Bigdata and Hadoop Developer Interview Questions and Answers

Hadoop data architect is responsible for designing and implementing the data architecture for Hadoop-based solutions.

• Designing and implementing data architecture for Hadoop-based solutions

• Ensuring data is stored efficiently and securely

• Optimizing data processing and retrieval

• Working with other teams to ensure data integration and compatibility

• Examples: designing a data lake architecture for a large retail company, implementing a real-time data processing pipeline for a financ...read more

Hive optimization techniques improve query performance by optimizing data storage and query execution.

• Partitioning tables based on commonly used columns to reduce data scanned during queries

• Using bucketing to evenly distribute data across files for faster query processing

• Using appropriate file formats like ORC or Parquet for efficient storage and retrieval

• Optimizing joins by broadcasting smaller tables or using map-side joins

• Tuning query execution parameters like parallelism ...read more

HQL is used for querying data stored in Hadoop, while SQL is used for querying data stored in relational databases.

• HQL is used in Apache Hive for querying data stored in Hadoop Distributed File System (HDFS)

• SQL is used for querying data stored in relational databases like MySQL, PostgreSQL, etc.

• HQL supports complex data types like arrays and maps, which are not supported in SQL

• HQL queries are converted into MapReduce jobs, while SQL queries are executed directly by the databa...read more

Hive is a data warehousing tool built on top of Hadoop for querying and analyzing large datasets stored in Hadoop Distributed File System (HDFS).

• Hive uses a SQL-like query language called HiveQL to process data.

• It translates HiveQL queries into MapReduce jobs to execute on Hadoop.

• Hive organizes data into tables, partitions, and buckets for efficient querying.

• It supports external tables for data stored outside of HDFS.

• Hive provides metadata storage in a relational database lik...read more