Big Data Hadoop Engineer
Big Data Hadoop Engineer
August 20, 2018

Big Data Hadoop Engineer

The Big Data Hadoop Architect Master's Program transforms you into a qualified Hadoop Architect. This data architect certification lets you master various aspects of Hadoop, including real-time processing using Spark and NoSQL database technology and other Big Data technologies such as Storm, Kafka and Impala. Big Data Hadoop architects are among the highest paid professionals in the IT industry.

What are the learning objectives?

Big Data Hadoop Architect Program will help you master skills and tools like Cassandra Architecture, Data Model Creation, Database Interfaces, Advanced Architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML,GraphX, Replication, Sharding, Scalability, Hadoop clusters, Storm Architecture, Ingestion, Zookeeper and Kafka Architecture. These skills will help you prepare for the role of a Big Data Hadoop architect. 

The program provides access to high-quality eLearning content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of data scientist.

Why become a Big Data Hadoop Architect?


In addition to being responsible for planning and designing next-generation Big Data systems, Hadoop architects also manage large-scale development and deployment of Hadoop applications. Big Data Hadoop Architects have become the critical link between business and technology.
 

What projects are included in this program?


This Big Data Hadoop Architect Master's program includes 12+ real-life, industry-based projects on different domains to help you master concepts of Big Data Architect like Clusters, Scalability, Configuration. A few of the projects, that you will be working on are mentioned below:

Project 1: See how large MNCs like Microsoft, Nestle, PepsiCo, set up their Big data clusters by gaining hands-on experience on the same
Project Title: Scalability-Deploying Multiple Clusters
Description: Your company wants to set up a new cluster and has procured new machines; however, setting up clusters on new machines will take time. Meanwhile, your company wants you to set up a new cluster on the same set of machines and start testing the new cluster’s working and applications.

Project 2: Understand how companies like Facebook, Amazon, Flipkart leverage on Big Data Clusters using the below case study.
Project Title: Working with Clusters
Description: Demonstrate your understanding of the following tasks (give the steps):

  • Enabling and disabling HA for namenode and resourcemanager in CDH
  • Removing Hue service from your cluster, which has other services such as Hive, HBase, HDFS, and YARN setup
  • Adding a user and granting read access to your Cloudera cluster
  • Changing replication and block size of your cluster
  • Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others


Project 3: See how banks like Citigroup, Bank of America, ICICI, HDFC make use of Big Data to stay ahead of the competition. 
Domain: Banking
Description:

 A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.

Project 4: Learn how Telecom giants like AT&T, Vodafone, Airtel make use of Big Data by working on a real-life project based on telecommunication.
Domain: Telecommunication
Description:
 A mobile phone service provider has launched a new Open Network campaign. The company has invited users to raise complaints about the towers in their locality if they face issues with their mobile network. The company has collected the dataset of users who raised a complaint. The fourth and the fifth field of the dataset has a latitude and longitude of users, which is important information for the company. You must find this latitude and longitude information on the basis of the available dataset and create three clusters of users with a k-means algorithm.

Project 5:
 Understand how entertainment companies like Netflix, Amazon Prime leverage on Big Data.
Domain: Movie Industry 
Description:
 US-based university has collected datasets which represent reviews of movies from multiple reviewers as a part of Research Project. To gain in-depth insights from research data collected you have to perform a series of tasks in Spark on the dataset provided.

Project 6:
 Learn how E-Learning companies like Simplilearn, Lynda, Pluralsight make use of NoSQL and Big Data technology.
Domain: E-Learning Industry
Description:
Design a Web application for a leading E-learning organization using MongoDB to support read and write scalability. You can use web technologies such as HTML, JavaScript (JSP), Servlet, and Java. Using this Web application, a user should able to add, retrieve, edit, and delete the course information using MongoDB as the backend database.  Screenshots for the GUI are shown below.  Note that it is not mandatory to use Java technologies. You can choose any technology that you are comfortable with to design this Web application.

Jobs that are ideal for Big Data trained professionals include:

  • Big Data lead
  • Big Data engineer
  • Big Data architect
  • Technical program manager
  • Product engineer - Big Data expert
  • Cloud service engineer
  • Big Data/ Hadoop developer

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