We’ve joined forces with Smartlogic to reveal smarter decisions—together.

Don’t Let Your IT Be a Race Car With a Buggy Whip

Imagine a driver heading to the finish line by encouraging his race car to get that extra bit of oomph by wielding a buggy whip — a long shaft whose snapping sound spurred horses pulling carriages in days long ago. As ridiculous as that image might seem, it’s similar to how many enterprises today are attempting to harness today’s big data using outdated tools.

These companies understand that their massive collections of structured and unstructured data can be turned into new products and services that can differentiate them—that’s the finish line. However, to achieve this, many are using relational databases—the buggy whip.

Relational database management systems (RDBMS), which model data in tidy modular relationships, have been wheezing under the strain of growing variations of data available for analysis. Yet this technology isn’t just struggling with new forms of data, like social media analytics. Traditional RDBMS are also overwhelmed by structured data—much of which doesn’t perform optimally when stored in different applications.

Enterprise NoSQL provides the necessary horsepower to accelerate development.

Faced with an explosion of data, IT departments have tried quick fixes, like Extract, Transform, Load (ETL), a process which pulls data from various sources, transforms it into a new structure and loads it into a data warehouse.

The problem with this approach is that it only works if you know exactly how the data will be used and what questions will be asked of the data. If, say, a compliance rule is changed, the ETL layer has to be rewritten, a timely and costly process at odds with the very objective of using big data to find new opportunities quickly.

Companies looking to ditch the proverbial buggy whip are moving to Enterprise NoSQL databases, schema-agnostic technology built for structured and unstructured data. The technology is designed for the modern demands of big data; it can scale massively, uses commodity software and provides a faster time to benefit.

A recent survey found NoSQL has 20 percent adoption today and will double within two years. As the Internet of Things promises another huge influx of even more kinds of data, companies know they will be pressed even more to handle information nimbly and will move away from outdated approaches to data. Because a racing car will only go fast as you need it to by using the right fuel.

As Senior Director, Solutions Marketing at MarkLogic, Alicia is responsible for market messaging and content development for solutions across MarkLogic's verticals (Public Sector, Healthcare, Media, Financial Services, Retail, Energy, Insurance, etc.). Prior to joining MarkLogic, she held a variety of marketing and product management roles at software companies in the public sector, security, and healthcare markets.

Start a discussion

Connect with the community




Most Recent

View All

Facts and What They Mean

In the digital era, data is cheap, interpretations are expensive. An agile semantic data platform combines facts and what they mean to create reusable organizational knowledge.
Read Article

Truth in ESG Labels

Managing a portfolio of investments for your client has never been simple - and doing so through an ESG lens raises the complexity to an almost mind-boggling level. Learn the signs your team has hit the wall with current tools - and how a semantic knowledge graph can help.
Read Article

4 Signs You’ve Got a Transaction Reconciliation Challenge

Many firms manage transaction reconciliation using smart people armed with spreadsheets - but that doesn't scale well. Learn what to look for, to know if you're creating new forms of risk for your firm.
Read Article
This website uses cookies.

By continuing to use this website you are giving consent to cookies being used in accordance with the MarkLogic Privacy Statement.