* Cantinho Satkeys

Refresh History
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  4tj97u<z
    03 de Novembro de 2024, 10:49
  • j.s.: bom fim de semana  43e5r6 49E09B4F
    02 de Novembro de 2024, 08:37
  • j.s.: ghyt74 a todos  4tj97u<z
    02 de Novembro de 2024, 08:36
  • FELISCUNHA: ghyt74   49E09B4F  e bom feriado   4tj97u<z
    01 de Novembro de 2024, 10:39
  • JPratas: try65hytr Pessoal  h7ft6l k7y8j0
    01 de Novembro de 2024, 03:51
  • j.s.: try65hytr a todos  4tj97u<z
    30 de Outubro de 2024, 21:00
  • JPratas: dgtgtr Pessoal  4tj97u<z k7y8j0
    28 de Outubro de 2024, 17:35
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  k8h9m
    27 de Outubro de 2024, 11:21
  • j.s.: bom fim de semana   49E09B4F 49E09B4F
    26 de Outubro de 2024, 17:06
  • j.s.: dgtgtr a todos  4tj97u<z
    26 de Outubro de 2024, 17:06
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana
    26 de Outubro de 2024, 11:49
  • JPratas: try65hytr Pessoal  101yd91 k7y8j0
    25 de Outubro de 2024, 03:53
  • JPratas: dgtgtr A Todos  4tj97u<z 2dgh8i k7y8j0
    23 de Outubro de 2024, 16:31
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    23 de Outubro de 2024, 10:59
  • j.s.: dgtgtr a todos  4tj97u<z
    22 de Outubro de 2024, 18:16
  • j.s.: dgtgtr a todos  4tj97u<z
    20 de Outubro de 2024, 15:04
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  101041
    20 de Outubro de 2024, 11:37
  • axlpoa: hi
    19 de Outubro de 2024, 22:24
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    19 de Outubro de 2024, 11:31
  • j.s.: ghyt74 a todos  4tj97u<z
    18 de Outubro de 2024, 09:33

Autor Tópico: PySpark - Build DataFrames with Python, Apache Spark and SQL  (Lida 109 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Moderador Global
  • ***
  • Mensagens: 115675
  • Karma: +0/-0

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | VTT | Size: 2.10 GB | Duration: 5h 56m
Build an amazing DataFrames with Python, Apache Spark, and SQL

What you'll learn
Create big data streaming pipelines with Spark using Python
Learn how to apply Spark on distributed Dataframes
Use Python with Big Data on a distributed framework (Apache Spark)

Description
This course covers all the fundamentals about Apache Spark streaming with Python and teaches you everything you need to know about developing Spark streaming applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Spark streaming and general big data manipulation skills to help your company to adapt Spark Streaming for building big data processing pipelines and data analytics applications. This course will be absolutely critical to anyone trying to make it in data science today.

Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!

This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we've done that we'll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way, you'll have exercises and Mock Consulting Projects that put you right into a real-world situation where you need to use your new skills to solve a real problem!

We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30-day money-back guarantee and comes with a LinkedIn Certificate of Completion!

If you're ready to jump into the world of Python, Spark, and Big Data, this is the course for you!

Who this course is for:
Someone who knows Python and would like to learn how to use it for Big Data
Someone who is very familiar with another programming language and needs to learn Spark
Developers transferring from other languages
Python Developers looking to get better at Data Streaming
Spark Developers eager to expand their skills.

Screenshots


Download link:
Só visivel para registados e com resposta ao tópico.

Only visible to registered and with a reply to the topic.

Links are Interchangeable - No Password - Single Extraction