Hadoop Developer Training Certification Course Online

18 Lesson

30 Hours

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igmGuru’s Hadoop Developer training is a helping hand in mastering the concepts of data tools, Hadoop framework, and methodologies. As you get your hands on the Hadoop certification, you will find yourself getting better job opportunities in leading companies. With this Hadoop training online, you will become an expert in the various components of the Hadoop ecosystem. Start your career with this amazing training program and learn online as per your convenience and schedule.

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Hadoop Developer Training Overview

igmGuru's Hadoop Developer Training Online program is designed according to the Cloudera Spark and Hadoop Developer CCA175 Certification Exam. The objective is to make sure that the candidate passes the exam in the very first attempt. CCA Spark and Hadoop Developer training (CCA175) Exam is the one thing that would be aimed for in this big data developer training by igmGuru.

Hadoop Developer Certification Course will make you an expert in:

HDFS
MapReduce
Yarn
Hive
Pig
Oozie
Flume, etc.

In this Hadoop online course you will get the opportunity to work in 4 live projects which prepares you for the Cloudera Spark and Hadoop Developer certification (CCA175) Exam. With an inclusive 6 months course done with igmGuru, you also get access to Hadoop Cloud Lab.

About Big Data Hadoop Developer Course Online

Apache Big Data Hadoop will assist you in providing detailed concepts about Big Data and Hadoop. Few topics in this training include

Presentation to the Hadoop ecosystem
Learning HDFS
MapReduce together with MapReduce ideas
Installing and executing multiple elements of Hadoop like Pig, Hive, Flume, Sqoop, and YARN.

What does this Big Data Hadoop CCA175 Certification Course?

The course comprises of helping one learn the

Basics of Hadoop along with Hadoop architecture: preferable for a newbie.
Hadoop, HDFS, and MapReduce framework.
Writing MapReduce programs and install Hadoop clusters.
Flourishing in applications for Big Data using Hadoop Technology.
Developing YARN programs on the Hadoop 2.X version.
Working on Big Data analytics using Hive, Pig, and YARN.
Advanced usage and indexing made possible using MapReduce integration and HBase.
Spark framework and it's functioning: basic knowledge to be gained.
Learn about RDD in Apache Spark.
Grasp knowledge of Hadoop development best practices.
Scheduling of Job using Oozie.
The process to get the Cloudera Spark and Hadoop developer certification.

Who can opt Hadoop Developer Training Program?

Professionals who can surely come over to learn this course comprise the group of Professionals or the clan of Big data Hadoop developers, architects, and testing personnel working as:

Software Developers
Software Analytics
BI
ETL, and data warehousing

Why Enroll in Online Hadoop Developer Training?

learn from industry experts
job assistance by the best
updated course + videos of sessions
great future scope & pay scale

Hadoop is a computing system that functions on the material hardware on a scale and speed which is not possible for any other database processing system that can match it. Because of this only, there is a high demand for Hadoop developers who can install Hadoop on a larger scale. This Big Data Hadoop Program provides you with the right skills that make you an expertise that you can clear Professional Hadoop developer Cloudera Certification. Having this CCA175 Certification can easily get you job opportunities in the best industries secured in the Big-Data World.

Key Features

Instructor Led Training : 30 Hrs
100% Money-Back Guarantee
Flexible Schedule
24 X 7 Lifetime Support & Access
Certified Trainers
100% Job Assistance
Get Certified & Get Placed

