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  • This course includes
  • - 70 hours of live classroom
  • - 200 Hours of Industry Cases & Projects
  • - 24 X 7 Coding Support

ONLINE COURSE FEES
749 (all inclusive)

Big Data Certification Course with Spark & Hadoop Training

Course Overview

4.5(9895)

  • Intensive 14-Week Program
  • Collaborative Assignments with Mentors
  • Master Popular Big Data Technologies
  • Learn Tools like Hadoop and Spark

  • 70 hrs.

    Live
    Mentorship

  • 200 + hrs.

    Coding
    Assignments

  • 5 +

    Live
    Projects

  • 3 +

    Industry
    Cases

DURATION 14 Weeks
EFFORT 10-15 Hrs/Week
CAREERS Big Data Scientists, Big Data Analyst, Big Data Solutions Architect, Big Data Engineer, Big Data Researcher

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Why You Should Take This Course

Big Data is the new buzz word in the tech market. And even though words like Hadoop big data have been around for a while, the market still has demand for professionals with knowledge of Hadoop and big data.

Read more...

With AcadGild’s big data training certification and gain proficiency to work with Hadoop, MapReduce, Spark, Kafka, Apache Pig, Hive, and more. Hadoop training with Acadgild can prepare you with the skills and knowledge to get the best roles in the industry. Market trends indicate that many existing IT roles will perish eventually. Considering the same, this is a good time to learn something new. This course is prepared seeking inputs from the best in the industry and covers comprehensive knowledge that can help with in-depth learning. The Hadoop certification will equip individuals with the skills to manage big data for large companies and industries.

Increasing Availability of Data

By 2020, every human being will create around 1.7 MB of data per second,

Large-Scale Use of Data for Decisions

Around 85% of companies are using data to make key business and organizational decisions.

Huge Spending on Big Data

The spending on big data technology is expected to be reach $ 210 billion by 2020.

Why You Should Take This Course

Acadgild Experience

Whether you are a seasoned professional, fresher or someone seeking to upskill in new technologies. This big data training should help you gain insight into the real world use cases of big data. Additionally, with Hadoop knowledge you can try a new career and transition into a more challenging role.

Read more...

What’s more exciting is that all industries are already showing interest in Hadoop and big data. They are eager to learn from their data and prepare solutions that will help them gain a competitive edge in their industry. Enroll Now for the course Big Data Hadoop Certification Training.

Course Prep

To bring you up to speed

Phase One


The First
Steps

Setting Up

Enroll for Course, Access Dashboard, Meet Mentor, Attend Orientation

Phase Two


The
Training

Practice Drills

Live Sessions, Live Coding with Mentors, Case Studies & Assignments, Capstone Project

Phase Three


The
Launchpad

Career Preparation

Resume Building, Reputation Management, Mock Interviews, Networking

Certification International Certification


Corporate Partners

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Career Transforming Stories

I enjoyed the sessions with Acadgild. Amit (the mentor) was well informed and good at explaining concepts. He provided us with extra study material that was useful. I'm happy that I joined Acadgild.

Amol Vishwarupe
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Career Transforming Stories

Acadgild had quality content that was helpful. Their sessions were easy to follow and recorded so that students could access them anytime. I missed a few sessions due to my busy schedule, but never fell behind thanks to the recordings.

Ezhilmaran Jayaraman
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Career Transforming Stories

Acadgild covers all the latest technologies and has domain leaders as mentors. They helped me prepare for jobs and delivered on their promises.

Harshit Kumar Sinha
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Career Transforming Stories

The Acadgild support team was always there to respond to my doubts and queries. I got practical exposure to Big Data tools. Mock interviews in the placement program also helped me secure a good job.

Deepika Aggarwal
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Career Transforming Stories

Acadgild emphasizes active involvement of the students, and practical application of concepts learned in sessions. This course is worth the money and time. You will emerge a more confident, and highly skilled IT professional.

Ajay Juluru
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Career Transforming Stories

Learning at Acadgild was a good experience. They teach both theory and implementations of concepts. The support team at Acadgild was great. I had a great overall experience.

Shanmuka Srinivas B
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Career Transforming Stories

The mentor was good technically. He was adept at teaching and shared practical knowledge that was useful. The platform is user friendly and has a good collection of materials to learn from.

Sajeev Raghavan
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What You Will Learn in This Course

  • Cluster setup for processing Big Data on your own computer.
  • Core concepts behind big data problems, applications, and systems.
  • Know to Manage big data and how Hadoop fits into this role.

  • Big Data is referred to any complex volume of data that are difficult to store and retrieve using traditional file systems and data processing applications. Among the major Big Data concepts theories and applications, are unstructured and semi-structured data without any predefined data model. Apache Hadoop is an open-source Java-based framework, which enables the storage and processing of a variety of Big data formats in either single and distributed file systems.

