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Big Data Hadoop Certification Training Course

Overview of Big Data Hadoop Training Course

  • Our Big Data Hadoop certification training provides a comprehensive overview of Hadoop and its ecosystem. This training is designed to help you gain an in-depth understanding of Big Data concepts and the Hadoop framework, including HDFS, MapReduce, Pig, Hive, and HBase.
  • Our experienced trainers will guide you through the course, ensuring that you have a firm grasp of the essential Big Data technologies and best practices. You'll also have the opportunity to work on real-world projects, providing you with valuable hands-on experience.
  • With our Big Data Hadoop certification training, you'll be well-equipped to take on the challenges of working with Big Data in a variety of industries. Whether you're looking to enhance your skills or transition to a new career, this training is an excellent way to achieve your goals.

 


Benefits of learning Big Data Hadoop

  • By taking our Big Data Hadoop certification course, you'll gain a comprehensive understanding of the Hadoop ecosystem and Big Data concepts. This training will provide you with the skills and knowledge you need to work with large datasets, making you a valuable asset to any organization.
  • You'll also have the opportunity to work on real-world projects, giving you hands-on experience with Hadoop and related technologies. This will help you gain practical skills that can be applied to your work.
  • Our experienced trainers will guide you through the course, answering any questions you have and providing personalized feedback. This will ensure that you have a deep understanding of the material and are well-prepared to work with Big Data.
  • Earning a Big Data Hadoop certification demonstrates your expertise in Hadoop and Big Data technologies. This can lead to higher-paying job opportunities and career advancement.
  • Finally, by taking our Big Data Hadoop certification course, you'll join a community of professionals with similar interests and goals. This network can provide you with valuable resources and connections that can further enhance your career prospects.

 


Related job roles

  • Hadoop Developer
  • Hadoop Admin
  • Hadoop Architect
  • Big Data Analyst
  • Data scientist

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3000+ Learners

Skills Covered in Big Data Hadoop

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Spark SQL
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Parallel processing
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Spark applications
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Functional programming
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Real-time data processing
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Spark RDD optimization techniques

Big Data Hadoop Course

Is this course enough to pass the certification exam?

Yes, the course curriculum followed in this course is enough to make you ready to take and ace the CCA175 Hadoop certification exam.

What are the applications of Big Data and Hadoop?

Hadoop is an open-source platform. It is meant for storing data. It runs on hardware clusters and offers immense data processing capabilities. It is preferred by businesses and brands as it can run numerous tasks simultaneously.

Why Should You Learn Big Data?

  • Most demanding career with promising opportunities
  • Big Data find its implementation in new areas each day. And its implementation in the fields of AI, Robotics, Web Development, DevOps and so on, has considerably increased the credibility and demand of Big Data Hadoop professionals
  • Most preferred, premier and flexible language which is of open source form
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Big Data Hadoop Training Key Features

Access to live projects
Lifetime access to course materials
Ten times more interactions with online class trainers
Live training sessions for Apache Spark, Hive, Yarn, MapReduce, Pig, and HBase.
Course materials are on par with the curriculum needed to clear the CCA175 certification exam.

Big Data Hadoop Videos

Big Data Hadoop Course

What does Big Data mean?

Big Data is the process of analyzing structured, unstructured, and semi-structured data. The incoming data could be in the form of videos, texts, and images generated by every individual using the internet every day. The purpose of Big Data is to provide brands and businesses actionable insights so that they can make better business-critical decisions.

The purpose of Big Data is to provide brands and businesses actionable insights so that they can make better business-critical decisions.

The purpose of Big Data is to provide brands and businesses actionable insights so that they can make better business-critical decisions.

What is Hadoop?

It is an open-source framework meant for data storage and processing. It is preferred by enterprises that rely on Big Data.

Available Training Options

Online Training

  • Flexible class schedules
  • Access to recorded sessions of live classes for reference.
  • Limited seats to maximize interactions and minimize distractions.
  • Online classes will be taken by industry veterans associated with MNCs.
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Big Data Hadoop Training Syllabus

Pre-requisites

This course is meant for –

  • Junior IT professionals
  • Software Developers
  • Software Architects
  • Senior IT professionals
  • Software testers
  • Mainframe professionals
  • Business Intelligence professionals
  • IT Project Managers
  • Data Scientists
  • Data Management experts
  • Data Analytics professionals and
  • IT Graduates.
  • Prerequisites for this course are as follows –
  • The applicant must have a grasp of Core Java and SQL.

