Punj Lloyd Data Engineer Interview Questions and Answers

Data sharding is the process of splitting a database into smaller, more manageable parts called shards.

• Data sharding helps distribute data across multiple servers to improve performance and scalability.

• Each shard contains a subset of the data, allowing for parallel processing and faster query times.

• Common sharding techniques include range-based sharding, hash-based sharding, and key-based sharding.

• Examples of data shar...read more

Clustering is a technique used in data analysis to group similar data points together based on certain criteria.

• Clustering is an unsupervised machine learning technique.

• It is used to discover hidden patterns or groupings in data.

• Common clustering algorithms include K-means, hierarchical clustering, and DBSCAN.

• Example: clustering customers based on their purchasing behavior to identify different market segments.