Hadoop Developer Tutorial Modules

Lesson 1 - Introduction to Apache Hadoop and the Hadoop Ecosystem

1. Introduction to Apache Hadoop and the Hadoop Ecosystem

2. Apache Hadoop Overview

3. Data Ingestion and Storage

4. Data Processing

5. Data Analysis and Exploration

6. Other Ecosystem Tools

7. Introduction to the Hands-On Exercises

Lesson 2 - Apache Hadoop File Storage

1. Apache Hadoop Cluster Components

2. HDFS Architecture

3. Using HDFS

Lesson 3 - Distributed Processing on an Apache Hadoop Cluster

1. YARN Architecture

2. Working With YARN

Lesson 4 - Apache Spark Basics

1. What is Apache Spark?

2. Starting the Spark Shell

3. Using the Spark Shell

4. Getting Started with Datasets and DataFrames

5. DataFrame Operations

Lesson 5 - Working with DataFrames and Schemas

1. Creating DataFrames from Data Sources

2. Saving DataFrames to Data Sources

3. DataFrame Schemas

4. Eager and Lazy Execution

Lesson 6 - Analyzing Data with DataFrame Queries

1. Querying DataFrames Using Column Expressions

2. Grouping and Aggregation Queries

3. Joining DataFrames

Lesson 7 - RDD Overview

1. RDD Overview

2. RDD Data Sources

3. Creating and Saving RDDs

4. RDD Operations

Lesson 8 - Transforming Data with RDDs

1. Writing and Passing Transformation Functions

2. Transformation Execution

3. Converting Between RDDs and DataFrames

Lesson 9 - Aggregating Data with Pair RDDs

1. Key-Value Pair RDDs

2. Map-Reduce

3. Other Pair RDD Operations

Lesson 10 - Querying Tables and Views with Apache Spark SQL

1. Querying Tables in Spark Using SQL

2. Querying Tables in Spark Using SQL

3. The Catalog API

4. Comparing Spark SQL, Apache Impala, and Apache Hive-on-Spark

Lesson 11 - Working with Datasets in Scala

1. Datasets and DataFrames

2. Creating Datasets

3. Loading and Saving Datasets

4. Dataset Operations

Lesson 12 - Writing, Configuring, and Running Apache Spark Applications

1. Writing a Spark Application

2. Building and Running an Application

3. Application Deployment Mode

4. The Spark Application Web UI

5. Configuring Application Properties

Lesson 13 - Distributed Processing

1. Review: Apache Spark on a Cluster

2. RDD Partitions

3. Example: Partitioning in Queries

4. Stages and Tasks

5. Job Execution Planning

6. Example: Catalyst Execution Plan

7. Example: RDD Execution Plan

Lesson 14 - Distributed Data Persistence

1. DataFrame and Dataset Persistence

2. Persistence Storage Levels

3. Viewing Persisted RDDs

Lesson 15 - Common Patterns in Apache Spark Data Processing

1. Common Apache Spark Use Cases

2. Iterative Algorithms in Apache Spark

3. Machine Learning

4. Example: k-means

Lesson 16 - Apache Spark Streaming: Introduction to DStreams

1. Apache Spark Streaming Overview

2. Example: Streaming Request Count

3. DStreams

4. Developing Streaming Applications

Lesson 17 - Apache Spark Streaming: Processing Multiple Batches

1. Multi-Batch Operations

2. Time Slicing

3. State Operations

4. Sliding Window Operations

5. Preview: Structured Streaming

Lesson 18 - Apache Spark Streaming: Data Sources

1. Streaming Data Source Overview

2. Apache Flume and Apache Kafka Data Sources

3. Example: Using a Kafka Direct Data Source

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Hadoop Developer Course Fees

Online Class Room Program

US $ 499.00

100% Money Back Guarantee

Duration : 30 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 10 Sep 2024
Weekday Batch 16 Sep 2024
Weekend Batch 14 Sep 2024

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

CCA175 Certification Exam

Hadoop Developer Certification Exam in 2024

While training, you will work on live projects and assignments which have enormous suggestions in the real scenarios of industries boosting up your career without any problems.

Number of Questions: 8–12 performance-based (hands-on) tasks on Cloudera Enterprise cluster.

Time Limit: 120 minutes

Passing Score: 70%

Language: English

CCA175 Certification Training FAQ

No, It is sad, but this is not the case for the time being!

The devices you'll need are: 1. Windows: Windows XP SP3 or higher 2. Mac: OSX 10.6 or higher 3. Internet speed: Preferably 51 Kbps or higher 4. Headset 5. Speakers 6. Amplifier

The team of our Qualified mentors are Hadoop ensured. They bear the long stretches of ability to instruct and managing within the cloud space. The final section process includes a vigorous round of screening, specialized examination and an instructing demo before they're ensured to mentor our batches!

Our instructing collaborators are over the top group of material experts to help you. The Mentors make sure the Students get their skills sharpened with the help of extended programs and seasons. Training help for big data hadoop developer is open all through business hours.

The certification is provided by Cloudera

After completion of Hadoop Developer Training, we will share all the latest CCA175 dumps for CCA175 certification preparation.

To become a Hadoop Developer, you must possess these skills -

- Strong understanding of the Hadoop ecosystem.

- Knowledge of SQL

- Working experience of Big Data technologies such as Apache Flink and Apache Spark

- Understanding of distributed computing.

- Proficiency in programming languages like Python and Scala.

- Experience in data warehousing and ETL.

- Familiarity with Unix/ Linux OS.

- Strong problem-solving and analytical skills

- Familiarity with Cloud platforms.

We at igmGuru think that Hadoop is approachable for students of all levels, including beginners. It is not necessary to have prior programming or database experience in order to learn Hadoop, though it might be helpful. Our extensive Hadoop training course is meant to give students a firm grounding in big data theory, the various parts of the Hadoop ecosystem, and practical experience. Even beginners can understand the core ideas and become proficient in Hadoop with professional assistance and step-by-step education. The learning process is easy and enjoyable thanks to constant practice, practical projects, and help from our knowledgeable instructors. So yeah, even as a newbie, Hadoop is definitely attainable.

The salary range for a Hadoop Developer in India is typically between ₹3.0 Lakhs to ₹11.5 Lakhs, with an average annual salary of ₹5.5 Lakhs. In the United States, Hadoop Developer salaries can range from $60,000 to $150,000 per year, depending on factors such as experience, location, and company size.

To become a Hadoop Developer -

-Understand the basics of Hadoop

-Learn the required skills (programming languages, SQL, Linux fundamentals, etc.)

-Learn about Hadoop components -Gain knowledge about associated languages like PigLatin, HiveQL, etc.

-Gain understanding of ETL -Earn the right certification.

Hadoop jobs are experiencing an all-time high. Today, there is a great demand for these professionals and the surge is going to stay the way in the future too.

The demand for Hadoop Big Data Analytics Solutions is rising, which is directly proportional to the rising demand for Hadoop professionals. igmGuru’s course will help you learn from industry experts and unlock doors to the finest job opportunities.

Contact Us Worldwide

1-800-7430-173

(US Toll Free)

+91-7240-740-740

(India)

+91-7240-740-740

(WhatsApp)

info@igmguru.com

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Hadoop Developer Training Certification Course Online