Big Data Hadoop Course Syllabus

Big Data Hadoop
1: Hadoop Introduction
  • Introduction to Data and System
  • Types of Data
  • Traditional way of dealing large data and its problems
  • Types of Systems & Scaling
  • What is Big Data
  • Challenges in Big Data
  • Challenges in Traditional Application
  • New Requirements
  • What is Hadoop? Why Hadoop?
  • Brief history of Hadoop
  • Features of Hadoop
  • Hadoop and RDBMS
  • Hadoop Ecosystem’s overview
2: Hadoop Installation
  • Installation in detail
  • Creating Ubuntu image in VMware
  • Downloading Hadoop
  • Installing SSH
  • Configuring Hadoop, HDFS & MapReduce
  • Download, Installation & Configuration Hive
  • Download, Installation & Configuration Pig
  • Download, Installation & Configuration Sqoop
  • Download, Installation & Configuration Hive
  • Configuring Hadoop in Different Modes
3: Hadoop Distribute File System (HDFS)
  • File System - Concepts
  • Blocks
  • Replication Factor
  • Version File
  • Safe mode
  • Namespace IDs
  • Purpose of Name Node
  • Purpose of Data Node
  • Purpose of Secondary Name Node
  • Purpose of Job Tracker
  • Purpose of Task Tracker
  • HDFS Shell Commands – copy, delete, create directories etc.
  • Reading and Writing in HDFS
  • Difference of Unix Commands and HDFS commands
  • Hadoop Admin Commands
  • Hands on exercise with Unix and HDFS commands
  • Read / Write in HDFS – Internal Process between Client, NameNode & DataNodes
  • Accessing HDFS using Java API
  • Various Ways of Accessing HDFS
  • Understanding HDFS Java classes and methods
  • Commissioning / DeCommissioning DataNode
  • Balancer
  • Replication Policy
  • Network Distance / Topology Script
4: Map Reduce Programming
  • About MapReduce
  • Understanding block and input splits
  • MapReduce Data types
  • Understanding Writable
  • Data Flow in MapReduce Application
  • Understanding MapReduce problem on datasets
  • MapReduce and Functional Programming
  • Writing MapReduce Application
  • Understanding Mapper function
  • Understanding Reducer Function
  • Understanding Driver
  • Usage of Combiner
  • Usage of Distributed Cache
  • Passing the parameters to mapper and reducer
  • Analysing the Results
  • Log files
  • Input Formats and Output Formats
  • Counters, Skipping Bad and unwanted Records
  • Writing Join’s in MapReduce with 2 Input files. Join Types
  • Execute MapReduce Job - Insights
  • Exercise’s on MapReduce
5: Hive
  • Hive concepts
  • Hive architecture
  • Install and configure hive on cluster
  • Different type of tables in hive
  • Hive library functions
  • Buckets
  • Partitions
  • Joins in hive
  • Inner joins
  • Outer Joins
  • Hive UDF
  • Hive Query Language
6: PIG
  • Pig basics
  • Install and configure PIG on a cluster
  • PIG Library functions
  • Pig Vs Hive
  • Write sample Pig Latin scripts
  • Modes of running PIG
  • Running in Grunt shell
  • Running as Java program
  • PIG UDFs
7: Sqoop
  • Install and configure Sqoop on cluster
  • Connecting to RDBMS
  • Installing Mysql
  • Import data from Mysql to hive
  • Export data to Mysql
  • Internal mechanism of import/export
8: HBase
  • HBase concepts
  • HBase architecture
  • Region server architecture
  • File storage architecture
  • HBase basics
  • Column access
  • Scans
  • HBase use cases
  • Install and configure HBase on a multi node cluster
  • Create database, Develop and run sample applications
  • Access data stored in HBase using Java API
  • Map Reduce client to access the HBase data
9: YARN
  • Resource Manager (RM)
  • Node Manager (NM)
  • Application Master (AM)
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Certifications & Exam related to Big Data Hadoop

The course certification is valid for life.

The course will take about 45-50 hours to be completed successfully.

 This program would prepare you for success in your career as a Big Data Engineer by offering you insights into Big Data technologies and processes. The program would certify your new skills and on-the-job knowledge and expertise. This course would prepare you to become an expert in data engineering by teaching you how to use Hadoop ecosystem tools including HDFS, MapReduce, Flume, Kafka, Hive, HBase, and more.

Certification
"One-on-One Personalised Career Guidance with Our Co-Founder!"