    Based on the MapReduce technology, the Hadoop Distributed File System (HDFS) can be configured on a Hadoop cluster setup step by step. As a network administrator, you can also build Hadoop cluster at home or set up a personal Hadoop cluster to implement HDFS.

    Acadguild provides a range of Big Data basics tutorial along with tips on overcoming common Big Data challenges. Enroll today to learn this in-demand technology.

  • Fundamentals of Java, Scala and Linux

  • The Scala programming language is designed towards providing support for functional programming with a static type system. The functional program design in Scala enables its source code to be compiled to a Java bytecode, which can be easily executed on any Java virtual machine. Among the major functional programming principles in Scala includes features such as operator overloading, named parameters, along with support for algebraic data types, which are not present in Java.

    Powering 94% of the global supercomputers, Linux is a powerful operating system that is also operating in Android-based smartphones globally. Linux programmers are well-conversed with Linux shell programming commands and the use of command line instructions to interact with the Linux system.

    Along with online tutorials in Scala programming, Acadguild provides online material including Java fundamentals tutorial guides and Linux fundamentals training material.

  • Import and export data from traditional databases using Sqoop.
  • Import streaming data using Apache® Flume.
  • Workflow management for Hadoop using OOZIE.

  • With Big Data and Apache Hadoop coming to the fore of the tech industry, data ingestion and the subsequent management of the data has grown up to have increasingly lucrative pay packages in companies.

    The Apache Oozie tutorial deals with the Java Web Application called Oozie, which is used in the scheduling of Hadoop jobs. Oozie helps in the assimilation of data, while Sqoop is used for the transfer of data between Hadoop databases and other relational ones. Apache flume use cases include collection and movement of large amounts of data into the Hadoop system, with reliability and various simple functionalities.

    After the course, you will learn how to:

  • Import and export data from traditional databases using Sqoop
  • Import streaming data using Apache Flume
  • Manage workflow for Hadoop, with oozie workflow example
  • Database management has high scope in the near future, especially with the advent of Big Data Analytics. So study this course and get a head start over your competition!

  • Learn various MapReduce phases
  • Data processing methods for various file formats.
  • Pig & Hive
  • HBase NoSQL database

  • When learning about Bigdata and Hadoop in particular, it is very important that you also learn what is at the heart of the software, which means that understanding MapReduce should be a priority. Learning how MapReduce works in Hadoop will help you understand the architecture of Hadoop and will give you a head start in learning and using the different components of Hadoop ecosystem.

    Hadoop MapReduce is what allows for massive scalability across hundreds, if not thousands of servers, that are part of the Hadoop cluster. As you probably know by now, Hadoop is open source software managed by Apache and is used to compute large amounts of data coming in from multiple computing nodes. A good Hadoop course and MapReduce tutorial will make you familiar with MapReduce architecture in order to be able to use the software tailor made to you and your company’s requirement.

    Another key element that you will come across in your studies of Hadoop is HBase. Hadoop HBase runs on top of Hadoop. Any basic HBase introduction will tell you that it is a database management system. The course should also teach you the difference between Pig and Hive as well as work with a real-time MapReduce example in order to fully comprehend the abilities of the software. Sign up for a course at Acadgild and get an insight into this useful technology.

  • Kafka components & use cases
  • Producers and consumers
  • Kafka Streams, Features, Concepts, Architecture.

  • Apache Kafka is open source software written in Java and Scala and is a distributed streaming platform. This software is used to build real-time data pipelines and streaming apps. One of the most common misunderstandings that anyone learning this software has is that Kafka and Spark can be used interchangeably.

    However, there is a key difference between Kafka streaming and Spark streaming. Kafka streaming writes back data to Kafka, true real-time streaming, which is ideal for scalability and high availability. Spark streaming, on the other hand, uses mini batching for streaming data and is used to support MapReduce on top of Hadoop.

    An interesting feature with Kafka is to visualize Kafka streams. The software is now being developed in order to visualize and interact with data streams in motion. Before, this was restricted only to data at rest. One of the popular Kafka visualization open source software is Alooma Live.

  • Get introduced to Apache Spark and get your Spark cluster running.
  • Spark DataFrames and RDD.
  • Analyze and process real world data sets with Spark SQL and Spark Streaming.
  • Regression, Clustering & Classification algorithms using Spark MLLib.

  • Apache Kafka is open source software written in Java and Scala and is a distributed streaming platform. This software is used to build real-time data pipelines and streaming apps. One of the most common misunderstandings that anyone learning this software has is that Kafka and Spark can be used interchangeably.

