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This course includes:

  • 5.5 hours on-demand video
  • 2 articles
  • 3 downloadable resources
  • 1 practice test
  • Full lifetime access
  • Access on mobile and TV
IT & Software IT Certification Cloudera Certified Associate (CCA) Spark and Hadoop Developer

CCA 175 Spark and Hadoop Developer Certification using Scala

Cloudera Certified Associate Spark and Hadoop Developer using Scala.100% guarantee to pass CCA175 exam.
Rating: 4.5 out of 54.5 (118 ratings)
24,105 students
Created by Proedu.co organisation
Last updated 10/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Students enrolling for this course will be 100% confident in clearing the exam in first attempt.

Requirements

  • Basic knowledge of Apache Spark and Hive.

Description

Hello Learners. Welcome to the course "CCA175 Spark and Hadoop developer certification course". This course will help the learners to prepare for the main certification exam. This course will boost your confidence to appear for certification and also provides you with sample scenarios so that you are well equipped before appearing for the exam.

In this course you will learn -

  • Cluster Setup on Google Cloud


  • Introduction to Apache Spark


  • Resilient Distributed Datasets


  • Dataframe abstraction in Spark


  • Working with JSON data


  • Working with Parquet data


  • Working with Avro data


  • Working with ORC data


  • Working with DataFrame Columns


  • Manipulating dates with spark Dataframes


  • Manipulating Strings with spark Dataframes


  • Working with Hive metastore


  • 20 Real time exam scenarios


  • Mock exam

Who this course is for:

  • Students who wants to appear for CCA175 Hadoop and Spark Developer Certification.

Course content

7 sections • 40 lectures • 5h 29m total length

  • Preview05:27

  • Cluster Setup on Google Cloud
    05:29
  • Data setup on the cluster
    06:43
  • Data setup in Hive Metastore
    00:57
  • Understanding datasets provided for practice tests
    00:06

  • Introduction to Apache Spark
    06:45
  • Resilient Distributed Datasets
    04:34

  • Dataframe abstraction in Spark
    04:28
  • Preview26:36
  • Working with JSON data
    09:04
  • Working with Parquet data
    07:59
  • Working with Avro data
    08:39
  • Working with ORC data
    04:54
  • Working with DataFrame Columns
    11:11
  • Manipulating dates with spark Dataframes
    10:22
  • Manipulating Strings with spark Dataframes
    09:38
  • Working with Hive metastore
    12:43

  • Understanding GROUP BY and ORDER BY
    10:32
  • Understanding Ranking functions
    11:03
  • Understanding Windowing functions
    10:10

  • CCA 175 Real Time Exam Scenario 1
    11:58
  • CCA 175 Real Time Exam Scenario 2
    09:25
  • CCA 175 Real Time Exam Scenario 3
    05:49
  • CCA 175 Real Time Exam Scenario 4
    05:02
  • CCA 175 Real Time Exam Scenario 5
    04:47
  • CCA 175 Real Time Exam Scenario 6
    05:42
  • CCA 175 Real Time Exam Scenario 7
    04:46
  • CCA 175 Real Time Exam Scenario 8
    05:17
  • CCA 175 Real Time Exam Scenario 9
    04:07
  • CCA 175 Real Time Exam Scenario 10
    04:08
  • CCA 175 Real Time Exam Scenario 11
    05:59
  • CCA 175 Real Time Exam Scenario 12
    11:49
  • CCA 175 Real Time Exam Scenario 13
    04:04
  • CCA 175 Real Time Exam Scenario 14
    05:13
  • CCA 175 Real Time Exam Scenario 15
    17:03
  • CCA 175 Real Time Exam Scenario 16
    07:27
  • CCA 175 Real Time Exam Scenario 17
    10:34
  • CCA 175 Real Time Exam Scenario 18
    10:47
  • CCA 175 Real Time Exam Scenario 19
    16:47
  • CCA 175 Real Time Exam Scenario 20
    11:15

  • Mock Test 1
    10 questions

Instructor

Proedu.co organisation
Build Career Skills and Gain New Insights.
Proedu.co organisation
  • 4.4 Instructor Rating
  • 206 Reviews
  • 30,497 Students
  • 2 Courses

We are a startup company having a team of dedicated people who perform intense research, pragmatic planning and come up with easily understandable and quality courses for student around the world. We follow an ongoing process of quality analysis by meticulously considering and improving our work by taking the feedback from the users.

we are Proedu Organisation!

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