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Every year, at this time, blogs like this one like to try and predict what’s going to happen in the year ahead. It’s a way of drawing a line under the archive and starting afresh. A rejuvenation that, as humans, we find life-affirming.

Ten years ago, I would have had high confidence in these predictions — after all I was eventually right about SVG adoption, even if it took a decade. But the last few years have shown that web design is tightly interwoven with the muggle world, and that world is anything but predictable.

So as we look at what might occur in the next year (or five), think of it less as a set of predictions and more as a wishlist.

Last Year’s Predictions

When I write this post every January, I like to keep myself honest by glancing back at the previous year’s predictions to gauge how accurate (or not) my predictions have been.

Last year I predicted the long-term trend for minimalism would end, WordPress would decline, cryptocurrency would go mainstream, and then hedged my bets by saying we’d make both more and fewer video calls.

Gradients, maximalism, and the nineties revival pulled us away from minimalism. It’s still popular, just not as dominant.

WordPress is still the biggest CMS in the world and will continue to be for some time. But the relentless grind of no-code site builders at the low end, and being outperformed by better CMS at the high end, mean that WordPress has passed its peak.

Over-inflated predictions for BitCoin reaching $100k by December 2021 turned out to be a damp squib. In the end, Bitcoin only tripled in value in 2021. However, with micro-tipping and major tech companies moving into the arena, it’s clear digital currency arrived in the public consciousness in 2021.

And how could I be wrong about more but also fewer video calls? So I’m calling that my first clean sweep ever. With that heady boast, let’s take a look at the next twelve months.

What Not to Expect in 2022

Do not expect the Metaverse to be significant in anything but marketing speak. Yes, the hardware is slowly becoming more available, but the Metaverse in 2022 is like playing an MMORPG on PS5: theoretically, great fun, until you discover that absolutely none of your friends can get their hands on a console.

Ignore the blog posts predicting a noughties-era retro trend. All those writers have done is looked at the nineties-era trend and added a decade. Fashions aren’t mathematical; they’re poetic. Retro happens when people find a period that rhymes with present-day hopes and fears. After the last couple of years, if we revisit a decade, it’s likely to be the late-forties.

Finally, don’t expect seismic change. Material design, parallax scrolling, and jQuery are still with us and are still valid choices under the right circumstances. Trends aren’t neat; they don’t start in January and conclude in December.

5 Web Design Predictions for 2022

Predictions tend to be self-fulfilling. So we’ve limited ourselves to five trends that we believe are either positive or, at worst harmless. Of course, there are no guarantees, but if these come to pass, we’ll be in good shape for 2023.

1. The Blockchain is Coming

Underpinning the cryptocurrency industry are blockchains. In simple terms, they’re a set of data that can be appended to but can’t be edited or deleted. Think of it as version control for data.

As with most technology, the first wave has been a way to make a fast buck. However, the exciting development is blockchain technology itself and the transformative nature of the approach. For example, Médecins Sans Frontières reportedly stores refugees’ medical records on the blockchain.

Imagine the Internet as a set of data, editable for a micro-fee, and freely accessed by anyone anywhere. Instead of millions of sites, a single, secure, autonomous source of truth. Someone somewhere’s working on it.

2. Positivity & Playfulness & A11y

Even before world events descended into an endless tirade of grim news, time was running out for dull, corporate, geometric sans-serif design.

We added gradients, we added personality, we embraced humor. And contrary to the established business logic, we still make money. Over the past few years, there have been extraordinary efforts by designers and developers to examine, test, and champion accessibility, and thanks to them, inclusive design is no longer reliant on the lowest common denominator.

In 2022 you can get experimental without obstructing 10%+ of your users.

3. Everything Green

Green is a fascinating color, the primary that isn’t (except in RGB, when it is).

Green has the same visual weight as blue, is substantially more flexible, and yet to date, has been radically underutilized in digital design.

Green has a prominent cultural association with the environment. At a time when tech companies are desperate to emphasize their ethical credentials, marketing companies will inevitably begin promoting a brand color shift to green as a quick fix for all those dumped chemicals, strip mines, and plastic-filled seas.

We’ve already seen earthy hues acquire popular appeal. At the other end of the vibrancy scale, neons are popular. Green spans both approaches with everything from calm sages to acidic neons.

In 2022, if you’re looking for a color to capture the moment, look to green.

