Myths ntawm cov ntaub ntawv loj
Txheej txheem cej luam
Ntawv loj, cov ntaub ntawv kev kawm, thiab ntaub ntawv loj analytics muaj kab tias tej lus kub nyob hauv tshuab hnub no lub ntiaj teb. Tab sis npog, tib lub sij hawm muaj ntau misunderstanding thiab feeb tsis meej txog cov ntsiab lus uas. So people start thinking in different directions which may not be correct.
Nyob rau cov tshooj no, my effort would be to discuss those big data myths and their actual meanings.
What are the meaning of big data, data science and analytics?
Before knowing about the myths of ntaub ntawv loj, you must have knowledge about the term big data, data science and analytics. Nta, everything is connected to the Internet. These things generate data every day, which can be utilized by businesses or organisations to get useful insights about the users, and this is called big data.
Cov ntaub ntawv kev kawm and analytics can be defined as a process of managing and utilizing such data for getting insights. There are lot of tools available for analysis of these huge stores of data.
Li ntawd, all these terms are connected with each other and revolutionize the world of data.
Vim li cas thiaj muaj ib tug myth txog ntaub ntawv loj?
Lub newest innovation hauv lub lag luam yog tias cov ntaub ntawv loj. Ntawv loj pom tau tias yog ib tug ntawm cov sorts. Nws yog ib qho tseem ceeb heev rau cov lag luam uas tag nrho cov tsev loj ntseeg tias tsis muaj cov kev them nyiaj yug ntawm cov ntaub ntawv loj, Lwm cov lag luam yuav overtake lawv thiab lawv yuav muab lub xeem nyob rau hauv cov haiv neeg. Yog li, Txhiab tus myths lwm tus loj cov ntaub ntawv muaj nyob. Thiab, yog hais tias koj mloog zoo heev rau cov myths, ces koj lub lag luam tag nrho efficiency yuav hampered.
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Cov ntaub ntawv loj myths?
Muaj ntau ntau myths lwm tus loj cov ntaub ntawv. Muaj coob tus neeg yog overly enthusiastic txog adopting nws, los yog ntshai txog nws tus kheej. Cov myths yuav tiag hamper koj kev txiav txim siab ua. Ib txhia qhov zoo tshaj plaws paub myths muaj tau tham txog hauv qab no.
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Cov ntaub ntawv loj yog hype
It is a very popular opinion of the masses that big data is over hyped. They believe that big data is actually nothing but the “same old data”, though in humongous amounts. They believe that there is nothing new in the concept, except that only big zaum can read the information from the data. This and the additional costs included for technology makes it even more expensive. Yog li, there is expected that big data won’t be used by the smaller businesses for a few years.
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All problems are big data problems
Businesses believe that any problem related to analytics is a big data problem. Txawm li cas los, every thing isn’t a big data issue. Piv txwv, if you are trying to match some terabytes of information to a couple of fields according to a few conditions, it really isn’t a big data problem.
Big data can predict the future
This one is not completely a myth, but rather it is what some would call a half-truth. Correct use of big data can really give you some insights for prediction of the future, but these insights are based on historic data. This means that the insights will depend of the data which was analysed and the requirements or the questions of the user. Yog li no, big data is not 100% reliable for future predictions.
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Big data is only for big organisations
Many companies believe that big data is only for big companies with big budgets. This is the reason why mostly big companies use big data solutions. Big data requires a lot of capital for technological setup and manpower. Txawm li cas los, as the cost of these components will decrease, the power of these technologies will increase too, raws li ntau start-ups yuav tau siv tej tshuab. Tib lub sijhawm, Peb yuav tsum nco ntsoov tias huab xam no kuj ua cov tshuab thiab platforms muaj rau lub koom haum me me ntawm tus nqi tsawg dua. Li ntawd, Cov ntaub ntawv loj yog yuav them taus rau tag nrho cov koom haum uas muaj ntaub ntawv
Cov ntaub ntawv loj yog zoo tab sis messy
Nyob rau hauv ntaub ntawv loj, Nyob ntawm tus insights nyob ntawm tus magnitude thiab kev txhim khu kev qha ntawm cov ntaub ntawv yog analysed. Li ntawd, Qhov no txhais tau tias yog koj analyse cov ntaub ntawv tsis ncaj ncees lawm, ces koj cov insights yuav tsis ncaj ncees lawm.
Cov ntaub ntawv loj loj uas tsis ncaj ncees lawm kuj yuav ua rau kev txiav txim siab phem. Piv txwv li ntawm qhov no yog messines ntawm cov ntaub ntawv, Raws li analyzing ntaub ntawv loj tsis yooj yim heev. Txawm li cas los, Li analytical tov yog qhov ntau dua cov neeg siv cov phooj ywg, Nws yuav yooj yim rau analyse cov ntaub ntawv.
Li ntawd, the challenge is to make this messy data (ntaub ntawv loj) clean and then analyze it to get proper insights.
Big data technologies are matured
Ua tau, big data technologies are simply a network of different types of software with special features for computing large volume of data, and it evolves with time. Yog li, big data technology isn’t completely matured as there are many flaws in these network/eco-system components. It still is not completely mature enough to analyse the recent flood of diverse data types. Big data will gradually mature, as more and more people start adopting it.
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Big data will replace existing data warehouses
This is a really dangerous myth. Big data is still not evolved enough to serve the needs of every type of data related issues. Thiab, we must also remember that big data technologies/platforms are not a replacement for traditional data warehouses or RDBMS. Big data is for specific requirements and should not be applied everywhere. Li ntawd, big data is not to replace current data warehouses, though it may meet some requirements of ntaub ntawv warehouses in near future.
Big data strategy is only an IT responsibility
Having an IT section in a company really helps, as the IT department often sets up the various kinds of software and hardware required for big data. Txawm li cas los, only a dedicated IT team isn’t enough to deploy a big data strategy. The big data strategy helps in taking better decisions, so the department in charge of the decision must carefully evaluate the solutions.
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Hadoop is the ultimate solution for big data
Hadoop is often considered to be the best big data solution. Txawm li cas los, there are many other alternatives to Hadoop. The solution actually depends upon your own requirements.
Big data is new
The term big data is new, and the data available today is also very new. But the concept of big data and its uses are very old. Many companies used big data before it was officially called “big data”. Li ntawd, this myth is not entirely true.
Are these myths really important?
These big data myths are very obstructive and can result in bad business decisions. These myths can make you waste your precious resources, which would have otherwise been used to increase your businesses flexibility. These myths can even let you miss important opportunities for your business and lead to bad decisions. Yog li, you should know the full truth, as half-truths can be really dangerous for your business.
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What are the actual realities?
The actual realities are quite different from the myths. Feem ntau, these myths are only half-truths and rumours, which may be spread by ignorant people who don’t understand the concepts related to big data and data science. These myths can be harmful for your business or organisation, so the myths along with the realities are given in this article so that you don’t get confused about big data.
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Txoj kev
Big data is a relatively new concept. Its proper adoption can lead to better business decisions, more sales and customer satisfaction. Txawm li cas los, like all new concepts, this too comes with a lot of untrue facts, which are mainly rumours spread by ignorant people. Believing in these rumours can hamper progress and lead to many other troubles. Yog li, you must know how to tackle these rumours and ensure that your business works properly. For this reason, this article has discussed about the ten biggest myths related to big data, so that you can think sensibly.
