Data Engineering DE198

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Datavalley
Disha Tilva
harsha
Last Update August 31, 2023
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    Free
    Level
    All Levels
    Lectures
    21 lectures

    About This Course

    Are you interested in a career as an AWS Data Engineer?

    The “Data Engineering Masters Program with AWS” is designed to equip you with the skills necessary to become an expert in data engineering using AWS. This comprehensive program covers the design, development, deployment, and management of data-intensive pipelines and applications using a range of AWS services such as S3, Redshift, DynamoDB, Glue, PySpark, Lambda, and more.

    In addition to learning how to build efficient and scalable data engineering pipelines, you will also learn to store and manage large volumes of data and perform data transformations and analytics using AWS services. The course covers the AWS data ecosystem, data warehousing, querying techniques, and real-time data streams.

    With real-world projects and personalized feedback from experienced data engineering professionals, you will gain hands-on experience and be able to apply your knowledge and skills to real-world scenarios. This program is suitable for both beginners and experienced developers looking to build a career as an AWS Data Engineer.

    Data Engineering on AWS Course Syllabus

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      Course Introduction and Overview

      LIVE TRAINING

      To explore and understand the Content, Structure and basic concepts of the course.

      Course Content
      • Introduction to Course
      • Introduction to Data Engineering
      • Cloud Fundamentals
      • Quick Review of AWS

      Database Foundations

      LIVE TRAINING

      Gain a foundational understanding of Database Fundamentals, SQL database fundamentals,
      including data types, table creation, data manipulation, joins, and aggregate functions. And also to understand the fundamentals of NoSQL databases, including the different types of NoSQL databases, their features, and use cases.
      Course Content
      • Concepts of DBMS
      • SQL Fundamentals
      • NoSQL Fundamentals

      Understanding Data Modelling and Designing

      LIVE TRAINING

      To Learn the principles of data modeling and database design, including the different types of data models and their applications.

      Course Content
      • Introduction to data modeling and database design
      • Conceptual data modeling and Entity-Relationship diagrams
      • Logical data modeling and normalization
      • Physical data modeling and denormalization
      • Indexing and query optimization techniques
      • Ensuring data integrity through constraints and triggers
      • Choosing the appropriate database design for a given scenario
      • Best practices for data modeling and database design

      Python for Data Engineering

      LIVE TRAINING

      To Learn the Core concepts of Python. To Develop proficiency in Python libraries and Master advanced data manipulation and analysis techniques using Pandas in Python

      Course Content
      • Python Essentials
      • Python for Data Engineering – Foundations
      • Python for Data Engineering – Advanced

      Individual Project

      SELF PACED

      This section consists of One Individual Project. Learners gain Practical knowledge on the different topics such as Database Fundamentals, Python for Data Engineering.

      About the Project
      • This section consists of One Individual Project. Learners gain Practical knowledge on the different topics such as Database Fundamentals, Python for Data Engineering.

      Understanding the concepts of Data Engineering

      LIVE TRAINING

      Gain a comprehensive understanding of data engineering, including the principles, tools, and technologies involved in building and maintaining efficient and scalable data systems.

      Course Content
      • Introduction to Data Engineering
      • ETL (Extraction, transform, Load) Processes
      • Data Extraction
      • Data Integration and Transformation
      • Data Loading
      • Explore in depth concepts of Data Engineering

      Exploring Big Data Processing and Open-Source Tools

      LIVE TRAINING

      Understand the fundamentals of Big Data Processing and Open-Source Tools, including Hadoop, Apache Spark, Cassandra, MongoDB, HPCC, Apache Storm, KNIME Analytics Platform, Rapid Miner, and RStudio.

      Course Content
      • Introduction to Big Data Processing and Open-Source Tools
      • Hadoop: A framework for storing and processing large datasets
      • Apache Spark: An analytics engine for processing large-scale data
      • Cassandra and MongoDB: NoSQL databases for Big Data storage and retrieval
      • Distributed computing platforms – HPCC and Apache Storm
      • Working with KNIME Analytics Platform, RapidMiner, and RStudio
      • Open-source tools for Big Data analytics Comparison of Big Data processing

      Dive into Cloud Computing and AWS

      LIVE TRAINING

      To Develop a comprehensive understanding of Cloud Computing and AWS, including its architecture, service and deployment models, key aspects such as regions, AZs, and account creation. To gain knowledge on Amazon Web Services (AWS) including cloud computing, core services, storage and management, security and compliance, pricing and support, architecture and design, and operations and management.

      Course Content
      • Concepts of Cloud Computing
      • AWS Fundamentals
      • Working with AWS

      Mastering Distributed Data Processing using AWS Apache Spark

      LIVE TRAINING

      Understand the fundamentals of distributed data processing using AWS Apache Spark, including its features, use cases, and integration with other AWS services.

