Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 4 Minute(s)
Language
English
Taught by
EBISYS R&D
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
3 views
Course Overview
Build intelligent data pipelines with big data processing and machine learning technologies
Welcome to the Building Big Data Pipelines with PySpark & MongoDB & Bokeh course. In
this course we will be building an intelligent data pipeline using big data technologies like
Apache Spark and MongoDB.
We will be building an ETLP pipeline, ETLP stands for Extract Transform Load and Predict.
These are the different stages of the data pipeline that our data has to go through in order for it
to become useful at the end. Once the data has gone through this pipeline we will be able to
use it for building reports and dashboards for data analysis.
The data pipeline that we will build will comprise of data processing using PySpark, Predictive
modelling using Spark’s MLlib machine learning library, and data analysis using MongoDB and
Bokeh.
You will learn how to create data processing pipelines using PySpark
You will learn machine learning with geospatial data using the Spark MLlib library
You will learn data analysis using PySpark, MongoDB and Bokeh, inside of jupyter notebook
You will learn how to manipulate, clean and transform data using PySpark dataframes
You will learn basic Geo mapping
You will learn how to create dashboards
You will also learn how to create a lightweight server to serve Bokeh dashboards
Course Content
- 7 section(s)
- 25 lecture(s)
- Section 1 Introduction
- Section 2 Setup and Installations
- Section 3 Data Processing with PySpark and MongoDB
- Section 4 Machine Learning with PySpark and MLlib
- Section 5 Data Visualization
- Section 6 Creating the Data Pipeline Scripts
- Section 7 Source Code and Notebook
What You’ll Learn
- PySpark Programming
- Data Analysis
- Python and Bokeh
- Data Transformation and Manipulation
- Data Visualization
- Big Data Machine Learning
- Geo Mapping
- Geospatial Machine Learning
- Creating Dashboards
Reviews
-
JJogendra Singh Khalsa
Perfect
-
EEvgenia Levin
I am disappointed because it's outdated in terms of the code, it takes too much time to adjust the code to the relevant syntax and it's not worth it. There are also very minimal explanations. I had to research every step myself to understand why it's done and then spend hours adjusting the code to run.
-
KKaustubh Surendra Gode
Update the course with time , faced error in end lessons
-
MMarcos
El curso es correcto pero la asistencia del profesor es escasa. He tenido problemas para ejecutar los scripts de los apartados 22, 23 y 24.
