Media workflows have become extremely complex due to the diversity of data and the abundance of storage mediums, locations, and formats of today’s data pipelines. Here’s what you need to know about abstraction, a new approach to data management that’s helping media and entertainment get data bloat under control.
April 3, 2019 • 3 min read Data
Speed is only one imperative in remaining relevant in the market. Once you build an infrastructure that enables data to move faster and more seamlessly, you also unlock the keys to ensuring you remain competitive.
March 31, 2019 • 4 min read Data
Where a traditional data center may have a couple of paths to data, a data center leveraging NVMe can have many lanes of access powered by very fast flash storage that supports a wide variety of applications and needs.
March 29, 2019 • 5 min read Data
NAB 2019 is just around the corner, and as every year, I want to take a step back to look at the big changes that took place in the industry and what are the hot trends we can expect to see at this year’s show.
March 27, 2019 • 4 min read Data
In India, data has the potential to solve a variety of national challenges in areas such as cleantech, education, healthcare, transportation and renewable energy. Imagine a future of cleaner air, more accessible schools, and safer roads—all made possible by breakthrough ideas from the next generation of entrepreneurs in India’s thriving startup ecosystem. How well is […]
March 27, 2019 • 8 min read People
A quick overview on how Ultrastar® products can help reduce the costly problem of scaling Redis data sets, conduct critical Redis data management and operations, and provide some storage tidbits on Apache Hadoop®-as-a-Service when Redis is used as a frontend to Hadoop.
March 26, 2019 • 7 min read Data
As you look beyond the highlights of our business momentum and growth to understand who Western Digital is, I want to share four key aspects you may not know about us and our data center systems business.
March 25, 2019 • 7 min read Data
Today’s common machine learning architecture is not elastic and efficient at scale. It’s inevitable that we will need to find ways to scale machine learning better. With more digitization and implementation increasing across different industries, the data size and the complexity of machine learning models will increase as the algorithms evolve. Memory scaling and resiliency would require compute scaling as well to offer a more efficient and flexible fit for scale out architectures.
March 21, 2019 • 8 min read Technology
The volume of data is growing so fast that getting the most from data is a challenge. You may find that the bulk of your data lacks the metadata that enables a more flexible use of this data, or your data may sit on traditional systems that can suffer from scaling limitations. So, how do you start harnessing the power of your unstructured data? Here are four quick tips when getting started.
March 15, 2019 • 3 min read Data
Change is daunting. Organizations might realize they need an infrastructure makeover, but the process can seem overwhelming. How do you pick the “right” solution with the least disruption? Customer viewpoints offer critical insight when evaluating new data center infrastructure.
March 13, 2019 • 5 min read Data
