Course Description

In today’s data-driven world, organizations rely on efficient data pipelines to collect, process, analyze, and visualize data for decision-making. This course provides a comprehensive, hands-on approach to building end-to-end data pipelines, covering key concepts, technologies, and best practices. By the end of the course, learners will have the skills to design, implement, and optimize scalable data pipelines using industry-standard tools.

• Fundamentals of data pipelines and their importance
• Data ingestion techniques for structured and unstructured data
• Storage strategies using SQL, NoSQL, and data lakes
• Data processing and transformation using Apache Spark and Flink
• Exploratory data analysis and machine learning for insights
• Data visualization and dashboard creation for reporting

• Understanding the role of data pipelines in modern analytics
• Key components of a data pipeline
• ETL vs. ELT pipeline architectures

• Data sources and formats: CSV, JSON, Parquet
• Batch vs. real-time data ingestion
• Tools for ingestion: Apache Kafka, Sqoop, Airflow

• Overview of storage solutions: Databases vs. Data Lakes
• SQL vs. NoSQL databases for efficient data management
• Data governance, security, and role-based access control

• Data cleaning techniques: Handling missing values and outliers
• Data standardization and transformation best practices
• Real-time data processing with Apache Spark Streaming and Flink

• Exploratory Data Analysis (EDA) using Pandas, Matplotlib, and Seaborn
• Descriptive statistics, correlation analysis, and trend discovery
• Introduction to machine learning for predictive insights with Spark MLlib

• Best practices for data storytelling and visualization
• Designing interactive dashboards with Power BI and Tableau
• Connecting real-time data to dashboards for live reporting

• Data analysts, engineers, and scientists looking to build scalable data workflows
• IT professionals and developers working with big data technologies
• Anyone interested in data-driven decision-making and business intelligence

This course provides hands-on experience with industry-leading tools, helping learners build practical expertise in designing and managing end-to-end data pipelines. By the end of the course, participants will be equipped with the skills to implement robust, scalable, and efficient data solutions.

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