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Going from being a big data Hadoop developer to Data Engineer is a relatively shorter journey, involving only a couple of milestones and certifications.
Transitioning From Your Role as a Big Data Hadoop Administrator to Data Engineer
As a big data Hadoop administrator, you would’ve primarily been responsible for the implementation and administration of the Hadoop infrastructure in your organization. You are probably experienced in database administration and data warehousing, as well. Data engineers, on the other hand, play a much bigger role in the organization and have a wide array of responsibilities.
How Do You Get There? Learning Paths Explored
With the skills and the experience that you have already acquired architecting Hadoop infrastructure, it may seem as though you don’t need any additional training. But, you may.
Our newest Data Engineering Master’s Program will give you all you need to jumpstart your career. This program is designed with the requirements of the new wave of demand for data engineers in mind. It provides a recommended learning path and teaches students about all the tools and skills needed to succeed as data engineers.
The industry-recommended learning path that you should take to excel in the field will depend on the role or the task that you are involved in your organization.
What Do These Certifications Mean?
Big Data and Hadoop Administrator Certification
As a BDH Administrator, it’s likely you are already certified as a Big Data and Hadoop Administrator. Ideally, this helped you master Hadoop and Hadoop ecosystem components. This course is designed to expand on your existing knowledge, with a focus on provisioning, installing, configuring, monitoring, maintaining, and securing Hadoop and Hadoop ecosystem components.
Upon completion of this course, you should have a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster.
MongoDB Developer and Administrator CertificationMongoDB is a cross-platform document-oriented database that helps in data modeling, ingestion, querying, sharing, data replication, and more. It is the most popular NoSQL database in the industry.
A certification course in MongoDB helps you build your expertise in writing Java and Node JS applications and improve your skills in replication and sharding. You will learn how to optimize, read, and write performance, teach your installation and configuration, and maintain a MongoDB environment. You will also develop proficiency in MongoDB configuration and backup methods and ways to monitor 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 sets, and master-slave concepts.
To sum it up, you will be able to process and store significant amounts of unstructured data using MongoDB.
Apache Cassandra CertificationApache 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 specifically designed to handle large workloads across multiple data centers, without a single point of failure.
Our certification course in Apache Cassandra teaches the fundamentals of big data and NoSQL databases, its features, the architecture, and data model of Cassandra. The course also shows how to install, configure and monitor with Cassandra, as well as the Hadoop ecosystem of products that work with it.
Choose the learning path that best suits your growth strategy and build an exciting career as a Data Engineer. When you enroll in our latest Data Engineer Master’s Program, which was co-developed with IBM, these are just a few of the courses you’ll take and certifications you’ll earn. Students also learn about PySpark, Apache Kafka, and other tools and skills needed to succeed in the exciting world of Data Engineering.
Learn more about our program and enroll today.
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