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100% guarantee to pass CCA175 Certification Exam

What you will learn

 

CCA 175 Preparation Course

Description

Course Description

Hello Learners. Welcome to the course “CCA175 Spark and Hadoop developer certification course”. This course is for anyone who wants to appear for CCA175 Hadoop and Spark Developer Certification.
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.

CCA175 is a remote-proctored exam available anywhere, anytime. CCA 175 certification exam questions requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used. In other cases, coding is required.

 

In this course you will learn :

  • Introduction

    • Introduction to course

       

  • Prerequisites

    • Understanding the dataset RETAIL_DB

    • Cluster Setup on Google Cloud

    • Bucket creation and practice data setup on GCP cluster

    • Data setup on Hive in Google Cloud

       

  • Let’s warm up

    • Introduction to Apache Spark framework

    • Understanding Resilient Distributed Datasets (RDD)

       

  • Transform, Stage and Store

    • Understanding DataFrame abstraction in Spark

    • Working with CSV data in Spark

    • Working with JSON data  in Spark

    • Working with Parquet file format in Spark

    • Working With Hive Metastore

    • Working with AVRO data in Spark

    • Working with DataFrame Columns in Spark

    • Manipulating Dates in DataFrame in Spark

    • Manipulating String  in DataFrame in Spark

       

  • Lets prepare for the Real exam

    • 20 Real time CCA 175 exam scenarios

       

This course will definitely boost your confidence if you are appearing for the certification.

 


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Happy Learning !!!

Proedu Organization.

 

English
language

Content

Introduction

Introduction

Prerequisites

Cluster Setup Using Dataproc
Data Setup On Cluster

Let’s Warm Up – Apache Spark Introduction

Understanding RDD
Introduction to Apache Spark

Transform, Stage and Store

Dataframe abstraction in Spark
Working with CSV data
Working with JSON data
Working with AVRO data
Working With Hive Metastore
Working with Paquet file format
Working with DataFrame Columns
Manipulating Dates in Dataframe
Manipulating String in Dataframe

How to do Data Analysis

Windowing and Analytics Functions
Analytical Functions
Ranking Functions

Let’s prepare for the Real exam

CCA 175 Real Time Exam Scenario 1
CCA 175 Real Time Exam Scenario 2
CCA 175 Real Time Exam Scenario 3
CCA 175 Real Time Exam Scenario 4
CCA 175 Real Time Exam Scenario 5
CCA 175 Real Time Exam Scenario 6
CCA 175 Real Time Exam Scenario 7
CCA 175 Real Time Exam Scenario 8
CCA 175 Real Time Exam Scenario 9
CCA 175 Real Time Exam Scenario 10
CCA 175 Real Time Exam Scenario 11
CCA 175 Real Time Exam Scenario 12
CCA 175 Real Time Exam Scenario 13
CCA 175 Real Time Exam Scenario 14
CCA 175 Real Time Exam Scenario 15
CCA 175 Real Time Exam Scenario 16
CCA 175 Real Time Exam Scenario 17
CCA 175 Real Time Exam Scenario 18
CCA 175 Real Time Exam Scenario 19
CCA 175 Real Time Exam Scenario 20

CCA 175 Practice Tests – Scala

CCA 175 Practice Tests – Scala