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Apache Superset for Data Engineers (Hands On)

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Apache Superset for Data Engineers (Hands On), available at $49.99, has an average rating of 3.59, with 139 lectures, based on 210 reviews, and has 1393 subscribers.

You will learn about Understanding of basic architecture of Apache Superset Installing and Configuring Apache Superset Connecting to Database Install Database Drivers Access Database table in Apache Superset (MySQL) Enabling Upload a CSV Obtaining & loading data Table Visualization Creating Chart and Dashboard (30+ Charts) Frequently asked Questions This course is ideal for individuals who are Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer or You should take this course if want to learn Apache Superset completely from scratch It is particularly useful for Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer or You should take this course if want to learn Apache Superset completely from scratch.

Enroll now: Apache Superset for Data Engineers (Hands On)

Summary

Title: Apache Superset for Data Engineers (Hands On)

Price: $49.99

Average Rating: 3.59

Number of Lectures: 139

Number of Published Lectures: 139

Number of Curriculum Items: 139

Number of Published Curriculum Objects: 139

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understanding of basic architecture of Apache Superset
  • Installing and Configuring Apache Superset
  • Connecting to Database
  • Install Database Drivers
  • Access Database table in Apache Superset (MySQL)
  • Enabling Upload a CSV
  • Obtaining & loading data
  • Table Visualization
  • Creating Chart and Dashboard (30+ Charts)
  • Frequently asked Questions

Who Should Attend

  • Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
  • You should take this course if want to learn Apache Superset completely from scratch

Target Audiences

  • Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
  • You should take this course if want to learn Apache Superset completely from scratch

Apache Superset is a modern data exploration and visualization platform. Apache Superset is a modern, enterprise-ready business intelligence web application. It is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple pie charts to highly detailed geospatial charts.

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Superset! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA,and more are all using Apache Superset!

Introduction

  • Apache Superset

  • Apache Superset Architecture

Installation

  • Ubuntu (Linux)

Connecting to Database

  • Install Database Drivers

  • Database Connection String

  • Access Database table in Apache Superset (MySQL)

  • Enabling Upload a CSV

  • Obtaining & loading data

  • Table Visualization

Creating Chart and Dashboard

  • Line Chart

  • Bar Chart

  • Area Chart

  • Time Series Bar Chart

  • Pie Chart

  • And many more charts

Frequently asked Questions

  • FAQS for Apache Superset

Superset provides:

  • An intuitive interface for visualizing datasets and crafting interactive dashboards

  • A wide array of beautiful visualizations to showcase your data

  • Code-free visualization builder to extract and present datasets

  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser

  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics

  • Out-of-the-box support for most SQL-speaking databases

  • Seamless, in-memory asynchronous caching and queries

  • An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.

  • Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)

  • The ability to add custom visualization plugins

  • An API for programmatic customization

  • A cloud-native architecture designed from the ground up for scale

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Course

Lecture 2: What is Apache Superset?

Lecture 3: Business Intelligence

Lecture 4: Apache Superset Architecture

Chapter 2: Installation and Configuration

Lecture 1: Installation Discussion

Lecture 2: Installing Apache Superset on Ubuntu 20.04 (Linux)

Lecture 3: (Hands On) Step by Step Installing Apache Superset on Ubuntu 20.04

Lecture 4: (Hands On) Step for Installing Apache Superset on Windows using Docker Desktop

Lecture 5: Download modified commands for Apache Superset on Docker Desktop

Lecture 6: Installing Superset Locally Using Docker Compose

Lecture 7: Upgrading Superset (Optional)

Lecture 8: (Hands On) Steps to Start and Stop Apache Superset on Ubuntu 20.04

Lecture 9: Commands to Start and Stop Apache Superset

Lecture 10: (Optional) How to run Apache Superset on Windows using Virtual Machine

Lecture 11: Practice Apache Superset without Installing

Lecture 12: Tips to Improve Your Course Taking Experience

Chapter 3: Connecting to Databases

Lecture 1: Databases supported by Apache Superset

Lecture 2: Install Database Drivers

Lecture 3: (Hands On) Connection to MySQL and view Data in Apache Superset Part 1

Lecture 4: (Hands On) Connection to MySQL and view Data in Apache Superset Part 2

Lecture 5: Commands for Connecting to MySQL from Apache Superset

Lecture 6: Uploading CSV file Data into Apache Superset

Lecture 7: Visualizing Uploaded CSV file in Apache Superset

Lecture 8: (Hands On) Connection to Apache Drill and view Data in Apache Superset

Lecture 9: (Hands On) Connection to HIVE and view Data in Apache Superset

Chapter 4: Creating Charts and Dashboards

Lecture 1: (Latest) Line Chart(Hands On)

