DeZyre Reviews: Online Hadoop Training Class of Mar 1 2015

DeZyre Reviews: Online Hadoop Training Class of Mar 1 2015

The Hadoop training course at DeZyre is conducted through live instructor led webinar sessions. Students go through 42 hours of live classes where they get to interact with the industry expert in an online Hadoop training class. In these sessions, the Hadoop curriculum is taught and discussed in detail. There are also 40 hours of lab work – where students get to practice on hands on assignment to work on various tools in Hadoop. MapReduce, HDFS, Hive and Pig concepts are covered in detail and more concepts like Sqoop, Flume, HBase, Oozie and Zookeeper are also taught with a view to provide a comprehensive training in Hadoop.

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Reviews from DeZyre Online Hadoop Training Class of Mar 1 2015

To understand what happens in these sessions, let’s take a look at what happened at DeZyre’s Online Hadoop Training Class of Mar 1 2014.

“I like the session today. He explained everything in detail. I am eagerly waiting for more classes to give some feedback.”

-Arunvivek Supramanian, Software Developer

“The instructor is very good and wants to make sure everyone learns most of what he is teaching. Today's session was introductory and was very good.”

-Arshad Khan, Senior Software Developer

DeZyre Reviews: Online Hadoop Training Class of Mar 1 2015

“The graphic images in the slides are quite good.  Didn't get some aspects of how things are actually coded (since I don't have a recent coding background).”

-Deepak Bhaskar, IT Professional

Learn Hadoop to pursue an incredibly rewarding career in Big Data




Relevant Projects

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.

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.

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.

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.

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.

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.

PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

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.

Spark Project-Analysis and Visualization on Yelp Dataset
The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.

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.