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Big Data Engineer Career Track

Become a Big Data engineer with this 10 weeks specialization course in big data offering both Online Instructor-led and On-campus

Become a Big Data Engineer Career Track

Overview

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Become a  Big Data Engineer with this 10 weeks intensive hands-on course. This career track focuses on specialization in Big Data from basic concepts to advanced topics in big data Space. You will become an expert in Big Data.

By the end of this course, This career track will transition you for a Big Data  Engineer job. Our curriculum is rigorous and deeply technical preparing you to crack any tough interviews to get a job. Our courses  are Instructor led both online and on campus.

What you will learn

This track consists of 5 modules, you will learn the basics of Spark with Scala, and understand how to build ETL pipelines on cloud AWS, and learn how to lead successful big data projects. You will learn about Spark, basics of scala, databricks, working with structured data and deployment spark applications on AWS cloud.

Skills Gained?

You will be familiar with oops and functional programming concepts with Scala.

Deeper understanding of Spark, data bricks.

How to handle structured data, delta lake.

Hands-on AWS Services(EC2,EMR, Glue,Kafka,StepFunction) related to big data

Real Time case studies.

Spark application deployments on AWS cloud.

Course Structure

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10 weeks /44+ hours

Live online and on campus

Weekend/Weekday Sessions

Programmers

Intermediate

How does this work?

Reverse Engineering Technique

We are confident with our proven techniques of learnings,no gimmicks only simple learning.

This specialization have 5 courses content

Description: Setting up your 1st big data cluster using Databricks Community Edition. Introduction to Spark RDD. Transformations and Actions. Distributed key-value pairs (Pair RDD). To make things fun and interesting, we will introduce multiple datasets coming from disparate data sources – SFTP, MS SQLServer, Amazon S3 and Google Analytics. And create an industry standard ETL pipeline to populate a data mart implemented on Amazon Redshift.

Skills gained

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  • Writing your 1st Spark Program – Word Count example using Data bricks Notebook.

  • ● Writing your 1st Spark Program – Word Count example using Databricks Notebook
Description: Scala basics – Functional Programming, OOPs Concepts, Collections, Option, Exception Handling. Challenges with RDD.

Skills gained

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  • Introduction to Scala – variable declaration, control statements, loops, pattern matching, higher order functions, function currying, implicit parameter
Description: Implementing ETL/Data Pipelines using Spark’s DataFrame/Dataset API through 3 steps,

Skills gained

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  • Data Ingestion
Description: You will be taught Productionalizing Sprk jobs on AWS Cloud through many different ways.

Skills gained

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Description:

Skills gained

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Case Studies

You will work on case studies from helthcare, autonomous driving, sign langiuage reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. you will practice all these ideas in Python and in TensorFlow, which we will teach.

Outcomes


Al is ternsforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.

Support : We are here to Help

Mentor Support

Career Support

Technical Support

Course Dates and Times

June Session

$1500

June 15th - July 30th

$1500

June 15th - July 30th

$1500

Our Instructors

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Frequently asked questions

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If you have question or would like more information on our works, Please complete the form and we'll aim get back to you in 24 hours.

Why Us

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