Lecture 2: (Old) Line Chart (Hands On)

Lecture 3: (Latest) Big Number with TreandLine Chart (Hands On)

Lecture 4: (Old) Big Number with TreandLine Chart (Hands On)

Lecture 5: (Latest) Table (Hands On)

Lecture 6: (Old) Table (Hands On)

Lecture 7: (Latest) Bar Chart Legacy (Hands On)

Lecture 8: (Latest) Bar Chart (Hands On)

Lecture 9: (Old) Bar Chart (Hands On)

Lecture 10: (Latest) Area Chart (Hands On)

Lecture 11: (Old) Area Chart (Hands On)

Lecture 12: Time Series Bar Chart (Hands On)

Lecture 13: (Latest) deck.gl Polygon (Hands On)

Lecture 14: (Old) deck.gl Polygon (Hands On)

Lecture 15: (Latest) Pie Chart (Hands On)

Lecture 16: (Old) Pie Chart (Hands On)

Lecture 17: (Latest) Time Series Table (Hands On)

Lecture 18: (Old) Time Series Table (Hands On)

Lecture 19: (Latest) Pivot Chart (Hands On)

Lecture 20: (Old) Pivot Chart (Hands On)

Lecture 21: (Latest) Histogram (Hands On)

Lecture 22: (Old) Histogram (Hands On)

Lecture 23: (Latest) Big Number (Hands On)

Lecture 24: (Old) Big Number (Hands On)

Lecture 25: (Latest) deck.gl Scatterplot (Hands On)

Lecture 26: (Old) deck.gl Scatterplot (Hands On)

Lecture 27: (Latest) deck.gl Arc (Hands On)

Lecture 28: (Old) deck.gl Arc (Hands On)

Lecture 29: (Latest) Heatmap (Hands On)

Lecture 30: (Old) Heatmap (Hands On)

Lecture 31: (Latest) deck.gl Grid (Hands On)

Lecture 32: (Old) deck.gl Grid (Hands On)

Lecture 33: Dual Line Chart (Hands On)

Lecture 34: (Latest) deck.gl Screen Grid (Hands On)

Lecture 35: (Old) deck.gl Screen Grid (Hands On)

Lecture 36: (Latest) Tree Map (Hands On)

Lecture 37: (Old) Tree Map (Hands On)

Lecture 38: (Latest) Box Plot (Hands On)

Lecture 39: (Old) Box Plot (Hands On)

Lecture 40: (Latest) Sunburst Chart (Hands On)

Lecture 41: (Old) Sunburst Chart (Hands On)

Lecture 42: (Latest) Sankey Diagram (Hands On)

Lecture 43: (Old) Sankey Diagram (Hands On)

Lecture 44: (Latest) Word Cloud (Hands On)

Lecture 45: (Old) Word Cloud (Hands On)

Lecture 46: (Latest) MapBox (Hands On)

Lecture 47: (Old) MapBox (Hands On)

Lecture 48: Calender HeatMap (Hands On)

Lecture 49: (Latest) Nightingale Rose Chart (Hands On)

Lecture 50: (Old) Nightingale Rose Chart (Hands On)

Lecture 51: (Latest) Bubble Chart (Hands On)

Lecture 52: (Old) Bubble Chart (Hands On)

Lecture 53: Horizon Chart (Hands On)

Lecture 54: (Latest) deck.gl Path (Hands On)

Lecture 55: (Old) deck.gl Path (Hands On)

Lecture 56: (Latest) Graph Chart (Hands On)

Lecture 57: (Old) Graph Chart (Hands On)

Lecture 58: (Latest) World Map (Hands On)

Lecture 59: (Old) World Map (Hands On)

Lecture 60: Country Map (Hands On)

Lecture 61: Pivot Table v2 (Hands On)

Chapter 5: HR Analytics Dashboard Project

Lecture 1: HR Analytics Dashboard Project Part 1

Lecture 2: HR Analytics Project

Lecture 3: Data for HR Analytics Project

Lecture 4: Data Details

Lecture 5: HR Analytics Dashboard Project Part 2

Lecture 6: HR Analytics Dashboard Project Part 3

Lecture 7: New Settings for Charts due to upgrade in UI of Apache Superset Part 1

Lecture 8: HR Analytics Dashboard Project Part 4

Lecture 9: New Settings for Charts due to upgrade in UI of Apache Superset Part 2

Instructors

Rating Distribution

  • 1 stars: 29 votes
  • 2 stars: 30 votes
  • 3 stars: 54 votes
  • 4 stars: 58 votes
  • 5 stars: 39 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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