We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Big Data: Are You Ready for Multimedia Information Systems?
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 Quality > Big Data: Are You Ready for Multimedia Information Systems?
Big DataData QualityData VisualizationSocial Data

Big Data: Are You Ready for Multimedia Information Systems?

hkotadia1
hkotadia1
3 Min Read
Big Data: Are You Ready for Multimedia Information Systems?
Illustration generated with Qwen Image.
SHARE

If you take a look at Enterprise Information Systems that are currently in use, you will notice that they are very restrictive in nature in the sense that it is quite difficult to handle data types other than text or numbers.  Moreover, text and numbers are handled using pre-defined (text and numbers) fields only in the database.

It is extremely difficult to store/retrieve files of other data type like image or sound. This can be attributed to the fact that although we have seen remarkable changes in computing power, storage capacity and network speed/reach, the underlying database technology hasn’t changed much in the past two decades.

Current generation of Enterprise Information Systems use Relational Database Management Systems (or RDBMS for short). RDBMS is a Database Management System in which not only data is stored in tables, but relationships among the data are also stored in tables. RDBMS use Structured Query Language (or SQL) for managing data and SQL places data in well defined structures using meta data.

Given three Vs of Big Data, namely Data Volume, Data Variety and Data Velocity, traditional data storage, retrieval and analysis tools/technology like RDBMS and SQL  are no longer going to work and we are going to leap frog into a new generation of technology that will fundamentally change the way data is stored, retrieved and analyzed.

More Read

Big Data Blasphemy: Why Sample?
Big Data Blasphemy: Why Sample?
Big Data Joins The Fight Against Traumatic Brain Injuries
NCAA Bracketology and Other Sports Analytics Winners
Big Data Is Changing Every Industry, Even Yours!
Big Data Analytics: Reframing Political Campaigns

Big Data revolution has resulted in the development of a whole host of new tools and technology that can meet the challenge posed by three Vs of Big Data. For example, Not Only SQL (or NoSQL for short) doesn’t adhere to RDBMS model and is designed to capture all data without categorizing and parsing upon entry into the system. Using NoSQL and other tools such as HBase, Hive etc., it is possible to store, retrieve, and analyze very large data sets of multiple data types not just text and numbers. As a result, we are about to enter into an era of multimedia enterprise information systems not only capable of handling very large data sets in real time but also capable of handling multiple data types like sound, video etc.

Question is how many large and medium enterprises are ready for Multimedia Information (ERP or CRM) Systems? Not many in my opinion. What do you think?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance
Flat editorial illustration: The article argues that data annotation quality should be measured by inspectable gold sets, written
The Top Data Annotation Companies Are Separated by Proof of Quality, Not Headcount
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

New Generation of Technology Will Rely on Analytics, Study Shows
AnalyticsBig DataBusiness IntelligenceData ManagementData QualityITModelingPredictive AnalyticsWeb AnalyticsWorkforce Analytics

New Generation of Technology Will Rely on Analytics, Study Shows

4 Min Read
Potential Impediments to the Rise of Big Data
Big Data

Potential Impediments to the Rise of Big Data

4 Min Read
Using Big Data For Non-Profit Gains: 4 Lead Generation Strategies
Big Data

Using Big Data For Non-Profit Gains: 4 Lead Generation Strategies

4 Min Read
How Businesses Use Their Target Audience Data
Big Data

How Businesses Use Their Target Audience Data

4 Min Read

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

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?