Results for Data Processing Security Storage

StreamAnalytix helped to implement a hyper-scale Stock Ticker application that demonstrates real-time processing, storage, and visualization of huge volumes of stock-tick data. Read the case study to learn more.

Near-data processing (NDP) is a simple concept: Place the processing power near the data, rather than shipping the data to the processor. It's also inevitable. Here's why it's coming to your datacenter.

Your data archive strategy needs clearly defined timelines for retention. Simply keeping everything forever unnecessarily drives up cost and the need for more storage space.

See what data storage researchers at CUNY have uncovered about the flaws in diamonds, and how it could store your data forever.

Data Storage can get pricey, but it doesn’t have to be. Today, we take a look at how to reduce your data storage costs.

HPE partnered with Computerworld to create a series of articles as a rich resource for organizations looking to consolidate and simplify their storage architecture. For this final article, we reached out to the Computerworld community to get readers’ take on the storage complexity challenge. We asked these storage pros, “How do you increase storage efficiency and reduce storage complexity in the datacenter?” Here are our 19 favorite techniques.

Storage has achieved sudden celebrity status with the rise of dynamic new technologies. The explosion of choices means that IT leaders must take a close look at the new vendor landscape.

Premise The largest and most successful Web companies in the world have proven a new model for managing and scaling a combined architecture of compute and storage. If you’ve heard it once, you’ve heard it a hundred times: “The hyperscale guys don’t use traditional disk arrays.” Giants such as Facebook Inc. and Google Inc. use a design of local distributed storage to solve massive data problems. The key differentiation of…

Azure Data Factory is a workflow service that enables data flows between storage and processing systems. Here's a closer look at the service, and its impact on big data analytics.

Bearing that in mind, in this article we’ll take a closer look at cloud services as a viable, and possibly a good, storage option for IoT data.