What is a spark standalone cluster?
Answer / Dhirendra Kumar Rathore
A Spark Standalone cluster is a deployment mode for Apache Spark that manages the allocation of resources among multiple applications. It consists of a master (Spark's cluster manager) and one or more worker nodes. The master node schedules tasks across available workers and monitors their status.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain about the different cluster managers in Apache Spark
What is Starvation scenario in spark streaming?
Explain SparkContext in Apache Spark?
Is dataframe immutable?
Can you define parquet file?
Is there an api for implementing graphs in spark?
What are benefits of Spark over MapReduce?
What is spark table?
Explain about the popular use cases of Apache Spark
How do we represent data in Spark?
What is "GraphX" in Spark?
What is the use of rdd in spark?
Apache Hadoop (394)
MapReduce (354)
Apache Hive (345)
Apache Pig (225)
Apache Spark (991)
Apache HBase (164)
Apache Flume (95)
Apache Impala (72)
Apache Cassandra (392)
Apache Mahout (35)
Apache Sqoop (82)
Apache ZooKeeper (65)
Apache Ambari (93)
Apache HCatalog (34)
Apache HDFS Hadoop Distributed File System (214)
Apache Kafka (189)
Apache Avro (26)
Apache Presto (15)
Apache Tajo (26)
Hadoop General (407)