[LEGACY–SUPPORT END] Spark SQL & Hadoop (For Data Science)

Learn HDFS commands, Hadoop, Spark SQL, SQL Queries, ETL & Data Analysis| Spark Hadoop Cluster VM | Fully Solved Qs
4.42 (73 reviews)
Udemy
platform
English
language
Data Science
category
Matthew Barr
instructor
[LEGACY–SUPPORT END] Spark SQL & Hadoop (For Data Science)
5,574
students
5.5 hours
content
Sep 2024
last update
$64.99
regular price

What you will learn

Students will get hands-on experience working in a Spark Hadoop environment that’s free and downloadable as part of this course.

Students will have opportunities solve Data Engineering and Data Analysis Problems using Spark on a Hadoop cluster in the sandbox environment that comes as part

Issuing HDFS commands.

Converting a set of data values in a given format stored in HDFS into new data values or a new data format and writing them into HDFS.

Loading data from HDFS for use in Spark applications & writing the results back into HDFS using Spark.

Reading and writing files in a variety of file formats.

Performing standard extract, transform, load (ETL) processes on data using the Spark API.

Using metastore tables as an input source or an output sink for Spark applications.

Applying the understanding of the fundamentals of querying datasets in Spark.

Filtering data using Spark.

Writing queries that calculate aggregate statistics.

Joining disparate datasets using Spark.

Producing ranked or sorted data.

Screenshots

[LEGACY–SUPPORT END] Spark SQL & Hadoop (For Data Science) - Screenshot_01[LEGACY–SUPPORT END] Spark SQL & Hadoop (For Data Science) - Screenshot_02[LEGACY–SUPPORT END] Spark SQL & Hadoop (For Data Science) - Screenshot_03[LEGACY–SUPPORT END] Spark SQL & Hadoop (For Data Science) - Screenshot_04
Related Topics
4104862
udemy ID
6/6/2021
course created date
12/23/2021
course indexed date
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