Spark SQL Tutorial | Spark Tutorial for Beginners | Apache Spark Training | Edureka

00:53 Limitations of Apache Hive
02:33 Spark SQL Advantages Over Hive
07:17 Spark SQL Success Story
08:49 Spark SQL Features
12:36 Architecture of Spark SQL
15:06 Spark SQL Libraries
17:40 Querying Using Spark SQL
33:13 Demo: Stock Market Analysis With Spark SQL

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How it Works?

1. This is a 4 Week Instructor led Online Course, 32 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course

This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, SparkSQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path.

After completing the Apache Spark and Scala training, you will be able to:

1) Understand Scala and its implementation
2) Master the concepts of Traits and OOPS in Scala programming
3) Install Spark and implement Spark operations on Spark Shell
4) Understand the role of Spark RDD
5) Implement Spark applications on YARN (Hadoop)
6) Learn Spark Streaming API
7) Implement machine learning algorithms in Spark MLlib API
8) Analyze Hive and Spark SQL architecture
9) Understand Spark GraphX API and implement graph algorithms
10) Implement Broadcast variable and Accumulators for performance tuning
11) Spark Real-time Projects

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Who should go for this Course?

This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for:

1. Big Data enthusiasts
2. Software Architects, Engineers and Developers
3. Data Scientists and Analytics professionals

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Why learn Apache Spark?

In this era of ever growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightening fast big data analysis platforms.
The following Edureka blogs will help you understand the significance of Spark training:

Customer Review:

Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! Edureka lets you go back later, when your boss says "I want this ASAP!" ~ This is the killer education app... I've taken two courses, and I'm taking two more.”

[sumitpatange]

I really liked your earlier video on introduction on Apache spark, but somehow this video is too fast paced for me, I didn't get much from this one.

[matthewfeeley]

Thankyou for sharing your expertise, much appreciated.

[zeeshanabbas]

Great tutorial to start with Spark SQL. Thanks for the video.
Spark Table, Temp Table, View or Temp View stores in memory or disk ? please answer?

[subhajitroy]

Appreciate the effort and thanks to Edureka for sharing the same. Have a question: In order to query, why temporary table/view was created? Is it optional or mandatory? Would like to understand the significance/reason behind bringing the same in this context. Thanks !

[sarathchandra]

Hi Edureka, Great tutorial to start with Spark. Thanks for the video.
Is it possible to share the data used in the tutorials in your blog ??

[safiahmed]

Hi Edureka. You are doing a great job! Please Upload a video on Spark Mlib

[lakshmibhargavi]

Hi edureka team, Thank you so much for the practical tutorial.
I am a beginner in this concept and I came to learn a lot through this. Can you please let me know if there is any video that is related to "using SparkSQL in batch processing"? .
The above video states step by step execution, Can we write the entire code in a batch and run it. if so can you please let me know how to do it.

[girmacentralbiz]

can spark sql take data from OLEDB and Excel source ?

[abhipsapatra]

great video..could you please share your previous videos link?