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Big Data Hadoop Certification Training Course in Ahmedabad

Overview of Big Data Hadoop Course in Ahmedabad

This course in Ahmedabad will make you a master of Hadoop framework concepts. It will also teach you about the tools and methodologies used in Big Data.

With the help of this course, you will be able to progress your IT career as a Big Data Developer.

Furthermore, the course curriculum also covers Big Data essentials like Spark applications, functional programming and parallel processing.

 


Benefits of learning Big Data Hadoop

When you choose to learn Big Data Hadoop, you are future-proofing your IT career.

As per market insights, Big Data has already surpassed the USD 7.35 Billion mark and in the coming years, it is expected that this number will multiply by several folds.

With the widespread adoption of Big Data and Hadoop by SMEs and established brands, it is no news that taking this course will help you and will not be a burden.

 


Related job roles

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

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3000+ Learners

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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
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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
Career

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 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.

Fees & Training Options in Ahmedabad

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.

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

Our Top Instructors

Advisor

Mr. Srikanth

8+ years of working experience in MNC

  • He is a revered Data Science and Big Data influencer
  • He has been named as an influential name in the world of Big Data
  • He is the author of several Data Science and Big Data websites like Datafloq, Data Science Central, and The Guardian.
  • He also speaks regularly at prestigious events.

Career after Big Data Hadoop

Every sector of the global economy now has a presence on the internet.

This means that every sector of the global economy relies on Big Data to progress, grow and make more money by taking informed decisions after analyzing the data generated by its customers.

Our big data Hadoop certification course in Ahmedabad is carefully designed to train you perfectly for a myriad of job opportunities across many sectors.

The Big Data Hadoop course syllabus consists of hands-on projects and mock tests that will let you try your hands on industry-niche pertaining to Big Data applications.

The Big Data Hadoop course duration might be short but within the limited number of days with us, you will be exposed to industry insights and events of innovation taking place in the sector.

Our Big Data and Hadoop full course in Ahmedabad consists of online sessions that are taken by industry experts who are veterans in the sector. We also have trainers who are working professionals at MNCs.

We are one of the leading Big Data Hadoop training institutes in India offering the best Big Data Hadoop course. We made sure that the course curriculum is carefully designed so that our students can clear the CCA175 Hadoop certification exam in their first attempt.

We started offering Big Data Hadoop training in India with the idea of ensuring that the course applicants can remain flexible throughout their IT career and at the same time, stay ahead of the competition.

We also know that the demand for Hadoop big data courses in Ahmedabad is immense which is why we periodically refresh the course curriculum to remain relevant and offer course applicants the competitive edge over non-certified IT personnel competing for high-paying jobs in India and abroad. 

Our Big Data Hadoop certification training course will give you all there is to know about – 

  • Hadoop and
  • Spark.

We made sure that the training sessions follow a hands-on approach by allowing you to take part in industry-based projects using our state-of-the-art labs.

Big Data Training in Ahmedabad

  • Join Apponix to learn under well-informed and experienced trainers.Apponix prepares the students to fit to meet any upcoming professional challenges
  • We also provide the best certification guidance along with credible assistance in interview and professional level resume preparation.

For more details pertaining to this course, feel free to contact us.

 

 

Career

Course Reviews

Client

Nikil

Software Engineer

Firstly I thank Apponix, for giving such a best training and knowledge for everyone here. Secondly I thank my trainer for sharing his knowledge to us. He gave his best in explaining all the topics with understandably. I'm very thankful for training under him. I recommend others to go here for getting best training.

Client

Gopinath

Software Engineer

Class is really well organized and the tutor holds very well knowledge on the subject and explains in-depth with good examples. I thank you a lot for helping me overcome the fear of programming and learn Big Data Hadoop from very basic.

Client

Parvathi

Associate Software Engineer

Apponix is the best training center... Apponix is proud to say that one of the best training center providers teaches us to every concept of Big Data Hadoop...this is the best training center.

Client

Ajmeena

Software Engineer

My experience is good with Apponix Bangalore, I have done my Hadoop with Spark scala training a month ago. These courses have helped me to gain that competitive edge that is required at the job. Thank u so much all Apponix Bangalore members for providing support.

Client

Bhagyashree

Associate Software Engineer

I have recently completed Hadoop training at Apponix. I took the course on Bigdata and Hadoop, it is really helpful in understanding the overall ecosystem. Especially the good thing is the faculty is a certified expert with industry experience. Hadoop trainer's way of teaching and the entire program structure is very good. 

Client

Sushmitha

Popular course

I have taken Big Data Hadoop and Spark course at Apponix. I found the trainer very knowledgeable, and all the courses that I enrolled in were delivered in a very detailed and professional manner. For any person looking for Hadoop training, you can join Apponix without hesitation.

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.

Our Recent Placements

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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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