By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics in dropshipping
    Predictive Analytics Helps New Dropshipping Businesses Thrive
    12 Min Read
    data-driven approach in healthcare
    The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
    6 Min Read
    analytics for tax compliance
    Analytics Changes the Calculus of Business Tax Compliance
    8 Min Read
    big data analytics in gaming
    The Role of Big Data Analytics in Gaming
    10 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    Promising Benefits of Predictive Analytics in Asset Management
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: IBM DB2: Moving into the Era of Big Data
Share
Notification Show More
Latest News
ai software development
Key Strategies to Develop AI Software Cost-Effectively
Artificial Intelligence
ai in omnichannel marketing
AI is Driving Huge Changes in Omnichannel Marketing
Artificial Intelligence
ai for small business tax planning
Maximize Tax Deductions as a Business Owner with AI
Artificial Intelligence
ai in marketing with 3D rendering
Marketers Use AI to Take Advantage of 3D Rendering
Artificial Intelligence
How Big Data Is Transforming the Maritime Industry
How Big Data Is Transforming the Maritime Industry
Big Data
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Exclusive > IBM DB2: Moving into the Era of Big Data
ExclusiveUnstructured Data

IBM DB2: Moving into the Era of Big Data

Editor SDC
Last updated: 2012/04/23 at 1:54 PM
Editor SDC
6 Min Read
SHARE

Back in the 1970s, a team of IBM researchers sought to create a new architecture for storing, managing and interacting with digital data to free application developers from the burden of having to know the details of how data was managed.

The result: the invention of the relational database and later DB2, the company’s first commercial relational database system for large enterprises, which was announced in June 1983. 

Back in the 1970s, a team of IBM researchers sought to create a new architecture for storing, managing and interacting with digital data to free application developers from the burden of having to know the details of how data was managed.

More Read

How Big Data Is Transforming the Maritime Industry

How Big Data Is Transforming the Maritime Industry

Utilizing Data to Discover Shortcomings Within Your Business Model
Small Businesses Use Big Data to Offset Risk During Economic Uncertainty
The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
How Big Data Is Transforming the Renewable Energy Sector

The result: the invention of the relational database and later DB2, the company’s first commercial relational database system for large enterprises, which was announced in June 1983. 

IBM not only developed the math and science behind the concept of the relational database, they also made a breakthrough that spawned an entirely new and influential category of software.

Prior to the introduction of DB2, databases stored information in a hierarchical fashion. Information was stored in what’s called a “parent/child” structure. A relational database offers users more flexibility because it understands relations, how information in different tables is related, in a more flexible manner than a parent/child hierarchy. This enables a much more powerful ability to analyze the data.

The relational database concept became the overwhelming choice for the storage of information which, to this day, supports the world economy, including financial records, manufacturing and logistical information, personnel data and much more.

Almost thirty years later, DB2 has transformed into a diverse, powerful workhorse relied upon by global companies of all sizes in every industry. More than 400,000 IBM clients use it today. For instance, DB2 is used by the top 50 banks worldwide, nine of the 10 top global insurance companies, 24 of the 25 largest retailers globally and over 100 of the largest governments and agencies. 

In fact, DB2 enables businesses to better understand the relationships held in the data and provides organizations with the opportunity to build up a better understanding of their business. By using a relational database, for example, a bank can spot customer behaviors and trends across their product lines more effectively.

For that reason, DB2 foreshadowed the concept of business intelligence and analytics that plays such a major part in applications and doing business today in a “smarter” fashion. “Predictive analytics” enables businesses to analyze their sales patterns and target customers better.

Originally designed to operate on mainframes, the movement to bring “DB2 to the desktop” in the 1990s enabled more users to take advantage of relational databases to run their businesses. DB2 offers high availability, disaster recovery and scalability to companies, no matter how large or small.

DB2 has evolved over the last three decades to help companies adapt their database strategy to meet the demands of evolving, industry-specific business challenges. In 2007, the ability to natively handle XML data was added.

XML can significantly reduce the cost of developing and maintaining applications with continuously evolving schemas – such as on-line income tax forms that vary from year-to-year. With the breakthrough pureXML support only provided by DB2, the benefits of XML extend to the database and include the ability to easily evolve an XML schema in minutes to match the application changes without updating table schema or the existing XML data as would be required in a relational database.

Now with the introduction of DB2 10, the product has added new features like adaptive compression, multi-temperature data management, time travel query and big data integration. These features enable enterprises, in the era of big data, to stay agile and not deal with all the data, just the most relevant information. The challenge is compounded by new high performance applications that require instant access to new types and massive amounts of data from social networks, sensors, and mobile devices, along with data growing inside data warehouses today.

Businesses with large volumes of data know how expensive storage can be. DB2 can dramatically reduce that cost with industry leading data compression technologies that compress rows, indexes, temporary tables, with compression rates that can reach over 90 percent. Moreover, because compression allows DB2 to keep more data in memory, thereby avoiding performance-robbing disk I/O, database performance can increase considerably.

For many businesses, database downtime equals both money and opportunity lost. DB2 can minimize the downtime associated with many planned activities, such as altering a table, and many unplanned events, such as a power outage, by either eliminating the downtime completely or reducing it’s duration to a few seconds.

Clearly, now more than ever, business leaders want to easily see what’s going on in their businesses, and the modern relational database, which has evolved over the years, enables them to do so. DB2 provides clients a way to tame the data deluge and accelerate the consumption and analysis of business critical data.

In the era of big data, it is about platforms like DB2 that enable essential insights to understand your customer, business and market. 

TAGGED: big data, ibm
Editor SDC April 23, 2012
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai software development
Key Strategies to Develop AI Software Cost-Effectively
Artificial Intelligence
ai in omnichannel marketing
AI is Driving Huge Changes in Omnichannel Marketing
Artificial Intelligence
ai for small business tax planning
Maximize Tax Deductions as a Business Owner with AI
Artificial Intelligence
ai in marketing with 3D rendering
Marketers Use AI to Take Advantage of 3D Rendering
Artificial Intelligence

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

How Big Data Is Transforming the Maritime Industry
Big Data

How Big Data Is Transforming the Maritime Industry

8 Min Read
utlizing big data for business model
Big Data

Utilizing Data to Discover Shortcomings Within Your Business Model

6 Min Read
big data use in small businesses
Big Data

Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

7 Min Read
data-driven approach in healthcare
Analytics

The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas

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 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

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?