quickly process and organize any type of raw data from the sources for the intended use.

Constant and batch pipelines.
Snowflake includes both batch and continuous pipelines, consuming either bulk or micro-bulk data and progressively feeding it into the system. Additionally, data engineers process data inside the system and save the results in an organized format.
No more disputes over resources.
Snowflake uses independent clusters to avoid conflicts over shared resources. It enables data integration while maintaining undisturbed, simultaneous access for multiple users. This functionality will eventually enhance the platform's capacity to grow.
Automated components for data processing.
Snowflake is naturally capable of absorbing and controlling the data processing components. It independently manages workload regulations, scaling, errors, and duplications. Because they mostly rely on automated processes, data pipelines perform better.
Delivery of accurate and reliable data.
Unnecessary delays do not affect data delivery. Additionally, getting information is not difficult. By avoiding complicated architecture, Snowflake makes it simpler to determine dependability and track down the source of data. Analysts convert the given data accurately and efficiently into insightful business knowledge.
No hardware or software setup is necessary.
Hosting on public cloud infrastructure eliminates the need for data engineers to build up physical hardware on-site or off-site. Additionally, no program installation is necessary. Consequently, Snowflake Data Warehouse requires no physical space and is incredibly simple to install.
Snowflake focuses on data delivery.
Data engineers working with outdated infrastructure spend more time managing the limitless amount of incoming data than actually delivering it. Utilizing Snowflake allows businesses to focus on data provision rather than infrastructure administration.
Create data pipelines using your preferred language.
With Snowflake, data engineers can create data pipelines in their own language. The technology is compatible with popular programming languages like Scala and Java.
Final remarks
Snowflake has a lot to offer the data engineering industry. When it comes to working and deployment, it has a high degree of flexibility and minimal complexity in sending raw data from sources to a data warehouse. With Snowflake’s cutting-edge technology and Brigita’s expertise, organizations can confidently navigate the complexities of data analytics and thrive in today’s data-driven world.
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