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Development Software Engineering Apache Spark

Apache Spark Project World Development Indicators Analytics

World Development Indicators Analytics Project in Apache Spark for beginner using Databricks (Unofficial)
Rating: 3.7 out of 53.7 (36 ratings)
12,615 students
Created by Bigdata Engineer
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • 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

Course content

3 sections • 31 lectures • 1h 9m total length

  • Preview02:17

  • Download Resources
    00:04

  • Preview00:53
  • Preview01:51
  • Importing Databricks Notebook
    02:03
  • Preview01:51
  • File Content Explaination
    02:32
  • Launch Spark Cluster
    02:15
  • Spark Notebook Basics
    06:30
  • Preview08:50
  • GINI Index
    06:14
  • Youth Literacy Rate
    04:38
  • Trade as a percentage of GDP for China and India
    02:43
  • Exports of goods and services
    03:01
  • Import of goods and services
    01:36
  • GDP per capita
    01:52
  • Poverty Alleviation
    01:04
  • Life Expectancy at birth, total (years)
    01:38
  • Urban Population growth
    01:32
  • Infant Mortality
    01:15
  • The 10 Countries with Lowest Average Income in 1962/2014
    02:08
  • The 10 Countries with Highest Average Income
    01:10
  • Average Income from 1960-2014 in Rich Countries
    01:58
  • Average Income from 1960-2014 in Poor Countries
    01:32
  • Average Income in 1962
    01:10
  • Average Income in 2014
    01:20
  • Life Expectancy in France 1960-2013
    01:08
  • G-7 Country Birth Rates 1960-2013
    01:14
  • World Per Capita Income in 2013
    01:14
  • Preview01:16
  • Bonus Lecture
    00:52

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

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.

Lets 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.



Who this course is for:

  • Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer

Instructor

Bigdata Engineer
Bigdata Engineer
Bigdata Engineer
  • 3.3 Instructor Rating
  • 261 Reviews
  • 15,297 Students
  • 20 Courses

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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