Does Spark provide the storage layer too?
Answer / Km. Anamika Shrotriya
Yes, Apache Spark provides a storage layer through RDD (Resilient Distributed Datasets) and DataFrame/DataSets APIs. These data structures allow for persistent storage of data across multiple nodes in a distributed manner.
| Is This Answer Correct ? | 0 Yes | 0 No |
What are benefits of DataFrame in Spark?
What is difference between spark and scala?
What are common spark ecosystems?
Name three data source available in SparkSQL
What is a spark shuffle?
What is tungsten in spark?
What is a spark context?
How does broadcast join work in spark?
What is a parquet file?
Can rdd be shared between sparkcontexts?
What makes Apache Spark good at low-latency workloads like graph processing and machine learning?
Explain transformation and action in RDD in Apache 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)