This Big Data tutorial by Kenneth Cukier provides an introduction to the world of big data. It covers topics such as what big data is, its benefits and challenges, and how to get started with it. This tutorial is a great resource for anyone who wants to learn more about big data.
Data is everywhere. It’s generated every time we use a search engine, post to social media, or make a purchase online. And as our lives move increasingly online, the amount of data being generated is only going to continue to grow.
This increase in data has led to the rise of “big data,” which refers to datasets so large and complex that traditional data processing techniques are no longer sufficient. So what exactly is big data? And what can we do with it?
In this tutorial, we’ll answer these questions and more as we explore the world of big data. We’ll start by looking at some real-world examples of big data in action. Then we’ll dive into the three Vs that characterize big data: volume, velocity, and variety.
Finally, we’ll discuss some of the technologies that are used to work with big data. By the end of this tutorial, you should have a good understanding of what big data is and how it can be used effectively.
Kenneth Cukier: Big data is better data
What is Big Data Ted?
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not just the amount of data that’s important. It’s what organizations do with this information that matters.
Big data can be used to improve decision making, create efficiencies, and drive innovation. So what exactly is big data? And how can businesses make use of it?
We asked these questions and more to big data experts Ted Dunning, Chief Application Architect at MapR, and Ellen Friedman, Distinguished Engineer at Hortonworks. Here’s what they had to say: What is big data?
Ted Dunning: I like to think of big data as having three V’s: volume, velocity, and variety. Volume refers to the sheer quantity of data that businesses have to deal with. This can be anything from customer purchase histories to social media posts and sensor readings.
Velocity refers to the speed at which this data is generated and needs to be processed. And variety encompasses all the different types of data that need to be managed – everything from text documents to images and videos. How did we get here?
What are some of the key drivers behind the growth of big data? Friedman: There are really two key drivers: increases in computing power and storage capacity, on one hand; and changes in the way we interact with technology, on the other hand. In terms of computing power and storage capacity, we’ve seen incredible advances in recent years.
Today’s computers are orders of magnitude more powerful than those of just a few years ago; and storage has become increasingly cheaper as well. As for changes in how we interact with technology, think about all the ways you generate digitaldata in your everyday life – through social media posts, online shopping transactions, GPS-tagged photos or videos… The list goes on and on.
What Do We Do With All of This Big Data Susan Etlinger?
Data is becoming increasingly ubiquitous. It’s generated by everything from our devices and wearables to the systems we interact with everyday. This data is then used to improve our lives in a variety of ways, from helping us make better decisions to improving the accuracy of predictions.
The problem isn’t that we don’t have enough data, it’s that we don’t know what to do with all of it. In her TED talk, Susan Etlinger discusses the challenge of big data and offers some potential solutions. One way to make better use of big data is through visualization.
By visualizing data, we can see patterns and relationships that wouldn’t be apparent otherwise. This can help us gain insights into complex problems and make better decisions. Another way to use big data is by combining it with other forms of information, such as qualitative data or expert knowledge.
This allows us to contextualize the data and understand it in a deeper way. Finally, we need to be careful about how we use big data. Just because something can be done doesn’t mean it should be done.
We need to consider the ethical implications of our actions and make sure that we’re using big data in a responsible way.
Why is Big Data Better Data?
It’s no secret that big data is becoming increasingly popular in the business world. But what exactly is big data, and why is it so beneficial? In this blog post, we’ll take a look at what big data is, why it’s better than traditional data, and how businesses can make the most of it.
What Is Big Data? Big data refers to datasets that are too large and complex to be processed using traditional methods. These datasets can come from a variety of sources, including social media, sensors, transactional data, and more.
While traditional techniques struggle with processing such large and varied datasets, newer big data technologies are designed specifically for handling them. This allows businesses to glean valuable insights from their data that would otherwise be hidden. Why Is Big Data Better?
There are many reasons why big data is better than traditional data. First of all, as we mentioned above, big data technologies are specifically designed for handling large datasets. This means that they can process them much faster and more effectively than traditional methods.
Additionally, big data analytics can uncover patterns and trends that would be difficult or impossible to detect using other methods. Finally, since big data comes from a variety of sources, it provides a more comprehensive view of whatever phenomenon you’re studying. For example, if you’re trying to understand customer behavior, you’ll get a much richer picture by analyzing their social media activity along with their purchase history than you would by just looking at one dataset alone.
How Can Businesses Make Use of Big Data? Now that we’ve answered the question “what isbigdata,” let’s take a look at how businesses can make useofit: 1) Improve decision-making: One of the most common uses forbigdatais to help businesses make better decisions. By analyzinglargeand varied datasets , businesses can identify trendsandpatterns that they might not have been ableto seeotherwise .
This information can then be usedto makedecisions about everything from productdevelopmenttostrategies for dealing with competitor s . 2) Optimize operations : Another common use forbigdatais optimizing business processes . By understandinghow customers interact with your business ,youcan identify bottlenecks and areasforimprovement . You can also use predictiveanalyticsto anticipate future demandso youcan plan accordingly .
In this tutorial, Kenneth Cukier walks us through the basics of big data. He starts by explaining what big data is and how it is different from traditional data sets. He then goes on to discuss the three V’s of big data: volume, velocity, and variety.
Cukier finishes with a discussion of some of the challenges involved in working with big data.