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Apache Spark architecture includes a cluster manager, worker nodes, and driver program.
Apache Spark architecture consists of a cluster manager, which allocates resources and schedules tasks.
Worker nodes execute tasks and store data in memory or disk.
Driver program coordinates tasks and communicates with the cluster manager.
Spark applications run as independent sets of processes on a cluster, coordinated by the SparkCon...
reduceBy is used to aggregate data based on key, while groupBy is used to group data based on key.
reduceBy is a transformation that combines the values of each key using an associative function and a neutral 'zero value'.
groupBy is a transformation that groups the data based on a key and returns a grouped data set.
reduceBy is more efficient for aggregating data as it reduces the data before shuffling, while groupBy shu...
RDD is a low-level abstraction representing a distributed collection of objects, while DataFrame is a higher-level abstraction representing a distributed collection of data organized into named columns.
RDD is more suitable for unstructured data and low-level transformations, while DataFrame is more suitable for structured data and high-level abstractions.
DataFrames provide optimizations like query optimization and code...
The different modes of execution in Apache Spark include local mode, standalone mode, YARN mode, and Mesos mode.
Local mode: Spark runs on a single machine with one executor.
Standalone mode: Spark runs on a cluster managed by a standalone cluster manager.
YARN mode: Spark runs on a Hadoop cluster using YARN as the resource manager.
Mesos mode: Spark runs on a Mesos cluster with Mesos as the resource manager.
PySpark is a Python API for Apache Spark, used for big data processing and analytics.
PySpark is a Python API for Apache Spark, a fast and general-purpose cluster computing system.
It allows for easy integration with Python libraries and provides high-level APIs in Python.
PySpark can be used for processing large datasets, machine learning, real-time data streaming, and more.
It supports various data sources such as HDFS, ...
PySpark is a Python API for Apache Spark, while Python is a general-purpose programming language.
PySpark is specifically designed for big data processing using Spark, while Python is a versatile programming language used for various applications.
PySpark allows for distributed computing and parallel processing, while Python is primarily used for sequential programming.
PySpark provides libraries and tools for working wit...
WITH clause in SQL is used to create temporary named result sets that can be referenced within the main query.
WITH clause is used to improve the readability and maintainability of complex SQL queries.
It allows creating subqueries or common table expressions (CTEs) that can be referenced multiple times.
The result sets created using WITH clause can be used for recursive queries, data transformation, or simplifying comple...
What people are saying about Virtusa Consulting Services
I applied via campus placement at CMR Institute of Technology, Bangalore and was interviewed before Jan 2022. There were 2 interview rounds.
Coding Test and Web Development
I have worked on various projects involving data engineering, including building data pipelines and optimizing data storage.
Built a data pipeline using Apache Kafka and Apache Spark to process and analyze real-time streaming data.
Optimized data storage by implementing data partitioning and indexing techniques in a large-scale data warehouse.
Developed ETL processes to extract data from various sources, transform it, and...
I am a data engineer with experience in designing and implementing data pipelines for large-scale projects.
Experienced in building and optimizing data pipelines using tools like Apache Spark and Hadoop
Proficient in programming languages like Python and SQL
Skilled in data modeling and database design
Familiar with cloud platforms like AWS and GCP
Strong problem-solving and analytical skills
Effective communicator and team
Virtusa Consulting Services interview questions for designations
I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.
I applied via Campus Placement and was interviewed in Oct 2024. There was 1 interview round.
Use regular expression to remove special characters from a string
Use the regex pattern [^a-zA-Z0-9\s] to match any character that is not a letter, digit, or whitespace
Use the replace() function in your programming language to replace the matched special characters with an empty string
Example: input string 'Hello! How are you?' will become 'Hello How are you' after removing special characters
I applied via Job Portal and was interviewed in Aug 2024. There were 3 interview rounds.
Its mandatory test even for experience people
The question is about a Pyspark problem.
Use SparkSession to create a Spark application
Load data from a source like CSV or Parquet files
Perform transformations and actions on the data using PySpark functions
Optimize performance by using caching and partitioning
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