Download Udemy - Building Big Data Pipelines with PySpark + MongoDB + Bokeh torrent

Udemy - Building Big Data Pipelines with PySpark + MongoDB + Bokeh

Torrent:	Udemy - Building Big Data Pipelines with PySpark + MongoDB + Bokeh
Description:	Building Big Data Pipelines with PySpark + MongoDB + Bokeh https://DevCourseWeb.com Last updated 2/2020 MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English + srt \| Duration: 25 lectures (5h 4m) \| Size: 1.68 GB Build intelligent data pipelines with big data processing and machine learning technologies 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 Requirements Basic Understanding of Python Little or no understanding of GIS Basic understanding of Programming concepts Basic understanding of Data Basic understanding of what Machine Learning is
Downloads:	32
Category:	Other /Tutorials
Size:	1.6 GB
Show Files »	[ DevCourseWeb.com ] Udemy - Building Big Data Pipelines with PySpark + MongoDB + Bokeh Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Introduction.mp4 (70.0 MB) 1. Introduction.srt (10.0 KB) 2. Setup and Installations 1. Python Installation.mp4 (19.3 MB) 1. Python Installation.srt (3.5 KB) 2. Installing Third Party Libraries.mp4 (21.0 MB) 2. Installing Third Party Libraries.srt (3.3 KB) 3. Installing Apache Spark.mp4 (67.0 MB) 3. Installing Apache Spark.srt (12.6 KB) 4. Installing Java (Optional).mp4 (28.2 MB) 4. Installing Java (Optional).srt (4.6 KB) 5. Testing Apache Spark Installation.mp4 (39.2 MB) 5. Testing Apache Spark Installation.srt (5.1 KB) 6. Installing MongoDB.mp4 (25.8 MB) 6. Installing MongoDB.srt (3.8 KB) 7. Installing NoSQL Booster for MongoDB.mp4 (27.0 MB) 7. Installing NoSQL Booster for MongoDB.srt (7.9 KB) 3. Data Processing with PySpark and MongoDB 1. Integrating PySpark with Jupyter Notebook.mp4 (23.6 MB) 1. Integrating PySpark with Jupyter Notebook.srt (4.5 KB) 2. Data Extraction.mp4 (103.4 MB) 2. Data Extraction.srt (19.6 KB) 3. Data Transformation.mp4 (74.3 MB) 3. Data Transformation.srt (14.2 KB) 4. Loading Data into MongoDB.mp4 (75.9 MB) 4. Loading Data into MongoDB.srt (9.9 KB) 4.1 commands.txt (0.2 KB) 4. Machine Learning with PySpark and MLlib 1. Data Pre-processing.mp4 (105.2 MB) 1. Data Pre-processing.srt (14.3 KB) 2. Building the Predictive Model.mp4 (59.7 MB) 2. Building the Predictive Model.srt (9.1 KB) 3. Creating the Prediction Dataset.mp4 (43.9 MB) 3. Creating the Prediction Dataset.srt (6.0 KB) 5. Data Visualization 1. Loading the Data Sources from MongoDB.mp4 (80.0 MB) 1. Loading the Data Sources from MongoDB.srt (13.2 KB) 2. Creating a Map Plot.mp4 (167.3 MB) 2. Creating a Map Plot.srt (24.7 KB) 3. Creating a Bar Chart.mp4 (43.9 MB) 3. Creating a Bar Chart.srt (7.3 KB) 4. Creating a Magnitude Plot.mp4 (76.3 MB) 4. Creating a Magnitude Plot.srt (11.2 KB) 5. Creating a Grid Plot.mp4 (53.9 MB) 5. Creating a Grid Plot.srt (7.9 KB) 6. Creating the Data Pipeline Scripts 1. Installing Visual Studio Code.mp4 (28.0 MB) 1. Installing Visual Studio Code.srt (4.6 KB) 2. Creating the PySpark ETL Script.mp4 (130.2 MB) 2. Creating the PySpark ETL Script.srt (17.1 KB) 3. Creating the Machine Learning Script.mp4 (157.1 MB) 3. Creating the Machine Learning Script.srt (19.9 KB) 4. Creating the Dashboard Server.mp4 (160.4 MB) 4. Creating the Dashboard Server.srt (18.0 KB) 7. Source Code and Notebook 1. Source Code and Notebook.html (0.2 KB) Bonus Resources.txt (0.4 KB) files
Added:	2022-10-13 11:02:20
Language:	English
Peers:	Seeders : 0 , Leechers : 38
Tags:	Development Data Science PySpark Udemy
Release name:	Udemy - Building Big Data Pipelines with PySpark + MongoDB + Bokeh
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