Big Data - Sqoop Assessment Test

A Big Data - Sqoop Assessment Test evaluates candidates for their proficiency in Apache Sqoop, a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases (RDBMS) like MySQL, Oracle, PostgreSQL, and others.

A Big Data - Sqoop Assessment Test evaluates candidates for:

1. Sqoop Basics: Understanding of Sqoop concepts, including data import/export, connectors, and Sqoop commands.
2. Data Transfer: Proficiency in using Sqoop commands to transfer data between Hadoop and relational databases, including importing data into Hadoop (from RDBMS to HDFS) and exporting data from Hadoop (from HDFS to RDBMS).
3. Incremental Data Transfer: Knowledge of Sqoop incremental import/export techniques for transferring only the changed or new data since the last import/export operation.
4. Parallelism and Performance Optimization: Understanding of Sqoop parallelism and optimization techniques to improve data transfer performance, including parallel imports/exports, map tasks, and compression.
5. Data Serialization Formats: Familiarity with different data serialization formats supported by Sqoop, such as text, binary, Avro, Parquet, and SequenceFile, and their use cases.
6. Data Filtering and Selection: Ability to use Sqoop commands to filter and select specific data subsets during import/export operations based on criteria such as columns, rows, or query conditions.
7. Connectivity and Authentication: Knowledge of configuring Sqoop connectors for different databases, handling authentication mechanisms (e.g., username/password, Kerberos), and managing database connections securely.
8. Sqoop Jobs and Integration: Understanding of Sqoop job scheduling and automation using Sqoop commands or workflow management tools like Oozie for recurring data transfer tasks.
9. Error Handling and Logging: Implementation of error handling mechanisms and logging strategies to monitor and troubleshoot data transfer issues, including Sqoop logs and error messages.
10. Best Practices and Security: Adherence to best practices for secure data transfer, including data encryption, access control, and compliance with data governance policies and regulations.

Overall, our Big Data - Sqoop Assessment Test assesses candidates' proficiency in using Apache Sqoop for efficient and reliable data transfer between Hadoop and relational databases, providing valuable insights into their skills and experience in big data integration and management.