8 Critical Elements Of A Successful Data Integration Strategy - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

IoT
IoT
Data Management // Big Data Analytics
News
10/6/2016
07:06 AM
Jessica Davis
Jessica Davis
Slideshows
Connect Directly
Twitter
RSS
E-Mail
50%
50%

8 Critical Elements Of A Successful Data Integration Strategy

Integrating data from multiple sources that employ different structures and schema has always posed complex, messy problems for IT professionals. Today's growing volume of data and data types made things even more complicated. Here are some key tips to help your organization integrate its increasing amounts of data.
Previous
1 of 9
Next

(Image: Maxiphoto/iStockphoto)

(Image: Maxiphoto/iStockphoto)

Data integration is more important than ever as organizations look to leverage the data they have to create greater value. Yet, the task of data integration has only become more complex because the amount of data collected, ingested, stored, and analyzed has increased.

Enterprises already collect a great deal of data merely by operating their enterprise applications such as enterprise resource management (ERP) and customer relationship management (CRM). Add in social media data about your brand -- Tweets, Facebook posts, Instagrams. Even more new forms of data are being introduced to the data streams in the form of new IoT data.

IT pros are tasked with creating an infrastructure that enables business users and analysts to look at all this data together and glean new insights. These users want to see what Tweets are coming from potential customers. They want to know which existing customers are complaining on Facebook.

They want a unified view of these customers and potential customers, regardless of the source of the data. They want a way to query all of this data simply, because they are not script-writing, PhD-holding data scientists.

[See 14 Data Integration Tool Vendors to Know.]

That leaves most enterprise IT organizations and their data teams with a big messy job. Integrating data from different sources contained in different types of databases, has never been easy. That's one of the reasons the data lake became such a popular concept as organizations sought to query structured data and unstructured data. The rise of Apache Spark and Apache Kafka has added more real-time streaming data into the mix.

How do IT pros integrate all this data without breaking it? We've assembled the following critical elements of a successful data integration strategy to help you on your journey. As always, if there are other tips you've found useful in your own practice and you don't see them here, please add them in the comments section.

Jessica Davis is a Senior Editor at InformationWeek. She covers enterprise IT leadership, careers, artificial intelligence, data and analytics, and enterprise software. She has spent a career covering the intersection of business and technology. Follow her on twitter: ... View Full Bio

We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site.
Previous
1 of 9
Next
Comment  | 
Print  | 
More Insights
InformationWeek Is Getting an Upgrade!

Find out more about our plans to improve the look, functionality, and performance of the InformationWeek site in the coming months.

News
How SolarWinds Changed Cybersecurity Leadership's Priorities
Jessica Davis, Senior Editor, Enterprise Apps,  5/26/2021
Commentary
How CIOs Can Advance Company Sustainability Goals
Lisa Morgan, Freelance Writer,  5/26/2021
Slideshows
IT Skills: Top 10 Programming Languages for 2021
Cynthia Harvey, Freelance Journalist, InformationWeek,  5/21/2021
White Papers
Register for InformationWeek Newsletters
Video
Current Issue
Planning Your Digital Transformation Roadmap
Download this report to learn about the latest technologies and best practices or ensuring a successful transition from outdated business transformation tactics.
Slideshows
Flash Poll