Learn Apache Spark to Generate Weblog Reports for Websites
Duration: 1h9m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 461 MB
Genre: eLearning | Language: English
Learn how to use Apache Spark to find out statistics about website(eCommerce) and the way to improve it using Databricks

What you'll learn
In this course you will learn to create Weblog Report Generation for Ecommerce website log in Apache Spark using Databricks Notebook (Community edition)
Data: The data is Weblog or Website log of Ecommerce Server (Unreal Data or Morph data for Training Purpose)
Basics flow of data in Apache Spark, loading data, and working with data, this course shows you how Apache Spark is perfect for Big Data Reporting Engine job.
Learn basics of Databricks notebook by enrolling into Free Community Edition Server
Ecommerce Weblog Tracking Report generation Project a real world examples.
Graphical Representation of Data using Databricks notebook.
Transform structured data using SparkSQL and DataFrames
Publish the Project on Web to Impress your recruiter

Requirements
Apache Spark basic fundamental knowledge is required and SQL Basics
Following browsers on Windows and macOS desktop:
Google Chrome (Latest version), Firefox (Latest version), Safari (Latest version), Microsoft Edge* (Latest version)
Internet Explorer 11* on Windows 7, 8, or 10 (with latest Windows updates applied)
*You might see performance degradation for some features on Microsoft Edge and Internet Explorer.
The following browsers are not supported:
Mobile browsers.
Beta, "preview," or otherwise pre-release versions of desktop browsers.
Description
Apache Spark is a flexible and fast framework designed for managing huge volumes of data. The engine supports the use of multiple programming languages, including Python, Scala, Java, and R. Therefore, before starting to learn Apache Spark use, you might want to focus on one of these languages.

In this Apache Spark tutorial, we will be focusing on the eCommerce weblog report generation. For companies that are highly dependent on their web presence and popularity, it is crucial to determine the factors that might be related to a successful eCommerce strategy. As a result, some business-owners consider analyzing weblogs. During Apache Spark training, you will be introduced with a variety of reports that you can generate from these weblogs.

What is Apache Spark?

To learn Apache Spark, you need to be introduced to the basic principles of this engine. First of all, it is a framework for improving speed, simplicity of use, and streaming analytics spread by Apache. Apache Spark is an extremely efficient tool for performing data processing analysis.

What are weblogs?

A weblog can provide you with insightful information about how your visitors act on your website. By definition, weblog records the actions of users. They might be useful when aiming to determine which parts of your website attract the most attention. Logs can reveal how people found your website (for instance, search engines) and which keywords they used for searches.

What will you find in this course?

In this course for people that have chosen to learn Apache Spark, we will be focusing on a practical project to improve your skills. There will be some basics of how to use Spark, but you are expected to have a decent understanding of the way it works.

For our project, you will have to download скачать several files: they are a must for this Spark tutorial. Then, we will start by exploring file-level details and the process of creating a free account in DataBricks.

The aim of the project in this course to learn Apache Spark is to review all of the possible reports that you can conduct from the weblogs. We will be retrieving critical information from the log files. For this purpose, we will use the DataBricks Notebook. As a brief reminder: DataBricks allows you to write Spark queries instantly without having to focus on data problems. It is considered as one of the programs to help you manage and organize data.

We will learn how to use Spark to generate various types of reports. For instance, a session report provides information about the session activity, referring to the actions that a user with a unique IP performs during a specified period. The number of user sessions determines the amount of traffic that websites receive.

This Apache Spark training course will also focus on a pageview report, which determines how many pages were viewed during a specified time. Additionally, you will learn about a new visitor report, indicating the number of new users that have visited the website during a given time.

To learn Apache Spark better, you will be introduced with referring domains report, target domains report, top IP addresses report, search query report, and more!

In this course, you will learn to create Weblog Report Generation for Ecommerce website log in Apache Spark using Databricks Notebook (Community edition),

1) Basics flow of data in Apache Spark, loading data, and working with data, this course shows you how Apache Spark is perfect for Big Data Reporting Engine.

2) Learn                                                                                                                                                                                                         the basics of Databricks notebook by enrolling into Free Community Edition Server

3) Ecommerce Weblog Tracking Report generation Project real-world example.

4) Graphical  Representation of Data using Databricks notebook.

5) Create a Data Pipeline

6) Launching Spark Cluster

7) Process that data using Apache Spark

8) Publish the Project on Web to Impress your recruiter

About Databricks:

Databricks lets you start writing Spark queries instantly so you can focus on your data problems.

Let's discover more about the Ecommerce Weblog Tracking Report generation Project using Apache Spark

Data:

The data is Weblog or Website log of Ecommerce Server (Unreal Data for Training Purpose)

Who this course is for:
Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer

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