Data Engineering Course with Placement Support

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    Data Engineering course

    About The Course

    Data Engineering Course, This Course is focuses on equipping students with skills, knowledge, and practical’s necessary for developing and managing contemporary data engineering projects. In a world that is increasingly data, driven, companies require strong data pipelines, scalable architectures, and cloud, based solutions to not only harness the value of enormous amounts of data but also to be ready for data engineer jobs.

    At GTR Academy, we intend to do this in a very detailed manner starting from the very basic concepts of data engineering like SQL and Python, then moving on to big data processing solutions like Hadoop and Spark, followed by cloud solutions (AWS), and then pushing towards ETL, Data Warehousing, DevOps, and Data Security concepts.

    Moreover, our Data Engineering also covers courses like Data Structures, Algorithms, and System Design that enable students to have the knowledge and skills required to create scalable and high, performing systems, and get a Data Engineer Certification. With its perfect blend of theories, lab exercises, and live projects, this course molds learners into an industry, ready Data Engineer Roadmap.

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    Data Engineering Course Curriculum

    Module – 1 Structured Query Language

    Introduction to SQL                                                  

    • Database Normalization and Entity Relationship Model                                                  
    • SQL Operators                                                             
    • Join, Tables, and Variables in SQL                                                   
    • Deep Dive into SQL Functions                                                           
    • Subqueries in SQL                                                     
    • SQL Views, Functions, and Stored Procedures                                                       
    • User-defined Functions in SQL                                                         
    • SQL Optimization and Performance                                                              
    • SQL Parsing                                                   
    • Managing Database Concurrency                                                   
    • Introduction to NoSQL: MongoDB                  
    • What is Python?                                                          
    • Flowcharts, Data Types, Operations                                                              
    • Conditional Statements & Loops                                                    
    • Strings                                               
    • In-build Data Structures – List, Tuples, Dictionary,                                                              
    • Set, Matrix Algebra, Number Systemx                                                          
    • Basics of Time & Space Complexity                                                               
    • OOPS                                                 
    • Functional Programming                                                      
    • Exception Handling & Modulex                                                         
    • Python Libraries: Numpy, Pandas, Matplotlib, Seaborn, Plotly etc.           

    Big Data Frameworks

    Hadoop

    • HDFS
    • YARN
    • MapReduce

    Apache Spark                               

    • Spark core concepts: RDDs, DataFrames, and SparkSQL
    • Parallel processing and distributed computing with Spark
    • Spark for data transformation, aggregation, and analytics
    • Powerful data processing with PySpark for scalable analytics

    Distributed Databases

    • CAP Theorem, consistency, availability, partition tolerance
    • Cassandra, HBase: Columnar data stores for largescale datasets

    Real-World Big Data Pipeline

    • Design and implement a basic pipeline using Hadoop or Spark
    • Data storage, transformations, and querying                          

    Data Streaming                                           

    • Introduction to streaming data
    • Apache Kafka: Basics
    • Stream processing with Spark Streaming

    Advance Cloud Services                        

    AWS                                    

    • AWS EMR                                        
    • OnPrem vs Cloud                                       
    • HDFS vs S3                                     
    • What is S3                                       
    • EC2                                     
    • Elastic IP                                          
    • AWS storage, networking                                      
    • S3 and EBS                                     
    • AWS Glue                                        
    • AWS Redshift                                
    • ETL Pipelines
    • ETL concepts: Extract, Transform, Load                     
    • Data ingestion and transformation                
    • Tools: Apache NiFi, AWS Glue                                                            

    Data Warehousing                                    

    • Star Schema  
    • Snowflakes Schemas
    • Introduction to cloud data warehouses: Redshift, Big Query
    • OLAP vs OLTP
    • Advance Data Engineering                                   
    • High-availability and fault-tolerant designs                                              
    • Scalability Strategies                                                                                            
    • DevOps for Data Engineering
    • CI/CD Pilelines, Jenkins & Gitlab
    • Infrastructure as Code: Terraform                   
    • Containerization: Docker, Kubernetes                                                                         
    • Data Security                                 
    • Data Encryption                                          
    • Authentication and RBAC

    Data Structures and Algorithms                                       

    • Arrays, hashmaps                                     
    • Stacks, queues                                            
    • Trees (binary trees, heaps)                                   
    • Graphs, sorting (QuickSort, MergeSort)                                       
    • Time and space complexity                                                   

    System Design                                             

    • Scalable and fault-tolerant systems                                             
    • Data warehousing Design                                    
    • Scalable and fault-tolerant systems                                             
    • Data warehousing Design

    Who is this course for ?

    Why Choose This Course?

    Training Delivery

    Discovery call

    A call to evaluate training requirements and adjust course and delivery accordingly.

    Tech call with the Certified Instructor

    A call with the Certified Instructor to address specific queries and requirements.

    Design of Customized Curriculum

    Tailored curriculum to meet specific learning objectives and organizational needs.

    Training and Access to LMS

    Commencement of training sessions along with access to the Learning Management System.

    Live training

    Live training sessions conducted in real time to facilitate interactive learning experiences.

    Hands on Role Based training with Labs

    Interactive training featuring hands on exercises and specialized labs tailored to specific skillset

    Course Materials Access using LMS

    Access course materials conveniently through the Learning Management System.

    Student Progress Metrics

    Monitor student progress through comprehensive metrics and analytics.

    Final Quiz in Gamification style

    Concluding the training with a gamified final quiz to engage learners and reinforce key concepts.

    Certificate of Completion (Verifiable)

    Participants provided with a verifiable Certificate of Completion upon successfully finishing the training.

    Student Video Testimonial

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    success stories about their transformative learning journeys at our institution.

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