Previously, in a similar article, we had covered the various learning paths you could take to become a Big Data Hadoop Architect by way of Big Data Development expertise. Here, we will discuss suggested, optimal learning paths that lead from a role as Big Data Hadoop Administrator to that of a Big Data Hadoop Architect!
Going from being a Big Data Hadoop Developer to Big Data Hadoop Architect is a relatively shorter journey, involving only a couple of milestones and certifications.
Transitioning from your role as a Big Data Hadoop Administrator
As a Big Data Hadoop Administrator, you would primarily have been responsible for the implementation and administration of the Hadoop infrastructure in your organization. You would also have had to handle major database administration and data warehouse responsibilities.
A Hadoop Architect, on the other hand, acts as the link between the organization and the other Big Data scientists and engineers in the organization. Hadoop Architects will be responsible for the entire Hadoop lifecycle which includes: requirement analysis, platform selection, design of application design and development, testing, and deployment of the proposed solution.
Surely, bigger responsibilities with bigger remunerations.
How do you get there – learning paths explored
With the skills and the experience that you would've already acquired, it may seem as though you would not need any additional learning or upgrading. However, you will.
Our Big Data Hadoop Solutions Archtiect Masters Program will give you all you need to speed up your career. This program has been designed keeping in mind the reuirements of the new wave of demand for Big Data professionals. This program provides an Industry recommended learning path, OnDemand technical, project,and programming support by Hadoop experts, hands-on project execution with CloudLabs, and a Masters certificate on completition of the training.
The industry recommended learning path that you should take to excel in the field is a Big Data Hadoop Administrator certification, and then a MongoDB or Cassandra certification depending on the role or the task that you are involved in, in your organization.
The learning paths suggested here are best-suited for RDBMS administrators, systems administrators, and IT managers.
What do these certifications mean?
#1 Big Data and Hadoop Administrator Certification
As a BDH Administrator, you would have already been certified with a Big Data and Hadoop Administrator qualification. This should have ideally prepared you in mastering the Hadoop and Hadoop eco system components. This course is aimed to cover knowledge areas that focus on provisioning, installing, configuring, monitoring, maintaining, and securing Hadoop and Hadoop Eco System components.
Upon completion of this course, you would have had a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster.
#2 MongoDB Certification or Cassandra Certification
MongoDB: MongoDB is a cross-platform document-oriented database that helps in data modelling, ingestion, query and sharing, data replication and more. It is the most popular NoSQL database in the industry.
A certification course in MongoDB should be able to build your expertise in writing Java and Node JS applications using MongoDB; improve your skills in Replication and Sharding of data so you can optimize read / write performance; teach you installation, configuration, and maintenance of a MongoDB environment; and develop your proficiency in MongoDB configuration, backup methods, as well as monitoring and operational strategies.
It will also give you experience in creating and managing different types of indexes in MongoDB for query execution, and offer you a deeper understanding of managing DB Notes, replica set, and Master-Slave concepts.
To sum it up, you will be able to process huge amounts of data using MongoDB tools, and proficiently store unstructured data in MongoDB.
Cassandra: Apache Cassandra is an open-source distributed database management system that works on the ‘master-and-slave” mechanism. Cassandra is best while working on write-heavy applications.
Cassandra offers greater scalability and is thus able to store petabytes of data. It is carefully designed to handle huge workloads across multiple datacenters, without a single point of failure.
Ensure that a certification course in Apache Cassandra includes details on the fundamentals of Big Data and NoSQL databases; Cassandra and its features; the architecture and data model of Cassandra; installation, configuration, and monitoring of Cassandra; and Hadoop ecosystem of products around Cassandra.
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Choose the learning path that best-suits your growth strategy and build an exciting career as a Big Data Hadoop Enterprise Architect.
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