Blogs

NGD’s official blog that discusses our Product Design, Hardware architecture and Common Problems on the data industry.

Nine Tech Trends and the 5G Debate

Tech trends of 2019 all point to data management and digital transformation.

Eli Tiomkin

Tuesday, June 4 2019

Even Mosquitoes Sort First

Do you tend to get mosquito bites all over you or does the person next to you, and you are the lucky one to avoid them? Did you know that it is not random that some people get bit and others do not? Mosquitoes are actually fairly picky! Mosquitoes don’t taste each person and then settle on a favorite.

Scott Shadley

Thursday, May 30 2019

Real-Time Data Analytics Saves Lives

Computational Storage is a means to manage data without moving all data at once, but instead sort and focus on the relevant data via in-situ processing. The amount of data moved to memory is a manageable sub-set of the entire dataset which increases processing speed

Scott Shadley

Tuesday, May 28 2019

The Evolution of Data and Technology, OCTANe TIF Part 2

NGD Systems will be attending the OCTANe Technology Innovation Forum (TIF) on May 13 and 14. Two things jump out of their stated objective- to focus on the evolution of data and technology as

Scott Shadley

Thursday, May 2 2019

Innovation, Part 1

OCTANe connects people, resources and capital in the Southern California technology ecosystem, with the goal of creating 55,000 high paying technology jobs in the region by 2030. NGD Systems will be attending the OCTANe

Scott Shadley

Tuesday, April 30 2019

Edge Computing’s Need for Computational Storage, Part 2

Our last blog discussed why computational storage was a good fit for edge computing from a power, cooling, and space perspective. If putting the right amount of compute power and storage into a small space

Scott Shadley

Thursday, April 25 2019

Edge Computing’s Need for Computational Storage

Before we explore how edge computing can benefit from computational storage, it is worth defining what edge computing is. Edge computing is an approach that places computational resources close to where data is generated. Edge

Scott Shadley

Tuesday, April 23 2019

Big Data: Collect it All, Sort it Later?

Technology industry analyst Charles Araujo best summarizes the early approach to big data as “Collect it all, sort it out later”. The focus was (and has continued to be for many companies) a competition

Scott Shadley

Thursday, April 18 2019

The Progress of AI and Big Data in Business

The AI & Big Data Expo in London (April 25-26, 2019) showcases next-gen technologies and strategies for practical AI and Big Data business applications. Dr. Marc Teerlink, Global Vice President of Intelligent Enterprise Solutions and

Scott Shadley

Tuesday, April 16 2019

Big Data, Machine Learning, and Newport Computational Storage

Big data references the amount, type, and speed of data analytics for purposes such as ecommerce metrics, business intelligence, research trends to detect patterns. The challenge is data storage and the best approach to

Scott Shadley

Thursday, April 11 2019

NAB Show 2019, Computational Storage and Video Analytics

The NAB Show 2019 at the Las Vegas Convention Center (April 6-11) boasts 100,000 attendees from 160 countries. This show attracts a diverse community of industry professionals ranging from broadcasting gurus to film, gaming, mixed

Scott Shadley

Tuesday, April 9 2019

How Computational Storage Can Eliminate Latency in Content Delivery Networks

Our last blog explored the challenges that content delivery networks (CDNs) encounter with content encryption, and how these challenges impact the performance and capacity of CDN content servers. In this blog, we will examine

Scott Shadley

Thursday, April 4 2019

The Cost of Latency for Content Delivery Networks

Our last blog talked about content delivery networks (CDNs), and the challenges of applying unique encryption keys to thousands (or more) pieces of content simultaneously. In this blog, we will dive a little deeper into

Scott Shadley

Tuesday, April 2 2019