Tales of Two Footprints

first_imgFootprints in the sands of time have been found at two different locations.  What tales do they tell?    One is a footprint of a Roman soldier.  EurekAlert described how the sandal print was uncovered at Hippos, or Susita, on a hill east of the Sea of Galilee.  It hints that soldiers participated in building the walls of the city.  The Israel newspaper Haaretz contained some more details about the find, and Todd Bolen commented on its limited tie-in to Biblical history on his Bible Places Blog.    Another print is claimed to be far older.  The BBC News reported what may be the “oldest human footprint ever found.”  The article did not describe the print, but called it “human” instead of ape-like.  The problem is that it is claimed to be two million years old, or more – as much as 3 million, maybe even older than Lucy.  The secretary general of the Egyptian Supreme Council of Antiquities, Zahi Hawass, is calling it possibly “the most important discovery in Egypt.”  Others are not so sure what to think of it.You, too, could leave tracks that will allow future scientists to speculate.  For fun, leave a note with your next footprint saying, “Today’s date is August 28, 1,598,251 BC.”(Visited 26 times, 1 visits today)FacebookTwitterPinterestSave分享0last_img read more

Build Desktop Apps with Node.js Using WebApp

first_imgNode.js contributor Tim Caswell pushed an initial release of WebAppTopcube, a framework for building desktop GUI apps with Node.js, to GitHub. The stated goal is to “Give node developers a way to have a desktop GUI to their node servers using HTML5 + CSS3 as the GUI platform.”It’s still very early in the project’s life – Caswell notes that he’s not even sure he will continue developing it. WebApp is currently built on WebKitGTK+.Caswell also has a GitHub repository for a project called node-gir, which he describes as:Node-gir is node bindings to the girepository library making it possible to make automatic and dynamic calls to any library that has GI annotations installed.This will make it possible to script a gnome desktop system entirely from node much in the way it’s done today with Seed, GJS or pygtk.This would require you to know some C to build applications, though. WebApp would let you build apps in Node.js using only HTML, CSS and JavaScript.Caswell works for HP on WebOS, and also runs HowtoNode. Tags:#hack#Tools Growing Phone Scams: 5 Tips To Avoid Related Posts klint finleycenter_img How to Write a Welcome Email to New Employees? 7 Types of Video that will Make a Massive Impac… Why You Love Online Quizzeslast_img read more

Big Data Boosts Storage Needs – And Opportunities

first_imgMassive Non-Desk Workforce is an Opportunity fo… Lead image courtesy of Shutterstock. Tags:#HP#Storage Evolution 3 Areas of Your Business that Need Tech Now Cognitive Automation is the Immediate Future of… IT + Project Management: A Love Affair michael singer Storage has always been important to the enterprise – but the rise of big data applications puts unprecedented pressure on storage strategies and technologies. It’s also delivering unprecedented benefits to the companies that figure out how to do it right.So how big is big data? Approximately 2.5 quintillion bytes of data being created every day – 90% of it unstructured, according to IBM’s estimates. Given that data can be in the form of customer sales interactions, corporate logistics information, or communications with partners and suppliers, companies are faced with tough choices. Data centers full of standard 2TB hard drives were not designed to handle big data.What is needed is a combination of robust storage hardware and software that allow for quick access to relevant information.Some Need Storage More Than OthersWhile big data and the information storage needed for analyzing and containing giant data sets are common amongst mid- to large-scale enterprises, some need big data storage solutions more than others. Earth scientists, engineering modeling, media and entertainment, and rapidly growing online services all contribute to the massive amounts of data being generated. The U.S. Library of Congress, for example, had 235TB of storage in April 2011. For this information to be analyzed, it must be stored properly for instant access.“Whether it is storage systems architectures or storage devices enabling big data applications, the growth of content is increasing the amount of large data sets that enterprises must work with,” wrote Tom Coughlin, president of Coughlin Associates, a storage analyst and consultancy, in a recent blog post. “These big data applications require managing, protecting and analyzing large and complex data content.”Analysts with McKinsey and Co. estimate nearly all sectors in the U.S. economy had an average of at least 200TB of stored data per company with more than 1,000 employees. That’s twice the size of U.S. retailer Wal-Mart’s data warehouse in 1999. Many sectors had more than a petabyte in mean stored data per company. European companies have also amassed a massive storage capacity (almost 11 exabytes). That’s 70% of the computer storage space created in the U.S. (more than 16 exabytes) in 2010.But storing this information for data analysis can prove pricey, prompting enterprises to look for innovative ways to consolidate data sets and reconfigure connections between big data applications.Overcoming Cost ConstraintsWhile data warehouses cost tens or hundreds of millions of dollars to start with, the cost of storage can increase astronomically from there whenused for big data projects.The average cost of a supported Hadoop distribution costs about $4,000 per node annually. A Hadoop cluster requires between 125 and 250 nodes and costs about $1 million, according to John Bantleman, CEO of big-data database developer RainStor. And companies like Yahoo have 200PB data sets spread across 50,000 network nodes!“We know one thing is proven: The benefits of leveraging Big Data will outweigh IT investment,” Bantleman wrote in a blog. “Cost by how much is the question.”Bantleman suggests there are two key areas that will continue decreasing the cost of big data storage:Re-using existing SQL query language and existing business intelligence tools against data within Hadoop.Compressing data at its most basic level, which not only reduces storage requirements, but drives down the number of nodes and simplify the infrastructureAnother factor affecting cost and complexity centers on where these storage arrays are physically located. New technologies are bringing some storage and storage functionality back much closer to the server and moving some further away in cloud storage. Increasingly, storage functions will be distributed inside and outside of the data center, in internal and external clouds.More importantly, storage will be a key enabler of new business process and business intelligence applications that will be able to digest and present orders of magnitude more data than current applications, says Wikibon.com CTO David Floyer.Storage-as-a-Service Meets Big-Data-as-a-ServiceThe economics of data movement are tipping the scales towards distributed compute services. Processing the data where it is sitting will be the model for the next generation of platforms. The infrastructure for this is falling into place.As big data transforms from traditional closed data collection and analysis, companies are increasingly considering the benefits of cloud-based services. Online applications and services now create new sources for expanding data that create new challenges for fast access and fast use of information. Big data therefore results in big storage and big business opportunities.While storage housed on-premise provides a controlled advantage for some storage systems dedicated to big data analytics, the more logical extension would be the expansion of online storage services for big data analytics. The concept of Big-Data-as-a-Service (BDaaS) is expected to debut in the Asia Pacific region in 2013, according to analysts with research firm IDC.“We have seen cloud services, hosted data centers, service providers, and system integrators all expanding their XaaS offerings,” Craig Stires, research director for big data and analytics, IDC Asia/Pacific predicted in his 2013 outlook. “The implementation and execution of a provisioned BDaaS solution will leverage platform, networking, storage, and compute services. IDC expects to see a breakthrough BDaaS offering in 2013, which will leverage all of these assets, as well as solve the challenge of how customers will on-board their data.”Whether in the cloud or in the data center, companies will look for ways to effectively cut costs without having to reduce the amount of information they work with. IT departments will be faced with the challenge of how to integrate these new sources of data within existing well-structured data management systems.Organizations have invested considerable time in agreeing on what data is to be included into traditional analytical data storage, how it is to be defined, ownership, and permissions. The inclusion of new sources of data, streaming in at high speeds, with potentially large issues around data quality, will be a massive challenge. Finding the most efficent way to store this data will competitive advantages to organizations that do it right. Related Posts last_img read more

