Best Sellers in “Spark SQL Projects”

Data processing with Spark SQL

In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.

• Spark SQL
• Defining the dataframe schema
• Saving final result in different formats
• Setting up the spark SQL thrift server
• Performance tuning
• and more...

Data processing with Spark SQL

In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.

Explore features of Spark SQL in practice on Spark 2.0

The goal of this spark project for students is to explore the features of Spark SQL in practice on the latest version of Spark i.e. Spark 2.0.

• What is Spark SQL
• Why you should think Spark SQL before Spark Core
• When you are going to have to use Spark Core
• Spark SQL and multiple file types: Text File, JSON File, RDBMS Sources, NoSQL Sources
• Spark SQL for SQL-on-Hadoop server
• and more...

Explore features of Spark SQL in practice on Spark 2.0

The goal of this spark project for students is to explore the features of Spark SQL in practice on the latest version of Spark i.e. Spark 2.0.

Yelp Data Processing Using Spark And Hive Part 1

In this big data project, we will continue from a previous hive project "Data engineering on Yelp Datasets using Hadoop tools" and do the entire data processing using spark.

• Doing data processing using Spark
• Normalizing and denormalizing dataset into hive tables
• Various ways of integrating Hive and Spark
• Various complex data structures in Hive through spark
• Exporting some of the processed datasets to RDBMS

Yelp Data Processing Using Spark And Hive Part 1

In this big data project, we will continue from a previous hive project "Data engineering on Yelp Datasets using Hadoop tools" and do the entire data processing using spark.

Building a Data Warehouse using Spark on Hive

In this hive project , we will build a Hive data warehouse from a raw dataset stored in HDFS and present the data in a relational structure so that querying the data will be natural.

• • How to run hive queries on Spark
• • Hadoop data warehousing with Hive
• • Using the interactive Scala Build Tool (sbt) with Spark
• • Data serialization with kryo serialization example
• • Performance optimization using caching.
• and more...

Building a Data Warehouse using Spark on Hive

In this hive project , we will build a Hive data warehouse from a raw dataset stored in HDFS and present the data in a relational structure so that querying the data will be natural.

Data Analysis and Visualisation using Spark and Zeppelin

In this big data project, we will talk about Apache Zeppelin. We will write code, write notes, build charts and share all in one single data analytics environment using Hive, Spark and Pig.

• Apache Zeppelin: What it is and how it works
• Installing Zeppelin interpreters
• Running Spark, Hive and Pig code on your notebook
• Writing markdown notes or narrative text.
• Collaboration or Sharing your book with others
• and more...

Data Analysis and Visualisation using Spark and Zeppelin

In this big data project, we will talk about Apache Zeppelin. We will write code, write notes, build charts and share all in one single data analytics environment using Hive, Spark and Pig.

Who should enroll for Spark SQL Projects ?

• These spark projects are for students who want to gain thorough understanding of the Spark SQL components in the Apache Spark Ecosystem.
• Software Architects, Developers and Big Data Engineers who want to understand the real-time applications of Apache Spark in the industry.

Key Learning’s from DeZyre’s Apache Spark SQL Projects

• Master Spark SQL using Scala for big data with lots of real-world examples by working on these apache spark project ideas.
• Master the art of writing SQL queries using Spark SQL.
• Gain hands-on knowledge exploring, running and deploying Apache Spark applications using Spark SQL and other components of the Spark Ecosystem.

 What will you get when you enroll for Spark SQL  projects?

• Spark SQL Project Source Code: Examine and implement end-to-end real-world apache spark projects using big data from the Banking, Finance, Retail, eCommerce, and Entertainment sector using the source code.
• Recorded Demo: Watch a video explanation on how to execute these Spark SQL projects for practice.
• Complete Solution Kit: Get access to the big data solution design, documents, and supporting reference material, if any for every spark SQL project use case.
• Mentor Support: Get your technical questions answered with mentorship from the best industry experts for a nominal fee.
• Hands-On Knowledge: Equip yourself with practical skills on Spark SQL component in the spark ecosystem.