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AWS Data Engineering Training in Chennai

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Want to learn an AWS Big Data Certification Training in Chennai? BTree Systems is the right place for you. AWS Data Engineering Training in Chennai provides you with AWS Big Data technologies such as Amazon EMR, Amazon Redshift, Amazon S3, as well as Spark. You will discover how to process data using Amazon EMR in conjunction with the broad Hadoop ecosystem, which includes Hive. Moreover, you'll explore how to create Big Data environments, interact with Amazon Redshift and Amazon Athena, and use best practices to establish secure and cost-efficient Big Data environments. With the AWS Big Data Engineer training, you will gain the professional and technical skill sets required to succeed as an AWS cloud specialist.

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AWS Data Engineering Key Highlights

Real-Time Experts
Placement Support
Live Project
Certified Professional
Affordable Fees
Flexibility To assist
No Cost EMI
Free Soft Skills

Overview of AWS Data Engineering Course in Chennai

You become familiar with the AWS platform’s features, such as AWS Big Data storage, machine learning techniques, Kinesis analytics, cloud technology processes, and other tools, through this AWS Big Data certification course in Chennai. Through real-world projects and case studies, the complete course will help you obtain comprehensive knowledge and abilities on AWS.

What is AWS Data Engineering?

Data engineering is the practice of developing large-scale data collection, storage, and analysis systems. It covers a wide range of topics and has uses in almost every business.

AWS Data Engineering focuses on overseeing several AWS services so that customers can receive an integrated solution that meets their needs. An AWS Engineer examines the customer’s requirements, their data’s quantity and quality, and the outcomes of their activities. For customers to use them and perform at their best, they also choose the greatest equipment and services.

What does an AWS Data Engineer do?

How to become a Data Engineer?

What are the Skills required to become a Data Engineer?

Why should I choose AWS Big Data at BTree Systems?

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AWS Data Engineering Career Transition

60%
Avg Salary Hike
500+
Career Transitions
40 LPA
Highest Salary
300+
Hiring Partners

AWS Data Engineering Skills Covered

AWS Athena
AWS S3
AWS IAM
Redshift
AWS Glue
AWS HDFS
AWS EMR
AWS Hive
Sqoop and Oozie
Kafka
Snowflake
AWS Flink
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Tools Covered(pending)

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AWS Data Engineering Course Fees

22 Jul
SAT - SUN
08:00 PM TO 11:00 PM IST (GMT +5:30)
15 May
SAT - SUN
08:00 PM TO 11:00 PM IST (GMT +5:30)
18 May
SAT - SUN
08:00 PM TO 11:00 PM IST (GMT +5:30)
20 May
SAT - SUN
08:00 PM TO 11:00 PM IST (GMT +5:30)
₹ 49,000
₹ 44,100
10% OFF Expires in
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UNLOCK YOUR FUTURE WITH OUR
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Program, offering you the opportunity to pursue your education without financial constraints.
EMI starting at just
₹ 2,000 / Months
Available EMI option
3
MONTHS
6
MONTHS
12
MONTHS
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AWS Data Engineering Corporate Training
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Curriculum for AWS Data Engineering Certification Course

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Big Data Software Installation in Windows & Mac & Ubunth

  • IntelliJ
  • Pycharm
  • Anaconda
  • Hadoop 2.7.2
  • Spark 2.4.8
  • Kafka 2.4.0
  • Git
  • Sbt
  • Sql-workbench
  • Java 8
  • Scala 2.11.12
  • Putty
  • WinSCP
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Introduction to Big Data and Hadoop

Scala basics

Scala Important Concepts

Scala Functions

AWS Introduction EC2

Athena

S3

IAM(Identity and Access management)

RedShift

Glue

RDS

EMR

Hadoop Ecosystem HDFS

YARN

Hive

Sqoop

Oozie

NOSQL Database introduction

Apache Spark Training Spark Core

RDD Internals

RDD Internals

Spark SQL

Kafka Internals

Apache Nifi Introduction

Snowflake

Flink

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Microsoft Azure DevOps Projects

Best industry knowledge
Hands-On practical experience
Real-Time experience
Real-Time experience

Azure DevOps Training Options

Azure DevOps Classroom Training
  • 55+ hours of live classroom training
  • Real-Time trainer assistance
  • Cutting-Edge on Azure DevOps tools
  • Non-Crowded training batches
  • Work on real-time projects
  • Flexible timings for sessions
  • Azure devops live training
Azure DevOps Online training
  • 45+ Hours of online Azure DevOps Training
  • 1:1 personalised assistance
  • Practical knowledge
  • Chat and discussion panel for assistance
  • Work on live projects with virtual assistance
  • 24/7 support through email, chat, and social media.

Azure DevOps Certification in Chennai

Our Azure DevOps Certification helps you kickstart your career in cloud with the best Azure course curriculum. We incorporate student-aided support with live projects and portfolios, HR sessions, Mock interviews, and QA. We conduct live lab sessions on Azure Pipeline, Azure Boards, Jenkins, Maven, Ansible, GitHub, etc., so that you can develop practical skills relevant to the industry.

After completing our Azure DevOps Certification Course, we ensure that each student is completely prepared to take up Microsoft Azure DevOps AZ-400 certification exams. The curriculum for our AZ-400 course is designed to satisfy the needs of students who are interested in obtaining the Azure DevOps certification. Also, Our trainers assist you in improving the resumes and increasing confidence by providing relevant material and mock interviews.

