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Master how to work with big data and build machine learning models at scale using Spark.

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Reddit Posts and Comments

0 posts • 4 mentions • top 2 shown below

r/learnprogramming • comment
1 points • aleebit

https://www.udacity.com/course/learn-spark-at-udacity--ud2002

r/dataengineering • comment
1 points • SatoriSlu

Hi,

I'd be happy to. I'm new to the world of Big Data so this is my current plan of action over the next 10 days.

I am honestly surprised that this role (AN SRE ROLE not Data Engineer) is asking me to review these concepts...but here I am!

1) Today: Go through the Linux Academy course: Big Data Essentials, just to get a high level overview of the field and what the different tools do.

- https://linuxacademy.com/course/big-data-essentials/

2) Fri - Sat: Brush up on my SQL using
- https://app.dataquest.io/course/sql-fundamentals

- https://app.dataquest.io/course/sql-joins-relations-de

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3) Sun- Tues--> Tackle Apache Spark using these resources:

- https://www.dataquest.io/course/spark-map-reduce/

- https://www.udacity.com/course/learn-spark-at-udacity--ud2002

- I MAY purchase this course (https://www.udemy.com/course/spark-and-python-for-big-data-with-pyspark/)

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3) Wens - Thurs: Hive, I haven't found too much here, just this I would appreciate any help from the community on finding resources/labs to learn this.

- https://www.guru99.com/hive-tutorials.html

4) Fri - Sun: Kafka

- https://linuxacademy.com/cp/modules/view/id/360?redirect_uri=https://app.linuxacademy.com/search?query=Kafka

Please let me know what you guys think!