AWS Data Engineer Associate Training Institute & Certification Exam Center

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AWS Certified Data Engineer - Associate validates skills and expertise in core data-related AWS services, as well as the ability to create data pipelines, monitor and troubleshoot issues, and optimize cost and performance using best practices. If you want to be among the first to acquire this new certification by using AWS technology to transform data for analysis and actionable insights, this beta exam is for you.

AWS Data Engineer Associate Training Key Features

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Course Duration : 2 Months

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AWS Data Engineer Associate Training Calender

Start Date Training Mode Enroll Status
May 28, 2024
10:00 - 13:00 (IST)
Enrollment Open
Jun 05, 2024
13:00 - 16:00 (IST)
Enrollment Open
May 18, 2024
14:00 - 17:00 (IST)
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AWS Certified Data Engineer - Associate Overview

The AWS Certified Data Engineer - Associate Training is a comprehensive program designed for individuals looking to master the skills required to build and maintain data processing systems on the Amazon Web Services (AWS) platform. As data continues to play a pivotal role in business decision-making and operations, the demand for professionals who can effectively design, implement, and manage data solutions has surged. This training equips you with the knowledge and expertise needed to excel in the world of data engineering on AWS.
During this training, you will dive into various aspects of data engineering, including data collection, storage, transformation, and analysis. You will gain hands-on experience with AWS data services and tools, such as Amazon S3, Amazon Redshift, Amazon Kinesis, and AWS Glue, among others. By the end of the program, you will be well-prepared to take the AWS Certified Data Analytics - Specialty certification exam and demonstrate your proficiency in this domain.
Prerequisites for AWS Certified Data Engineer - Associate Training
To ensure a successful learning journey in the AWS Certified Data Engineer - Associate Training, it's essential to have a solid foundation in the following areas:
  1. Basic AWS Knowledge: Familiarity with AWS services and a general understanding of how AWS works is crucial. If you're new to AWS, it's recommended to complete introductory AWS training before starting the data engineering course.
  2. Data Concepts: A fundamental grasp of data concepts, such as data types, data formats, data storage, and data processing, will be advantageous. This training will build upon these concepts to deepen your understanding.
  3. Programming and Scripting Skills: Proficiency in at least one programming language, such as Python or Java, is beneficial, as data engineering often involves scripting and data manipulation.
  4. SQL Knowledge: Basic knowledge of SQL (Structured Query Language) is important, as SQL is frequently used for data querying and manipulation.
  5. Database Fundamentals: Understanding of database management systems and how they operate is a valuable asset, as you will be working with various data storage solutions.
  6. Networking Basics: A foundational understanding of networking concepts, including IP addresses, subnets, and security groups, is essential for working with AWS services effectively.
  7. Mathematics and Statistics: Basic knowledge of mathematics and statistics, including concepts like probability and data distributions, can be advantageous when dealing with data analysis.
By meeting these prerequisites, you'll be better prepared to excel in the AWS Certified Data Engineer - Associate Training and embark on a successful career in data engineering on the AWS platform. This training offers a valuable opportunity to acquire the skills and certification necessary to thrive in the rapidly evolving field of data engineering.

Course Objectives

In this course, you will learn how to:
  • • Identify the characteristics of data analysis solutions and the characteristics that indicate such a solution may be required
  • • Define types of data including structured, semistructured, and unstructured data
  • • Define data storage types such as data lakes, AWS Lake Formation, data warehouses, and the Amazon Simple Storage Service (Amazon S3)
  • • Analyze the characteristics of and differences in batch and stream processing
  • • Define how Amazon Kinesis is used to process streaming data
  • • Analyze the characteristics of different storage systems for source data
  • • Analyze the characteristics of online transaction processing (OLTP) and online analytical processing (OLAP) systems and their impact on the organization of data within these systems
  • • Analyze the differences of row-based and columnar data storage methods
  • • Define how Amazon EMR, AWS Glue, and Amazon Redshift each work to process, cleanse, and transform data within a data analysis solution
  • • Analyze the concept of atomicity, consistency, isolation, and durability (ACID) compliance as well as basic availability, soft state, eventual consistency (BASE) compliance and how an extract,          transform, load (ETL) process can help to ensure compliance
  • • Explore the concept of data schemas and understand how they define data and how this information is stored in metastores
  • • Analyze the concept of data versus information
  • • Recognize the ways to analyze data to produce information for reports using tools such as Amazon QuickSight and Amazon Athena
  • • Define how AWS services work together to visualize data

