A good general rule for marketing is to always keep it focused on the customer—don’t talk about yourself. This blog breaks that rule, and you’ll find out why.
Often, when people use the term ‘archive’ it means many different, often erroneous, things: Some refer to any time that tape is used, instead of disk, to be an ‘archive’ – compared with a ‘backup’. Some refer to ‘archiving’ as the grooming or moving of data from primary storage. Some refer to any long-term retention mechanism (greater than a year) as an archive, even if the copies of data were originally created by a backup application or just a drag-and-drop of a folder or other object
The challenge with data in life sciences today? Managing the sheer volume of it. The first genome took 15 years and 4 billion dollars to sequence. Today’s next-gen sequencers can sequence in days for less than $1,000. More genomes are being sequenced, which means more data is being analyzed—and it all has to be stored somewhere. In fact, Public Library of Science (PLOS) estimates that genomic data could soon surpass YouTube as the biggest generator of data. It’s clear that life sciences teams have their work cut out for them. However, the storage challenge goes beyond managing a flood of data. Teams of scientists often need to work on the same data at the same time, even if collaborators are in a lab half a world away. When these researchers access large genome data sets or high-res medical images, they need fast access. And research takes time—some research studies can last for decades. Data generated during the beginning of the study needs to remain accessible over the lifespan of the entire project. To scientists, it not just data. It’s their life’s work. It’s work that is building a better future.
Cybersecurity is in the news and for good reason. Many of us have experienced firsthand what cybercriminals can do with our credit card numbers and our personally identifiable information being sold on the black market. In government, though, the stakes are higher. So it shouldn’t be a surprise that cybersecurity is on GAO’s High Risk List. Vulnerabilities abound in today’s technology-dependent world, and cybercriminals excel at exploiting weakness. Fortunately there are weapons organizations can deploy to fight back, and they fall into three main categories: people, tools, and data.
I’m on my way to Washington, D.C. for the GEOINT 2015 Symposium. I’m looking forward to spending time with customers and GEOINT’ers, along with the rest of the Quantum team. If you’re at the event, drop by Quantum booth #8058 to learn about the latest techniques in geospatial data management. I’m especially excited to attend GEOINT this year because I’ve been selected to give a Lightning Talk at the GEOINT Foreword Pre-Symposium. I will have 5 short minutes to tell a technology story and keep the audience engaged. No pressure. The title of my talk is: “Connecting Dots In Today’s World—Crayons Not Included.” Why focus on “connecting dots?" Well, the goal in GEOINT today is the same as ever: to derive useful intelligence from data. And while innovation is everywhere—in small sats, in 4K video, in sensors, in mobile, and in the analytics and data viz software that enables discovery—all this innovation is creating a ton of data that needs to be managed, analyzed, and connected. So it makes sense to talk about the challenges people face connecting all of these dots. And the bigger challenge they face recognizing which patterns of connected dots are meaningful.
ACRI-ST, a space agency partner of the European Commission and the European Space Agency, provides satellite mission solutions, including simulations and environmental forecast prototyping, and operates environmental data centers that provide vital decision-making support to public agencies and local authorities. To manage and preserve the massive amount of valuable sensor data collected by Sentinel-3, ACRI-ST chose a Quantum StorNext 5 scale-out storage system. StorNext is a proven, cost-effective choice for these types of hard data management challenges that require scale, speed, and sharing.