Name: Learn Apache Spark to Generate Weblog Reports for Websites
Availability: InStock

What You'll Learn

Understand the fundamentals of weblog data and its importance for eCommerce and online platforms.
Explore the 41 attributes of a weblog dataset and learn how they map to real-world website activity.
Install and configure Apache Spark, Spark SQL, and Apache Zeppelin on both Ubuntu and Windows (Docker-based) environments.
Work with Spark DataFrames and Spark SQL to clean, transform, and analyze weblog data.
Build end-to-end weblog reports, including: Session Reports, Page Views Reports, New Visitor Reports
Referring Domains & Referring URL Reports, Target Domains Reports, Top IP Address Reports, Search Query Reports, Device, Browser, and Network Analysis Reports
Master data visualization in Apache Zeppelin, using charts like bar, pie, and line graphs to bring your reports to life.
Optimize Spark queries and learn basic job performance tracking and tuning.
Publish your Databricks or Zeppelin notebooks as shareable reports for business stakeholders.
Gain hands-on project experience with real-world weblog data, preparing you for data engineering and analytics roles.

Requirements

Basic knowledge of SQL and Python/Scala is helpful, but not mandatory.
Familiarity with data analysis concepts is useful, though we cover everything step by step.
A computer with Windows 10/11 or Ubuntu/Linux (setup instructions included in the course).
No prior experience with Apache Spark or Apache Zeppelin required — we’ll learn everything from scratch.

Data Engineers & Data Analysts who want hands-on experience building real-world reports using Apache Spark.
Big Data enthusiasts eager to learn how Spark and Zeppelin can be used for large-scale weblog analytics.
eCommerce professionals, digital marketers, and web analysts who want to understand and report on website user behavior.
Students or job seekers preparing for careers in Big Data, Data Engineering, or Analytics.
Anyone who wants to transform raw weblogs into meaningful business insights using Spark.

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