A Latvian and english Linux tiny operating system. used by golf & dvd lovers
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There is a big shift in internet browser operating system that desktop computers missed. It is the data format on webpages. Big data is the data that is stored in certain webpage. Your data storage database is now different.
Big data is for small client machines such as smartphones. So, the client can go paperless. Data is stored on the internet at data centers. clients only download and display the data.
This change in technology of database software, changed the hardware requirement favoring tablets and smartphones.
Computer market is now totally different from the old days of desktop applications, where data is stored in database. You have to have the database to find all the data. Now you have to find the website and webpage to find the data you need.
So, you think big data is wishy washy?
When email gets grouped in a webpage to be reviewed as a project, The webpage became big data and stored differently, either by search engine, or by webpage storage. Time and date stamp became the relative priority for listing order.
Time and date stamp then has to be funneled through a single atomic clock, when your email is sent.
Big data is tablet territory. Where data creation is filling a form on the webpage apps.
The data is store on website. You have to download a webpage to get the data. This is pretty much facebook and twitter and their success.
Microsoft skydrive and office suites for mobile users is big data taking over. Cloud application and secure data storage for client embedded devices.
This is the future that keep people from storing data on their own unsecured data storage devices. Email clients are not secure enough to keep permanent records. Thunderbird going down. Outlook express is a waste of time.
Big data programming is now webpage apps. No way to go back to offline computing, even games are now group participation for more fun(some maybe only observation on group activity). Facebook is a group observation sport. Is Twitter too?
Big data is changing the way things are done, and computer technology is more communication technology. Without communications(internet information), computers do not sell.
Webpages are big data storage. Webpage contains RTOS and apps and form filling data storage.
To bring new apps and games to different browsers, you need adobe flash player to provide webGL codec to your old computers or laptops. This(adobe) replaces IBMPC bios.
WebgL on top ofthe tack of the computer software bypasses the kernels, desktop apps, and even browsers. You only need webpage and adobe flash players to run the smartphone apps and games.
Cloud computing by packet switching in webpage RTOS to do apps; data can be changed very fast; and big data storage in data centers will be using 4 bit ascii codes.
ARM cpu is hardware solution of 4 bit ascii code data compression. We have to develop software data compression from 8 bit ascii code to 4 bit ascii code. So that x86 cpus can do 4 bit ascii codes as well but data transfer twice as fast when aligned.
So; if its just data compression, any cpu can do the simplification. 8 bit ascii code converted will occupy two 4 bit ascii codes aligned in the serial 8 bit space. We may lose some overhead time to switch pages of 4 bit ascii codes.
It will be interesting when satellite transmission will be in 4 bit ascii codes?
Microsoft built quite a few data center using Juniper made switch hubs. Its ethernet at its best.
Since then, the data centers prefer to assemble data from different server in house before downloading to customers. The server is called ondemand server. It does not have to wait for http: servers directed by DNS servers.
If you use Firefox browser, your can see each webpage being built up from many server downloaded data. It takes forever to complete a webpage. Cable TV plants use ondemand servers to download movies to customers withour skipping a note..
Big data has always been online banking(cloud).
Its been moved to smartphones for online banking.
Smartphones have over 100,000 aps for desktop(games) or browser(websites).
When online banking went from webpage to phones, the video was reduced to text. Big data now has a webpage that is straight text.
But, recently, using scrolling technology on small smartphone screens, any webpage can be displayed on smartphones.
This has to be converted in the cableTV plants too. which will change big data in cableTV data centers. But this technology will extend to interactive TV and multiroom set-top boxes(data storage centers). New products for huge home data center will now be possible.
Big data has been online banking. People in the data center business had neglected the software programming difference of big data on the cloud.
Any application that involve users may have money changing hands, and big data has connection to online banking websites. Data centers with public clouds need the links in the secured manner(video encryption used by banks).
Until you understand big data and its secured public cloud code standards, you are left behind in smartphone or tablet development.
Apps and games have money changing hands are big data that desktop application did not have.
Desktop applications are not paperless, so it will be obsoleted. Big data is paperless on smartphones or tablets.
Big data DNS servers(ipv4 & ipv6) are now hidden in Microsoft operating systems' personal settings. This make iE8 or later browsers very fast to deliver webpages. Chrome and Firefox have to use personal settings DNS servers to deliver webpages too.
Paperless society just need big data display of ther documents of any transaction.
But its important to have time and date stamp on each document to distinguish the document against others of another time. The sequential documents has to be stored by time and date stamped.
So, Symm has these micro atomic clock chips in timeprovider5000 equipment to stamp time and date on each document.
Big data is changing from multi links to ondemand collating of links on each webapage. The data centers are all in need of ondemand servers which collects all the data from each link and download the whole webpage in one session. The packets from each link(website) has to be time and date stamped for verification and security purpose.
This will speed up the big data delivery of transaction paperwork of many parties in different parts of the world.