The certification is only given upon the complete completion of our course and project with a practical component.

  • 55+ hours of live classroom training
  • Real-Time trainer assistance
  • Cutting-Edge on Azure DevOps tools
  • Non-Crowded training batches
  • Work on real-time projects
  • Flexible timings for sessions
  • Azure devops live training
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Knowledge Hub with Additional Information of Azure DevOps

Roles and responsibilities of Azure DevOps Engineer

Azure DevOps engineers are proficient with the life cycle of software development as well as numerous automation tools. They have experience developing digital pipelines (CI/CD pipelines). They work with developers and other IT experts to monitor the development process. They also assist team leaders in developing better scripting and coding techniques that enhance product performance and satisfy customer expectations. They need to adapt their plans as necessary, cope with difficult situations, guarantee the quality of their output, and work together with other development teams. Thus, these are the key responsibilities of an Azure DevOps Engineer

  • Documentation: To understand the needs of both sides, you need to
    consult with customers, stakeholders, and developers as a DevOps Engineer.
    All of these requirements should be documented and used to create the
    execution plan.
  • System Evaluation: Evaluating the company’s present technologies and
    introducing new tactics to enhance the development life cycle.
  • Development and Design: One of the primary responsibilities of a
    DevOps Engineer is to deliver innovative IT solutions to improve the
    organization’s development infrastructure. They also may automate various
    techniques, lowering the potential risk of errors happening during the
    coding, testing, and deployment of software products.
  • Testing software: Software testing is a critical aspect of the SDLC
    model and takes a significant amount of time. As a result, engineers must
    automate the process of testing multiple software and eliminate mistakes.
  • Deployment: Software deployment is another critical part that DevOps
    Engineers must monitor. They should improve the software development
    environment and automate the release of new upgrades.
  • Managing Performance: To accomplish effective development, use
    business-oriented operations. You should also look for other options to help
    you close the time gap between production and deployment.

What is the better DevOps tool between GitHub and Azure DevOps?

What are the key services offered by Azure DevOps?

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Our Bootcamp is Unmatched. Here's Why.

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Project Portfolio
Program Designed by Experts
Hands-On Projects from a Design Studio
Experienced UI/UX Mentors
Practical Application Focus
Latest Industry-Validated Curriculum
Extensive Career Guidance
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Start building a solid portfolio from Day 1
Course designed by experts in the field.
Hands-on experience with a design studio.
Seasoned professionals with significant experience.
Newest workflows in real-world design scenarios.
Integration of emerging trends and technologies.
Interview prep, analysis, mentor support
Other Courses
Projects available at the end of the program
Generic content potentially lacking industry depth.
Lack of structured real-world exposure.
Potentially lacking in-depth experience or insights.
Limited exposure to latest UI/UX workflows.
Outdated or less relevant content.
Sparse interview preparation support.
Logo
Other Courses
Project Portfolio
Start building a solid portfolio from Day 1
Projects available at the end of the program
Program Designed by Experts
Course designed by experts in the field.
Generic content potentially lacking industry depth.
Hands-On Projects from a Design Studio
Hands-on experience with a design studio.
Lack of structured real-world exposure.
Experienced UI/UX Mentors
Seasoned professionals with significant experience.
Potentially lacking in-depth experience or insights.
Practical Application Focus
Newest workflows in real-world design scenarios.
Limited exposure to latest UI/UX workflows.
Latest Industry-Validated Curriculum
Integration of emerging trends and technologies.
Outdated or less relevant content.
Extensive Career Guidance
Interview prep, analysis, mentor support
Sparse interview preparation support.
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Craft Your Path to Course Name Mastery

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Bootcamp Immersion
  • Join a 12-week program focused on hands-on learning.
  • Attend weekly instructor-led sessions for interactive learning.
  • Engage in weekly assessments to reinforce understanding.
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Hands-On Immersive Learning
  • Join a 12-week program focused on hands-on learning.
  • Attend weekly instructor-led sessions for interactive learning.
  • Engage in weekly assessments to reinforce understanding.
3
Bootcamp Immersion
  • Join a 12-week program focused on hands-on learning.
  • Attend weekly instructor-led sessions for interactive learning.
  • Engage in weekly assessments to reinforce understanding.
4
Hands-On Immersive Learning
  • Join a 12-week program focused on hands-on learning.
  • Attend weekly instructor-led sessions for interactive learning.
  • Engage in weekly assessments to reinforce understanding.
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FAQ 's on Data Science & AI

What is Data Science & AI

Big Data is a large volume of data that is generated by companies on a daily basis. It is analyzed in order to find hidden trends and patterns, correlations, or any other valuable information that may be invisible to the naked eye or in smaller data sets using traditional methods of processing. Moreover, the exponential rate of growth of sensors and devices that are connected to the internet acts as major contributors to the enormous data and its storage. Besides, the analysis and processing of this data may require several computers.

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  • Immersive online instructor-led sessions conducted by SMEs
  • Extensive LMS, allowing you to view recorded sessions within 3 hours
  • Real-time exercises, assignments, and projects
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  • A large community of like-minded learners
  • Industry-recognized Intellipaat badge
  • Personalized job support

What are the job opportunities available in Data Science & AI

What are the prerequisites for taking up this Data Science & AI online courses?

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