Scala Tutorial 45 | Collect Function In Scala | Spark Tutorial | Data Engineering | Data Analytics

In this video, I have discussed about Collect function in Scala.

Hello viewers my name is Santosh Sah and welcome to my YouTube channel.

This video is for beginners as well experienced data engineers. It has Databricks Notebook which explains various concepts of data processing. It will help data engineers who are beginners as well as experienced to do data engineering with spark, Scala and Databricks. It will help data analyst to do data analysis with spark, Scala and Databricks. If you want to learn data analytics then it will help to do data analytics with spark, Scala and Databricks.

This video is a part of playlist, which can be considered as spark complete course for beginners , Scala full course , Scala complete playlist for beginners , data engineering complete course for beginners , data analysis complete course for beginners , data analytics complete course for beginners , big data analytics complete course , Spark tutorial for beginners , Scala tutorial for beginners

queries solved:

How to do data engineering using Spark ?
How to do data analysis using Spark ?
How to do data analytics using Spark ?
How to do big data analytics using Spark ?
How to do data engineering using Databricks ?
How to do data analysis using Databricks ?
How to do data analytics using Databricks ?
How to do big data analytics using Databricks ?
How to do data engineering using Scala ?
How to do data analysis using Scala ?
How to do data analytics using Scala ?
How to do big data analytics using Scala ?
What is Collect Function In Scala ?
How to use Collect Function In Scala ?

Apache Spark is a open source computational engine which is used to process huge sets of data in parallel and batch systems. It uses in-memory caching to process structured, semi-structured and unstructured data. It optimizes the query execution plan for fast analytics against any size of data. It supports various programming languages such as Java, R, Scala, Python etc. by providing development APIs. It supports multiple workloads such as batch processing, real-time analytics interactive queries, graph processing and machine learning. Most of the companies are preferred Apache spark for big data analytics.

Scala is a general purpose, high level as well as multi-paradigm programming language. It object oriented programming language and supports functional programming approach as well. It runs on JVM (Java Virtual Machin) converting Scala program to bytecodes.

My others Videos -
Scala Tutorial

PySpark Tutorial

Spark SQL Tutorial

My Social Media -

#sahustudies
#spark
#scala
#databricks
#dataengineering
#dataengineeringessentials
#bigdata
#bigdatatechnologies
#dataanalytics
#dataanalysis