Best Sellers in “Apache Hadoop Projects”
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.
Implementing OLAP on Hadoop using Apache Kylin
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.
Design a Network Crawler by Mining Github Social Profiles
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.
Create a data pipeline based on messaging using Spark and Hive
In this spark project, we will simulate a simple real-world batch data pipeline based on messaging using Spark and Hive.
Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark
Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark.
Design a Hadoop Architecture
Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.
Using Apache Hive for Real-Time Queries and Analytics
Learn to write a Hadoop Hive Program for real-time querying.
Tough engineering choices with large datasets in Hive Part - 1
Explore hive usage efficiently in this hadoop hive project using various file formats such as JSON, CSV, ORC, AVRO and compare their relative performances
Finding Unique URL's using Hadoop Hive
Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.
Real-Time Log Processing using Spark Streaming Architecture
In this Spark project, we are going to bring processing to the speed layer of the lambda architecture which opens up capabilities to monitor application real time performance, measure real time comfort with applications and real time alert in case of security
Hadoop Project for Beginners-SQL Analytics with Hive
In this hadoop project, learn about the features in Hive that allow us to perform analytical queries over large datasets.
IoT Project-Learn to design an IoT Ready Infrastructure
The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture.
NoSQL Project on Yelp Dataset using HBase and MongoDB
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.
Yelp Data Processing using Spark and Hive Part 2
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.
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.
Spark Project -Real-time data collection and Spark Streaming Aggregation
In this big data project, we will embark on real-time data collection and aggregation from a simulated real-time system using Spark Streaming.
Data processing with Spark SQL
In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.
Online Hadoop Projects -Solving small file problem in Hadoop
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.
Data Warehouse Design for E-commerce Environments
In this hive project, you will design a data warehouse for e-commerce environments.
Airline Dataset Analysis using Hadoop, Hive, Pig and Impala
Hadoop Project- Perform basic big data analysis on airline dataset using big data tools -Pig, Hive and Impala.
Hadoop Project-Analysis of Yelp Dataset using Hadoop Hive
The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval.
Microsoft Cortana Intelligence Suite Analytics Workshop
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.
Movielens dataset analysis using Hive for Movie Recommendations
In this hadoop hive project, you will work on Hive and HQL to analyze movie ratings using MovieLens dataset for better movie recommendation.
Process a Million Song Dataset to Predict Song Preferences
In this big data project, we will discover songs for those artists that are associated with the different cultures across the globe.
Hive Project - Visualising Website Clickstream Data with Apache Hadoop
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.
Data Mining Project on Yelp Dataset using Hadoop Hive
Use the Hadoop ecosystem to glean valuable insights from the Yelp dataset. You will be analyzing the different patterns that can be found in the Yelp data set, to come up with various approaches in solving a business problem.
Professionals and students who complete learning Hadoop from DeZyre 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?”
DeZyre’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 DeZyre’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 DeZyre to build your own big data services based on the business requirements.
Key Learnings from DeZyre’s Hadoop Projects
- DeZyre’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, DeZyre has interesting Hadoop project ideas for beginners that will help them learn Hadoop through 10 projects -
What will you get when you enroll for DeZyre’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.