Advanced MapReduce jobs often require ____ to manage complex data dependencies and transformations.
- Apache Flink
- Apache HBase
- Apache Hive
- Apache Spark
Advanced MapReduce jobs often require Apache Spark to manage complex data dependencies and transformations. Apache Spark provides in-memory processing and a rich set of APIs, making it suitable for iterative algorithms, machine learning, and advanced analytics on large datasets.
Loading...
Related Quiz
- What mechanism does MapReduce use to optimize the processing of large datasets?
- For advanced data processing in Hadoop using Java, the ____ API provides more flexibility than traditional MapReduce.
- To handle large-scale data processing, Hadoop clusters are often scaled ____.
- Advanced Hadoop administration involves the use of ____ for securing data transfers within the cluster.
- How can a Hadoop administrator identify and handle a 'Small Files Problem'?