Relational data integrity In DBMS In Hindi – जानें हिन्दी में क्या हैं

Relational data integrity In DBMS In Hindi – जानें हिन्दी में क्या हैं:-


Relational data integrity ka mtlb hai ki ek relational database me rakh gayi data ki sahi, consistent aur vishwasniyata hona. Ye concept E.F. Codd ne diya tha. Relational data integrity ke kuch mukhya pahlu hote hain, jinka uddeshya ye hota hai ki database me jo data hai, vo satik ho, aur vo asli duniya ke vastuon aur unke rishton ko sahi tarah se darshaye. Yahan kuch mukhya siddhant hain jo relational data integrity se judte hain:

  1. Entity Integrity:
    • Ye ensure karta hai ki har ek row (tuple) ek table me ek primary key dwara uniquely identify hoti hai.
    • Primary key me unique aur non-null values hone chahiye.
  2. Referential Integrity:
    • Ye ensure karta hai ki tables ke beech ke rishte sahi dhang se bane rahe.
    • Foreign key constraints ka istemal tables ko jodne ke liye hota hai.
    • Ek table me foreign key dusre table me primary key ko refer karta hai.
    • Ye ensure karta hai ki ek table me foreign key ki value dusre table me primary key ki value ke sath milta julta hai.

Advantage of Relational data integrity In DBMS In Hindi

Relational data integrity ka palan karna database management mein kai fayde (advantages) laata hai. Yahan kuch mukhya advantages hain:

  1. Data Accuracy:
    • Relational data integrity ensure karta hai ki har ek row ko uniquely identify karne wale primary key ke through data accurate ho. Isse galat, duplicate ya missing data ki samasyaon se bacha ja sakta hai.

  2. Consistency:
    • Referential integrity se, database me rakhay gaye data ke beech ke rishte sahi taur par bane rahte hain. Ye consistency ko maintain karta hai, jisse ki data ke different parts ke beech mein conflicts aur discrepancies nahi aati.

  3. Reliability:
    • Data integrity database mein stored data ki vishwasniyata ko badhata hai. Users aur applications ko yeh assurance milta hai ki database mein stored information sahi aur bharosemand hai.

  4. Data Relationships:
    • Referential integrity ke through, database me data ke beech ke relationships ko define kiya ja sakta hai. Isse related data ko khojna aur analyze karna aasan ho jata hai.

  5. Data Quality:
    • Data integrity contribute karta hai data quality ko improve karne mein. Accurate aur consistent data quality ke saath, users ko better decision-making capabilities milti hain.

  6. Security:
    • Data integrity security ko bhi enhance karta hai, kyun ki accurate aur reliable data ke saath, unauthorized access aur data breaches ko prevent karna aasan ho jata hai.

  7. Maintainability:
    • Database mein relational data integrity ko maintain karna aasan hota hai. Changes aur updates ko handle karne mein asani hoti hai, aur database ke structure mein hone wale modifications ka asar kam hota hai.

In advantages ke saath, relational data integrity database management systems ko robust, dependable, aur effective banata hai.

fig.- Referential Integrity

Disadvantages of Relational data integrity In DBMS In Hindi – जानें हिन्दी में क्या हैं:-

  1. Complexity (Jaatilta): Data integrity constraints lagana database design aur management ko complex banata hai. Ismein table ke beech ke rishte, business rules aur performance ke asar jaise kai factors ko dhyan mein rakhna hota hai.

  2. Overhead (Bojh): Data integrity constraints lagane se database operations par bojh pad sakta hai. Jab bhi data insert, update, ya delete hota hai, RDBMS ko constraints ko check aur enforce karne ki zarurat hoti hai, jo ki performance par asar daal sakta hai, khaaskar bade databases mein.

  3. Performance Impact (Pradarshan ka Prabhav): Integrity constraints ka lagu hona kabhi kabhi database operations ko slow kar sakta hai, khaaskar bade volumes ya jaatil constraints ke mamle mein. Isse system ki pratikriya shaili mein kami aa sakti hai aur queries aur transactions ke liye lambi processing samay aa sakta hai.

  4. Flexibility ki Limitation (Lachility ki Parimiti): Data integrity constraints database schema ki flexibility par seemitaiyan laa sakta hai. Constraints ke badlav karnae par maujooda data ko badalna ya database ko punargathan karna pad sakta hai, jo samay roopak aur vilambakari ho sakta hai.

  5. Data Duplication (Data ki Dobara Bnakari): Kabhi kabhi data integrity constraints ka lagu hona data duplication ya denormalization ko badha sakta hai. Ye storage ko badha sakta hai aur data management aur maintenance ko uljhan mein daal sakta hai.

  6. Inconsistencies (Asanyatayein): Data integrity constraints ki disha mein, agar constraints sahi dhang se lagaye na jaayein ya phir validation logic sahi nahi hai, to ye data inconsistencies ko introduce kar sakte hain. Galat constraints ya thik se validation ki kami se, invalid data database mein dakhil ho sakti hai, jo data integrity ko khatra banata hai.

  7. Maintenance ki Complexity (Samvartan ki Jaatilta): Database badhne aur viksit hone ke sath, data integrity constraints ko maintain karna mushkil ho jaata hai. Business rules, data models, ya application ke zarurat ke badlav ke saath, existing constraints ko update karna zaroori ho sakta hai, jo ki prabandhan aur coordination mein kathinaiyan paida kar sakta hai.

Samanya roop se, relational data integrity ka palan karna database ke data ki sahiyat aur vishwasniyata ko ensure karne ke liye zaroori hai, lekin anjaane nuksan aur gair-mandarjah asar se bachne ke liye dhyan se vichar karna zaroori hai.

Features of Relational data integrity In DBMS In Hindi – जानें हिन्दी में क्या हैं:-

  1. Constraints (Pabandhiyan): Ye rules hote hain jo data ko sahi aur consistent rakhne ke liye lagaye jaate hain. Jaise ki, Primary Key constraints jo unique identifier ki value ko define karte hain, Foreign Key constraints jo do tables ke beech ke rishte ko define karte hain, aur Check constraints jo data ke maan-samantar ko check karte hain.

  2. Transactions (Lenden): Transactions data ke changes ko ek consistent aur atomic (indivisible) tareeke se execute karte hain. Ye ACID (Atomicity, Consistency, Isolation, Durability) properties ko maintain karte hain, jo data integrity ko ensure karte hain.

  3. Referential Integrity (Sambandhit Sanyam): Ye feature Foreign Key constraints ke through ensure karta hai ki ek table mein rakhe gaye data ko dusri table ke sambandhit data se link karte waqt data ki consistency maintain hoti hai. Agar ek reference delete hoti hai, to associated records ko bhi automatically update ya delete kiya jaata hai.

  4. Transactions Logging (Lenden Ki Loggin): Ye feature database mein har transaction ka log rakhta hai. Agar koi galti hoti hai ya system kaam nahi karta hai, to ye log transaction ko recover karne mein madad karta hai, jisse data integrity bani rehti hai.

  5. Data Validation (Data Samaikaran): DBMS data input ko validate karta hai taki sirf sahi aur maan-samantar data hi database mein dakhil ho. Jaise ki, data type, length, aur constraints ka verification karna.

  6. Data Backup and Recovery (Data Suraksha aur Punaruddhar): Ye feature data ki suraksha ke liye hota hai. Regular backups bana kar rakhe jaate hain taki data loss hone par use recover kiya ja sake.

Ye features milakar database mein data integrity ko maintain karte hain, jisse data sahi aur consistent rehta hai aur uska bharosa rakha ja sakta hai.

Leave a Comment