Create and deliver personalized experiences across digital properties at scale
Build engaging websites with intuitive web content management
Leverage a complete UI toolbox for web, mobile and desktop development
Build, protect and deploy apps across any platform and mobile device
Build mobile apps for iOS, Android and Windows Phone
Rapidly develop, manage and deploy business apps, delivered as SaaS in the cloud
Automate UI, load and performance testing for web, desktop and mobile
Optimize data integration with high-performance connectivity
Automate decision processes with a no-code business rules engine
Globally scale websites with innovative content management and infrastructure approaches
Content-focused web and mobile solution for empowering marketers
Faster, tailored mobile experiences for any device and data source
UX and app modernization to powerfully navigate today's digital landscape
Fuel agility with ever-ready applications, built in the cloud
When considering the big data initiatives in organizations today, I am reminded of a quote from the King of Hearts during Alice’s trial in Lewis Carroll’s Alice’s Adventures in Wonderland:
“This is very important…Unimportant, of course, I meant – important, unimportant, unimportant, important.”
Unlike the King, who was unsure of the importance of Alice’s crime and unable to make a well thought out decision, organizations need to remember that – as with any other technology – to be successful with big data you need to understand what business issues you are trying to solve. Not all data is important; understanding the context of data is key to being able to discern between what information is beneficial and what is not. But, before you can even tackle the actual data, you need to take a step back and ask yourself these questions:
Once you have a concrete understanding of your business challenges and how big data can help solve them, you can then begin to implement initiatives. This is where things can get tricky. If you haven’t developed solid data practices with “small data,” you may find big data frustrating. It’s important to remember that big data does not cleanse your data, nor is it an island — big data must integrate with the rest of your infrastructure. This fact is often overlooked as organizations jump feet first into big data.
Despite this, we shouldn’t be afraid to make the jump. Data integration technology is nothing new. In the past, we used application integration tools, data warehouses and manually created scripts to allow applications in our organization to interact with other applications. The challenge we face now is integrating these systems with our big data.
That’s where DataDirect comes in. Our Data Integration Suite provides a fast, easy way for enterprise systems to consume a variety of data sources, as well as visually map data. As the tools and techniques used for big data mature, we’re continually finding new ways to make advances in the field. To make sure you’re up to date on the latest from DataDirect, be sure to follow us @DataDirect_News!
Tony Fisher is the Technology Officer of Progress Software responsible for the company’s data connectivity and data integration product portfolio. Prior to his role at Progress, Fisher was the president and CEO of DataFlux Corporation. Fisher guided DataFlux through tremendous growth as it became a market-leading provider of data quality and data integration solutions. He is also a noted author and a sought after industry speaker on emerging trends in data quality, data integration, master data management and how better management of data leads to business optimization. Fisher holds a Bachelor of Science degree in computer science and mathematics from Duke University.
Copyright © 2017, Progress Software Corporation and/or its subsidiaries or affiliates.
All Rights Reserved.
Progress, Telerik, and certain product names used herein are trademarks or registered trademarks of Progress Software Corporation and/or one of its subsidiaries or affiliates in the U.S. and/or other countries. See Trademarks or appropriate markings.