Systems | Development | Analytics | API | Testing

BI

Revealing the Intelligence in your Data with Talend Winter'20 (part 1)

One of my favorite Talend customer success stories is the International Consortium of Investigative Journalists (ICIJ). I love this story not only because they transformed investigation journalism with data, won the Pulitzer prize for the Panama papers, and helped the public to recover billions of dollars lost to illegal tax evasion.

5 Steps to Making Better Business Decisions with Machine Learning

Most of the day to day work for knowledge workers is spent helping the business make better decisions, like choosing whether it’s worth expending the effort (or actual money) to achieve the desired business goal. The example I often use when talking about ML is churn prediction (and I’m starting to think I’m overusing it now). It costs money to retain a customer who is thinking of moving, but this is less than the cost of getting new customers.

"If You Fail to Plan, You Are Planning to Fail" - Benjamin Franklin

In February 2017, I was out on a routine training ride when I made a turn on loose gravel. Next thing I knew, I was laying on the pavement. Just like that, I broke my hip and collar bone, and I knew I woudn’t be able to race in the Ironman Lake Placid that year. So, I adjusted from racing to recovery. And, I’m happy to report, I returned to racing in 2019, completing the Ironman Lake Placid that year.

Talend on Talend: How to use machine learning for your marketing database segmentation

In today’s business world, marketing segmentation is a must have for every organisation. It helps you process and aim different targets in a market into multiple customer or prospect segments to enhance your marketing actions. Through this discipline, you can hold a crucial competitive advantage over your competitors because you can adapt your offer and your communication according to the identified groups of personas you want to address.

Why every consultancy is now a product business

One of the really interesting trends that I’m seeing in the marketplace relates to consultancies. Historically, the primary business model for consultancies was to sell their expertise and services. Every customer would get a unique service offering that was defined specifically for them. Now analytical consultancies are shifting away from purely being body shops and starting to think about how to productize their business by offering pre-packaged solutions and managed services to their customers.

4 Big Data Riddles: The Straggler, the Slacker, the Fatso, and the Heckler

This article discusses four bottlenecks in BigData applications and introduces a number of tools, some of which are new, for identifying and removing them. These bottlenecks could occur in any framework but a particular emphasis will be given to Apache Spark and PySpark.

Keep On Running With Kubernetes

When Jackie Edwards wrote “Keep On Running” back in 1965, he certainly wasn't thinking about the future of computing. But, it's the Spencer Davis Group grooves that is the soundtrack playing in my head when I think about Kubernetes and the business value it brings. Enabling your environment to “Keep On Running” is just one of many of Kubernetes’ value adds.