4. Hero Text

A picture is supposed to be worth 1000 words, although I’m not sure anyone has actually tried to measure it. The problem is that sites increasingly rely on stock images, so the 1000 words that we’re getting may or may not accurately reflect 100% of our message.

In 2022, a handful of well-chosen words will be worth more than an image, with hero images taking a back seat to large hero text. This is aided by a number of minor trends, the most notable of which is the willingness of businesses to look beyond the geometric sans-serif to a more expressive form of typography.

Reading through the prediction posts on sites other than this, almost everyone agrees on large hero text replacing images, which virtually guarantees it won’t happen. Still, at the start of 2022, this seems to be the direction we’re taking.

5. Bring the Noise

One of the unexpected consequences of the past couple of years has been a renewed connection with nature. The effortless complexity in nature is endlessly engaging.

We’ve already begun to popularise gradients — there are no flat colors in nature — and the next logical step is the addition of noise.

In visual terms, noise is the grainy texture that sits so beautifully in vector illustrations. Noise has dipped in and out of trends for years, hampered a little by the leap in file size it creates. However, with WebP and Avif file types, noise is now usable on production sites.

Designing in 2022, when in doubt, throw some noise at it.

 

Featured image via Unsplash.

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The post 5 Big Web Design Predictions for 2022 first appeared on Webdesigner Depot.

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The Cloud is ubiquitous: any company looking to ramp up quickly will provision its compute, networking, and storage with its preferred cloud provider, and get started rolling out their products.  That makes total sense from a business perspective.  The Cloud has simplified development and automation exponentially over the years, and emerging tech such as AI and IoT will only accelerate this.  

However, the catch is that the very same foundational architectures which drive the Cloud’s efficiency, flexibility, and cost benefits ultimately also are its weakest links from a security perspective.   The result is the daily march of headlines we all read about: ever larger and deeper breaches of data and systems.

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From intrusion detection to threat analysis to endpoint security, the effectiveness of cybersecurity efforts often boils down to how much data can be processed in real-time with the most advanced algorithms and models.

Many factors are obviously involved in stopping cybersecurity threats effectively. However, the databases responsible for processing the billions or trillions of events per day (from millions of endpoints) play a particularly crucial role. High throughput and low latency directly correlate with better insights as well as more threats discovered and mitigated in near real-time. Cybersecurity data-intensive systems are incredibly complex: many span 4+ data centers with database clusters exceeding 1000 nodes and petabytes of heterogeneous data under active management.

Source de l’article sur DZONE

Maps are a fascinating method for delivering content. At their best, they can create an intuitive way of presenting information and interacting with it. This is the advantage that digital maps, through mobile apps and websites, have over print maps and images where no interactivity is possible.

But it’s important to understand that more data ≠ better experiences. We all now have so much data available to us through multiple services that, arguably, the greatest challenge isn’t sourcing information but filtering it out. We can only handle so much information input before we become overloaded. This issue risks being omnipresent with maps. There are so many potential points of interest on a map that it’s essential to be clear about what needs to be exposed to users.

Also, UX design, map design, and user interface are all critical. While maps can be a powerful way of drawing people in, if end-users feel that you didn’t even consider the visual design, they’ll ‘bounce off’ your site or app in moments.

Common Use Cases

When are maps useful, and what problems do they solve? Let’s dive right into the most common use cases for maps used in web design.

Navigation and Direction

Like Google Maps shows, navigation and direction are arguably the classic case study for interactive maps. You are in one place and need to get to another. You can enter your destination, your current location, and the map will present suggestions for getting there. You can select the method of travel and adjust desired departure or arrival times. But you need to understand first what functionality your users need. How these options are exposed to users is a critical piece of UX design.

Also, if users are searching for options such as somewhere to eat, it’s not so straightforward. Then, how your map handles panning in real-time as users swipe around a city is going to be a big issue.

Showing Relationships and Trends Geographically

This is something that you’ll see in every election in any western country. We’re all used to seeing maps that give us a state-of-play for which state or seat is held by which party. Then, we might see projections based on voter intentions and projected voting swings deriving from that. Then, exit poll data can be projected with the map updated on an ongoing basis until the final result is confirmed.

The capability to do this is essential because if a static map were used, it’d be out of date any time a new poll was released. Also, voting intentions can change over a campaign, so such maps need to be dynamic. Of course, such maps are only as accurate as the available data, as the US 2016 election map showed.

