This video is designed to highlight the major differences between the normal web sites we see in search results and the databases, services and websites that are found in the Hidden or Deep Web. It teaches: How deep web resources are different than public websites and search results Why deep web resources often require special permissions or payment Where to find free access to the deep web How the deep web is used in research and everyday situations Video Transcript: When it comes time to do research, the first step is often search engines. Using a search term, we can find websites, images, videos, blog posts and more that are free to view and can be useful. But in reality, search engines can only see a small amount of what’s out there. For the best research, we need to find information that doesn’t appear in normal search results. That’s in what’s called the “hidden” or “deep” web and understanding it is a key to quality research. Think about it like this… Search engines like Google are constantly scanning the web and organizing search results based on what they can see. The problem is that search engines can’t log into websites or private databases, so all that valuable information remains hidden, just below the surface. This is the deep web and some say it’s up to 500 times bigger than the free web we see in search results. The question is, how can researchers use the deep web to find information? Often, using the deep web for research requires payment or special permissions for access. That’s because deep web resources are often high value and authoritative, like a textbook, which contains facts and proven information. Thankfully, many libraries and schools provide access to deep web resources for free. To see how this works, imagine that you’re a law student who needs to research legal cases that involve vehicle safety. To start, you use a search engine to identify a few popular cases and opinions, but the information is not consistent or authoritative. To round out your research, you need the deep web. Thankfully your university library offers access to a number of online databases that make legal research easier. Or, imagine you want to rent your house. When someone applies, it’s your job to find out if they are trustworthy. A search on the free web may show some interesting information. But it’s difficult to find reliable information on their credit or criminal history. So, with their permission, you might pay a small fee to use a background check website to find the right information via the deep web. The big idea is that normal search results can only go so far. When you need reliable, authoritative information for research, remember that the deep web is full of useful resources that may come with a fee or be accessed for free from your library or school. .................... This FAQ library was created by Eran Bucai. Eran is an online entrepreneur who is passionate about helping people find success building a profitable business online without the high ticket prices and without the marketing hype. Eran has a tech support membership which you can learn more about here: DotComTruths.com Eran helps people choose the best software for their business which you can find out more by visiting EranFunnels.com/software.

Within the last few years, applications or “apps” have gone from being big software programs on computers to small and downloadable apps on mobile devices. This video explains what caused this evolution and how it is impacting our lives today. It teaches: The big idea of applications and how they work with computers The role of “platforms” and how they changed thanks to mobile devices The evolution to smaller, cheaper apps that become collectible The role of online marketplaces for marketing and distributing apps How apps are now becoming a part of browsers, social networks and game systems Video Transcript: The chances are you’ve been using apps for years. Your home or work computer has apps like a spreadsheet program, calculator or photo editor. Recently these apps, or applications, evolved in a big way. Let’s start with platforms. You know, a place to put things. A table, in a basic sense, is a platform. You plug in some plates, cups and flatware and it turns into a great place to eat. Computers work the same way. They create platforms for software applications. A spreadsheet and an accounting app can turn a computer into a business tool. Music and video apps can make a computer a studio. For most of their history, apps have seemed big and expensive. We often bought them at a store and loaded them onto a computer with a disk. And most of these apps didn’t connect to the Internet. Recently platforms have changed in big ways. Our mobile phones and tablets became useful platforms just like our computers, and this enabled a different kind of app. Instead of big expensive programs, many apps became smaller and cheaper. Instead of coming in a box or taking hours to download, they could be purchased or downloaded for free from the Internet with a click, even on the go. This made apps collectible. For little investment, we could collect apps on our devices that reflect our needs and interests. One person’s collection may focus on gaming, another, business, or both. Now apps may wake you up in the morning, give you a snapshot of the news, play the music you like, help you get to the airport, check you in and help you read your new book all from the palm of your hand. To support all these new apps, we need online marketplaces that make them easy to purchase and download. This way, small teams and large organizations have a way to market, give away or sell thousands of new apps. And these new apps have another advantage. Many are built to work with the Internet. This means they can back up your work, play your music, or connect you with friends, wherever you are - without opening a web browser. But it’s not just phones and tablets. Computers, browsers, social networks and gaming systems have all become platforms for a new generation of apps. So apps aren’t really new. What have changed are platforms and marketplaces that make them easy to purchase and collect for whatever you need to do. ................... This FAQ library was created by Eran Bucai . Eran is an online entrepreneur who is passionate about helping people find success building a profitable business online without the high ticket prices and without the marketing hype. Eran has a tech support membership which you can learn more about here: DotComTruths.com Eran helps people choose the best software for their business which you can find out more by visiting EranFunnels.com/software.

