In the last few years, we’ve seen the concept of the “Cloud Data Lake” has gained more traction in the enterprise. When done right, a data lake can provide the agility for Digital Transformation around customer experience by enabling access to historical and real-time data for analytics.
I’ve read and heard a lot about how organizations need ‘data interpreters’ lately. For me, this raises the question of what do analytics departments do today?
The Yellowfin team spent their Wednesday at the She Loves Data event in Melbourne. It was brilliant. If you’re not familiar, She Loves Data (previously called Data Girls) is a data analytics initiative, that focuses on teaching and encouraging women to learn about data, technology, and analytics. They hold regular workshops for women in 6 different APAC cities to build a community for them to come together to learn, connect with each other, and have fun.
Data is the lifeblood of AI. An AI system needs to learn from data, as well as from humans, in order to be able to fulfill its function. Unfortunately, organizations are already struggling to integrate data from multiple sources to create a single source of truth on their customers, products, or other data. AI will not solve these data issues, it will only make them more pronounced.
One of the aspects I am always fascinated about Talend is its ability to run programs according to multiple job execution methodologies. Today I wanted to write an overview of a new way of executing data integration jobs using Talend and Red Hat OpenShift Platform.
As more and more businesses turn to advanced data analytics to help them make smarter decisions, run real-time analytics, and improve business operations, an increasing number are modernizing their data warehouses to make it all possible. For many businesses, knowing how to modernize means understanding where their data warehouse sits on the spectrum between traditional and cutting edge. To help, we collaborated with TDWI to offer the data warehouse maturity assessment.
Remember that feeling right after your fantasy football draft, when you were certain that you had just drafted the championship team? Fast forward to the close of fantasy football week eleven, how is that team looking now? For me, I am battling for one of the last playoff spots in my league and I am holding my own in daily fantasy football – never quite playing the perfect combination of players.
We’re in the early stages of a dramatic transition for the analytics industry. More and more of the jobs that were previously done by analysts are being automated. Technology is changing the way organizations receive information. People are being alerted to both good and bad news as it happens and this has profound behavioral consequences for organizations.
With Thanksgiving around the corner, it's a perfect moment to take a step back and get some recipes to be data savvy within your organization. Fortunately, Talend experts have a recipe for data success that will help you to stay above the fray.
In today’s digital world, staying ahead of the curve is a constant challenge for organizations. The pace of business is exponentially higher now than it was even a decade ago. Technology is evolving, and the ability to keep current has become a critical success factor. Organizations need to embrace constant and rapid change. They need to equip all employees with information, motivation, and support to think critically and systemically, allowing them to innovate and reduce waste.
