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: Top Considerations When Working with Big Data
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 > Top Considerations When Working with Big Data
Data WarehousingUnstructured Data

Top Considerations When Working with Big Data

Brett Stupakevich
Brett Stupakevich
0 Min Read
SHARE

big data opportunities and challenges photo (business intelligence software)Daily Finance columnist Anders Bylund (@TMFZahrim) made a big deal about Big Data 

big data opportunities and challenges photo (business intelligence software)Daily Finance columnist Anders Bylund (@TMFZahrim) made a big deal about Big Data investments this past week and showcased how BI software is the solution for dealing with all the data once you have your “enormous database.”

While this column was directed at companies to invest in, Bylund provided a good example in calling data analytics software “the muscle to wring meaning from it [Big Data].”

However, it’s not as simple as purchasing software when you consider today’s deluge of data, according to a Search Data Management article. The traditional data warehouse is full of data that’s mostly structured, says Forrester analyst Brian Hopkins (@practicingEA). That’s not the case anymore – today’s data is semi-structured at best.

More Read

Is love for Twitter blind?
US computer scientists have found that random networks – the…
The Internet of Things – What an opportunity!
Business Intelligence/Data Warehousing Emerging Trends (but not breakouts): 9 for ’09
Can Ants Help Solve Traffic Jams?

The “extract, transform and load process” that fed reporting and analytics in the past is not effective anymore. Hopkins says that in this model, less than 5 percent of a company’s data is used.

The bad news about Big Data is that it can be expensive to go with the traditional data warehousing route when data is so plentiful. The good news is that there are alternatives in technology that can help reduce the cost and increase the usefulness of data.

Wayne Eckerson (@weckerson) says that many organizations are looking beyond the traditional data warehouse solutions and into “emerging big-data technologies such as open source Hadoop and MapReduce.” .

Another strategy comes from Richard Winter, president of Winter Corp., a consulting firm focused on data warehousing. He says organizations can use analytics to “gain business insights [from Big Data] that previously would have been difficult to uncover.” His example was a “smart” asthma inhaler that collects data about the user, when it was used and where. Analysis of this data could lead researchers to deeper insights on how allergens environmental factors affect asthma.

Philip Russom (@prussom), research director for data management at TDWI, says focusing on value can help alleviate the paralysis associated with managing data. He recommends focusing in on a “high payback area such as customer behavior.”

Takeaways:

  • Analytics software can help you generate value from all that data, but it’s not the end-all solution. You need a good data management plan as well.
  • Big Data doesn’t have to cause paralysis if you focus on areas where data can tell a story or bring insight to a business unit.
  • Emerging technologies are helping with the speed of processing and analysis and to reduce costs in data management.

Be sure to follow the TDWI World Twitter feed (#TDWI) as  the week long data warehousing conference  in San Diego ends today.

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

Critics of carbon capture and storage (CCS) often deride the…

2 Min Read

IBM’s Indian research division has developed a new…

1 Min Read

The confluence of BI and change management

5 Min Read

Business Objects-Scheduling Servers

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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?