ENTRIES TAGGED "enterprise"
Data science is hard but it isn’t dark magic.
The question “do you need a data scientist?” came up a lot when I was a management consultant for a global firm that successfully incubated data science within a few enterprise organizations. It’s hard. The discussion is hard and the culture clash for data scientists is hard. Many approach data science as some dark magic from Hogwarts. It’s not. Investigating a hypothesis takes time. Spontaneously generating data and building a model against that data doesn’t work. Understanding who you need and how they will fit into your organization is challenging. Where do we put them? Who do they interact with? What is the hand-off? Who do we structure around the project? How do you execute a project? Even better, how do we make MONEY? Yet, before we go there, perhaps we should step back a bit and think of this as a strategic question. Because maybe you do need a data scientist and maybe you don’t.
Specific ways big data will inundate vendors and customers.
My new book, Disruptive Possibilities: How Big Data Changes Everything, is derived directly from my experience as a performance and platform architect in the old enterprise world and the new, Internet-scale world.
I pre-date the Hadoop crew at Yahoo!, but I intimately understood the grid engineering that made Hadoop possible. For years, the working title of this book was The Art and Craft of Platform Engineering, and when I started working on Hadoop after a stint in the Red Hat kernel group, many of the ideas that were jammed into my head, going back to my experience with early supercomputers, all seem to make perfect sense for Hadoop. This is why I frequently refer to big data as “commercial supercomputing.”
In Disruptive Possibilities, I discuss the implications of the big data ecosystem over the next few years. These implications will inundate vendors and customers in a number of ways, including: Read more…
It's not about IT buying, but about making data work for you. Learn more in the Big Data in Enterprise IT program at Strata California.
In a world where technology and business are evermore intertwined, IT leaders aspire to key roles in their organizations. Sadly, industry conferences can lag behind, assuming IT is all about making the right buying decisions.
Not so at Strata.
Our approach is to take a view of data for business that centers around the problems you need to solve. The excitement around big data isn’t really about large volumes of data, it’s about smart use of data. It’s about using data to make your products better, help you be significantly more efficient, and create new products and businesses.
Getting the most from big data and data science is a lot more than a software choice. The business aims come first, and a good understanding of the problems you want to solve. Then you need to understand the capabilities of the technology and where data science can be best applied. Finally, you need to know how to run successful data projects, and how to hire and manage data teams.
Working with analytics and BI expert Mark Madsen, I’ve compiled a day-long program at Strata called Big Data in Enterprise IT that will take you through big data strategy, the issues of managing data, and how data science can be used effectively in your organization. Read more…
Are solution vendors waiting for broad Hadoop adoption before jumping in?
So, here we are with all of this disruptive big data technology, but we seem to have lost the institutional wherewithal to do anything with it in a lot of large companies, at least until package solutions come along.
A glimpse into enterprise use of big data.
Feedback from a recent Strata Online Conference suggests there's a large demand for clear information on what big data is and how it will change business.
Smart companies use data to ask the right questions and take swift action.
Alistair Croll looks at how data is shaping consumer expectations and how those expectations, in turn, are shaping businesses. He also examines where business intelligence stops and big data starts.