by 
ENGLEWOOD, Colo. — Arrow Electronics Inc. has entered into a North America distribution agreement with ShiraTech, a provider of ARM-based system-on-modules (SoMs) that are complete embedded computers built on a single board.
In conjunction with ShiraTech, Arrow developed the AT-501 SoM, utilizing an Atmel SAMA5D3 ARM CortexTM-A5-based Microprocessor. This combines high performance and low power consumption, with a range of peripheral support, used in developing mobile and battery-powered systems that require minimal energy usage.
Arrow’s AT-501 helps companies shorten development cycles and focus on their own intellectual property. In addition to the processing unit, it comes with 256 MB DDR2 and flash memory, 1G Ethernet, an internal system clock, and a 200-pin SO-DIMM connector via which all the supported interfaces are available.
“Combining a system-on-module with comprehensive development tool and software support eases the design process and reduces the development costs critical for Arrow’s customer base,” said Jacko Wilbrink, senior product marketing director, Atmel Corporation.
http://investor.arrow.com/phoenix.zhtml?c=85834&p=RssLanding&cat=news&id=1856481
I wanted to share a video that I think can be helpful for your readers that deals with planning and executing a Big Data program. (http://www.youtube.com/watch?v=Ow76L0IEZNY) This video is based off of TEKsystems research and delivers the message in a cute way through multiple sci-fi references.
Lalit, big data is a new domain, where lots of analytical researches are happening. In our day to day activities, lots of datas are generating and its simple lying in our machine. When it's get filtered and analyzed, quality of datas can be derived, which can serve the purpose. Quality is an important factor; otherwise it won't serve the purpose.
I agree with you especially for public sectors – helps government well enough than before in making decisions and budgeting.
“I agree with you especially for public sectors – helps government well enough than before in making decisions and budgeting.”
Wale, you are right. Government departments are the one, has lots of customer interaction happening at various levels and capacities. If they are able to analyze this customer query and interactions, they can derive a better solution or can minimize the citizens concerns up to an extent.
Jacob, I think you are right. There has to be well-designed databases so it can capture the necessary data. And some smart people have to develop the algorthims to dig out meaningful information from there.
“I think you are right. There has to be well-designed databases so it can capture the necessary data. And some smart people have to develop the algorthims to dig out meaningful information from there.”
Alex, datas are generating every minutes and seconds, how to be used it for prediction and analysis is important than preserving it for a long time.
@TechGuy, thanks for the video. It was, as promised, cute–and informative. I don't know if i caught all eleven space and scifi references. Do you have a sense of how the specifics of the electronics supply chain (with previously siloed systems and global networks fo folks exchanging information) are particularly challenged by big data initiatives? Any best practice advice specific to that market?
@Jacob a first and substantial big challenge is kowing hwere all the data is and then getting an idea of how its stored, backed up, used, etc. I believe a lot of organizations are still in early stages on this.
“first and substantial big challenge is kowing hwere all the data is and then getting an idea of how its stored, backed up, used, etc. I believe a lot of organizations are still in early stages on this.”
Hailey, I think data administrators may be well aware of that and normally they used to keep a data map to know which data resides where. But I had seen in many companies such data resides in storage disk safely even with out refer it once.
@Jacob, in an ideal world, i think you are right. Unfortunately, many organizations live in a world where various departments load data into cloud based services without the knowledge of IT, where virtual machines are spun up in a hurry without being properly documented, and legacy systems are never really brought into the fold. I would guess that its not uncommon for organizations to be woefully unaware of data.
“Unfortunately, many organizations live in a world where various departments load data into cloud based services without the knowledge of IT, where virtual machines are spun up in a hurry without being properly documented, and legacy systems are never really brought into the fold.”
Hailey, after the implementation of cloud storage, space is not a constrain for dumping any data and anybody can use it. but as long as its not used or analyzed, its like junk data.