Erayga Xogta Weyn^{(Big Data)} ayaa si isa soo taraysa loogu isticmaalayaa meel kasta oo meeraha ka mid ah - online iyo offline. Oo kuma xidhna kombiyuutarada oo keliya. Waxay ku hoos timaadaa erey buste ah oo loo yaqaan Tiknoolajiyada Macluumaadka^{(Information Technology)} , taas oo hadda qayb ka ah ku dhawaad ​​dhammaan tignoolajiyada kale iyo qaybaha daraasadaha iyo ganacsiyada. Xogta Wayn^{(Big Data)} wax weyn maaha. Buun-buuninta ku xeeran waa hubaal in aad ku jahawareerinayso. Maqaalkani wuxuu eegayaa waxa ay tahay Xogta Weyn^{(Big Data)} . Waxa kale oo ay ka kooban tahay tusaale ah sida NetFlix u isticmaashay xogteeda, ama halkii, Xogta Weyn^{(Big Data)} , si ay ugu adeegto baahiyaha macaamiisheeda.

Waa maxay Xogta Weyn

Xogta ku jirta server-yada shirkaddaada waxay ahayd xog ilaa shalayto - la soocay oo la xareeyay. Isla markiiba, xogta weyn^{(Big Data)} ee slang ayaa caan noqotay, hadda xogta shirkaddaada waa Xog weyn^{(Big Data)} . Eraygu wuxuu daboolayaa qayb kasta oo xog ah oo ururkaagu kaydiyay ilaa hadda. Waxa ku jira xogta lagu kaydiyay daruuraha iyo xataa URL^(URLs) -yada aad calaamadsatay. Waxaa laga yaabaa in shirkaddaadu aanay xogta oo dhan ka dhigin digitize. Waxaa laga yaabaa inaadan u qaabaysan dhammaan xogta mar hore. Laakiin markaa, dhammaan xogta dhijitaalka ah, waraaqaha, xogta habaysan iyo kuwa aan qaabaysan ee shirkaddaada hadda waa Xog weyn^{(Big Data)} .

Marka la soo koobo, dhammaan xogta - hadday tahay ama aan la kala saarin - ee ku jira server-yadaada waxaa si wadajir ah loogu yeeraa BIG DATA . Dhammaan xogtan waxaa loo isticmaali karaa in lagu helo natiijooyin kala duwan iyadoo la adeegsanayo noocyada kala duwan ee falanqaynta. Muhiim ma aha in dhammaan falanqaynta ay isticmaalaan dhammaan xogta. Falanqaynta kala duwan waxay isticmaashaa qaybo kala duwan oo ka mid ah BIG DATA si ay u soo saaraan natiijooyinka iyo saadaasha lagama maarmaanka ah.

Xogta weyni^{(Big Data)} asal ahaan waa xogta aad ku falanqeyso natiijooyinka aad u isticmaali karto saadaalinta iyo isticmaalka kale. Markaad isticmaalayso ereyga Xogta Weyn , si lama filaan ah shirkaddaada ama ururkaagu wuxuu la shaqeynayaa tiknoolajiyada ^{(Big Data)}macluumaadka^{(Information)} heerka ugu sarreeya si loo soo saaro noocyada kala duwan ee natiijooyinka adoo isticmaalaya xog isku mid ah oo aad si ula kac ah u kaydisay sannadihii la soo dhaafay.

Intee le'eg yahay Xogta Weyn

Asal ahaan, dhammaan xogta la isku daray waa Xog weyn^{(Big Data)} , laakiin cilmi-baarayaal badan ayaa isku raacay in Xogta Weyn -^{(Big Data –)} sida - aan la isticmaali karin iyada oo la adeegsanayo xaashiyaha caadiga ah iyo qalabka caadiga ah ee maareynta xogta. Waxay u baahan yihiin qalab falanqayn gaar ah sida Hadoop (tan waxaan ku baran doonaa qoraal gaar ah) si dhammaan xogta hal mar loo falanqeeyo (waxaa ku jiri kara soo noqnoqoshada falanqaynta).