Show Points of Interest

As mentioned previously, there’s a lot of data that can be exposed to map users. However, that doesn’t automatically mean that it should be. Usability is key. For example, when you look at a map, you’ll typically first see key points of interest. Which points of interest are going to be presented to you can vary.

One variant is zoom level. If your map is currently showing an entire city, the level of detail the map presents is deliberately limited. You’ll see districts, large roads, or geographic features such as rivers. If more detailed information were presented, users on mobile devices, in particular, would be overwhelmed. Even at this level, you’ll notice typography differences. These can include the city name being in bold or the names of different areas in capital letters. So the level of detail is coupled with the scale of the map. Zooming in a few notches will expose significant points of interest, such as museums. Zooming in to specific districts will reveal restaurants, coffee shops, and universities. This visual hierarchy is a critical way of managing the exposed level of information.

But information is still being abstracted away. It’s not until you tap on the museum that you’ll see information on opening hours and busy times. This is also typically presented with user photos and reviews. Context is also taken into account, so you’ll start to see local hotels and restaurants. So it’s not just individual points of interest that are important, but the connections between them.

6 Tips For Improving Interactive Maps

What are the challenges of creating effective maps, and how do people address the data overload problem? We’ll answer this question and go over the must-know aspects of map creation.

1. Ensure Security and Brand Trust

GDPR or General Data Protection Regulation. This is a critically important European law that extends a wide range of legal protection to European citizens regarding personal data. It’s not possible here to cover the full extent of the law, but here are some quick key points:

  • Consent is required for the processing of personal data; it cannot be assumed
  • You need to have a retention policy for information that’s capable of identifying people

Be aware that the latter doesn’t just cover commercial purposes. Research students have to submit GDPR forms that address what kind of data they’re sourcing and how they’ll be retaining it.

But the most crucial context is commercial. If a business suffers a data breach, it can be fined up to 20 million euros or 4% of annual worldwide turnover in the preceding financial year, whichever is greater. Therefore, any business storing data that could identify their customers will need to assess risk and compliance. Remember: it’s 4% of worldwide turnover, not EU turnover.

Also, anything of your business that you expose to your customers or users is an extension of your brand. Therefore, you need to assess your maps for brand compliance too. If you have primary brand colors and your map doesn’t abide by them, that’s a very poor look. Source the color hex codes directly from your brand team and involve them in design.

2. Use the Appropriate Type of Map

It’s also important to consider what type of map is most appropriate for your use case. Think carefully about what your users need, what you’re trying to communicate, what information you need to present, and how best to present it.

For example, points of interest style maps in a tourist app will be way more helpful than heat maps: people want to know where something is, key data like opening hours, and how to get there. A heat map showing the number of visitors to each attraction or area of a city is unlikely to be useful to tourists. However, it could be useful to the attractions themselves to map their visitors by heat map over time. This could help larger museums chart which exhibits are most popular.

Transport for London is charting passenger movement on the London Underground by detecting when a device with Wi-Fi comes into range and then passes out of range. They’re using this to understand overall user journeys and movements within individual stations to better manage disruptions.

3. Avoid Pop-Ups

It should go without saying by now that auto pop-ups are despised. It doesn’t matter what they’re doing or what they’re offering; an unwanted pop-up can only get in the way. The level of impact is even greater on a phone where pop-ups take up even more screen space.

Given this, many users close them without even reading them. So if you’re using pop-ups, don’t kid yourself. You’re likely just irritating users and increasing the likelihood that they’ll ‘bounce off’ or uninstall.

4. Avoid Auto-Geolocation

Auto-geolocation sounds incredibly convenient but can result in some real problems. For example, if there are any bugs with auto-geolocation, you could get false results. If someone connects through public building Wi-Fi, you could get false results. If they’re connecting through a VPN then, unless you get the user’s IP address and check if it’s the exit portal of a VPN, you could get false results.

The problem is most significant with mobile maps. If a map user is looking at a points of interest map, they likely have a specific and immediate use. This means it’s in their best to get the most accurate results possible. So why not just ask them?

Precision and Accuracy

These terms have specific meanings in geolocation. ‘Precision’ is the exactness of the data. ‘Accuracy’ is how closely the information on a map matches the real world. So you want precision and accuracy to be spot on, or data risks losing value. This applies not just to the gathering of data but to the representation of it. For example, if you have street-level data but your maps don’t present individual streets, then any representation of data on that map is likely to have poor accuracy. That map might succeed in abstracting irrelevant information but presenting an imprecise and inaccurate view.

