| 1. Before Getting Started.mp4 | 15.4 MB | ||
| 1. Data Wrangler - Part 1.mp4 | 56.9 MB | ||
| 1. Exercise #1.mp4 | 30.4 MB | ||
| 1. Introduction.mp4 | 17.9 MB | ||
| 1. What are they.mp4 | 59.1 MB | ||
| 10. Joining Dataframes.mp4 | 52.9 MB | ||
| 11. Working with Dates.mp4 | 88.7 MB | ||
| 12. SQL Statements and Spark.mp4 | 61.9 MB | ||
| 13. Microsoft Fabric 1.1. Spark Runtime.mp4 | 36.1 MB | ||
| 14. Spark Configuration.mp4 | 91.1 MB | ||
| 15. Spark Autotuning.mp4 | 30.2 MB | ||
| 2. A Quick Tour - Part 1.mp4 | 70.8 MB | ||
| 2. Data Wrangler - Part 2.mp4 | 71.5 MB | ||
| 2. Exercise #2.mp4 | 115.1 MB | ||
| 2. Important! You May Not Need to Purchase This Course!.mp4 | 8.6 MB | ||
| 2. Introduction to Apache Spark.mp4 | 69.8 MB | ||
| 2.1 Notebook Code.txt | 102.4 B | ||
| 3. A Quick Tour - Part 2.mp4 | 94.3 MB | ||
| 3. Data Wrangler - Part 3.mp4 | 75.1 MB | ||
| 3. Question #1.mp4 | 2.2 MB | ||
| 3. Spark Libraries.mp4 | 31.4 MB | ||
| 4. Dataframe Basics - Part 1.mp4 | 62.7 MB | ||
| 4. Question #2.mp4 | 2.4 MB | ||
| 5. Dataframe Basics - Part 2.mp4 | 122.4 MB | ||
| 5. Exercise #3.mp4 | 56.4 MB | ||
| 6. Dataframe Basics - Part 3.mp4 | 77.5 MB | ||
| 6. Exercise #4.mp4 | 44.2 MB | ||
| 7. Common Operations with Dataframes.mp4 | 116.8 MB | ||
| 7. Question #3 and #4.mp4 | 2 MB | ||
| 8. Exercise #5.mp4 | 59.7 MB | ||
| 8. Filtering Data.mp4 | 159.7 MB | ||
| 8.1 Customers.csv | 2.9 MB | ||
| 9. Aggregating Data.mp4 | 107.1 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Calendar.csv | 483 KB | ||
| Customers.csv | 2.9 MB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Online Sales.csv | 743.5 MB | ||
| OnlineSales.csv | 743.5 MB | ||
| Player Batting.csv | 8.3 MB | ||
| Products.csv | 489.1 KB | ||
| Promotions.csv | 4.2 KB | ||
| Stores.csv | 28.9 KB | ||
| ▲ 43 total files | |||
Microsoft Fabric - Apache Spark and Notebooks
https://DevCourseWeb.com
Published 10/2023
Created by Randy Minder
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 4h 43m ) | Size: 1.88 GB
Learn the Microsoft Fabric Spark environment, notebooks, dataframes, filtering, aggregating, joining dataframes and more
What you'll learn
Apache Spark and Notebook Integration into Microsoft Fabric
Overview of the Microsoft Fabric Notebooks Environment
Dataframe Basics
Common Operations with Dataframes
Filtering data using Dataframes
Aggregating data using Dataframes
Joining Dataframes
Spark Libraries
Working with Dates
SQL Statements and Spark
Spark Configuration and Tuning
Exercises and Questions for Practice
Requirements
Some working experience with Microsoft Fabric and Spark would be useful but not absolutely necessary
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