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?
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.
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.
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