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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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12 Top Hadoop Security Interview Questions

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Here are the interview questions on Hadoop security. Useful to learn for your data science project and for interviews.

Frequently asked interview questions on Hadoop security.

 12 Hadoop Security Interview Questions

  1. How does Hadoop security work?
  2. How do you enforce access control to your data?
  3. How can you control who is authorized to access, modify, and stop Hadoop MapReduce jobs?
  4. How do you get your (insert application here) to integrate with Hadoop security controls?
  5. How do you enforce authentication for users on all types of Hadoop clients (for example, web consoles and processes)?
  6. How can you ensure that rogue services don't impersonate real services (for example, rogue Task Trackers and tasks, unauthorized processes presenting block IDs to Data Nodes to get access to data blocks, and so on)?
  7. Can you tie in your organization's Lightweight Directory Access Protocol (LDAP) directory and user groups to Hadoop's permissions structure?
  8. Can you encrypt data in transit in Hadoop?
  9. Can your data be encrypted at rest on HDFS?
  10. How can you apply consistent security controls to your Hadoop cluster?
  11. What are the best practices for security in Hadoop today?
  12. Are there proposed changes to Hadoop's security model? What are they?

References

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