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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Technology for technology’s sake
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 > Technology for technology’s sake
Data Warehousing

Technology for technology’s sake

TeradataAusNZ
TeradataAusNZ
6 Min Read
SHARE

I have been knocking around the IT industry in Australia for a while now and it started to occur to me that maybe we are becoming a bit of a self-perpetuating industry. Are we creating more problems than we are solving? Are we solving problems that are only there because of our ‘dumb’ information technology in the first place? Is there a weird conspiracy acting out some sort of big brother role looking after us all?

  • DR – If there’s a disaster just deal with it at the time – huh? Maybe you need some contingency but do we need to get hung up on it? Shape DR to fit practicalities.
  • IT Security – boring!! I know we need it but has it gone too far?
  • Clustering – why bother? Doesn’t that just create more things to manage to get to the same outcome?
  • Operating System emulators – why do we have multiple operating systems anyway?

I was recently doing some work at a customer of ours who used a competing (cheaper) database technology to Teradata to implement a data mart/BI solution they used four database servers and two file/application servers to store different information for different parts of the single application. One of the servers stored the raw data for odd …



I have been knocking around the IT industry in Australia for a while now and it started to occur to me that maybe we are becoming a bit of a self-perpetuating industry. Are we creating more problems than we are solving? Are we solving problems that are only there because of our ‘dumb’ information technology in the first place? Is there a weird conspiracy acting out some sort of big brother role looking after us all?

  • DR – If there’s a disaster just deal with it at the time – huh? Maybe you need some contingency but do we need to get hung up on it? Shape DR to fit practicalities.
  • IT Security – boring!! I know we need it but has it gone too far?
  • Clustering – why bother? Doesn’t that just create more things to manage to get to the same outcome?
  • Operating System emulators – why do we have multiple operating systems anyway?

I was recently doing some work at a customer of ours who used a competing (cheaper) database technology to Teradata to implement a data mart/BI solution they used four database servers and two file/application servers to store different information for different parts of the single application. One of the servers stored the raw data for odd calendar days and one of the servers stored it for even calendar days – how convoluted!!

More Read

How Hadoop Revolutionised IT
Big Data Analytics, Business Intelligence and the Mind of Sherlock Holmes
Are Data Scientists the Next Masters of the Universe?
Reinventing the BI Solution You Already Have – A Series of Unfortunate Data Warehousing/Business Intelligence Events #1
Program-Ace offers fully-functional custom Virtual 3D City…

If you take a look at the wider community, technology is taking up our mind-space and time where maybe we could avoid it:

  • Laptop raisers – why don’t laptops have raisers in them? Why do I have to carry a separate one around?
  • Annoying SMS security messages from your Internet Banking System? Wasn’t Internet Banking meant to make banking more convenient?
  • Windows 7 – enough said.
  • Chafing powder – lose the undies or bra – there’s a better solution. Only in New Zealand would you see an ad for this stuff.
  • Thousands of different electronic plugs and cables – why can’t we have one type of cable and one type of plug? USB is faster than FireWire – woooooohhh!

What am I trying to get at? Just a bit of advice: think twice about technology decisions. Is the solution adding value or is it solving a short-term problem for long-term pain? Is it just a toy that will create a legacy you can’t get rid of? Make the decision wisely and analytically.

In the Data Warehouse solution space, think about self-management, seamless integration and simplicity of architecture. Think carefully about the future because Data Warehouses grow and change more rapidly than any other IT application – if they don’t then there might be something wrong. Be careful to create a simple asset that can grow and roll with the punches – many will touch it and value it if you set it up right. Try not to create a monster if you can avoid it.

Try and think of a few examples of technology gone wrong. You’ll probably find, like me, that it’s not hard to find them – what are we doing about fixing them?

Greg Taranto 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Failing to Address Data Quality and Consistency – A Series of Unfortunate Data Warehousing/Business Intelligence Events

5 Min Read

Why In-Memory Analytics is Like Digital Photography: An Industry Transformation

11 Min Read

“The Open Cloud Consortium (OCC): supports the development of standards for cloud computing and…”

1 Min Read

SAP and The Hoover Dam

10 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
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.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?