Iyo maitiro edatabase uye zvinhu zvayo Izvo zvakakosha kuti unzwisise kushanda kwechinhu ichi chakakosha mukutonga kweruzivo. Dhatabhesi seti yedata rakabatana, rakarongwa uye rakachengetwa kuti rigone kushandiswa nemazvo. Zvinhu zvikuru zvedhatabhesi zvinosanganisira matafura, minda, marekodhi nemakiyi, ayo anoita basa rakakosha mukuumbwa uye kushanda kwedhatabhesi. Kunzwisisa izvi zvakakosha⁢ zvinhu uye hunhu kwakakosha ⁢kune chero munhu anoshanda nemadhatabhesi, angave ebhizinesi, edzidzo, kana ega ega. Muchinyorwa chino, tichaongorora zvakadzama maitiro edatabase uye zvinhu zvayo kuti ikubatsire kunzwisisa zviri nani mashandiro akakosha aya sosi.

Nhanho ⁢nenhanho ➡️ Hunhu hwedhatabhesi uye zvinhu zvayo

• Hunhu hwe database uye zvinhu zvayo
• Las bases de datos ⁤Maseti eruzivo rwakarongeka ⁢kuchengetwa nemagetsi mukombuta system.
• La información mune dhatabhesi yakarongwa kuitira kuti zvive nyore kutsvaga, kubata uye kugadzirisa.
• Zvinhu zvikuru ⁢yedatabase ndiwo matafura, minda, marekodhi uye hukama huri pakati pazvo.
• Imwe neimwe tabla inomiririra chikamu kana chikamu cheruzivo, sevatengi, zvigadzirwa, kana maodha.
• Los campos ‍ ndiwo makolamu etafura uye anomiririra marudzi akasiyana e data rinogona kuchengetwa, semazita, mazuva kana huwandu.
• Marejista ndiyo mitsara yetafura uye inomiririra mamiriro emunhu e data, senge mutengi chaiwo kana chimwe chigadzirwa.
• Hukama Ivo vanosimbisa hukama pakati pematafura, vachibvumira ruzivo kuti ruve nehukama uye kubvunzurudzwa zvakanaka.
• Databases vane kukwanisa kuchengetedza data kutendeseka nekuona kuti ruzivo rwakarurama uye rwunoenderana nguva dzese.
• Kuchengetedzwa Hunhu hwakakosha hwemadatabase, sezvo data rakavanzika richifanira kuchengetedzwa kubva pakuwanikwa kusingatenderwe.
• Kukwanisa kukura chimwe chinhu chinodiwa, sezvo dhatabhesi dzinofanirwa kukura uye kuchinjika sezvo zvinodiwa nesangano zvinoshanduka.

Mibvunzo neMhinduro

Hunhu hwe database uye zvinhu zvayo

1. Ndeapi maitiro edatabase?

1. Sangano uye chimiro che data
2. Kuchengetedza kugona
3. Kuchengetedzwa kwemashoko uye kuvanzika
4. Kuvimbika uye kuwanikwa
5. Kureruka kwekuwana data uye kugadzirisa

2. Ndezvipi zvinhu zviri chikamu chedhatabhesi?

1. Matafura
2. Campos
3. Zvinyorwa
4. Makiyi ekutanga
5. Hukama pakati pematafura

3. Chii chinonzi tafura mudhatabhesi?

1. Tafura muunganidzwa wedata wakarongwa kuita mitsara nemakoramu.
2. Koramu yega yega inomiririra ndima iri patafura
3. Mutsara wega wega unomiririra rekodhi mutafura

4. Ndeipi basa reminda mune dhatabhesi?

1. Iyo minda inotsanangura chimiro cheruzivo ruchachengetwa mudura.
2. Imwe neimwe ndima ine chaiyo data mhando, senge zvinyorwa, nhamba, zuva, nezvimwe.
3. Minda inogona zvakare kuve nezvirambidzo senge yekumanikidza kana yakasarudzika data.

5. Chii ⁤chinyorwa chiri mudura?

1. Rekodhi muunganidzwa wedata unoenderana nechimwe chinhu chiri mudhatabhesi
2. Rekodhi inogadzirwa nehunhu hwemunda wega wega uri patafura
3. Rekodhi rega rega rakasiyana mukati metafura

6.⁢ Sei makiyi ekutanga akakosha mudhatabhesi?

1. Makiyi ekutanga anovimbisa kusarudzika kwerekodhi yega yega mutafura
2. Makiyi ekutanga anobvumira rekodhi yega yega mudhatabhesi kuti izivikanwe zvakasarudzika.
3. Makiyi ekutanga anosimbisawo hukama pakati pematafura

7. Hukama hunotangwa sei pakati pematafura ari mudura?

1. Hukama hunotangwa kuburikidza nekushandisa makiyi ekutanga uye makiyi ekunze
2. Kiyi yekunze mune imwe tafura inoreva kiyi yekutanga yeimwe tafura
3. Hukama hunogona kuva mumwe-kune-mumwe, mumwe-kune-vazhinji, kana vazhinji-kune-vazhinji.

8. Chii chinonzi normalization mune dhatabhesi?

1. ⁤normalization⁤ maitiro ekuronga data mu ⁢database kudzivirira kusawedzerwa⁢ uye kusapindirana kweruzivo.
2. Normalization inowanikwa nekugadzira mamwe matafura uye kumisa hukama pakati pavo
3. Chinangwa che normalization ndechekugonesa dhizaini mashandiro uye kutendeseka.

9. Ko kuchengetedzeka uye kuvanzika kunoita basa rei mudura remabhuku?

1. Chengetedzo uye kuvanzika kwakakosha kuchengetedza ruzivo rwakavanzika mudhatabhesi
2. Mvumo nemabasa anoshandiswa kudzora kuwanikwa kwedata uye kudzora mashandiro anogona kuitwa nevashandisi.
3. Data encryption zvakare chiyero chakakosha chekudzivirira ruzivo rwakadzama.

10. Kuvimbika uye kuvapo kwedatabase kunogona kuvimbiswa sei?

1. Kuvimbika kunowanikwa nekushandisa backups uye kudzoreredza njodzi
2. Kuwanikwa kunovimbiswa kuburikidza ne server redundancy uye kushandiswa kwepamusoro kuwanikwa masisitimu
3. Kugara kwekutarisa uye kuchengetedza kuchengetedza zvakare kwakakosha pakuona kuvimbika kwedatabase uye kuwanikwa.