Its changing, and some of the big data equipment of data centers are proven in the cable plants, of movies downloaded from a remote location for millions of users at different locations and starting time.
Lately, Bank of America tried to add their own travel center to book flights, hotel and car rental. But alas, their software is old and obsolete that vacation package can not be booked due to booking error of hotel not hooked through airlines. Their car rental booking also failed due to lack of city tax included in the rates to be booked.
After I explained to the agent, they withdraw from their website this new travel center. Big data software can be difficult to change quickly.
Si, big data centers will add more and more functions and keep data big and secured in many servers. To prevent atm mode of packet lossiness, atomic clock has to be date stamped on each packet. Atomic clock has to have ADC of stacked 200 bit to resolve time slices of infinitely small increments to preven packet lossiness. Traceable to very small time slices.
Symm sells timeprovider5000, a carrier class to do time and date stamp; but have to add time slots(slices) divide by ADC upto 200 bits, stacked every 8 bit in railed power supply to count the number of packets stamped each time slice to find lost packet upstream.
Linux kernels is a disk operating system emulated from scsi and achieve multitasking cpus by ethernet packets. Smartphones are connected to telephone system and posix packets to display webpages. Big data is now sometimes text based to display on smartphones. The two systems are different that linux kernels are computer connected by ethernet. Smartphones are telephone connected, data is stored on webpages in servers in data centers.
Linus now try to maintain kernels with experienced developers of computer systems. iPhone and iPads are developed by webpage apps and games(much simpler codes). Power management of Linux kernels are time management dependent. smartphone power management is fewer pixels dependent to save battery power.
So, the future of Linux sepends on popularity of computers unless phones are more convenient than computers to work with big data.
The big news is that Ubuntu can do smartphones as operating system, using android drivers.
This implies that smartphones became a full PC. Which is not quite true. Smartphones use big data from the internet websites. PC uses desktops apps offline. Offline apps are not only PC but the smartphones uses different graphics modes(webGl). So, smartphones will be loaded with disk operating system and same as Microsoft surface operating system(Ubuntu with speed dial websites on smartphones).
But being able to read big data is an improvement for Ubuntu.
The trend to add PC technology to smartphone is futile. Basically the PC technology is too bloated. The codecs used are too many. The very reason that big data codec using webGl get all the jobs done easily.
So, these legacy operating system distributions are running to put themselves in smartphone will be wasting their time. But only time will tell. Microsoft surface tablet already is an example of neither fish or fowl.
So, people maybe curious enough to buy a few, but in the end is just futile.
In the end, big data codecs will be standardized in China and India for the cheapest smartphones.
Big data is on the internet. it is data handled by webpages that can access bank financial data using script.
Older webpages can not access bank websites to access financial data.
When smartphones can pay bills or receive money from others, it started big data programming, which made IBMPC obsolete. Today, most browsers are not compatible with big data scripts to access bank websites to keep big data accurate.
Big data is still in its infancy, and many browser programmers do not understand what big data is all about. Simplist big data approach is open more windows to operate webpages of your website and another to operate bank website to transfer money. Paypal has big data programmed along with ebay website/webpage.
paperless society does not mean that you get bigdata webpage free. If you want newspaper and magazine to be downloaded for your TV or phone, you might have to pay a few cents from telco special phone number.
paperless just mean its cheaper to download into your nand flash card for viewing then having paper delivered.
BBS program is good for file download in paperless society. Computer also can do telemarketing multi tasking.
Big data while recognized as financial data of your assets from internet, it may also include apps from appstores to download software you need.
To use appstore, you need SD memory. Many small flash cards to change sets of apps to prevent cpu overload. Not just one 32 gB nand. Each app and its cache may be stored on same flash memory card.
Cpu overload is due to apps storing data in cache, causing random crashes by cpu when used by wrong app. You have to factory reset to clear up the excess apps. So this problem has yet to be addressed by google on cache usage of each app.
Big data is wifi downloading or offline apps.
Android is apps. Ereader is only email and novel reading. Many ereaders do not do apps.
But ereaders can do big data webpages. Used for $10 is a bargain.
Ereaders also have more battery life.
Some color ereader even come with a camera.
The technology used in cellphone for speed is video resolution conversion to and from thumbnail.
The change reduced data bits for transfer.
Mjpeg was used in kodak digital cameras to do thumbnail pictures. 320x240.
Big data has to include newspapers and magazines on smartphones.
WHEN usa changed from analog to digital TV, mpeg4 was changed to mjpeg plus mp3 to work on TV camera output, converting mpeg2 to mpeg4. The data compression worked well for cloud computing and wireless network on satellite transmission(edgeqam packets).
big data paperless using mobile phones or tablets became a reality.
Now new data centers are built on Android servers using apps, not wintel legacy devices.
Its all changing for faster upload and download.
Apps are great. But most are already in websites.
So, smart phones need plenty of bookmarks.
Then you are big data ready.
Websites will add app features to improve.