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What does COSHH stand for?
COSHH stands for Classification and Optimization based Schedule for Heterogeneous Hadoop systems. It lets you schedule tasks at both application and cluster levels to save on task completion time.
COSHH stands for Classification and Optimization based Schedule for Heterogeneous Hadoop systems. It lets you schedule tasks at both application and cluster levels to save on task completion time.
See lessDescribe the attributes of Hadoop
The following are key attributes of Hadoop: Open-source, freeware framework Compatible with a wide range of hardware to simplify access to new hardware inside a given node Enables faster-distributed data processing Stores data in the cluster, separate from the other operations. Allows the creation oRead more
The following are key attributes of Hadoop:
- Open-source, freeware framework
- Compatible with a wide range of hardware to simplify access to new hardware inside a given node
- Enables faster-distributed data processing
- Stores data in the cluster, separate from the other operations.
- Allows the creation of three replicas for each block using various nodes.
See lessWhat happens when Block Scanner finds a faulty data block?
First, DataNode alerts NameNode. Then, NameNode creates a new replica using the corrupted block as a starting point. The goal is to align the replication factor with the replication count of the proper replicas. If a match is discovered, the corrupted data block won't be removed.
First, DataNode alerts NameNode. Then, NameNode creates a new replica using the corrupted block as a starting point.
The goal is to align the replication factor with the replication count of the proper replicas. If a match is discovered, the corrupted data block won’t be removed.
See lessExplain HDFS’s Block and Block Scanner.
A block is the smallest data file component. Hadoop automatically divides large files into small workable segments. On the flip side, the Block Scanner verifies a DataNode's list of blocks.
A block is the smallest data file component. Hadoop automatically divides large files into small workable segments. On the flip side, the Block Scanner verifies a DataNode’s list of blocks.
See lessExpand on HDFS.
HDFS stands for Hadoop Distributed File System. This file system handles extensive data collection and runs on commodity hardware, i.e., inexpensive computer systems.
HDFS stands for Hadoop Distributed File System. This file system handles extensive data collection and runs on commodity hardware, i.e., inexpensive computer systems.
See lessDescribe streaming in Hadoop.
Streaming enables the construction of maps and reduces jobs and the submission of those jobs to a particular cluster.
Streaming enables the construction of maps and reduces jobs and the submission of those jobs to a particular cluster.
See lessDescribe NameNode.
NameNode serves as the HDFS (Hadoop Data File System) main hub. It keeps track of different files across clusters and maintains HDFS data. However, NameNode does not store the actual data — DataNodes store it.
NameNode serves as the HDFS (Hadoop Data File System) main hub. It keeps track of different files across clusters and maintains HDFS data. However, NameNode does not store the actual data — DataNodes store it.
See lessExplain data engineering.
Data engineering is the process of building, testing, and maintaining database structures to analyze data on a large scale. Data engineering helps to turn this unstructured data into usable business insights.
Data engineering is the process of building, testing, and maintaining database structures to analyze data on a large scale. Data engineering helps to turn this unstructured data into usable business insights.
See lessHow does data modeling work?
Data modeling is a technique for making complex software architecture accessible. Conceptual illustrations show the connections between distinct data objects and the rules.
Data modeling is a technique for making complex software architecture accessible. Conceptual illustrations show the connections between distinct data objects and the rules.
See lessCan you name parameters that give out the efficiency of automation testing?
We can use the following for assessing the efficiency of automation testing: Defect detection ratio. Execution time. Time is taken to release the product. The degree of labor and cost reduction.
We can use the following for assessing the efficiency of automation testing:
- Defect detection ratio.
- Execution time.
- Time is taken to release the product.
- The degree of labor and cost reduction.
See less