ProjectPro

NOVEMBER 22, 2021

Furthermore, PySpark aids us in working with RDDs in the Python programming language. If a similar arrangement of data needs to be calculated again, RDDs can be efficiently reserved. It's more commonly used to alter data with functional programming structures than with domain-specific expressions. appName('ProjectPro').getOrCreate()

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

Confluent

APRIL 30, 2019

As you can see, while the Processor API provides more control and flexibility when constructing your topology, the Streams DSL encapsulates a lot of stream processing complexities in a functional programming interface. Its name is prefixed with the application ID of the Streams program and suffixed with the keyword repartition.

Kafka 89

Kafka Coding Process Bytes 89