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Default Big Data Analysis with Apache Spark PySpark Hands on Python - 09-01-2019, 03:55 AM

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Big Data Analysis with Apache Spark PySpark: Hands on Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6.5 Hours | Lec: 62 | 1.42 GB
Genre: eLearning | Language: English


Learn to analyse batch, streaming data with Data Frame of Apache Spark Python and PySpark
Welcome to the Apache Spark : PySpark Course.
Have you ever thought about How big company like Google, Microsoft, Facebook, Apple or Amazon Process Petabytes of data on thousands of machine.
This course starting point to learn about in memory big data analysis tool Apache Spark.
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What previous students have said:
"Very good introduction. Ideal for beginners to obtain a big picture as a starting point. The course should be further developed and supplemented with further practical examples. But overall I would highly recommend."
"I like the pace at which the instructor is going. I like the fact that he quickly dives into the practical. For me, this helps to put subsequent learning into perspective. He tends to have quite a few typos, but I can overlook those and still give him a 5 star rating. I am still quite early in the. Hope to update my review as I go along."
"Great course, knowledgeable author."
"Curso excelente para quem deseja aprender sobre Big Data e Spache Spark com PySpark."

Apache Spark can perform up to 100x faster than Hadoop MapReduce Data processing framework, Which makes apache spark one of most demanded skills.
The top companies like Google, Facebook, Microsoft, Amazon, Airbnb using Apache Spark to solve their big data problems!. Data analysis, on huge amount of data is one of the most valuable skills now a days and This course will teach such kind of skills to complete in big data job market.
This course will teach
Introduction to big data and Apache spark
Getting started with databricks
Detailed installation step on ubuntu - linux machine
Python Refresh for newbie
Apache spark Dataframe API
Apache spark structured streaming with end to end example
Basics of Machine Learning and feature engineering with Apache spark.
This course is not complete, will be adding new content related to Spark ML.
Note : This course will teach only Spark 2.0 Dataframe based API only not RDD based API. As Dataframe based API is the future of spark.







Code:
Uploadgig https://uploadgig.com/file/download/fe6838bdfE018bc8/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part1.rar https://uploadgig.com/file/download/aD3A0126974f92c9/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part2.rar https://uploadgig.com/file/download/58d000470884dc9E/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part3.rar https://uploadgig.com/file/download/5D113426a71f745f/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part4.rar Rapidgator https://rapidgator.net/file/13e2e6360ede1611eff155cef3d7a729/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part1.rar https://rapidgator.net/file/dcae2ec66f56cf638cf94289c1f8489e/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part2.rar https://rapidgator.net/file/0315c8696a5ccd7586138839e1b505a6/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part3.rar https://rapidgator.net/file/3c07827225ec79c2c3a2bb67b7d86d5e/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part4.rar NitroFlare http://nitroflare.com/view/8C970D97449C6DE/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part1.rar http://nitroflare.com/view/8B590DF84D38E87/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part2.rar http://nitroflare.com/view/D9A75998F4C195D/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part3.rar http://nitroflare.com/view/C7B5D6A554FA502/pfjrw.Big.Data.Analysis.with.Apache.Spark.PySpark.Hands.on.Python.part4.rar
   
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