Big Data Processing with Spark | Big Data Processing using PySpark | Intellipaat

In this big data processing with spark video you will learn what is big data and spark, how spark is used for big data, what is hadoop and how it solves big data problem, what is mapreduce and live demo on analyzing a facebook dataset in detail.
#BigDataProcessingwithSpark #BigDataProcessingusingPyspark #BigDataProcessing #BigDataProcessingwithSpark #ApacheSparkwithBigData #BigDataTraining #ApacheSparkTraining #PySparkTraining #Intellipaat

👉Following topics are covered in this video:
00:00 - Big Data Processing with Spark
00:35 - Introduction to Big Data
07:21 - Hadoop - MapReduce and HDFS
08:00 - What is Hadoop and how it solves Big Data problem
11:28 - What is MapReduce
12:44 - HDFS Architecture
18:28 - Intro to Spark
25:10 - What is PySpark
25:20 - Doubts
26:25 - Live Workshop: Analyzing a Facebook dataset

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Got any questions about PySpark rdds? Ask us in the comment section below.
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Why PySpark is important?

This PySpark tutorial will show you how Python for spark has an elegant syntax, is easy to code, debug and run. You will learn PySpark is deployed across industry verticals by going through this video. The Intellipaat PySpark tutorial is easy to understand, has real world PySpark examples and thus makes you understand why PySpark is so important and why you should learn PySpark and go for a PySpark career.

Why should you opt for a PySpark career?

If you want to fast-track your career then you should strongly consider PySpark. The reason for this is that it is one of the fastest growing and widely used. There is a huge demand for PySpark programmers. The salaries for PySpark programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat PySpark tutorial is your stepping stone to a successful career!
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For more Information:

[Intellipaat]

Guys what else do you want to learn from Intellipaat? Comment down below and let us know so that we can create more such tutorials for you. 🙂

[ImaveriVEGA]

I really liked your explanation at the end of the video where you explain that at the beginning of the data analyst or data scientist jobs, knowing Spark is not a requirement. But currently in the interviews I have had, they have asked me for BigData as well as Airflow. And it happened to me that the technical cases to evaluate me required those skills. From making and automating ETL for extraction and analysis, ending with the presentation of the results using Tableau. I solved the exercise in my own way but I couldn't automate it and I didn't really understand how to approach the analysis and then do the visualization. Should I create a small data frame for each question I'm asked and run the analysis on the entire data frame in the cloud or should I do evaluations on segments of the big data?

[vsmanikanta]

Please upload video on Databricks related videos on Big data processing with PySpark, Thank you

[klklklklkloo]

Please answer these questions
1)code vs program
1)programming vs coding
3)what is source code and object code
4)coder vs programmer

[johnny_silverhand]

usually i hate indian explnations but this video is an exception and very clear... great job dude

[sayandas]

Can we process unstructured data in the same format

[yuddhveersingh]

Can u please provide a proper roadmap to learn data science from a zero level please

[minupoulose]

Please share the code for the workshop

[WorldwideCricketLove]

How to process or convert unstructured data into structured data using pyspark?

[rajdeepsinghborana]

provide us knowledge about Big Data Processing with Spark SCALA 👨🏻‍💻