Mastering Apache Spark 3.5 | Learn RDD and DataFrame with Examples
Author: Naveen Nelamali (SparkByExamples.com)
Apache Spark equips you with valuable skills in big data processing, analytics, and machine learning, opening up opportunities for career growth and advancement in the rapidly expanding field of data science and analytics.
In recent days, there has been a high demand for professionals who can efficiently process and analyze large-scale datasets. Apache Spark is widely used in industries such as finance, healthcare, e-commerce, and technology, making Spark skills highly sought after by employers.
Apache Spark is a versatile framework that supports a wide range of data processing tasks, including batch processing, real-time streaming analytics, machine learning, and graph processing. By learning Spark, you gain expertise in a framework that can address diverse data processing needs, increasing your marketability.
What is Apache Spark?
FREE PREVIEWApache Spark Features & Advantages
FREE PREVIEWApache Spark Architecture
FREE PREVIEWSpark Ecosystem Overview
FREE PREVIEWUse Cases and Applications of Spark
Apache Spark vs MapReduce
Install Spark on Mac
FREE PREVIEWInstall Spark on Windows
FREE PREVIEWInstall Spark on Linux Ubuntu
Run Spark from IntelliJ
FREE PREVIEWRun Spark Simple Program from GitHub Project
What is SparkSession
FREE PREVIEWCreating SparkSession
FREE PREVIEWSparkSession Most Used Methods
What is Spark Context?
FREE PREVIEWWhat does SparkContext do?
SparkContext Most Used Methods
FAQ's or Interview Questions
FREE PREVIEWRDD - Introduction
RDD - Create RDD from Parallelize
RDD - Collect Data from RDD
RDD - Read Text Files
RDD - How to Parallelize RDD?
RDD - Transformations
RDD - Actions
RDD - Word Count Example
RDD - Repartition
RDD - Types of RDD
Cache and Persistence
Spark Persistence Levels
Broadcast Shared Variable
Accumulator Shared Variable
RDD Learning Next Steps
What is DataFrame?
How DataFrame differ from RDD
Creating a DataFrame
DataFrame Transformations
DataFrame Actions
What my learners are saying
Its a good Course , would like to know more about spark
Its a good Course , would like to know more about spark
Read Lessvery well prepared material, everything clearly explained, the best course I have found on apache-spark
very well prepared material, everything clearly explained, the best course I have found on apache-spark
Read LessThe Apache Spark tutorial provides a clear and well-structured introduction to Spark's fundamental concepts. It effectively combines theory with practical RDD examples, making it accessible for both beginners and intermediate users. Looking forwar...
Read MoreThe Apache Spark tutorial provides a clear and well-structured introduction to Spark's fundamental concepts. It effectively combines theory with practical RDD examples, making it accessible for both beginners and intermediate users. Looking forward course in Spark SQL and DataFrame API.
Read LessIt's useful for both working and non-working group and help them gain the insights in brief about the hadoop and apache spark, can take this as an base to dig deep into the big data technologies.
It's useful for both working and non-working group and help them gain the insights in brief about the hadoop and apache spark, can take this as an base to dig deep into the big data technologies.
Read LessThis course is a good introduction to Apache Spark for a beginner. As a beginner, it can be difficult to set up the appropriate environment to practice. I found the section on "Setting Up Apache Spark" assisting in this regard. The 2 eaxamples of ...
Read MoreThis course is a good introduction to Apache Spark for a beginner. As a beginner, it can be difficult to set up the appropriate environment to practice. I found the section on "Setting Up Apache Spark" assisting in this regard. The 2 eaxamples of how to run a Spark application are a Maven build. It will be interesting to also see a similar process using sbt.
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