Kukurukurirana - 

0

Kukurukurirana - 

0

Wepamusoro mashanu Kugadziriswa kuData Dziviriro Dambudziko

Big Data ndiwo makuru e data seti anogona kuverengerwa achishandisa makomputa kuti awane mapatani, maitiro, uye hukama, zvakanyanya izvo zvine hukama nehunhu hwevanhu nekudyidzana.

Ndeapi Matambudziko e Big Data Kuchengetedza?

The biggest challenge which is faced by big data tichifunga nezve chibatiso point of view is safeguarding the user’s privacy. Big Data mostly contains vast amounts of personal particular information and thus it is a huge concern to maintain the privacy of the user.

As the data stored is in big amount, breaching it will affect big data a lot as there will be devastating consequences than the data breaches we normally see in the press. The reason behind this is that a big data chibatiso breach will probably affect a great number of people, with a penalty not only from a point of view reputation but with vast zviri pamutemo migumisiro.

When information for big data is produced, organizations must make sure that they maintain the right balance between privacy and utility of the data. Before storing the data do see it is sufficiently anonymized, removing any unique identifier for a user.  This on its own is a dambudziko rekuchengetedza sekubvisa zvakasarudzika zvinoratidza hazvingakwani kusimbisa kuti data richaramba risingazivikanwe. Iyo isingazivikanwe data inogona kunyatso tariswa kune imwe inowanikwa data inotevera de-anonymization nzira.

Kana masangano arikuchengeta iyo data dambudziko rekunyorwa rinogona kutarisana navo. Vashandisi havagone kuendesa yakavharidzirwa dhata kana vangazoda kuita mashandiro pane iyo data. Kuti ushandise iyi mhinduro ndeye "Zvizere Homomorphic Encryption" (FHE), iyo inobatsira data rakachengetwa mu gore to work on operations over the encrypted data as then the new encrypted data will be formed.  When the data is decrypted the results will be the same which you will observe when functions are carried out on plaintext data. Thus, the gore will actually be sufficient to work on operations over encrypted data. Without an understanding of the underlying plaintext data.

The most significant challenge using big data is how to ascertain ownership of information. A trust boundary should be established between the data owners and the data storage owners if the data is stored in the gore.

Mukuchengetedza iyo data inokwana nzira dzekudzora dzekuwana dzinodiwa. Kana iyo system kana iko application ikabiwa ipapo yekuwana kutonga kunofanirwa kupihwa neanoshanda masystem kana maapplication anotadzisa kupinda kune iyo ruzivo. Kufamba kuri nani ndekwekudzivirira ruzivo uchishandisa encryption iyo inongoziva chete decryption kana iyo unit iri kuyedza kubata ruzivo irikubvumidzwa nemutemo wekubvuma kudzora.

Rimwe dambudziko nderekuti Software which is normally used to store big data, zvakaita se Hadoop are not always available with user authentication by default. This makes the issue of access control worse, as a default installation would depart the information which is available to unauthenticated users. Big data solutions are mostly dependent on traditional firewalls or implementations at the application layer to limit access to the information.

Kufarira Big Data? Download our free eBook today.

Maitiro Ekuchengetedza uye Mhinduro kuMajuru Makuru Ekuchengetedza Matambudziko?

sezvo Big Data is a new concept, so there is not a sufficient list of practices which are well recognized by the chibatiso community. However, there are a number of general chibatiso recommendations that can be used for big data:

1. Chengeta cheki kune vako vanopa gore:

kana wako big data is stored in the could, you must make sure that your provider has sufficient protection mechanisms in place. Do see that the provider does periodic chibatiso audits and agree on penalties in the situation when adequate chibatiso standards are not met.

2. Inzira yekudzora yekuwana yakakwana inofanirwa kugadzirwa:

Mitemo inofanirwa kuitwa zvekuti inobvumidza mukana kune vashandisi vane mvumo chete. Izvi zvinodzivirira kusabvumidzwa kwemvumo kune data kubva kune zvese zvemukati nekunze masosi.

3. Chengetedza data rako:

It is very important to protect both your data that is raw data and the outcome from analytics. To ensure no sensitive data is leaked, encryption should be used accordingly.

binary data

Kudzivirirwa kwekukurukurirana:

Kuchengetedzwa kwakaringana kunofanirwa kupihwa dhata mukufambisa kuti ive nechokwadi chekuvanzika nekuvimbika.

5. Real-nguva chengetedzo yekutarisa:

Panofanirwa kuve nechengetedzo pane iko kuwana kune iyo data uye inofanira kuongororwa. Kuchengetedza kusabvumidzwa kuwana kune iyo data, kutyisidzira ungwaru kunofanirwa kushandiswa.

Matekinoroji Solutions ayo aripo eiyo Big Data:

Mhinduro huru yekuchengetedza iyo data yakachengetedzwa ndeye kushandisa iko kunyorera zvakakwana. Semuenzaniso, Encryption inova hunhu-hwakavakirwa inogona kubatsira mukupa yakanakisa-yakatemwa yekubvuma kutonga kweyakavanzika data.

Izvo zvakakoshawo kuti usazivise iyo data kuti uve nechokwadi chekuti zvakavanzika zvechengetedzo zvinochengetwa. Panofanira kunge paine cheki kuti kubva pane zvinyorwa zvakaunganidzwa ruzivo rwese rwakashata rwakabviswa.

For big data project, real-time chibatiso monitoring is vital. To ensure there is no unauthorized access the organizations should monitor the usage.  Even the kutyisidzira njere inofanirwa kunge iri panzvimbo yekuona kuti kurwiswa kwakaoma kunowanikwa uye kuti masangano anogona kupindura kutyisidziro zvisati zvaitika.

Are you looking for experts to help you leverage Big Data? Bata nhasi.

Tags:

Anurag

0 Comments

Subscribe To Newsletter Vedu

Subscribe To Newsletter Vedu

Joinha yedu yekutumira runyorwa kuti ugamuchire zvazvino nhau nekuvandudzwa kubva kuchikwata chedu.

Iwe Zvinobudirira akanyoresa!

Share This
%d bloggers seizvi: