Database Intermediate Premium

Data Warehouse Design and ETL Optimization Virtual Internship

In this 12-week virtual internship, students will learn to design and implement scalable data warehouses, optimize data transformation workflows, and build robust data pipelines using tools like Apache Airflow, Apache Kafka, and Apache Spark. They will gain hands-on experience in data modeling, ETL (Extract, Transform, Load) processes, and performance tuning to ensure efficient data processing and analysis.

weeks
8 tasks
0 enrolled
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Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Design a Data Warehouse Schema

Intermediate

In this task, students will design a data warehouse schema for a given business scenario, including fact and dimension tables, and implement the schema in a relational database.

15 hours

Optimize Data Warehouse Performance

Intermediate

In this task, students will learn techniques to optimize the performance of a data warehouse, including indexing, partitioning, and materialized views.

10 hours

Implement a Data Ingestion Pipeline with Apache Airflow

Intermediate

In this task, students will build a data ingestion pipeline using Apache Airflow to extract data from various sources, transform it, and load it into the data warehouse.

20 hours

Optimize Data Transformation with Apache Spark

Intermediate

In this task, students will use Apache Spark to optimize the data transformation process within the data ingestion pipeline.

15 hours

Implement a Kafka-based Data Ingestion Pipeline

Intermediate

In this task, students will build a Kafka-based data ingestion pipeline to ingest real-time data from various sources and feed it into the data warehouse.

20 hours

Integrate Kafka with Apache Spark for Streaming Transformations

Intermediate

In this task, students will learn how to integrate Apache Kafka with Apache Spark to perform real-time data transformations within the data ingestion pipeline.

15 hours

Analyze and Optimize the Data Warehouse

Intermediate

In this task, students will analyze the existing data warehouse and implement optimization strategies to improve its performance and scalability.

20 hours

Optimize the Data Ingestion and Transformation Pipeline

Intermediate

In this task, students will analyze the existing data ingestion and transformation pipeline and implement optimization strategies to improve its performance, reliability, and scalability.

20 hours

Prerequisites

  • • Intermediate SQL skills
  • • Basic understanding of data modeling and database design

Certificate

Certificate of Completion

Earn a certificate upon successful completion