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#1. What is the term for data that falls in between structured and unstructured data?
#2. Which technology is known for its in-memory processing capabilities for Big Data?
#3. Which language is commonly used for developing applications on the Hadoop platform?
#4. In a Hadoop ecosystem, which component is responsible for resource management and job scheduling?
#5. What type of analytics focuses on predicting future outcomes based on historical data?
#6. Which database type is optimized for handling complex relationships and querying graph-like data structures?
#7. What is the term for combining and summarizing data to create useful information?
#8. Which cloud platform provides services like Azure Data Lake Storage and Azure HDInsight for Big Data processing?
#9. What technique is used to replicate data across multiple nodes for fault tolerance?
#10. Which technology is commonly used for processing and analyzing large-scale data streams in real-time?
#11. What is the term for the process of extracting meaningful insights from data?
#12. Which cloud platform provides services like Google BigQuery and Dataflow for Big Data processing?
#13. What technique is used to distribute data across multiple nodes based on a certain key or attribute?
#14. Which technology is known for its ability to handle both batch and stream processing of data?
#15. In a Hadoop ecosystem, which component is responsible for querying and analyzing data using SQL-like language?
#16. What type of analytics focuses on providing recommendations and actions based on data analysis?
#17. Which database type is designed for storing, querying, and managing interconnected data elements?
#18. What is the term for the process of combining multiple datasets into a unified view for analysis?
#19. Which cloud platform provides services like IBM Db2 and Db2 Warehouse for Big Data processing?
#20. Which technique is used to join related data from multiple tables in a database?
