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AWS Data Engineering Corporate Training

Master AWS Data Engineering with Multisoft Virtual Academy’s Corporate Training! This expert-led program empowers your teams with the skills to build, manage, and optimize data pipelines on AWS. Designed for working professionals, our hands-on sessions ensure real-time learning, industry-relevant projects, and seamless integration into business goals. Upskill your workforce and boost productivity with our flexible, cloud-based training platform!

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AWS Data Engineering Corporate Training

Curriculum Designed by Experts

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Multisoft Virtual Academy’s AWS Data Engineering Corporate Training is designed to help organizations equip their teams with the essential skills required for building robust data pipelines, processing big data, and managing cloud-based infrastructure on Amazon Web Services. Delivered by certified trainers, this live, instructor-led training focuses on real-time applications, including AWS Glue, Redshift, S3, Lambda, and more.

Whether your team is working on migration, data warehousing, or machine learning projects, this course ensures they understand the architecture, security, best practices, and automation techniques needed to thrive in data-driven roles. The training is fully customizable to match your business requirements and comes with project-based learning, case studies, and expert support for enterprise-scale upskilling.

Multisoft Virtual Academy is offering the AWS Data Engineering Online Training to give in-depth knowledge of AWS Virtuous Cycle, AWS Cloud Economics, Amazon DynamoDB, Kinesis Firehose, Knowledge Checks, DynamoDB Stream, Amazon DynamoDB, EMR Operations, Spark Components, AWS Data Pipeline, RedShift Architecture. Inclined to the AW Certified Data Analytics exam, the offered course is ideal for Solutions Architects, Data Scientists, Data Engineers, and Data Analysts.

  • Introduction to Cloud Computing
  • Cloud Computing Deployments Models
  • Amazon Web Services Cloud Platform
  • The Cloud Computing Difference
  • AWS Cloud Economics
  • AWS Virtuous Cycle
  • AWS Cloud Architecture Design Principles
  • Why AWS for Big Data - Reasons
  • Why AWS for Big Data - Challenges
  • Databases in AWS
  • Relational vs Non-Relational Databases
  • Data Warehousing in AWS
  • Services for Collecting, Processing, Storing, and Analyzing Big Data
    • Amazon Redshift
    • Amazon Kinesis
    • Amazon EMR
    • Amazon DynamoDB
    • Amazon Machine Learning
    • AWS Lambda
    • Amazon Elasticsearch Service
    • Amazon EC2 (big data analytics software on EC2 instances)
  • Amazon Redshift
  • Amazon Kinesis
  • Amazon EMR
  • Amazon DynamoDB
  • Amazon Machine Learning
  • AWS Lambda
  • Amazon Elasticsearch Service
  • Amazon EC2 (big data analytics software on EC2 instances)
  • Key Takeaway
  • Knowledge Checks
  • Lesson End Project
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  • Objectives
  • Amazon Kinesis Fundamentals
  • Loading Data into Kinesis Stream
  • Kinesis Data Stream High-Level Architecture
  • Kinesis Stream Core Concepts
  • Kinesis Stream Emitting Data to AWS Services
  • Kinesis Connector Library
  • Kinesis Firehose
  • Transferring Data Using Lambda
  • Amazon SQS
  • IoT and Big Data
  • IoT Framework
  • AWS Data Pipeline
  • AWS Data Pipeline Components
  • Key Takeaway
  • Knowledge Checks
  • Lesson End Project
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  • Objectives
  • Introduction to AWS Big Data Storage Services
  • Amazon Glacier
  • Glacier and Big Data
  • DynamoDB Introduction
  • The Architecture of the DynamoDB Table
  • DynamoDB in AWS Ecosystem
  • DynamoDB Partitions
  • Data Distribution
  • Local Secondary Index (LSI) **
  • Global Secondary Index (GSI) **
  • DynamoDB GSI vs LSI
  • DynamoDB Stream
  • Cross-Region Replication in DynamoDB
  • Partition Key Selection
  • Snowball & AWS Big Data
  • AWS DMS
  • AWS Aurora in Big Data
  • Key Takeaway
  • Knowledge Checks
  • Lesson End Project
     
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  • Objectives
  • Introduction to AWS Big Data Processing Services
  • Amazon Elastic MapReduce (EMR)
  • Apache Hadoop
  • EMR Architecture
  • Storage Options
  • EMR File Storage and Compression
  • Supported File Format and File Size
  • Single-AZ Concept
  • EMR Operations
  • EMR Releases
  • AWS Cluster
  • Launching a Cluster
  • Advanced EMR Setting Option
  • Choosing Instance Type
  • Number of Instances
  • Monitoring EMR
  • Resizing of Cluster
  • Using Hue with EMR
  • Setup Hue for LDAP
  • Hive on EMR
  • Hive Use Cases
  • Key Takeaway
  • Knowledge Checks
  • Lesson End Project
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  • HBase with EMR
  • HBase Use Cases
  • Comparison of HBase with Redshift and DynamoDB
  • HBase Architecture HBase on S3
  • HBase and EMRFS
  • HBase Integration
  • HCatalog
  • Presto with EMR
  • Advantages of Presto
  • Presto Architecture
  • Spark with EMR
  • Spark Use Cases
  • Spark Components
  • Spark Integration With EMR
  • AWS Lambda in AWS Big Data Ecosystem
  • Limitations of Lambda
  • Lambda and Kinesis Stream
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  • Objectives
  • Introduction to AWS Big Data Analysis Services
  • RedShift
  • RedShift Architecture
  • RedShift in the AWS Ecosystem
  • Columnar Databases
  • RedShift Table Design
  • RedShift Workload Management
  • RedShift Loading Data
  • RedShift Maintenance and Operations
  • Key Takeaway
  • Knowledge Checks
  • Lesson End Project
     
