Data Engineer Course

Explore our Data Engineer Course, designed to equip you with practical skills in data engineering, from ETL and data warehousing to cloud deployment and optimization techniques.

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Total Courses

Level

Beginner

Duration

25 Days

Schedule

Flexible

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Key Features Of This Course

Foundational Concepts: Covers data modeling, ETL processes, and data warehousing fundamentals.

Hands-on Experience: Utilizes tools and technologies like Apache Spark, Hadoop, SQL, and NoSQL databases for practical learning.

Scalable Data Pipelines: Teaches design and construction of scalable data pipelines to integrate diverse data sources ensuring quality and reliability.

Cloud Computing: Master cloud platforms like AWS, Azure, or Google Cloud for deploying and managing scalable data infrastructure.

Optimization Techniques: Focuses on performance tuning, optimization, and real-time data processing for modern data applications.

SKILLS COVERED

Data Architecture

Database Management

Big Data Technologies

Cloud Services

Data Modeling

Business Intelligence Tools

ETL Processes

Data Pipeline Automation

Course Details

Introduction to Data Engineering

1. Role of a Data Engineer
2. Data engineering lifecycle

Data Storage and Management

1. Relational & NoSQL databases
2. Introduction to Hadoop & Amazon S3

Data Modeling and Architecture

1. Relational vs. NoSQL data modeling approaches
2. Apache Airflow and Luigi

Data Pipeline Orchestration

1. Workflow management tools (Apache Airflow)
2. Pipeline Monitoring and Management

Data Quality and Validation

1. Data Validation Techniques
2. Handling missing and erroneous data
3. Data Quality Frameworks

Security and Privacy

1. Data Encryption
2. Access Control and Authorization

Big Data Technologies

1. Hadoop Ecosystem
2. Spark and Distributed Computing
3. NoSQL Databases

Data Integration and APIs

1. Connecting to External Data Sources
2. Data Integration Patterns

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JOB ROLES

Data Engineer

ETL Developer

Big Data Engineer

Frequently Asked Questions

What is Data Engineering?

Data engineering involves the design, construction, and maintenance of data infrastructure and architecture for the purpose of collecting, storing, and analyzing data. It focuses on developing robust data pipelines, optimizing data workflows, and ensuring data quality and reliability to support data-driven decision-making and business operations.

Define Hadoop Streaming

Hadoop Streaming is a utility that allows users to create and run MapReduce jobs with any executable or script as the mapper and/or reducer. It enables the integration of non-Java applications into the Hadoop ecosystem for processing large datasets.

What is data modeling?

Data modeling is the process of creating a conceptual representation of data and its relationships within a system. It involves defining the structure, constraints, and rules that govern how data is stored and accessed in a database or data warehouse.