Taas lidkeeda, inkasta oo aanan ahayn khabiir ku takhasusay mawduuca, waxaan dhihi lahaa xogta urur kasta - weyn ama yar, abaabulan ama aan abaabulin - waa Xog weyn oo loogu talagalay ururkaas iyo in ururku doorto qalab u gaar ah si uu u falanqeeyo xogta.^{(Contrary to the above, though I am not an expert on the subject, I would say that data with any organization – big or small, organized or unorganized – is Big Data for that organization and that the organization may choose its own tools to analyze the data.)}

Caadi ahaan, falanqaynta xogta, dadku waxay u isticmaali jireen inay abuuraan xogo kala duwan oo ku salaysan hal ama dhowr meelood oo caan ah si ay falanqayntu u noqoto mid sahlan. Xaaladda Xogta Weyn^{(Big Data)} , looma baahna in la abuuro qaybo-hoosaadyo si loo falanqeeyo. Waxaan hadda haysanaa qalab lagu falanqeeyo xogta iyadoon loo eegin inta ay le'eg tahay. Malaha, qalabkani laftooda ayaa u kala saaraya xogta xitaa marka ay falanqaynayaan.

Waxaan u arkaa inay muhiim tahay inaan xuso laba jumladood oo ka mid ah buugga "Data Weyn" ee Jimmy Guterman :

“Big Data: when the size and performance requirements for data management become significant design and decision factors for implementing a data management and analysis system.”

-iyo-

“For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.”

Markaa waxaad arkaysaa in mugga iyo falanqaynta labaduba ay yihiin qayb muhiim ah oo ka mid ah Xogta Weyn^{(Big Data)} .

Akhriso^(Read) : Waa maxay Macdanta Macdanta?^{(What is Data Mining?)}

Fikradaha Xogta Weyn

Tani waa qodob kale oo aanay dadka badankiisu ku heshiin. Khubarada qaar ayaa sheegaya in Fikradaha Xogta Weyn^{(Big Data Concepts)} ay yihiin saddex V:

1. Mugga
2. Xawaaraha
3. Kala duwan

Qaar kale waxay fikradda ku daraan dhowr V oo kale:

1. Aragtida
2. Xaqiijinta (isku halaynta)
3. Kala duwanaansho iyo
4. Qiimaha

Waxaan ku dabooli doonaa fikradaha Xogta Weyn^{(Big Data)} ee maqaal gaar ah maadaama boostadani ay durba sii weynaaneyso. Fikradayda, saddexda V ee ugu horreeya waxay ku filan yihiin inay sharxaan fikradda Xogta Weyn^{(Big Data)} .

Tusaalaha Xogta Weyn - Sida NetFlix^{(Big Data Example – How NetFlix)} u isticmaashay si ay u xalliso dhibaatooyinkeeda

Ilaa 2008, waxaa jiray maqnaansho NetFlix^(NetFlix) taas oo ay ugu wacan tahay macaamiil badan ayaa looga tagay mugdi. Iyadoo qaarkood ay weli heli karaan adeegyada baahinta, intooda badan ma awoodin. Macaamiisha qaarkood waxay ku guulaysteen inay helaan DVD^(DVDs) -yadii ay kiraysteen halka kuwo kalena ay ku guul-darraysteen. Bloog la soo dhigay oo ku taal Wall Street Journal ayaa sheegtay in Netflix ay hadda bilowday baahinta dalabka.

Maqnaanshaha ayaa ka dhigay maamulka inuu ka fikiro dhibaatooyinka mustaqbalka ee suurtogalka ah, markaa; waxay isu rogtay Xog-weyn^{(Big Data)} . Waxay falanqeysay aagagga taraafikadda sareeyo, meelaha u nugul, iyo wax-soo-saarka shabakadda, iwm. iyadoo adeegsanaysa xogtaas waxayna ka shaqeysay inay hoos u dhigto wakhtiga hoos u dhaca haddii dhibaato mustaqbalka soo baxdo sidii ay u noqotay mid caalami ah. Halkan waxaa ah isku xirka ^{(the link)}Wall Street Journal Blog , haddii aad rabto inaad hubiso tusaalooyinka Xogta Weyn^{(Big Data)} .