Course Outline

This course covers the following concepts:
• Lesson 1: Introduction to data analysis solutions
     - Data analytics and data analysis concepts
     - Introduction to the challenges of data analytics
• Lesson 2: Volume – data storage
     - Introduction to Amazon S3
     - Introduction to data lakes
     - Introduction to data storage methods
• Lesson 3: Velocity – data processing
     - Introduction to data processing methods
     - Introduction to batch data processing
     - Introduction to stream data processing
• Lesson 4: Variety – data structure and types
     - Introduction to source data storage
     - Introduction to structured data stores
     - Introduction to semistructured and unstructured data stores
• Lesson 5: Veracity – cleansing and transformation
     - Understanding data integrity
     - Understanding database consistency
     - Introduction to the ETL process
• Lesson 6: Value – reporting and business intelligence
     - Introduction to analyzing data
     - Introduction to visualizing data
• Lesson 7: Key Takeaways
     - Putting the pieces together
     - What’s next
Note: **The topics said above are only the short blueprint of the syllabus. On the off chance that you feel that we have missed any subject, you can simply come to us and learn it, or simply call us to affirm

Call at 8485847920 | 8485846227 WebAsha Provides Best Online [Live Interactive Class] / Calssroom with practical based hands-on AWS Certified Data Engineer - Associate Training and Certification in Pune and near by area. Get Course Details, Certification Cost, Fees, Syllabus, Duration, Batch Timings, Exam Preparation, workshops in Pune, Mumbai, Delhi NCR, Noida, Gurugram (Gurgaon), Hyderabad, Bengaluru (Bangalore), India, UK, USA, UAE, Dubai, Singapore, and Australia

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Companies who have been benefited with his experience & knowledge Atos, Cloud reach, IBM, Samsung R&D, Wipro, Dell, HPE, GE, JP Morgan, Wells Fargo, RBS, Vodafone, Airtel, Nokia, Ericsson, Accenture, Capgemini and many more
  • They have More than 10+ years of experience in Linux and related technologies.
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AWS Data Engineer Associate Certification Bootcamp

AWS Certified Data Engineer - Associate

WebAsha Technologies is an Authorized training & certification exam center since 2014 . We have conducted 1000+ exams with 99% passing in first attempt . Our defined curriculum will help our students to appear for exam with full confidence. Most of the students scored 100% in their AWS exams. We started delivering AWS Exams for fresher and professionals. We conducting all AWS track certification exams. Our training curriculum will help not only to pass the exams, But also help you to get real time industry experience scenarios from industry experts. All our Trainers are having 10+ years of experience in respective field.

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Real Exam Format and Information

Exam Name
AWS Certified Data Engineer - Associate
Exam Duration :
170 Minutes
Number of Questions :
85 questions; either multiple choice or multiple response
Exam Fee :
Validity :
3 years
Exam Code :
Availibility :
Pearson VUE testing center or online proctored exam
Passing Score :
720 out of 1000
Eligibility/Prerequisite :
Exam Languages :
English, Japanese, Korean, and Simplified Chinese

