Topic "Big Data"
There is a lot of excitement in the big data community around the potential impact of the Internet of Things (IoT) so I was looking forward to attending the IoT Summit last week in San Francisco. I’d like to share with you some of the things I observed. There were several insightful sessions I attended... more
You’ve successfully proven the value of your big data proof of concept. Now you need to operationalize your experiment into a full-fledged production platform. One of the biggest challenges in transitioning the project from a lab to factory environment is how to do it well, and how to do it in a repeatable way (because... more
I learned at an early age when fishing with my buddies that it doesn’t matter how good of a fisherman you are—you’re not going to catch anything if you’re not where the fish are. This same bit of advice extends to data lakes. Not even the best data scientists in the world would find insights... more
If there’s one thing early big data projects have proven, it’s that you need a carefully planned, phased approach to prove the value of big data to the enterprise. That means starting with a well-planned proof of concept (POC) that gains buy-in and confidence from your key executives. With this in mind, we’ve created a... more
There is a lot of media attention as relates to the Internet of Things (IoT) in the world of Big Data with the promise to improve service, reduce fraud, and deliver innovative products. But none of this happens overnight. Most Big Data initiatives that strive to take advantage of IoT are typically implemented using a... more
Value and maturity have now supplanted the ‘shiny new object’ fascination around big data. That’s according to a roundup of 2016 big data predictions from ZDNet.  And that’s heartening to folks like me who’ve been working with customers that are seeing some great successes with their big data projects. But what we’ve also learned... more
Big data analytics can help increase visibility and provide deeper insights into the supply chain. Leveraging big data, supply chain organizations can improve the way they respond to volatile demand or supply chain risk--and reduce concerns related to the issues.
At first, a lot of people were writing about the fact that big data is inevitable. Then, even more people wrote about the big promise that big data holds for the business. And now, a lot more is being written about the big failures of big data. However, the topic that is the least discussed... more
Recently, I had the fortune of presenting a deep dive webinar on Informatica Big Data Management and we had nearly 1000 attendees! It was awesome to see such huge interest in Big Data Management. However, I wasn’t able to answer all the questions in the time we had. So, I’ve gone thru the list of... more
In the big data world of Hadoop and NoSQL the spotlight has shifted to big data processing engines. Today, many different big data engines are available making it difficult for organizations to determine the right processing engine for their big data integration needs. Spark is a new and exciting technology that’s showing a lot of... more