S o here’s some irony for you. We’re getting ready to make a major announcement next week about some new products that will help our customers manage massive unstructured data growth. We were at a studio last week filming our keynote, and it dawned on me that it was a good example of exactly the type of problem we’re helping customers solve. By the way, if you want to watch the keynote this Wednesday, October 12 at 8:30am PT, click here.
We had to do many, many takes to shoot a 20-minute video. We ended up with almost an entire day’s worth of HD video content just to make a 20-minute video. And I know that between the studio and our marketing team, we want to save the content so that we can potentially use extra footage for different content later.
In other words, the studio is experiencing the exact type of problem that we see happening across a number of industries:
- Exponential growth of data as cameras have gone to 1K HD and now 4K HD. In other industries, this exponential growth might be driven by the Internet of Things (IoT) devices, or in other words machine- and sensor-generated data.
- A need to “capture” that data — with cameras, sensors, and many other devices.
- A need to “edit” the data in real time to create a finished product — this could be video editors, scientists, analysts, and so on.
- The need to store the content, and protect it — historically, our customers have used scale out network-attached storage (NAS) for storing this type of data. But now the data is getting too big. Scale-out NAS is too expensive and the file systems can’t keep up with the ingest requirements — and for customers that need to store the content for years, it’s way too expensive. Some customers are also looking at public cloud as an option, but in many cases it is prohibitively expensive for these types of data sets.
- Lastly, they have a need to preserve access to that content to get additional value out of it — for example, our marketing team may want to create an “outtakes” video for fun, or in other industries scientists may need to run additional algorithms against existing research data, or financial analysts may want to run additional analysis against existing financial market data, and so on.
So toward the end of the day, I asked the director if the studio was struggling with this challenge. Sure enough, they are. I told them about Quantum’s approach, and they were interested in learning more. So I got the business card of the engineer, and for sure I’m going to follow up. I bet Quantum can help them out — and they may even end up using the new products that we’re going to announce next week.
Stream our launch event keynote on Wednesday, October 12 at www.quantum.com/launchevent.