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: Is Hadoop Knowledge a Must-Have for Today’s Big Data Scientist?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Software > Hadoop > Is Hadoop Knowledge a Must-Have for Today’s Big Data Scientist?
AnalyticsBig DataHadoopMapReduce

Is Hadoop Knowledge a Must-Have for Today’s Big Data Scientist?

Farnaz Erfan
Farnaz Erfan
3 Min Read
big data scientist skills
SHARE

Finding data scientists and other highly technical resources that understand the complexity of big data is one of the most common roadblocks to getting value from big data. Typically, these resources need to understand Hadoop and new programming methods to read, manipulate and model big data.

As big data analytics tools advance, addressing these technologies will become less difficult, so big data scientists must master additional skills.

To make a real business impact, data scientists must have:

Finding data scientists and other highly technical resources that understand the complexity of big data is one of the most common roadblocks to getting value from big data. Typically, these resources need to understand Hadoop and new programming methods to read, manipulate and model big data.

More Read

salesforce einstein analytics
Deciphering Value Points Of Salesforce Einstein Analytics With Big Data
Rescue Squad – A Validation of Performance Management Software
Transforming 100 Blog Posts into 1 Wordle
5 Unique Ways People Use Social Data In Their Business
10 Fascinating Examples of Big Data In Healthcare

As big data analytics tools advance, addressing these technologies will become less difficult, so big data scientists must master additional skills.

To make a real business impact, data scientists must have:

big data scientist skills1. Innate analytical skills
They must have a natural curiosity for experimenting with data and often begin analysis without a clear picture of the end goal. This is a different paradigm than solving a specific, identified problem through coding or by running a query.

2. Business finesse
Sexy dashboards ultimately fail if a business doesn’t act on what the data is indicating. To succeed, data scientists must know how to translate the impact of their insights to the business.

3. Collaboration skills
Teamwork and the ability to collaborate across an organization separate those who use data to drive change from those who merely build interesting algorithms.

Big data advancements have brought technologies such as Hadoop to democratize big data to all. However, individuals skilled at data manipulation and programming in Hadoop remain scarce. Fortunately, new, innovative and easy to use big data discovery applications have broaden big data access to those without much technical skills.

So the question is: Will these new types of discovery applications for big data demand a different kind of data scientist going forward – one with analytical, interpersonal and business skills? Or would in-depth understanding of emerging technologies such as Hadoop continue to be the most important skills in ‘data scientists’?

TAGGED:big data sciencebusiness intelligencedata discoverydata management
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

How well are you protecting your enterprise content?

2 Min Read
china zip code business intelligence
Business IntelligenceBusiness RulesExclusive

How China’s Zipcode System Fuels Business Intelligence

7 Min Read

Are Some BI Vendors too Quiet?

4 Min Read
image fx (21)
ExclusiveNews

Data-Driven Business Shapes the Future of Roofing

6 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?