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  • Machine Learning
  • Machine Learning - Use Cases
  • Algorithms
  • Amazon SageMaker
  • Elasticsearch
  • Amazon Elasticsearch Service
  • Loading of Data into Elasticsearch
  • Logstash
  • Kibana
  • RStudio
  • Characteristics
  • Athena
  • Presto and Hive
  • Integration with AWS Glue
  • Comparison of Athena with Other AWS Services
  • Lab Run Query on S3 Using Serverless Athena
  • Key Takeaway
  • Knowledge Checks
  • Lesson End Project
     
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  • Objectives
  • Introduction to AWS Big Data Visualization Services
  • Amazon QuickSight
  • Amazon QuickSight - Use Cases
  • LAB Create an Analysis with a Single Visual Using Sample Data
  • Working with Data
  • Assisted Practice: TBD
  • QuickSight Visualization
  • Big Data Visualization
  • Apache Zeppelin
  • Jupyter Notebook
  • Comparison Between Notebooks
  • D3.js (Data-Driven Documents)
  • MicroStrategy
  • Key Takeaway
  • Knowledge Checks
  • Lesson End Project
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  •  Objectives
  •  Introduction to AWS Big Data Security Services
  •  EMR Security
  •  Roles
  •  Private Subnet
  •  Encryption At Rest and In Transit
  •  RedShift Security
  •  KMS Overview
  •  SloudHSM
  •  Limit Data Access
  •  STS and Cross Account Access
  •  Cloud Trail
  •  Key Takeaway
  •  Knowledge Checks
  •  Lesson End Project
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Outcome centric learning solutions to meet changing skill-demand of your organization

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Skilled professionals with relevant industry experience

Customized trainings to understand specific project requirements

Check performance progress and identify areas for development

Free AWS Data Engineering Corporate Training Assessment

Right from the beginning of learning journey to the end and beyond, we offer continuous assessment feature to evaluate progress and performance of the workforce.

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AWS Data Engineering Corporate Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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Frequently Asked Questions

Corporate training refers to a system of professional development activities provided to educate employees. The primary goal of corporate training is to enhance the skills, knowledge, and effectiveness of individuals and teams to boost overall business performance and efficiency.

Available programs include leadership training, technical skills development, soft skills enhancement, compliance, diversity and inclusion workshops, and role-specific certifications. These programs are tailored to industry needs and can address areas such as project management, communication, data analysis, and IT tools for professional and organizational growth.

Our training sessions can be delivered in various formats including online, in-person, and hybrid models. We utilize the latest technology to provide interactive webinars, virtual classrooms, and on-demand courses, as well as traditional face-to-face workshops.

Training customization begins with assessing business objectives, skill gaps, and workforce requirements. Programs are then designed to address these needs, integrating industry-specific content, hands-on learning, and relevant case studies. Customization ensures that training aligns with company goals and delivers measurable outcomes.

Sessions are led by experienced professionals, certified trainers, and subject matter experts with in-depth industry knowledge. Trainers use interactive methods, real-world examples, and hands-on activities to deliver engaging and impactful learning experiences tailored to participant needs.

We cater to industries like IT, healthcare, manufacturing, retail, finance, hospitality, and education. Our programs are tailored to meet the unique needs of these sectors, ensuring relevance and effectiveness for diverse organizational goals and workforce requirements.

Yes, participants receive certificates upon successfully completing our training programs. These certificates serve as recognition of the skills and knowledge gained during the training.

Registration can be completed online through our website. You can also contact our customer service team for assistance with registration and to discuss any specific training requirements or scheduling preferences. To contact Multisoft Systems you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number+91 8130666206

We offer both group and individual training sessions. Individual training can be tailored specifically to a person’s role within the company, focusing on their particular development needs.

We understand that business needs can change, so we offer flexible scheduling options. If you need to reschedule a training session, we will work with you to find a new date that suits your team’s availability without additional rescheduling fees.

For any specific inquiries or detailed information about our training programs, you can contact our dedicated customer service team or training coordinators via phone (+91 8130666206), email (enquiry@multisoftvirtualacademy.com), or through our website’s contact form.

Corporate training improves employee productivity, fosters innovation, enhances job satisfaction, and ensures alignment with the company’s strategic objectives. It also helps organizations stay competitive in a rapidly changing business environment.

Absolutely. We provide remote training options that allow employees from different locations to join sessions simultaneously, promoting a unified learning experience.

Yes, many of our training programs focus on teamwork, communication, and collaboration, enhancing employees’ ability to work together effectively.

We prioritize flexibility to meet your needs, so there is no minimum team size required to start corporate training at Multisoft Systems. Whether you have a single participant or a large team, we offer tailored training solutions with all program inclusions to ensure a comprehensive learning experience.

Live virtual classrooms at Multisoft Systems are real-time, instructor-led online sessions designed to provide an interactive and engaging learning experience. Participants can interact with instructors and peers, just like in a physical classroom.

Blended learning at Multisoft Systems combines online and instructor-led training to deliver a personalized, flexible, and engaging education experience. Using tools like videos, apps, and hands-on projects, learners can study at their own pace, anytime and anywhere. This hybrid model enhances understanding, skill retention, and satisfaction, making it ideal for professionals seeking a stress-free learning approach.

Training session durations vary depending on the topic and depth. Programs can range from one-day workshops to multi-week courses. Specific timelines are customized to meet organizational schedules and learning objectives while ensuring thorough knowledge transfer.

Effectiveness is measured using pre- and post-training assessments, participant feedback, performance evaluations, and business impact analysis. These methods help track knowledge retention, skill improvement, and the practical application of training outcomes.
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