Hadoop Developer Training Certification Course Online

SKU: 8803
18 Lesson
|
30 Hours
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.

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?

  1. learn from industry experts
  2. job assistance by the best
  3. updated course + videos of sessions
  4. 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

Hadoop Developer Tutorial Modules

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

1. Apache Hadoop Cluster Components
2. HDFS Architecture
3. Using HDFS

1. YARN Architecture
2. Working With YARN

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

1. Creating DataFrames from Data Sources
2. Saving DataFrames to Data Sources
3. DataFrame Schemas
4. Eager and Lazy Execution

1. Querying DataFrames Using Column Expressions
2. Grouping and Aggregation Queries
3. Joining DataFrames

1. RDD Overview
2. RDD Data Sources
3. Creating and Saving RDDs
4. RDD Operations

1. Writing and Passing Transformation Functions
2. Transformation Execution
3. Converting Between RDDs and DataFrames

1. Key-Value Pair RDDs
2. Map-Reduce
3. Other Pair RDD Operations

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

1. Datasets and DataFrames
2. Creating Datasets
3. Loading and Saving Datasets
4. Dataset Operations

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

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

1. DataFrame and Dataset Persistence
2. Persistence Storage Levels
3. Viewing Persisted RDDs

1. Common Apache Spark Use Cases
2. Iterative Algorithms in Apache Spark
3. Machine Learning
4. Example: k-means

1. Apache Spark Streaming Overview
2. Example: Streaming Request Count
3. DStreams
4. Developing Streaming Applications

1. Multi-Batch Operations
2. Time Slicing
3. State Operations
4. Sliding Window Operations
5. Preview: Structured Streaming

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
Refund Policy
  • Duration : 30 hrs
  • Lifetime Free Upgrade
  • Reference Documents
  • 24x7 Support & Access

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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 Exam

CCA175 Certification Training FAQ