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Apache Spark 3 Programming Databricks Certification Python

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Added 4 years ago by freecoursewb in Other
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Apache Spark 3 Programming Databricks Certification Python (Size: 911 MB)
  001 Apache Spark Architecture.en.srt 14.1 KB
  001 Apache Spark Architecture.mp4 50.9 MB
  001 Databricks Certified Associate Developer for Apache Spark 3.0 Exam Logistics.en.srt 3.7 KB
  001 Databricks Certified Associate Developer for Apache Spark 3.0 Exam Logistics.mp4 10.7 MB
  001 Dataframes in PySpark.en.srt 7 KB
  001 Dataframes in PySpark.mp4 27.6 MB
  001 Getting Started with Databricks Community Edition.en.srt 6.8 KB
  001 Getting Started with Databricks Community Edition.mp4 20.1 MB
  001 Introduction to Course.en.srt 6.8 KB
  001 Introduction to Course.mp4 15.3 MB
  001 Introduction to Regression.en.srt 10.4 KB
  001 Introduction to Regression.mp4 42.4 MB
  001 Spark Code Lifecycle_ Infrastructure Side.en.srt 5.5 KB
  001 Spark Code Lifecycle_ Infrastructure Side.mp4 23.1 MB
  002 Hands-on on Regression.en.srt 12.8 KB
  002 Hands-on on Regression.mp4 54.4 MB
  002 How does Computer performs analytics_.en.srt 5.5 KB
  002 How does Computer performs analytics_.mp4 15.3 MB
  002 How to access course material_.en.srt 6 KB
  002 How to access course material_.mp4 16.5 MB
  002 Renaming Columns.en.srt 4.9 KB
  002 Renaming Columns.mp4 22.9 MB
  002 Spark Code Lifecycle_ Framework Side.en.srt 8.6 KB
  002 Spark Code Lifecycle_ Framework Side.mp4 28.5 MB
  002 What is a dataframe_.en.srt 7 KB
  002 What is a dataframe_.mp4 31.8 MB
  003 AQE_ Adaptive Query Engine.en.srt 4.9 KB
  003 AQE_ Adaptive Query Engine.mp4 21.3 MB
  003 Introduction to Classification.en.srt 5.3 KB
  003 Introduction to Classification.mp4 27 MB
  003 Selecting Columns.en.srt 5.7 KB
  003 Selecting Columns.mp4 23.3 MB
  003 What is an Apache Spark_.en.srt 6.3 KB
  003 What is an Apache Spark_.mp4 24.6 MB
  004 Filtering.en.srt 3.1 KB
  004 Filtering.mp4 14.1 MB
  004 Hands-on on Classification.en.srt 5.8 KB
  004 Hands-on on Classification.mp4 25.4 MB
  004 UDF_ User Defined Functions.en.srt 4.2 KB
  004 UDF_ User Defined Functions.mp4 13.9 MB
  005 Dropping Columns.en.srt 8.2 KB
  005 Dropping Columns.mp4 40 MB
  005 Performance Optimization.en.srt 3.7 KB
  005 Performance Optimization.mp4 11.8 MB
  005 Shared.dbc 56.7 KB
  006 Union of Dataframes.en.srt 3.9 KB
  006 Union of Dataframes.mp4 11.3 MB
  007 Sorting on Dataframes.en.srt 4.9 KB
  007 Sorting on Dataframes.mp4 23.3 MB
  008 Basic Aggregation Methods.en.srt 4.4 KB
  008 Basic Aggregation Methods.mp4 15.2 MB
  009 Advanced Aggregation Methods.en.srt 3.2 KB
  009 Advanced Aggregation Methods.mp4 11.5 MB
  010 Joins.en.srt 4.2 KB
  010 Joins.mp4 15.7 MB
  011 Partitioning on Dataframes.en.srt 7.6 KB
  011 Partitioning on Dataframes.mp4 22.4 MB
  012 Broadcast and Accumulator.en.srt 6.5 KB
  012 Broadcast and Accumulator.mp4 23.1 MB
  013 Persist and Caching on Dataframes.en.srt 8 KB
  013 Persist and Caching on Dataframes.mp4 24.1 MB
  014 Time and Data Functions in PySpark.en.srt 5.4 KB
  014 Time and Data Functions in PySpark.mp4 22.2 MB
  015 Reading and Writing (other) File Formats.en.srt 4.4 KB
  015 Reading and Writing (other) File Formats.mp4 12.4 MB
  4.1.html 266 KB
  4.10.html 270.3 KB
  4.11.html 409 KB
  4.12.html 279.1 KB
  4.13.html 312.3 KB
  4.13_Extended.html 261.1 KB
  4.14.html 282.9 KB
  4.15.html 258.6 KB
  4.2.html 274.1 KB
  4.3.html 285.7 KB
  4.4.html 272 KB
  4.5.html 331.8 KB
  4.6.html 275.7 KB
  4.7.html 303.1 KB
  4.8.html 272.2 KB
  4.9.html 290.3 KB
  5.4.html 268.8 KB
  Bonus Resources.txt 307.2 B
  Bonus-Classification.html 328.1 KB
  Bonus-LinearRegression.html 335.9 KB
  Get Bonus Downloads Here.url 204.8 B
  auto_mileage_dataset.csv 18.1 KB
  co2_1800-1995.csv 55 KB
  co2_1800-1995_Extended.csv 162 MB
  country_1.csv 66.8 KB
  desktop.ini 102.4 B
  dummy.csv 102.4 B
  dummy.parquet 3.5 KB
  earthquake.csv 944.5 KB
  index.html 244.4 KB
  iris-dataset.csv 4.5 KB
  ▲ 97 total files

Description


Apache Spark 3 Programming | Databricks Certification Python

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 32 lectures (2h 33m) | Size: 650.3 MB
Become zero to hero in Apache PySpark 3.0 programming in a fun and easy way. Fastest way to prepare for Databricks exam
What you'll learn:
This course is for students who are wishing to start their journey towards learning PySpark 3.0 in a fun and easy way from ground zero.
This course covers topics for Databricks Certified Associate Developer for Apache Spark 3.0 certification using Python therefore, any student who wishes to appear for the certification (using Python) can also

Requirements
This course has been designed for absolute beginners therefore, this course assumes no previous knowledge on Apache Spark.
No previous knowledge on Data Engineering is required.
A basic knowledge of Python will be helpful but not necessary.

Description
Hello Students,

I welcome you all to this course on Apache Spark 3.0 Programming and Databricks Associate Developer Certification using Python. In this course, you will learn about programming using Apache Spark 3.0 using Python, usually referred as PySpark, along with preparing you for the Databricks certification using Python in a fun and easy way from ground zero.

,

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