These Apache Sqoop Interview Questions have been designed specially to get you acquainted with the nature of questions you may encounter during your interview for the subject of Apache Sqoop . As per my experience good interviewers hardly plan to ask any particular question during your interview, normally questions start with some basic concept...

Apache Hive interview questions span various facets of the platform, exploring topics essential for candidates to demonstrate their expertise in leveraging Hive for big data processing within the Hadoop ecosystem. Expectations typically include understanding Hive's architecture, its integration with Hadoop, and proficiency in HiveQL, the SQL-like...

Real-time data pipelines and streaming applications can be constructed with Apache Kafka, an open-source distributed event streaming platform. Initially created by LinkedIn, it was subsequently made available to the public as a component of the Apache Software Foundation. Applications can send and receive streams of records (messages or events)...

These hadoop Interview Questions have been designed specially to get you acquainted with the nature of questions you may encounter during your interview for the subject of Hadoop.during your interview,normally questions start with some basic concept of the subject and later they continue based on further discussion and what you answer.we are...

Apache Spark is an open-source cluster computing framework. Its primary purpose is to handle the real-time generated data.Spark was built on the top of the Hadoop MapReduce. It was optimized to run in memory whereas alternative approaches like Hadoop's MapReduce writes data to and from computer hard drives. So, Spark process the data much quicker...

Apache Oozie is the tool in which all sort of programs can be pipelined in a desired order to work in Hadoop’s distributed environment. Oozie also provides a mechanism to run the job at a given schedule. This tutorial explains the scheduler system to run and manage Hadoop jobs called Apache Oozie. It is tightly integrated with Hadoop stack...

Introduction to Big Data Big Data is a collection of large data sets that cannot be processed using standard computing techniques. It is not a simple technique or method but involves a lot of business and technology fields. The term ‘big data’ is self-explanatory − a collection of huge data sets that normal computing techniques cannot...

What is hadoop? Apache Hadoop ( /həˈduːp/) is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model....

PySpark is a powerful tool for big data processing, enabling scalable and efficient data analysis using Apache Spark and Python. It simplifies working with large datasets, providing a high-level API for distributed data processing and machine learning tasks. Ideal for data engineers and data scientists, PySpark accelerates data workflows and...

Hadoop and Spark are software frameworks from Apache Software Foundation that are used to manage ‘Big Data’. There is no particular threshold size which classifies data as “big data”, but in simple terms, it is a data set that is too high in volume, velocity or variety such that it cannot be stored and processed by a single computing...