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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | MIT Cambridge |
The fees for course Data Engineering Course is -
| Head | Amount |
| Total Admission Fee | ₹ 1,59,030 (Inclusive of All) |
| EMI Starts at | ₹ 8,000 |
The Syllabus
- 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
- Python Basics
- OOPs Concept
- NumPy
- Pandas
- Data Visualization
- File Handling
- Exception Handling
- Regular Expressions Fundamentals
- Introduction to Linux
- File System Navigation
- File and Text Manipulation
- User and Group Management
- Process Management
- System Configuration and Networking
- System Monitoring and Logging
- Shell Scripting
- Security and Permissions
- Advanced Linux Commands
- Basic Concepts of Data Modelling
- Business Data Requirements – Entities and Classes
- Business Data Requirements – Attributes
- How To Link Things Together – Relationships
- Requirements Analysis
- Conceptual Data Modeling
- Logical Data Modeling
- Physical Data Modelling
- Data Modelling Tools and Techniques
- Data Modelling Documentation and Communication
- AWS Basics
- Amazon Kinesis
- Amazon MSK (Managed Streaming for Apache Kafka)
- AWS Glue
- Amazon EMR (Elastic MapReduce)
- Amazon S3 (Simple Storage Service)
- Amazon S3 Glacier
- DynamoDB
- AWS Redshift
- Amazon Athena
- Amazon QuickSight
- Introduction to Microsoft Azure
- Authentication, Authorization, and Monitoring
- Data Storage and Integration
- Azure Synapse Analytics and Databricks
- Azure Stream Analytics, and Azure Service Bus
- Introduction to Airflow
- Introduction to Airflow
- Testing a Task in Airflow
- Examining Airflow Commands
- Airflow DAGs
- Defining a Simple DAG
- Working With DAGs and the Airflow Shell
- Troubleshooting DAG Creation
- Airflow Web Interface
- Starting the Airflow Webserver
- Navigating the Airflow UI
- Examining DAGs With the Airflow UI
- Airflow Operators
- Defining a BashOperator Task
- Multiple BashOperator
- Airflow Tasks
- Define Order of BashOperator
- Determining the Order of Tasks
- Troubleshooting DAG Dependencies
- Additional Operators
- Using the PythonOperator
- More PythonOperator
- EmailOperator and Dependencies
- Airflow Scheduling
- Schedule a DAG via Python
- Deciphering Airflow Schedules
- Troubleshooting DAG Runs
- Introduction to Apache Spark
- PySpark SQL and Data Frames
- Apache Kafka and Flume
- PySpark Streaming
- Introduction to PySpark Machine Learning
- Introduction to DevOps
- Git
- Docker
- Kubernetes
- Jenkins
- Introduction to Power BI
- Data Extraction
- Data Transformation – Shaping & Combining Data
- Data Modeling & DAX (Data Analysis Expressions)
- Data Visualization with Analytics
- Power BI Service (Cloud), Q & A, and Data Insights
- Power BI Settings, Administration & Direct Connectivity
- Embedded Power BI with API & Power BI Mobile
- Power BI Advance & Power BI Premium
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