Online Test

1). Explain the difference between row-based and columnar storage formats, and how Parquet leverages columnar storage.?

2). Describe the Parquet file format structure, including row groups, page, and dictionary encoding.?

3). How does Parquet handle null values and data types??

4). What are the trade-offs between Parquet, ORC, and Avro formats??

5). How can you optimize Parquet file performance for analytics workloads??

6). Explain the concept of Parquet schema evolution and its implications.?

7). How can you handle large Parquet files efficiently for processing??

8). What are the challenges of using Parquet for real-time data processing??

9). How can you ensure data quality and consistency when working with Parquet files??

10). What is the role of compression codecs in Parquet file performance??

11). How can you optimize Parquet file storage for cloud environments like AWS S3??

12). What are the potential performance implications of using Parquet files for ad-hoc queries??

13). How can you integrate Parquet with machine learning pipelines??

14). What are the future trends and developments in Parquet file format??

15). How can you ensure data quality and consistency when ingesting data into Parquet files??

Test Results