Apache Spark Project World Development Indicators Analytics
World Development Indicators Analytics Project in Apache Spark for beginner using Databricks (Unofficial)
Updated on Oct, 2024
Language - English
Development ,Database and Design Development,
Lectures -33
Resources -3
Duration -1 hours
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Course Description
In this Apache Spark course, you will learn to Analyze data (World Bank Dataset) 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 Analysis job.
2) Learn basics of Databricks notebook by enrolling into Free Community Edition Server
3) World Development Indicators Analytics Project a real world examples.
4) Graphical Representation of Data using Databricks notebook.
5) Publish the Project on Web to Impress your recruiter
6) Hands-on learning
About Databricks:
Databricks lets you start writing Spark queries instantly so you can focus on your data problems.
Let's discover more about the World Development Indicators Analytics Project using Apache Spark
Data:
The World Development Indicators from the World Bank contain over a thousand annual indicators of economic development from hundreds of countries around the world.
Goals
- In this course you will learn to Analyze data (World Development Indicators data) in Apache Spark using Databricks Notebook (Community edition)
- Data: The World Development Indicators from the World Bank contain over a thousand annual indicators of economic development from hundreds of countries around the world.
- 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 Analysis job.
- Learn basics of Databricks notebook by enrolling into Free Community Edition Server
- World Development Indicators Analytics 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
Prerequisites
- 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.
Curriculum
Check out the detailed breakdown of what’s inside the course
Apache Spark Project World Development Indicators Analytics Project
32 Lectures
-
Introduction
02:17
02:17
-
Download Resources
-
File level details
00:53
00:53
-
(Old) Free Account creation in Databricks
01:51
01:51
-
(New) Free Account Creation in Databricks
01:50
01:50
-
Importing Databricks Notebook
02:03
02:03
-
Overview and Project Objective
01:51
01:51
-
File Content Explaination
02:31
02:31
-
Launch Spark Cluster
02:14
02:14
-
Spark Notebook Basics
06:30
06:30
-
Loading data into Spark Dataframe
08:50
08:50
-
GINI Index
06:14
06:14
-
Youth Literacy Rate
04:38
04:38
-
Trade as a percentage of GDP for China and India
02:43
02:43
-
Exports of goods and services
03:01
03:01
-
Import of goods and services
01:36
01:36
-
GDP per capita
01:52
01:52
-
Poverty Alleviation
01:04
01:04
-
Life Expectancy at birth, total (years)
01:38
01:38
-
Urban Population growth
01:32
01:32
-
Infant Mortality
01:14
01:14
-
The 10 Countries with Lowest Average Income in 1962/2014
02:08
02:08
-
The 10 Countries with Highest Average Income
01:10
01:10
-
Average Income from 1960-2014 in Rich Countries
01:57
01:57
-
Average Income from 1960-2014 in Poor Countries
01:32
01:32
-
Average Income in 1962
01:10
01:10
-
Average Income in 2014
01:19
01:19
-
Life Expectancy in France 1960-2013
01:08
01:08
-
G-7 Country Birth Rates 1960-2013
01:14
01:14
-
World Per Capita Income in 2013
01:14
01:14
-
Publish Notebook to the Web
01:15
01:15
-
Thank you
00:20
00:20
Instructor Details
Bigdata Engineer
I am Solution Architect with 12+ year’s of experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes
My role as Bigdata and Cloud Architect to work as part of Bigdata team to provide Software Solution.
Responsibilities includes,
- Support all Hadoop related issues
- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies
- Analyse and Define pros and cons of various technologies and platforms
- Define use cases, solutions and recommendations
- Define Big Data strategy
- Perform detailed analysis of business problems and technical environments
- Define pragmatic Big Data solution based on customer requirements analysis
- Define pragmatic Big Data Cluster recommendations
- Educate customers on various Big Data technologies to help them understand pros and cons of Big Data
- Data Governance
- Build Tools to improve developer productivity and implement standard practices
I am sure the knowledge in these courses can give you extra power to win in life.
All the best!!
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