Solved end-to-end Apache Hadoop Projects

Solved
end-to-end
Apache Hadoop Projects

Get ready to use Apache Hadoop Projects for solving real-world business problems

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Apache Hadoop Projects

 

In this Databricks Azure tutorial project, you will use Spark Sql to analyse the movielens dataset to provide movie recommendations. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.

Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.

Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.

Bitcoin Mining on AWS - Learn how to use AWS Cloud for building a data pipeline and analysing bitcoin data.

In this hive project, you will design a data warehouse for e-commerce environments.

In this hadoop project, learn about the features in Hive that allow us to perform analytical queries over large datasets.

Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark.

In this hadoop project, we are going to be continuing the series on data engineering by discussing and implementing various ways to solve the hadoop small file problem.

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

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.

In this big data project, we will embark on real-time data collection and aggregation from a simulated real-time system using Spark Streaming.

The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval.

Hadoop Project- Perform basic big data analysis on airline dataset using big data tools -Pig, Hive and Impala.

In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.

Explore hive usage efficiently in this hadoop hive project using various file formats such as JSON, CSV, ORC, AVRO and compare their relative performances

Analyze clickstream data of a website using Hadoop Hive to increase sales by optimizing every aspect of the customer experience on the website from the first mouse click to the last.

In this hive project, you will work on denormalizing the JSON data and create HIVE scripts with ORC file format.

In this big data project, we will discover songs for those artists that are associated with the different cultures across the globe.

In this NoSQL project, we will use two NoSQL databases(HBase and MongoDB) to store Yelp business attributes and learn how to retrieve this data for processing or query.

The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture. 

Learn to write a Hadoop Hive Program for real-time querying.

In this big data project, we will look at how to mine and make sense of connections in a simple way by building a Spark GraphX Algorithm and a Network Crawler.

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.

In this big data project, we'll work through a real-world scenario using the Cortana Intelligence Suite tools, including the Microsoft Azure Portal, PowerShell, and Visual Studio.

In this project, we will walk through all the various classes of NoSQL database and try to establish where they are the best fit.

In this big data project, we will be performing an OLAP cube design using AdventureWorks database. The deliverable for this session will be to design a cube, build and implement it using Kylin, query the cube and even connect familiar tools (like Excel) with our new cube.

In this project, we will take a look at three different SQL-on-Hadoop engines - Hive, Phoenix, Impala and Presto.

In this project, we will evaluate and demonstrate how to handle unstructured data using Spark.

In this project, we will look at two database platforms - MongoDB and Cassandra and look at the philosophical difference in how these databases work and perform analytical queries.

In this project, we will show how to build an ETL pipeline on streaming datasets using Kafka.

Hadoop Projects

Professionals and students who complete learning Hadoop from ProjectPro often ask our industry experts –

“How and where can I get projects in Hadoop, Hive, Pig or HBase to get more exposure to the big data tools and technologies?”

ProjectPro’s mini projects on Hadoop are designed to provide big data beginners and experienced professionals better understanding of complex Hadoop architecture and its components with practice big data sets across diverse business domains -Retail, Travel, Banking, Finance, Media and more.

Why you should enroll for ProjectPro’s Big Data Hadoop projects?

  • To better understand the Hadoop Ecosystem and its related big data technologies.
  • Learn and upgrade your skills whenever there are enhancements to the existing version of Hadoop.
  • You get to work on the latest big data tools released in the market that help you stay updated with the industry trends.
  • You can use big data hadoop projects with source code from ProjectPro to build your own big data services based on the business requirements.

Key Learnings from ProjectPro’s Hadoop Projects

  • ProjectPro’s Hadoop projects will help you learn how to weave various big data open source tools together into real-time projects.
  • These Hadoop projects for practice will not just let you learn about the various components of the Hadoop ecosystem but will also help you understand on how these Hadoop tools are being used across diverse business domains in various organizations.
  • You will build a cutting-edge knowhow in the most trending technology – Hadoop through these interesting Hadoop project ideas.

What are the best Hadoop projects for beginners ?

For big data beginners who want to get started learning with the basics of Hadoop ecosystem, ProjectPro has interesting Hadoop project ideas for beginners that will help them learn Hadoop through 10 projects -

What will you get when you enroll for ProjectPro’s Hadoop projects?

  • Hadoop Project Source Code: Examine and implement end-to-end real-world big data hadoop projects from the Banking, eCommerce, and Entertainment sector using this source code.
  • Recorded Demo: Watch a video explanation on how to execute these hadoop projects.
  • Complete Solution Kit: Get access to the solution design, documents, and supporting reference material, if any for every hadoop project.
  • 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 the hadoop ecosystem.

Big Data Real-Time Projects

Today every organization needs a data infrastructure that can help them deliver contextual experiences in real-time to their customers. Be it the language of a transactional email sent, an advertisement shown on Facebook, or be it the home screen of any mobile application. There is often a requirement to process data in real-time for optimum results and ensure quick response times when needed. There are several big data tools available in the Hadoop ecosystem that enable big data developers to process data in real-time. You can master these big data tools by practising and working on these hands-on real-time big data projects. 

Recommended Project Categories that Might Interest You

Big Data Projects using Apache Hive

Apache Flume Projects

Projects using Spark Streaming

Big Data Projects using Apache HBase

Apache Pig Projects

Spark SQL Projects