Can you define parquet file?
Answer / Neeraj Kasyap
Apache Parquet is a columnar storage format optimized for use with big data processing systems like Apache Spark and Hive. It provides efficient compression, fast read/write performance, and supports schema evolution. Parquet files are self-describing, meaning that the metadata about the schema and data types of columns is stored within the file itself.
| Is This Answer Correct ? | 0 Yes | 0 No |
Is spark good for machine learning?
Why is spark good?
Can you define rdd?
Explain about the common workflow of a Spark program?
Does spark use zookeeper?
What does rdd stand for in logistics?
What is mlib in apache spark?
Explain distnct(),union(),intersection() and substract() transformation in Spark?
Is a distributed machine learning framework on top of spark?
What is apache spark architecture?
How is Apache Spark better than Hadoop?
Explain the difference between Spark SQL and Hive.
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)