Overview
Technical skills and expands their use of Metabase features., Provides a user-friendly introduction to data exploration and visualization., Installing and Configuring Metabase, Frequently asked Questions on Metabase
Business analysts, Data analysts, Marketing professionals or Anyone interested in data visualization and exploration
PC or Laptop with 8+ GB of RAM with Windows Operating System, Docker Installed on the machine
Metabase is an open-source business intelligence (BI) platform that empowers users to easily explore, analyze, and visualize data. It provides a user-friendly interface and allows for seamless integration with various data sources.
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, Metabase! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Metabase!
Introduction
Metabase
Business Intelligence
Features of Metabase
Benefits of using Metabase
Installation
Installing Docker on Windows
Running Metabase on Docker
Starting Metabase on Docker Container
Stopping Metabase on Docker Container
Connecting to Database
Databases supported by Metabase
Pulling Image of mysql and running mysql on Docker
Connecting mysql database with Metabase
Removing MySQL Database from Metabase
Upload Data
Creating a Chart and Dashboard
Line Chart
Bar Chart
Area Chart
Pie Chart
And many more charts
Project (Video Games Sales Analytics)
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!!