Recall & Review
beginner
What is data serialization in the context of big data?
Data serialization is the process of converting data into a format that can be easily stored or transmitted and later reconstructed. It helps in efficient storage and fast data processing in big data systems.
Click to reveal answer
beginner
What is Avro and what is it mainly used for?
Avro is a data serialization system that uses JSON for defining data schemas and a compact binary format for data storage. It is mainly used for data exchange between systems and supports schema evolution.
Click to reveal answer
intermediate
How does Parquet optimize data storage?
Parquet is a columnar storage format that stores data by columns instead of rows. This allows for better compression and faster queries on specific columns, making it efficient for analytical workloads.
Click to reveal answer
intermediate
What is ORC and why is it preferred in Hadoop ecosystems?
ORC (Optimized Row Columnar) is a columnar storage format designed for Hadoop. It provides high compression, fast read performance, and supports complex data types, making it ideal for large-scale data processing.
Click to reveal answer
advanced
Compare Avro, Parquet, and ORC in terms of use cases.
Avro is best for data exchange and streaming with schema evolution. Parquet and ORC are columnar formats suited for analytical queries; Parquet is widely used in many systems, while ORC is optimized for Hadoop with better compression and performance.
Click to reveal answer
Which data serialization format uses JSON to define its schema?
✗ Incorrect
Avro uses JSON to define its schema, making it easy to understand and evolve.
Which format stores data by columns to improve query speed on specific fields?
✗ Incorrect
Parquet is a columnar storage format, which stores data by columns for faster queries.
Which serialization format is specifically optimized for Hadoop with high compression?
✗ Incorrect
ORC is optimized for Hadoop with features like high compression and fast read performance.
Which format is best suited for streaming data and schema evolution?
✗ Incorrect
Avro supports schema evolution and is commonly used for streaming data.
Which of these is NOT a columnar storage format?
✗ Incorrect
Avro is a row-based format, unlike Parquet and ORC which are columnar.
Explain the main differences between Avro, Parquet, and ORC formats.
Think about schema, storage style, and typical use cases.
You got /4 concepts.
Describe why columnar storage formats like Parquet and ORC are preferred for analytical queries.
Consider how data is accessed in analytics.
You got /4 concepts.