DeZyre Reviews: Online Training in Hadoop Class of Aug 8 2015

DeZyre Reviews: Online Training in Hadoop Class of Aug 8 2015

A lot of companies today are looking for Big Data solutions to maintain a competitive edge in the market. Industries are adopting Hadoop at a huge scale. The popularity of Hadoop is mainly because of its unique distributed computing system which stores and analyses data both structured and unstructured. Due to the fast adoption of Hadoop by the industries, a huge gap has been created in the demand and availability of qualified Hadoop developers. There is a very urgent need for Hadoop developers in the industry with skills in working with Hadoop tools such as HDFS, MapReduce, Hive and Pig.

DeZyre’s Hadoop online training course covers all the necessary topics for comprehensive Hadoop developer training. The faculty at DeZyre are all industry experts and they teach through the project based approach. These projects at DeZyre are industry approved and gives the students hands on experience in working with Hadoop.

How to learn Hadoop?

Reviews from DeZyre Online Hadoop Training Class of August 8 2015

Let’s see what is the feedback from the students of the online Hadoop training class of Aug 8 2015.

“Today's Hadoop online session is very informative.”

-Avinash Piduru, BI Project Manager

“The presentation was good even though we only did theory. The only thing that could be improved is a definite location to download the software need for the class”

-Steve Atlas, Project Manager

DeZyre Reviews: Hadoop Online Training Class of Aug 8 2015

“The Hadoop online training session was good & descriptive “

-Kiran V Thulasibhai, Software Developer


Enrol today to get $40 off on the course fee for IBM Certified Big Data & Hadoop Developer Training



Relevant Projects

Web Server Log Processing using Hadoop
In this hadoop project, you will be using a sample application log file from an application server to a demonstrated scaled-down server log processing pipeline.

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.

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.

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.

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.

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

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

Real-Time Log Processing in Kafka for Streaming Architecture
The goal of this apache kafka project is to process log entries from applications in real-time using Kafka for the streaming architecture in a microservice sense.