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: 3 Big Hadoop Myths Dispelled
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > 3 Big Hadoop Myths Dispelled
Big DataData WarehousingHadoopITMapReduceOpen SourceSoftwareSQL

3 Big Hadoop Myths Dispelled

MicheleNemschoff
MicheleNemschoff
4 Min Read
Image
SHARE

ImageAs with any new technological innovation, a lot of myths have been generated about Hadoop. At Strata + Hadoop World, held in NY at the end of October, Jack Norris, CMO of MapR, discussed three of those myths and how MapR dispels them.

 1. Hadoop Distributions are Incredibly Competitive

ImageAs with any new technological innovation, a lot of myths have been generated about Hadoop. At Strata + Hadoop World, held in NY at the end of October, Jack Norris, CMO of MapR, discussed three of those myths and how MapR dispels them.

 1. Hadoop Distributions are Incredibly Competitive

More Read

Image
How CRM upgrades could better supply chain management
The Big Deal in Big Data is a Big Opportunity
Netflix zip-code data: How about political overlay?
9 Amazing Ways Big Data Is Used Today to Change the World
24 Questions to Ask when Preparing Data for Analysis

Norris declared the vicious competition between Hadoop distributions a myth. There are many commercial Hadoop platforms to choose from, but they all share the same open source code. Since Hadoop was created by open source technology and is in its early stages, it has been necessary for commercial distributors to add their own innovations to the open source code to meet the needs of the enterprise customer. The type of innovations have varied, with some adding management functions on top of the open source product and others adapting the underlying architecture. As a result, there is a diverse ecosystem of Hadoop distributions available that, as the fastest growing big data technology, has been a huge job creator.

2. All NoSQL Solutions are Created Equal

Apache HBase, a NoSQL solution, is integrated with Hadoop and included in every commercial Hadoop distribution. However, just because HBase is included in each distribution does not not mean that it runs the same in each distribution because the architecture that supports HBase varies. A typical architecture for HBase includes multiple layers. HBase will run on Java which runs on HDFS which writes into the Linux file system which writes to the disk. Distributions will vary on how many layers are required to write HDFS, and the more complex those layers are the worse the performance. On the other hand, if those layers are condensed, performance is greatly improved.

3. Hadoop isn’t Enterprise Ready

The most popular criticism of Hadoop is that it isn’t ready to provide real value to enterprises. However, the number of businesses currently having success with Hadoop are more than enough to prove this theory is a myth. 

For example, Solutionary analyzes and processes 1 trillion log lines for its security service, and Rubicon Project processes 90 billion ad auctions per day with Hadoop. If you are looking for examples of companies that aren’t Web 2.0, consider a Fortune 100 retailer that runs more than 2000 nodes on Hadoop to use social media to better reach out to its customers or a financial services company that uses Hadoop to mitigate risk and create personalized offers for its customers.

The reality is Hadoop is being used in a variety of industries from Web 2.0 to waste management and healthcare. Currently, the Climate Corporation uses Hadoop to help farmers improve their crop production, and a beverage company in Japan has created kiosks that use facial recognition to create a customized interface.

Hadoop is an incredibly valuable technology that unfortunately is misunderstood by many. While Hadoop distributions vary, especially in their integration of NoSQL, there are enterprise-ready options available that many enterprises are already having success with.

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

Data Cleanup: Michael Clayton and The Consultant’s Role

4 Min Read
Data ManagementITPrivacySecurity

The Importance of Making Sure Your Healthcare Cloud Server is HIPAA Compliant

5 Min Read

Can You Create a New Business Model Based on Big Data?

7 Min Read
Image
Big DataData WarehousingIT

IoT’s role growing as cities are pressed to get smarter

2 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?