For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
For Apache __________ users, Storm utilizes the same ODBC interface.
1.cTakes
2.Hive
3.Pig
4.Oozie
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Storm is benchmarked as processing one million _______ byte messages per second per node.
1.10
2.50
3.100
4.200
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Apache Storm added the open source, stream data processing to _________ Data Platform.
1.Cloudera
2.Hortonworks
3.Local Cloudera
4.MapR
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
Storm integrates with __________ via Apache Slider.
1.Scheduler
2.YARN
3. Compaction
4.All of the mentioned
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop
_____ is a distributed real-time computation system for processing large volumes of high-velocity data.
1.Kafka
2.Storm
3.Lucene
4.BigTop