Midda kore waxay soo koobeysaa waxa ay tahay Xogta Weyn ee luqadda caadiga ah. Waxaad ugu yeeri kartaa hordhac aasaasi ah. Waxaan qorsheynayaa inaan qoro dhowr maqaal oo kale oo ku saabsan arrimaha la xidhiidha sida - Fikradaha^(Concepts) , Falanqaynta^(Analysis) , Qalabka^(Tools) , iyo isticmaalka Xogta^{(uses of Big Data)} Weyn , Xogta Weyn 3 V's , iwm Dhanka kale, haddii aad jeclaan lahayd inaad wax ku darto korka, fadlan faallo ka bixi oo wadaag nala.

Akhri marka xigta^{(Read next)} : Waa maxay xoqista shabakada^{(Web Scraping)} ?

What is Big Data - A Simple Explanation with Example

The term Big Data is being increasingly used almost everywhere on the planet – online and offline. And it is not related to computers only. It comes under a blanket term called Information Technology, which is now part of almost all other technologies and fields of studies and businesses. Big Data is not a big deal. The hype surrounding it is a sure pretty big deal to confuse you. This article takes a look at what is Big Data. It also contains an example of how NetFlix used its data, or rather, Big Data, to better serve its clients’ needs.

What is Big Data

The data lying in the servers of your company was just data until yesterday – sorted and filed. Suddenly, the slang Big Data got popular, and now the data in your company is Big Data. The term covers each and every piece of data your organization has stored until now. It includes data stored in clouds and even the URLs that you bookmarked. Your company might not have digitized all the data. You may not have structured all the data already. But then, all the digital, papers, structured and non-structured data with your company is now Big Data.

In short, all the data – whether or not categorized – present in your servers are collectively called BIG DATA. All this data can be used to get different results using different types of analysis. It is not necessary that all analyses use all the data. The different analysis uses different parts of the BIG DATA to produce the results and predictions necessary.

Big Data is essentially the data that you analyze for results that you can use for predictions and other uses. When using the term Big Data, suddenly your company or organization is working with top-level Information technology to deduce different types of results using the same data that you stored intentionally or unintentionally over the years.

How big is Big Data

Essentially, all the data combined is Big Data, but many researchers agree that Big Data – as such – cannot be manipulated using normal spreadsheets and regular tools of database management. They need special analysis tools like Hadoop (we’ll study this in a separate post) so that all the data can be analyzed at one go (may include iterations of analysis).

Contrary to the above, though I am not an expert on the subject, I would say that data with any organization – big or small, organized or unorganized – is Big Data for that organization and that the organization may choose its own tools to analyze the data.

Normally, for analyzing data, people used to create different data sets based on one or more common fields so that analysis becomes easy. In the case of Big Data, there is no need to create subsets for analyzing it. We now have tools that can analyze data irrespective of how huge it is. Probably, these tools themselves categorize the data even as they are analyzing it.

I find it important to mention two sentences from the book “Big Data” by Jimmy Guterman:

“Big Data: when the size and performance requirements for data management become significant design and decision factors for implementing a data management and analysis system.”

-And-

“For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.”

So you see that both volume and analysis are an important part of Big Data.

Read: What is Data Mining?

Big Data Concepts

This is another point where most people don’t agree. Some experts say that the Big Data Concepts are three V’s:

1. Volume
2. Velocity
3. Variety

Some others add few more V’s to the concept:

1. Visualization
2. Veracity (Reliability)
3. Variability and
4. Value

I will cover concepts of Big Data in a separate article as this post is already getting big. In my opinion, the first three V’s are enough to explain the concept of Big Data.

Big Data Example – How NetFlix used it to fix its problems

Towards 2008, there was an outage at NetFlix due to which many customers were left in the dark. While some could still access the streaming services, most of them could not. Some customers managed to get their rented DVDs whereas others failed. A blog post on the Wall Street Journal says Netflix had just started on-demand streaming.

The outage made the management think about the possible future problems and hence; it turned to Big Data. It analyzed high traffic areas, susceptible points, and network throughput, etc. using that data and worked on it to lower the downtime if a future problem arises as it went global. Here is the link to the Wall Street Journal Blog, if you wish to check out the examples of Big Data.

The above summarizes what is Big Data in a layman’s language. You can call it a very basic introduction. I plan to write a few more articles on associated factors such as – Concepts, Analysis, Tools, and uses of Big Data, Big Data 3 V’s, etc. Meanwhile, if you would like to add anything to the above, please comment and share with us.

Read next: What is Web Scraping?

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