AWS Data Engineer Associate Benefits & Job

Over the past ten years, cloud computing has transformed from a "nice-to-have" to a "must-have" technology requirement in today's business environment. The need for an IT specialist who can manage the migration process and perform cloud-related tasks has increased as a result of this seismic change.
An IT specialist known as a cloud engineer is in charge of all technical aspects of cloud computing, including design, planning, management, upkeep, and support of an organization's current infrastructure as well as exploring options for moving different functions (like database storage) to a cloud-based system. Then, on the new machine, this individual migrates and keeps the function running.
Cloud Engineers must be technically proficient, have the ability to bargain with vendors, manage data security, and more in order to complete the move.
The term “cloud engineer” refers to a variety of positions, including:
    Architect for the cloud
    Engineer for cloud software
    Engineer in charge of cloud security
    Engineer for cloud-based systems
    Engineer in charge of cloud networks
Instead of focusing on technology as a whole, each role focuses on a specific type of cloud computing.
Companies that want to deploy cloud services, scale up their use of cloud resources, or improve their cloud knowledge and technology frequently hire cloud engineers.
The average annual salary of a cloud engineer in India is around 7.5-8 lakh rupees, according to Indeed's January 2020 study.
This data came from a review of 228 salaries submitted to Indeed in the previous three years.
Given the rapidly increasing demand for cloud engineers and the scarcity of supply, this is expected to skyrocket in the coming years.

Looking at cloud engineer salaries in India by job title is the best way to figure out what you're capable of.
As you advance up the corporate ladder as a cloud engineer, your salary will rise.
The better the company you work for, the more likely it is that you will receive a significant pay raise.

Average Salary per Annum
0-3 years
4-6 years
₹17,44,817 – ₹19,00,369
You can expect to earn three times as much as a new employee in just four years.
However, not everything in life is straightforward.
You must hone your skills and stay current with industry developments.
Top Cloud Engineering Companies in India
The average salary of a cloud engineer varies greatly depending on that company where you work.
Examine the pay packages offered by some of India's most prestigious companies.
Average Salary per annum
HCL Technologies
Nivio Technologies
Cloud Engineer Salary in Other Countries
Another important factor to consider is how much these salaries vary by region. The list of Cloud Engineer Salaries in other countries is organized by location.
Average Salary per annum
Cloud Engineer in New York, NY
Cloud Engineer in Boston, MA
Cloud Engineer in Chicago, IL
Cloud Engineer in Atlanta, GA
Cloud Engineer in Austin, TX

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AWS Data Engineer Associate FAQ

  • What is the purpose of the AWS Data Engineer Associate training and certification?

    The AWS Data Engineer Associate training and certification is designed to provide individuals with the knowledge and skills necessary to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform. The certification verifies that an individual has the ability to design and deploy infrastructure and applications on AWS.
  • What are the prerequisites for the AWS Data Engineer Associate certification?

    There are no specific prerequisites for the AWS Data Engineer Associate certification. However, it is recommended that individuals have at least one year of experience working with AWS or have completed a relevant AWS training course.
  • What are the key topics covered in the AWS Data Engineer Associate training?

    TThe key topics covered in the AWS Data Engineer Associate training include AWS architecture, deployment and management, security and compliance, and pricing and support.
  • How long does it take to prepare for the AWS Data Engineer Associate certification?

    The time it takes to prepare for the AWS Data Engineer Associate certification varies depending on the individual's prior knowledge and experience. It is recommended to allocate at least a few weeks to study and prepare for the certification exam.
  • What are the best resources to prepare for the AWS Data Engineer Associate certification?

    The best resources to prepare for the AWS Data Engineer Associate certification include AWS documentation, AWS training courses, AWS whitepapers, practice test, and AWS Data Engineer Associate Study Guide
  • What is the format of the AWS Data Engineer Associate certification exam?

    The format of the AWS Data Engineer Associate certification exam is multiple-choice, with 65 questions to be completed within 130 minutes
  • What is the passing score for the AWS Data Engineer Associate certification exam?

    The passing score for the AWS Data Engineer Associate certification exam is 720 out of 1000 points.
  • How often is the AWS Data Engineer Associate certification exam offered?

    The AWS Data Engineer Associate certification exam is offered continuously and can be taken at any time at a testing center or online through a proctoring service.
  • What are the benefits of the AWS Data Engineer Associate certification?

    The benefits of the AWS Data Engineer Associate certification include increased credibility and recognition as an AWS expert, improved job opportunities and career advancement, and increased knowledge and understanding of AWS architecture and design.
  • How long is the AWS Data Engineer Associate certification valid for?

    The AWS Data Engineer Associate certification is valid for 2 years, after which an individual will need to retake the certification exam to maintain their certification status.

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