87| DBMS | Hashing : Chaining - Open Addressing or Closed Hashing | Hashing & B Tree GATE Questions

Gate Question on B Trees:
A b tree of order 4 is built from scratch by 10 successive insertions. what is the maximum number of node splitting operations that may take place?

Gate Question on Hashing:
1) Gate 2014 CSE: Consider a hash table with 9 slots. The hash function is ℎ(k) = k mod 9. The collisions are resolved by chaining. The following 9 keys are inserted in the order: 5, 28, 19, 15, 20, 33, 12, 17, 10. The maximum, minimum, and average chain lengths in the hash table, respectively, are?

2) Gate 2014 CSE: Consider a hash table with 100 slots. Collisions are resolved using chaining. Assuming simple uniform hashing, what is the probability that the first 3 slots are unfilled after the first 3 insertions?

3)


Dive into the world of hashing techniques with this tutorial covering chaining, open addressing (closed hashing), and B-Tree concepts relevant to GATE exams. Explore the nuances of each hashing method and solve a GATE-level B-Tree question with step-by-step guidance.

🔍 What You'll Learn:

Hashing Techniques: Understand the differences between chaining and open addressing in hash tables.
Chaining: Explore how chaining resolves collisions and manages data storage in hash buckets.
Open Addressing: Learn about the strategies involved in open addressing, such as linear probing and quadratic probing.
B-Tree Concepts: Gain insights into B-Tree structures and their role in database indexing.
GATE Exam Preparation: Practice solving a GATE-level question on B-Trees to reinforce your understanding.
📚 Why This Video Matters:
Mastering hashing techniques and B-Tree concepts is essential for database management professionals and students preparing for GATE exams. This tutorial provides practical knowledge and problem-solving skills to excel in these areas.

💡 Who Should Watch:

Students preparing for GATE and other competitive exams in computer science.
Database administrators and developers seeking to deepen their understanding of hashing and indexing.
Anyone interested in learning about advanced data structures used in database management.

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