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Month: October 2016

Applying Big Data Analytics to Clickstream Data

  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?  […]







Looking Back at Ten Years of Growth

  At a time when Talend is celebrating its ten years of existence and the success of its IPO, I think it’s interesting to revisit the rich history of the company and pay tribute to those who have contributed to making it a global leader in cloud and big data software. Even if this argument […]







Hand Coding vs. Tools: Our Take on Gartner’s Report

  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 […]







6 Steps that will Pave the way for your Hadoop Journey with Data Governance and Metadata Management

  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 […]







Talend “Job Design Patterns” & Best Practices – Part 3

  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. If you new here and haven’t read any of my previous posts, please start by reading these first (Talend “Job Design Patterns” & Best Practices […]







Making Sense of the Data Integration Market

  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 […]