5. Avoid Map Legends as Much as Possible

In many cases, primarily points-of-interest maps, they’re just not needed anymore. An essential part of user experience design isn’t just visual hierarchy but information hierarchy. You can mouse over on a desktop or laptop to get the essentials of a location, e.g., the museum’s name and its opening hours. On a mobile device, you can tap on that location to get the essentials, and you can tap on another location to move on; you don’t even have to press back. Given that, a legend would get in the way. So this simple piece of information design solves information overload issues.

As with all rules, there are exceptions. A good one is a heat map where a density of what’s being measured needs to be communicated. It doesn’t matter what the data is; it just needs to be something where mapping provides greater insight, especially if it informs decision-making. Sales is an excellent example for a national or multinational company. Of course, weather forecasting can make use of literal heat maps.

6. Accessibility Compliance

Not everyone has perfect eyesight. Even if someone has excellent vision, they could still be colorblind (8% of men and 0.5% of women are). Given that, take the W3C’s accessibility standards into account and treat them as a baseline or minimum barrier to entry for compliance. You shouldn’t feel good about the possibility of excluding 8% of your potential audience or customers. Ensure you keep your UX designers involved and don’t shy away from creating senior-friendly web designs.

Put simply: imagine if you could appeal to a new demographic that’s not catered to. If your competitors ignore them, you could give them a real reason to choose you instead by taking some straightforward steps. If your competitors are catering to them, you also need to. If you don’t, you’re just giving potential customers a big reason to ignore you.

Conclusions

The key takeaway is that there’s far more to creating good maps than just good cartography. That can be critical, too, though this may vary depending on the use case.

This will be a team effort because your map will involve data sets, design decisions, and, yes, cartography. You’re going to need to involve brand and IT too. So think about design principles and development methodologies.

First and foremost, what are your users’ needs? If you haven’t done any user research or taken the time to understand the customer journey, are you adding anything or getting in the way? It’s easy to see the department that requested the map as stakeholders, but you should probably view your users as stakeholders too.

This sounds complex, but as you hopefully now appreciate, a map is probably more complicated than you thought.

 

Featured image via Pexels.

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The post The UX of Maps in Web Design first appeared on Webdesigner Depot.

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Modern data-driven applications are based on various data sources and complex data stacks that require well-designed frameworks to deliver operational efficiency and business insights. Data pipelines allow organizations to automate information extraction from distributed sources while consolidating data into high-performance storage for centralized access. In this Refcard, we delve into the fundamentals of a data pipeline and the problems it solves for modern enterprises, along with its benefits and challenges.
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AngularJS is one of the most trusted frontend frameworks by enterprises. The frontend framework has multiple features that work the best for developers. In this section, we will learn about the use of expressions in AngularJS.

Definition:

Expressions in AngularJS are used to bind data with HTML. The AngularJS expressions are code snippets like that in JavaScript, which are usually placed in the interpolation bindings. However, you can directly make use of expressions in directive attributes.

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The global artificial intelligence market is expected to reach over $200 billion by 2027. The big data market segment is anticipated to grow up to US$103 billion by 2027 with a share of 45% from the software segment. Similarly, the projected size of the global deep learning market will reach over $40 billion by 2027 at a CAGR of 39.2%.

Indeed, the implementation of technologies like data science, artificial intelligence, and machine learning in organizations has increased exponentially. In the last two years, during the pandemic outbreak, the technologies played a crucial role in saving lives and fostering economic resilience, showing many surprising trends. 

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We utilize relational data models to improve database performance and allow users to recreate real-world relationships. The shipping and tracking app blueprint showcases these capabilities in action, with the help of custom codeless APIs.

App blueprints are more than just templates from which to build a specific type of application. We design all of our free App Blueprints to provide one or more key functions that a developer would want to add to their application, regardless of the app’s business use.

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This is the fourth and final post in our series on how you, the developer, can build or improve your company’s notification system. It follows the first post about identifying user requirements, the second about designing with scalability and reliability in mind, and the third about setting up routing and preferences. In this piece, we will learn about using observability and analytics to set your system and company up for success.

Developing an application can often feel like you’re building in the dark. Even after development, gathering and organizing performance data is invaluable for ongoing maintenance. This is where observability comes in—it’s the ability to monitor your application’s operation and understand what it’s doing. With close monitoring, observability is a superpower that allows developers to use various data points to foresee potential errors or outages and make informed decisions to prevent these from occurring.

Source de l’article sur DZONE