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Career after Big Data Hadoop

  • As businesses continue to generate vast amounts of data, the need for skilled professionals in Big Data Hadoop has become crucial. Azure offers several Big Data services and tools, making it a popular choice for Big Data Hadoop professionals.
  • A career in Azure Big Data Hadoop offers exciting opportunities for those interested in data science and analytics. With Azure, you can work with a range of tools and platforms such as HDInsight, Data Lake Analytics, and Databricks, providing a diverse and challenging work environment.
  • As an Azure Big Data Hadoop professional, you will work on complex projects, extracting valuable insights from large data sets, and designing efficient data processing systems. You will also collaborate with cross-functional teams and stakeholders, translating business requirements into technical solutions.
  • With the demand for Big Data Hadoop professionals on the rise, the job opportunities in this field are expected to grow rapidly in 2023 and beyond. Whether you are a seasoned professional or just starting your career, pursuing a career in Azure Big Data Hadoop can be a rewarding and lucrative choice.
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Big Data Hadoop Course Reviews

Frequently Asked Questions

It is an open-source framework consisting of interconnected standards, platforms and systems.

 

IT professionals need to future-proof their careers and the best way to do that is to take this course. SMEs and established brands alike are rapidly adopting Big Data and Hadoop. Hence the demand for IT professionals with these skills is increasing with each passing year. Taking this course will help you get a high-paying job and at the same time, offer you a competitive edge over your non-certified colleagues.

 

 All courses available online  & Offline classes are available in Bangalore, Pune, Chennai only.
 

It is mentioned under the training options. Online, Offline & self paced learning course fees differs.
 

Course duration is 2 months or 60 Hrs Usually daily 2 hrs.
 

Yes, We provide course completion certificate on web design & development. apart from this there is 1 more certificate called as “ Apponix Certified Professional in Big Data Hadoop”
If you score more than 80% in the exam you will be awarded as “Apponix Certified Professional”

Yes, we provide you the assured placement. we have a dedicated team for placement assistance.
 

All our trainers are working professional having more than 6 years of relevant industry experience.

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Big Data Certification Course career in 2023

Big Data is a rapidly growing field that is transforming the way organizations manage and analyze data. One of the key technologies that make Big Data possible is Hadoop. Our Big Data Hadoop certification training course is designed to provide you with a comprehensive understanding of Hadoop and its ecosystem, as well as the skills and knowledge you need to work with Big Data.

Why should you take our Big Data Hadoop certification course?

  • Comprehensive training: Our Big Data Hadoop certification training provides a comprehensive overview of Hadoop and its ecosystem. You'll gain a deep understanding of Big Data concepts and the Hadoop framework, including HDFS, MapReduce, Pig, Hive, and HBase. This training will give you a solid foundation in the essential Big Data technologies and best practices.
  • Hands-on experience: Our Big Data Hadoop certification course is designed to provide you with hands-on experience working with Hadoop and related technologies. You'll have the opportunity to work on real-world projects, giving you practical skills that can be applied to your work.
  • Experienced trainers: Our experienced trainers are experts in Big Data and Hadoop technologies. They'll guide you through the course, answering any questions you have and providing personalized feedback. This will ensure that you have a deep understanding of the material and are well-prepared to work with Big Data.
  • Career advancement: Earning a Big Data Hadoop certification demonstrates your expertise in Hadoop and Big Data technologies. This can lead to higher-paying job opportunities and career advancement. By taking our Big Data Hadoop certification course, you'll be well-equipped to take on the challenges of working with Big Data in a variety of industries.

Why is Big Data Hadoop more popular?

  • Big Data Hadoop is more popular because it provides a cost-effective way to manage and analyze large volumes of data. Hadoop is an open-source framework that allows organizations to store and process massive amounts of data using commodity hardware. This makes it possible to scale storage and processing power as needed, without incurring the high costs associated with traditional data warehousing solutions.
  • Hadoop also provides a flexible and scalable platform for processing and analyzing data. It supports a wide range of data sources, including structured and unstructured data, and can be used for batch processing, real-time processing, and machine learning.

Job opportunities for Big Data Hadoop professionals in 2023

  • As the demand for Big Data and Hadoop technologies continues to grow, job opportunities for Big Data Hadoop professionals are expected to be strong in 2023 and beyond. According to the Bureau of Labor Statistics, employment in computer and information technology occupations is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations.
  • Job titles for Big Data Hadoop professionals include Hadoop developer, Big Data engineer, Data scientist, and Business intelligence analyst. These professionals are in high demand in a variety of industries, including healthcare, finance, retail, and technology.

In conclusion, our Big Data Hadoop certification training course is an excellent way to gain the skills and knowledge you need to work with Big Data. With hands-on experience, expert trainers, and a comprehensive curriculum, you'll be well-equipped to take on the challenges of working with Big Data in a variety of industries. Additionally, the demand for Big Data Hadoop professionals is expected to continue to grow in 2023 and beyond, making this a promising career path for those with a passion for data and technology.

What are the concepts of Big Data?

The concepts of Big Data are as follows – 

  • Volume – the amount of data generated every day by every individual using the internet
  • Variety – the type of data generated by an individual which can be text, image, or video and
  • Velocity – refers to the speed at which the data is received by companies that rely on bid data.
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