What is a significant challenge in implementing real-time processing in a Hadoop environment?
- Data Consistency
- Fault Tolerance
- Latency
- Scalability
A significant challenge in implementing real-time processing in a Hadoop environment is managing low latency. Real-time processing requires quick analysis and response to incoming data, and minimizing latency is crucial for meeting these requirements. Achieving low latency in Hadoop can be challenging due to the nature of distributed processing and data storage.
Loading...
Related Quiz
- In Scala, which library is commonly used for interacting with Hadoop and performing big data processing?
- In complex Hadoop applications, ____ is a technique used for isolating performance bottlenecks.
- The ____ in Apache Pig is used for sorting data in a dataset.
- ____ is the process in HBase that involves combining smaller files into larger ones for efficiency.
- What advanced technique is used to troubleshoot network bandwidth issues in a Hadoop cluster?