      Course Content
      • Overview of distributed data processing using AWS Apache Spark
      • Apache Spark as a distributed processing framework for big data
      • Amazon EMR as a managed service for running Spark on AWS
      • Data processing with Apache Spark on Amazon Sage Maker
      • Building a Spark application on AWS
      • Best practices for distributed data processing using AWS Apache Spark

      Group Project - 1

      HANDS-ON

      This section consists of One Individual Project. Learners gain Practical knowledge on the different topics such as Database Fundamentals, Python for Data Engineering.

      About the Project
      • This section consists of Group Project. Learners gain Hands-On Experience on the Data Engineering tasks using AWS tools such as Lambda, Glue, EMR, Redshift and PySpark

      Working with the Tools for Data Engineering Part - 1 (Hands-on)

      LIVE TRAINING

      Edureka’s Linux Fundamentals Certification Course will help you gain a strong foundation in Linux from scratch. This course will help you master important Linux concepts such as Linux installations, Packages, Architecture, File System, User Management, Scripting Data & various useful commands and utilities with sufficient hands-on. This Linux Fundamentals certification course is also a gateway towards Linux Kernel, Linux Administration and Linux programming.

      Course Content
      • AWS Lambda
      • Development Lifecycle for AWS PySpark
      • Working with AWS Glue
      • Mastering AWS EMR

      Working with the Tools for Data Engineering Part - 2 (Hands-on)

      LIVE TRAINING

      Edureka’s Linux Fundamentals Certification Course will help you gain a strong foundation in Linux from scratch. This course will help you master important Linux concepts such as Linux installations, Packages, Architecture, File System, User Management, Scripting Data & various useful commands and utilities with sufficient hands-on. This Linux Fundamentals certification course is also a gateway towards Linux Kernel, Linux Administration and Linux programming.

      Course Content
      • Building a Streaming Pipeline using Kinesis
      • Working with DynamoDB using Boto3
      • Getting most out of Amazon Athena
      • Getting started with Amazon Redshift

      Group Project - 2

      HANDS-ON 

      To Learn the Core concepts of Python. To Develop proficiency in Python libraries and Master advanced data manipulation and analysis techniques using Pandas in Python

      About the Project
      • This section consists of Group Project. Learners gain Hands-On Experience on the Data Engineering tasks using AWS tools such as Lambda, Glue, EMR, Redshift and PySpark
      Job market overview
      image 2

      AWS Data Engineers are in high demand in the job market due to the increasing need for data-driven decision making. According to Glassdoor, the national average salary for a Data Engineer is $96,774 in the United States, and the demand for AWS Data Engineers is expected to grow exponentially in the coming years. This course will provide you with the necessary skills to excel in this field and stay ahead of the competition.

      What you will learn

      By the end of this course, you will have the skills and knowledge necessary to design and implement scalable data engineering pipelines on AWS using a range of services and tools.

      Course Format
      • Live classes
      • Hands-on trainings
      • Mini-projects for every module
      • Recorded sessions (available for revising)
      • Collaborative projects with team mates in real-world projects
      • Demonstrations
      • Interactive activities: including labs, quizzes, scenario walk-throughs
      What this course includes
      • 200+hrs of live classes
      • Collaborative projects
      • Slide decks, Code snippets
      • Resume preparation from the 2nd week of course commencement
      • 1:1 career/interview preparation
      • Soft skill training
      • On-call project support for up to 3 months
      • Certificate of completion
      • Unlimited free access to our exam engines

      Our students work at

      Prerequisites
      • CS/IT degree or prior IT experience is highly desired
      • Basic programming and cloud computing concepts
      • Database fundamentals

      Why should you take the course with us

      • Project-Ready, Not Just Job-Ready!

      By the time you complete our program, you will be ready to hit the ground running and execute projects with confidence.

      • Authentic Data For Genuine Hands-On Experience

      Our curated datasets sourced from various industries, enable you to develop skills in realistic contexts, tackling challenges in your professional journey.

      • Personalized Career Preparation

      We prepare your entire career, not just your resume. Our personalized guidance helps you excel in interviews and acquire essential expertise for your desired role.

      • Multiple Experts For Each Course

      Multiple experts teach various modules to provide you diverse understanding of the subject matter, and to benefit you with the insights and industrial experiences.

      • On-Call Project Assistance After Landing Your Dream Job

      Get up to 3 months of on-call project assistance from our experts to help you excel in your new role and tackle challenges with confidence.

      • A Vibrant and Active Community

      Get connected with a thriving community of professionals who connect and collaborate through channels like Discord. We regularly host online meet-ups and activities to foster knowledge sharing and networking opportunities.

      FAQs

      Tools Covered

      Course Completion Certification

      Data Engineering Sample Certificate

      Foundation Level

      Session 100:00
      Session 200:00
      Session 300:00
      Session 400:00
      Session 500:00
      Session 600:00
      Session 700:00
      Session 800:00
      Session 900:00

      Intermediate Level

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