You are all set to begin your learning path with this first stepping stone and foundational Essential course. In this course you are mentored through finely tailored course content to introduce the most popular tech stack – Big Data Aka Hadoop. It is equally important to learn the roles and responsibilities of a Data Engineer and it is part of this course curriculum. A clear introduction to Data Pipelines, Data Processing, HDFS, Resource Management, Data Access, Pipeline Automations is covered in this course.
You will be developing a real-world Data Engineering hands-on pipeline using one of the public datasets available along with the context of the business. For those who do not have enough resources to run installations on your system, hands-on session to setup the server on AWS Cloud is included as add-on in this course.
System Requirements
CPU: Quad cores with i5 or better/M1
Memory: 16GB
OS: Windows/MacOS
Not to worry if you do not have enough capacity on your system, towards the end of this course you will be guided on procuring AWS Cloud server for your practice.
Mode of Trainings:
Online Interactive Sessions
Recorded Video Sessions – From the latest Online batch
Resources:
Approximate number of sessions: 25 (Varies across the batches)
Lifetime access to the recorded videos will be given along with all supportive documents, logs, references and software’s if any.
Placements
With this course you are not ready yet for the market hunt. Complete the next Booster level course to be able to get our placement support.
Big Data
We build solutions for your voluminous of data on Hadoop Data Lakes. Our applications leverage the open-source tools on Hadoop to build streaming or batch analytics.
Containerize
Why to limit CI/CD for product development? Let the Data Pipelines have this ability to containerize which hugely aids Agile development building micro-pipelines in Pooling your Data.
Wondering what ORSKL can do for you?
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