
Leverage Apache Spark to process large-scale web log data and generate fast, scalable reports for performance, user behavior, and security, using in-memory queries and Zeppelin visual dashboards.
Explore a real e-commerce weblog use case to transform and analyze site visits with Apache Spark and Zeppelin, building a data reporting pipeline from raw logs to dashboards.
Perform a hands-on setup by editing /etc/profile and adding four lines to set JAVA_HOME, PATH, and JRE path so Java remains available system-wide.
Create, edit, and run paragraphs in Apache Zeppelin using Spark or SQL interpreters, with Markdown and visualizations. Keep one task per paragraph to build a clear data pipeline.
Learn to use Apache Zeppelin by creating and running paragraphs in notebooks, selecting the Spark interpreter, and managing outputs from the Zeppelin UI via localhost:8080.
Register a Spark data frame as a temp view to interact with it via Spark sql, enabling sql queries on weblog and clarifying global temp view versus temp view.
Analyze referring domains to quantify traffic, orders, and revenue from weblog reports using Spark SQL, enabling data-driven budgeting and optimized marketing funnels.
Analyze target domains with Spark SQL to compute session counts and revenue by domain, parsing revenue from normalized target paths to compare marketplace performance.
Analyze top search queries with Apache Spark SQL by extracting terms from weblogs, counting and sorting them to inform seo strategies, content alignment, and product trends.
Generate a payment type report using Apache Spark SQL on the Wisp dataset to count payment method occurrences. Identify preferred cards and visualize results with a pie chart.
Generate a browser usage report for shoppers by analyzing user agent data from weblogs and visualize it with a bar chart to guide ui/ux decisions and testing.
Are you ready to master Apache Spark by working on a real-world weblog reporting project?
If you’ve ever wanted to analyze website user activity, generate meaningful insights from weblogs, and build interactive reports with Spark SQL and Apache Zeppelin, this course is designed for you.
Weblogs are one of the richest sources of user behavior data for eCommerce, digital platforms, and modern businesses. They capture every click, page view, referral, session, and transaction. In this course, you’ll learn step by step how to transform raw weblog data into actionable business reports using Apache Spark.
This is not just another Spark theory course — you’ll get hands-on experience by building a complete end-to-end weblog reporting project, from environment setup to data exploration, SQL queries, and interactive dashboards.
By the end of this course, you will have the skills and confidence to work with weblog datasets and present insights in a way that businesses care about.
What makes this course unique?
Project-Based Learning – You won’t just learn Spark, you’ll build a weblog analytics solution step by step.
Hands-On with Apache Zeppelin & Databricks – Get comfortable working with Spark in real-world tools.
Real Dataset with 41 Attributes – Learn how to explore, clean, and analyze raw weblog data.
Report Generation – Build 12+ key reports like session reports, page views, new visitor reports, referral domains, device/browser usage, and more.
End-to-End Workflow – From environment setup (Java, Zeppelin, Docker, Spark) to SQL queries and publishing results.
What you’ll learn in this course
Understand what weblogs are and why they are critical for analytics.
Set up your Big Data environment with Java, Docker, Apache Zeppelin, and Spark.
Work with RDDs, DataFrames, and Spark SQL for data analysis.
Import and explore a 41-column weblog dataset in Spark.
Generate business-focused reports such as:
Session Report
Page Views Report
New Visitor Report
Referring Domains & URLs Report
Target Domains Report
Search Queries Report
Device Type, Browser, Screen Resolution Report
Payment & Connection Type Report
Use visualizations in Zeppelin (tables, bar charts, pie charts, etc.) to present insights.
Deploy and share your project on Databricks for cloud-based execution.
Publish and present your final project like a real Data Engineer/Analyst.
Tools & Technologies Used
Apache Spark (RDDs, DataFrames, Spark SQL)
Apache Zeppelin (interactive notebooks & visualizations)
Databricks (cloud Spark environment)
Docker (for Spark & Zeppelin setup on Windows)
Linux/Ubuntu (for Zeppelin installation)
Java (Spark prerequisite)
Who this course is for
Aspiring Data Engineers, Data Analysts, and Big Data Developers.
Students and professionals preparing for real-world Spark projects.
Anyone who wants to analyze weblogs for business insights (eCommerce, websites, apps).
Beginners who know a bit of SQL/Python/Scala and want practical Spark experience.
Professionals transitioning into Big Data & Analytics roles.
By the end of this course, you’ll be able to:
Confidently work with Spark SQL for weblog analytics.
Generate insightful reports that showcase user behavior, engagement, and technology usage.
Present your analysis through Zeppelin dashboards and Databricks notebooks.
Add a real-world Spark project to your portfolio.
If you’re looking for a practical, hands-on project that teaches Spark in a business-relevant way, this course is the perfect fit.
Enroll now and start generating weblog reports with Apache Spark like a pro!