If you are a retailer, how well do you know your products and how well do you know your customers? You may know which products are most popular based on their purchase history because you keep records of those transactions. But do you know which of your products are the most and least viewed? Do you know what is driving traffic to certain products and what type of customers are most interested in those products? Are you able to provide intelligent and meaningful product recommendations to your customers and increase potential sales revenues? Gaining insig
As the CMO of a data integration software company, I’ve invested a lot of time convincing IT managers that they should switch from hand coding to a tool-based approach. Hence the reason I was excited to see and impressed by the practical advice outlined in Gartner’s recently published report, “Does Custom-Coded Data Integration Stack Up to Tools?”
In the last installment of this series, we looked at six keys to turning your Big Data initiative into sustainable success with Data Governance. These six steps were identified by TDWI in its recent report titled, “Governing Big Data and Hadoop”. As an independent report, it highlights the challenges and best practices, but it doesn’t explain Talend’s specific ability to address those challenges.
This is the first installment to a two-part blog series focused on Governing Big Data and Hadoop.
So, you’re ready to embark on your data-driven journey, huh? The business case and project blueprint are well defined and you’ve already secured executive sponsorship for your digital transformation. You’re ready to run a modern data platform based on Hadoop and your team is set-up on the starting blocks to deliver the promises of Big Data to the wider organization.
It appears that my previous blogs on this topic have been very well received. Let me express my continued delight and thanks to you, my (dedicated or avid) readers.
The data integration market can sometimes be hard to get your head around. There are many players in the space, each with their approach to the market. The 42 page Gartner Magic Quadrant for Data Integration provides a thorough analysis of the market, but it can be hard to get the big picture of the landscape from reports like this. A careful review, however, yields some interesting patterns. As I interpret it, there are really three major categories of vendors: Cross-the-Enterprise,
We all know that mapping complex files can be cumbersome, and large files often cannot be processed in a day. Want to reduce complex data integration from days, or even weeks, to minutes? Talend Data Mapper is your answer.
In the video below, we show you how to read EDI (Electronic Data Interchange) data coming from health claims and quickly map it to a simple structure.
Did you know a comedy released in the year 2000, called "The Specials" had the best rating in the State of California according to film critics? That's what Talend has shown us once we run our final job in the example below. Now, we will be taking you through some of Talend's advanced studio features so you too can start working with your data.
Today we’re excited to announce the launch of our new Talend Big Data Sandbox, based on Docker. For those not familiar with a Sandbox, it’s a FREE, pre-configured, easy-to-use, virtual environment that allows you to experiment and test real-world big data scenarios.
In the coming months and over the next year, several important votes and elections will take place around the world: the presidential elections in the United States this November; the French presidential election in April/May 2017, the French legislative election next June; the German federal election next August, etc.