In PySpark, a DataFrame is a distributed collection of data organized into named columns, similar to a table in a relational database or an Excel spreadsheet. DataFrames provide a powerful abstraction for working with structured data, offering ease of use, high-level transformations, and optimization features like catalyst and Tungsten. This article will cover how to […]
Category: Big Data
IBM says if any data can be characterized or classified by these 3 v’s (Volume, Variety and Velocity) then it is called as Big Data.
Volume : Scale of Data.
Variety : Different forms of data.
Velocity : Speed at which new data is generated.
PySpark | How to Create a RDD?
Resilient Distributed Datasets (RDDs) are the core abstraction in PySpark, offering fault-tolerant, distributed data structures that can be operated on in parallel. Although the DataFrame API is more popular due to its higher-level abstractions, RDDs are still fundamental for certain low-level operations and are the building blocks of PySpark.
In this article, you’ll learn how to create RDDs in PySpark, the different ways to create them, and when you should use RDDs over DataFrames.
Accenture | Azure Data Engineer Interview Questions – Set 1
In this article, we will see the list of questions asked in Accenture Company Interview for Azure Data Engineers.
Let’s see the Questions:
PySpark | How to Create a Spark Session?
Creating a Spark session is the first step when working with PySpark, as it allows you to interact with Spark’s core functionality. This article will walk you through the process of creating a Spark session in PySpark.
PySpark | How to setup PySpark on a Windows Machine?
In this post, we will extend that setup to include PySpark, allowing you to work with Spark using Python. Let’s dive into the steps to get PySpark running on your Windows machine!
Spark | How to setup Apache Spark on a Windows Machine?
Setting up Apache Spark on a Windows machine can be a straightforward process if you follow the right steps. This guide will walk you through installing Java, configuring environment variables, downloading and setting up Spark, and finally running Spark on your Windows system. Let’s get started!
Wipro | Big Data Engineer Interview Questions – Set 1
In this article, we will see the list of questions asked in Wipro Company Interview for Data Engineers.
Let’s see the Questions:
1) Describe the concept of imputations (handling missing data) in Spark.
AWS GLUE | Data Engineer Interview Questions
In this article, we’ll explore a list of AWS Glue interview questions commonly asked to candidates with 3+ years of experience. Let’s see the Questions.
EY | Big Data Engineer Interview Questions
In this article, we will see the list of questions asked in EY Company Interview for 2+ year of experience candidate in big data field.
Big Data Engineer Interview Questions
Preparing for an interview in the Big Data field can be challenging, given the diverse range of technologies and methodologies involved. To help you excel in your career, I’ve compiled an extensive collection of Big Data interview questions asked by different companies in the industry