* Cantinho Satkeys

Refresh History
  • j.s.: bom fim de semana  49E09B4F
    23 de Novembro de 2024, 21:01
  • j.s.: try65hytr a todos
    23 de Novembro de 2024, 21:01
  • FELISCUNHA: dgtgtr   49E09B4F  e bom fim de semana
    23 de Novembro de 2024, 12:27
  • JPratas: try65hytr A Todos  101yd91 k7y8j0
    22 de Novembro de 2024, 02:46
  • j.s.: try65hytr a todos  4tj97u<z 4tj97u<z
    21 de Novembro de 2024, 18:43
  • FELISCUNHA: dgtgtr  pessoal   49E09B4F
    20 de Novembro de 2024, 12:26
  • JPratas: try65hytr Pessoal  4tj97u<z classic k7y8j0
    19 de Novembro de 2024, 02:06
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    16 de Novembro de 2024, 11:11
  • j.s.: bom fim de semana  49E09B4F
    15 de Novembro de 2024, 17:29
  • j.s.: try65hytr a todos  4tj97u<z
    15 de Novembro de 2024, 17:29
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    15 de Novembro de 2024, 10:07
  • JPratas: try65hytr A Todos  4tj97u<z classic k7y8j0
    15 de Novembro de 2024, 03:53
  • FELISCUNHA: dgtgtr   49E09B4F
    12 de Novembro de 2024, 12:25
  • JPratas: try65hytr Pessoal  classic k7y8j0 yu7gh8
    12 de Novembro de 2024, 01:59
  • j.s.: try65hytr a todos  4tj97u<z
    11 de Novembro de 2024, 19:31
  • cereal killa: try65hytr pessoal  2dgh8i
    11 de Novembro de 2024, 18:16
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    09 de Novembro de 2024, 11:43
  • JPratas: try65hytr Pessoal  classic k7y8j0
    08 de Novembro de 2024, 01:42
  • j.s.: try65hytr a todos  49E09B4F
    07 de Novembro de 2024, 18:10
  • JPratas: dgtgtr Pessoal  49E09B4F k7y8j0
    06 de Novembro de 2024, 17:19

Autor Tópico: Spark Project on Cloudera Hadoop(CDH) and GCP for Beginners  (Lida 211 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Moderador Global
  • ***
  • Mensagens: 117428
  • Karma: +0/-0

Spark Project on Cloudera Hadoop(CDH) and GCP for Beginners
h264, yuv420p, 1280x720|ENGLISH, aac, 44100 Hz, stereo, s16 | 10h 53 mn | 4.45 GB
Created by: PARI MARGU

Building Data Processing Pipeline Using Apache NiFi, Apache Kafka, Apache Spark, Cassandra, MongoDB, Hive and Zeppelin

What you'll learn

Complete Spark Project Development on Cloudera Hadoop and Spark Cluster
Fundamentals of Google Cloud Platform(GCP)
Setting up Cloudera Hadoop and Spark Cluster(CDH 6.3) on GCP
Features of Spark Structured Streaming using Spark with Scala
Features of Spark Structured Streaming using Spark with Python(PySpark)
Fundamentals of Apache NiFi
Fundamentals of Apache Kafka
How to use NoSQL like MongoDB and Cassandra with Spark Structured Streaming
How to build Data Visualisation using Python
Fundamentals of Apache Hive and how to integrate with Apache Spark
Features of Apache Zeppelin
Fundamentals of Docker and Containerisation

Requirements

Basic understanding of Programming Language
Basic understanding of Apache Hadoop
Basic understanding of Apache Spark
No worry, even solid Apache Hadoop and Apache Spark basics are covered for the benefit of absolute beginners
Most important one, which is willingness to learn

Description

In retail business, retail stores and eCommerce websites generates large amount of data in real-time.

There is always a need to process these data in real-time and generate insights which will be used by the business people and they make business decision to increase the sales in the retail market and provide better customer experience.

Since the data is huge and coming in real-time, we need to choose the right architecture with scalable storage and computation frameworks/technologies.

Hence we want to build the Data Processing Pipeline Using Apache NiFi, Apache Kafka, Apache Spark, Apache Cassandra, MongoDB, Apache Hive and Apache Zeppelin to generate insights out of this data.

The Spark Project is built using Apache Spark with Scala and PySpark on Cloudera Hadoop(CDH 6.3) Cluster which is on top of Google Cloud Platform(GCP).

Who this course is for:

Beginners who want to learn Apache Spark/Big Data Project Development Process and Architecture
Entry/Intermediate level Data Engineers and Data Scientist
Data Engineering and Data Science Aspirants
Data Enthusiast who want to learn, how to develop and run Spark Application on CDH Cluster
Anyone who is really willingness to become Big Data/Spark Developer

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