It’s not hard to make IoT hardware easy

first_imgFollow the Puck Internet of Things Makes it Easier to Steal You… Marc Naddell is VP of Ecosystems at MediaTek, one of the leading chipset manufacturers behind the IoT ecosystem. He came to the ReadWrite office to sit with Christopher Caen and talk about how one of the leading chipset providers in the industry managed to get ahead of the hardware curve in developing for IoT.“We looked at the potential for IoT and realized it’s either going to be huge, or it’s going to be really huge,” said Naddell.  The MediaTek team, based in San Jose, also realized they were uniquely positioned to lead this new market as the major chipset provider for consumer electronics and fabless semiconductors. Last year, MediaTek shipped more than 1.5 billion chipsets overall for various devices, including smartphones and tablets. When they evaluated the opportunities for companies to drive new products and revenue within IoT, they saw the alignment with MediaTek’s capabilities and began to develop new chipsets.To start, they launched MediaTek Labs and their first MediaTek LinkIt™ development platform (LinkIt ONE) in September 2014 and worked closely with IoT developers to understand the next wave of products. Leveraging this knowledge, they were able to design the next wave of developer offerings and released Linkit Connect 7681, adding to its new portfolio of Hardware Development Kits for IoT developers. It satisfied developer demand for simple connectivity to create IoT products like smart door locks, and light bulbs. For more advanced smart home and office solutions, MediaTek followed with a more feature-rich development platform, the LinkIt Smart 7688.In Q2 this year, they announced the new MediaTek LinkIt™ Development Platform for RTOS. This platform is the first from MediaTek delivering a common toolset and application programming interface (API) for multiple chipsets, including MT7687 and MT2523. It offers developers the ability to create a range of IoT devices using one common SDK with support for professional-grade IDEs (Keil µVision and IAR Embedded Workbench) as well as use of command-line tools. New hardware kit rolled out this summerThe first hardware development kit (HDK) for the new platform was made available this summer, the LinkIt 7687 HDK, developed by Silicon Application Corp. (SAC). The HDK is based on the MediaTek MT7687F Wi-Fi system on a chip (SOC), and supports developers looking to create advanced connected appliances, home and office automation devices, smart gadgets and other IoT innovations with secure Wi-Fi. The second development kit for the platform, LinkIt 2523 HDK by SAC, is based on the MT2523G chip which enables you to create Bluetooth-enabled wearables with small footprint, fast and accurate positioning at low power consumption, and high-quality audio playback.The initiative to work closely IoT developers has proved successful with a number of developers using MediaTek solutions to move from prototypes to successful commercial products.  Now, many enterprises are replicating the MediaTek method of running a similar “labs” program to better learn from developers. But as MediaTek managed to get ahead of the curve, they appear to have the advantage when it comes to connecting their customers with supply chain partners to manufacture and drive success for their IoT devices.This article was produced in partnership with MediaTek. Why IoT Apps are Eating Device Interfaces ReadWrite Sponsorscenter_img Tags:#Internet of Things#IoT#MediaTek Related Posts Small Business Cybersecurity Threats and How to…last_img read more