Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Beginner’s Guide to Hadoop
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > The Beginner’s Guide to Hadoop
AnalyticsBig Data

The Beginner’s Guide to Hadoop

jaredjaureguy
jaredjaureguy
6 Min Read
Image
SHARE

ImageIt’s strange to think that something named after a toy elephant could become so influential within the tech community, and yet that’s exactly what has happened with Hadoop. Perhaps this shouldn’t come as a shock.

ImageIt’s strange to think that something named after a toy elephant could become so influential within the tech community, and yet that’s exactly what has happened with Hadoop. Perhaps this shouldn’t come as a shock. After all, in just the past few years, big data analytics has grown in popularity, with many businesses and organizations finding ways to analyze the data they collect, discovering interesting new insights. And with increased interest in big data, Hadoop is naturally going to be involved. Though Hadoop is more well-known, it still can be hard to understand for those who aren’t closely tied with data science. This has become a bit of a problem, especially for businesses where top level executives have very little expertise when it comes to big data. Despite this, there remains a definite need to get to know Hadoop. Consider this, then, a type of resource that beginners can turn to in order to become just a bit more familiar with the platform.

Put in fairly simple terms, Hadoop is an open source software framework used for big data. Or, as the Apache Software Foundation explains, it’s a framework that “allows for the distributed processing of large data sets across clusters of computers using simple programming models.” This definition may still be a bit too complicated for newcomers to fully grasp, though. Think of Hadoop instead as a platform that simply makes it easier to manage big data and perform analytics. There’s no real need to get into the nitty gritty details of what it is and how it works if you’re just starting out, so keep that admittedly basic idea in mind.

Hadoop is sort of an off-shoot of a project that originally went by the name of Nutch. The goal was to get faster web search results by distributing the needed data and calculations across multiple different machines. One of the men behind the project, Doug Cutting, took the idea when he went to work for Yahoo, eventually dividing Nutch into two parts. Hadoop would be the part that focused more on distributed computing and processing. Cutting would name the platform after his son’s toy elephant, which is why you see an elephant used as Hadoop’s mascot and on its logo. In 2008, Yahoo would release Hadoop to the public at large as an open source project, giving more people than ever before the opportunity to contribute, improve, and utilize the platform.

More Read

Image
Know Your Numbers: The Dollar-Driven Guide to Holiday Emails
3 Huge Reasons that Data Integrity is Absolutely Essential
Where Does Big Data Fit In When Designing A Website?
5 Amazing Ways to Use Data Analytics to Become A Profitable Trader
Talk Analytics with Executives: 4 Things You Must Understand

With Hadoop’s history in mind, it’s important to know what some of its benefits are and how it works. Two characteristics need to be understood to some degree. First, Hadoop can store very large amounts of data. In fact, the constraints normally associated with storage get thrown out the window. Now you can store data across more than one node or server, effectively getting rid of certain storage limits. Second, processing data happens in a similar manner. This processing of data is called MapReduce, another term you’ve probably heard before. With MapReduce, data isn’t moved over a network to the software like in traditional methods. Instead, the software is taken to the data itself. This makes processing it a lot faster, something that most businesses can take advantage of to varying degrees.

The benefits don’t end there with Hadoop. In addition to increased storage and computing power, Hadoop protects against hardware failure. In other words, because of its distributive nature, if a node or server were to go down, jobs would still be protected by being redirected to other nodes. Copies of the data are stored, so you won’t lose out on your work. Hadoop is also relatively easy to scale and flexible enough to handle many different types of data, like videos, images, text, and more structured sources. That’s not to mention the benefit of it being low cost due to its open source nature.

That’s not to say Hadoop is without challenges. Hadoop security remains an issue, though there are ways to address the problems. Hadoop is also very complex, and there’s a noticeable talent gap concerning those who can actually use it well. Even with the challenges, Hadoop provides tremendous opportunities to those that want to use it for big data analytics. Many large companies like Google and IBM employ Hadoop, and the potential is there for many more to do so. Hopefully this beginner’s guide can get you started on that path.

TAGGED:hadoopinformation technology
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The specific benefits of business intelligence in Insurance

16 Min Read

What Is a Data Scientist (and What Isn’t)?

7 Min Read

Information Optimization Is a Key Benefit of Big Data Investments

10 Min Read

Training students on mega-scale data

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?