Incredible amounts of data are produced every day, so much that we can’t use it all. Big data is a term used to describe the tools and processes that seek to make this data useful and productive. This video uses the example of traffic data to teach: Where big data comes from and how it’s collected Why special tools are required to use it The three big challenges: Volume, Variability and Velocity The potential of big data across multiple industries Video Transcript: Imagine standing at an intersection. Every time the lights change, you count and record the number of cars that drive through. Over a day, you collect some basic data. Over a week, your data gets more useful and over a month, it becomes a potential resource for discovering ways to make the intersection more efficient. It’s this idea, collecting data on a huge scale and analyzing them, that may help us see new opportunities to solve big problems. Let’s say that instead of you recording cars at one intersection, we put sensors at every intersection in the U.S. and they all report data. Over a day, the sensors report millions of pieces of data, over a week, billions and in a month, over 100 billion pieces - and growing every day. Hidden in this big pile of growing data are important clues that could help commuters save time. That’s the goal of big data – turning all these data into useful information. But it’s not that easy. Big Data is really huge and complex data. To make it useful information we need a few things in place. First, we need a place to put it - our normal computers and programs are too small and slow. Big Data needs serious computing power. Second, we have to handle lots of incoming traffic data, which may come from multiple sources and in different formats. To be useful, it needs to be in a format that makes it similar and comparable. But we also need to handle data about relevant and changing conditions, like weather or gas prices. With these systems in place, we can collect and analyze huge amounts of complex data in real time - data that can provide clues to solving traffic problems and a lot more. Consider the enormous amount of data produced by the healthcare industry, weather organizations and social networks. These data could help with healthier lives, safer families and more successful businesses. Today scientists, technologists, entrepreneurs and organizations of all types are focused on putting big data to work. By understanding the challenges of working with Big Data, we can make it work for us. While big data may not make the light change when we want, it may help us find ways to get around a little more efficiently. ................... This FAQ library was created by Eran Bucai . Eran is an online entrepreneur who is passionate about helping people find success building a profitable business online without the high ticket prices and without the marketing hype. Eran has a tech support membership which you can learn more about here: DotComTruths.com Eran helps people choose the best software for their business which you can find out more by visiting EranFunnels.com/software.

This video is an introduction to the basic ideas of algorithms. It explains how computers, websites and digital products need instructions that answer the question “what should I do next?” in order to complete tasks, serve customers and gather information. It teaches: Why algorithms are similar to offline customer service How to think about and visualize an algorithm Why algorithms run our favorite websites How a popular music website might use algorithms Video Transcript: When you visit your local coffee shop, it’s a nice feeling when they recognize you. You don’t see it, but you can imagine the barista following a set of simple instructions in their mind when you walk in. It may go like this: A new person arrived. Do I recognize them? If no, say “Hi!” If yes, go to the next step. Do I remember their name? If no, say “Welcome back.” If yes, address them by name. Every day, this process repeats and customers experience great service. For a coffee shop, it works well because the baristas remember dozens of regular customers. When we use things like websites and computers, a similar process happens. These technologies rely on instructions that are programmed to make decisions like the barista in our coffee shop. These sets of instructions are called algorithms and they are a part of nearly everything we do in the digital world. For example, when we take a digital photo, move a mouse, or type a word in the real world, algorithms are working behind the scenes to turn these actions into something digital on the screen. But on the web is where you’re likely to see the magic of algorithms in action. Whether it’s search results, your news feed, or your favorite app, algorithms are working behind the scenes to figure out what to show you next. For example, a popular website may have algorithms that, in a blink of an eye, go through thousands of steps for millions of visitors every day. Consider a music website that must always account for new music, changing user tastes and their business. Designing better algorithms can be a big way that they make their website better. Here, algorithms help them understand who their visitors are, What music is likely to appeal to some users, How often songs are played by different types of users, And who should see the latest offer. It’s going through steps like these and thousands of others that are the building blocks of algorithms on popular websites. And they matter. Teams of people are constantly designing and updating algorithms to reflect changes over time. When they’re working as designed, they can make your favorite websites feel more personal and useful. You may even start to feel like the website knows you better than your local barista. This FAQ library was created by Eran Bucai as a free resource to help beginners understand the online world. Eran is the founder of Dot Com Truths , a membership that helps entrepreneurs solve every day problems without the marketing hype or high ticket prices. Eran lives off passive income thanks to affiliate marketing, his membership and freelance business where helps course creators and membership site owners with their software and technology challenges through 1:1 done-with-you services and information products. Eran has a free Facebook group you can join. By answering the questions upon entry, you'll be given automatic access and an email with a free mini-course on how to start an online business. (keep an eye out for an email within the hour or requesting to join the Facebook group).

Technology - Eran Bucai

What is Deep Web?

When it comes to research, search engines are not enough. Waiting just out of their sight is a world of valuable resources called the Hidden or Deep Web.

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What are Libraries in the Internet Age?

It’s easy to question the value of libraries now that we have the Internet at our fingertips. But it’s because of greater access that libraries have become providers and navigators of more information than ever before.

internet

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What are Apps?

An explanation of apps - how and why they evolved to become smaller, cheaper and mobile.

apps

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What is Big Data?

Big data has the potential to change the world. This video explains what big data is, its considerations, and its potential benefits.

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What is a Computer Hardware?

A short explanation of the basic parts of a computer.

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What is Public Domain?

It’s easy to assume that creative works like photos, essays, and recordings have an owner who can control them. But there is a big exception. Works in the public domain are not controlled or owned by anyone and are free to use. This video explains the public domain and how works in the public domain can be used.

domain

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What is Deep Web?

What are Libraries in the Internet Age?

What are Apps?

What is Big Data?

What is a Computer Hardware?

What is Public Domain?

What is Gamification?

What is Copyright and Creative Commons?

What is Augmented Reality?

What are Algorithms?