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Spark DataFrame Tutorial | Creating DataFrames In Spark | Apache Spark Tutorial | Edureka
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This Edureka video on "DataFrames in Spark" will provide you detailed knowledge of DataFrames. You can learn the Features and practical implementation of DataFrames by a real-time use case. The topics covered in this video are:
What are DataFrames in Spark?
Why do we need DataFrames?
Features of DataFrames in Spark
Sources for Spark DataFrames
Creation of DataFrames in Spark
DataFrames in Spark: Game of Thrones Use Case
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#edureka #edurekaspark #apachespark #sparktutorial #sparkdataframes
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About the course
Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination.
You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, DataFrames, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This course is an integral part of a Big Data Developer’s Career path. It will also encompass the fundamental concepts such as data capturing using Flume, data loading using Sqoop, a messaging system like Kafka, etc.
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Why should you go for Online Spark Training?
Spark is one of the most growing and widely used tools for Big Data & Analytics. It has been adopted by multiple companies falling into various domains around the globe and therefore, offers promising career opportunities. In order to take part in this kind of opportunities, you need a structured training that is aligned as per Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices.
Besides strong theoretical understanding, it is quite essential to have a strong hands-on experience. Hence, during the Edureka’s Spark and Scala course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of the solution strategy.
Additionally, all your doubts will be addressed by the industry professional, currently working on real-life big data and analytics projects.
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There are no such prerequisites for Edureka’s Spark Training Course. However, prior knowledge of Big-Data Hadoop and SQL will be helpful but is not at all mandatory.
--------------------------------------------------------------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
What are DataFrames in Spark?
Why do we need DataFrames?
Features of DataFrames in Spark
Sources for Spark DataFrames
Creation of DataFrames in Spark
DataFrames in Spark: Game of Thrones Use Case
--------------------------------------------------------------------------------------
#edureka #edurekaspark #apachespark #sparktutorial #sparkdataframes
----------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------
About the course
Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination.
You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, DataFrames, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This course is an integral part of a Big Data Developer’s Career path. It will also encompass the fundamental concepts such as data capturing using Flume, data loading using Sqoop, a messaging system like Kafka, etc.
--------------------------------------------------------------------------------------
Why should you go for Online Spark Training?
Spark is one of the most growing and widely used tools for Big Data & Analytics. It has been adopted by multiple companies falling into various domains around the globe and therefore, offers promising career opportunities. In order to take part in this kind of opportunities, you need a structured training that is aligned as per Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices.
Besides strong theoretical understanding, it is quite essential to have a strong hands-on experience. Hence, during the Edureka’s Spark and Scala course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of the solution strategy.
Additionally, all your doubts will be addressed by the industry professional, currently working on real-life big data and analytics projects.
--------------------------------------------------------------------------------------
There are no such prerequisites for Edureka’s Spark Training Course. However, prior knowledge of Big-Data Hadoop and SQL will be helpful but is not at all mandatory.
--------------------------------------------------------------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
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