    However, there is a key difference between Kafka streaming and Spark streaming. Kafka streaming writes back data to Kafka, true real-time streaming, which is ideal for scalability and high availability. Spark streaming, on the other hand, uses mini batching for streaming data and is used to support MapReduce on top of Hadoop.

    An interesting feature with Kafka is to visualize Kafka streams. The software is now being developed in order to visualize and interact with data streams in motion. Before, this was restricted only to data at rest. One of the popular Kafka visualization open source software is Alooma Live.

You will receive the download link in your email.

Our Course in Comparison

FEATURES acadgild logo OTHER VIRTUAL
LIVE CLASSES
SELF PACED
COURSES
Duration 14 Weeks 10-12 Weeks 4-6 Weeks
Live Training Hours 70 40 -
Total Coding Hours 200 100-120 40-50
Projects acadgild logo acadgild logo acadgild logo
Gamified Dashboard acadgild logo Rarely provided acadgild logo
Lifetime Access to Dashboard acadgild logo acadgild logo acadgild logo
24x7 Coding Support acadgild logo Rarely provided acadgild logo
Portfolio Development acadgild logo acadgild logo acadgild logo
Pricing 749 2000 - 5000 25 - 50

FAQs

The course is about big data and big data technologies. It teaches Hadoop, Map Reduce, Spark, Kafka, Apache Pig, Hive, and other programs. It will help you explore, analyze, and interpret different kinds of data.


This course is for anyone interested in big data. It is ideal for aspiring Business Analysts from different backgrounds. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or data analytics.


The digital age is evolving at a rapid pace.This is why it is essential to keep up to date about the latest developments in data sciences.Data analysts and programmers who have completed bigdata and hadoop training are sought after by premier organizations. Having an Acadgild Hadoop certification will not only guarantee freshers a higher chance of being employed by a powerhouse agency upon entering the workforce, but it will also enhance their earning potential. Big data is both the present and the future. Learning about Hadoop is considered being on the forefront of the evolution of the field. It would not be a stretch to say that Hadoop career for freshers is an extremely lucrative market that is only starting to be explored.


Acadgild is a part of the AEON learning initiative and is a leading tech education website that provides expertise in big data education. Students of Acadgild also are offered round the clock services and support including lifetime access to course material as well as internationally recognized certification. They receive seventy-two hours of live classroom interaction with expert faculty members, assistance in finding gainful employment, over two hundred hours of cases and projects from the industry to help ensure what is learnt can be applied, and coding support all year round. In addition to these services, Acadgild also ensures that the quality and efficiency of trainers are world class. With this, we have ensured that all students are given the best big data hadoop training material, support and instructions possible. Acadgild's hadoop course syllabus is also designed to get the best out of those attending the classes.


Acadgild offers a comprehensive and in-depth understanding of the various aspects of Big Data. Anyone looking forward to working in the Big Data realm will need a host of other skills that include programming skills, analytical skills, database skills, machine learning, and parallel programming to name a few. Acadgild is an institute that employs skilled trainers with years of professional experience in order to learn the various aspects of Big Data. We also understand that big data training online should be imparted through hands-on projects and cases studies on big data. This will make students truly proficient in big data.


Acadgild offers a comprehensive and in-depth understanding of the various aspects of Big Data. Anyone looking forward towards working in the Big Data realm will need a host of other skills that include programming skills, analytical skills, database skills, machine learning, and parallel programming to name a few. Acadgild is an institute that employs skilled trainers with years of professional experience in order to learn the various aspects of Big Data. We also understand that the only way to become truly proficient in Big Data is through hands-on projects and understanding use cases on big data.


The demand for Apache Spark developers is on the rise. Those who are equipped with an Apache Spark certification have numerous avenues in the field of big data exploration. Spark is the hottest technology now and data scientists who are certified in it are receiving lucrative job offers.


Yahoo!, the biggest contributor to the creation of Hadoop– Yahoo search engine uses Hadoop, Facebook – Developed Hive for analysis,Amazon,Netflix,Adobe,eBay,Spotify,Twitter,Adobe and many more


Hadoop and Spark require basic knowledge of Linux and Java, or any other object-oriented programming language. Having said that, the course covers the basics of these to ensure that those without any prior knowledge are brought up to speed before starting the sessions on Big Data.


• Microsoft® Windows® 7/8/10 (32- or 64-bit).
• 4GB RAM minimum, 8 GB RAM (recommended).
• Intel Core i3 or higher processor.
• Internet speed: Minimum 1 Mb/s.
• Intel® VT-x (Virtualization Technology) enabled.


Data Scientists work with data according to business needs. They are responsible for data analysis. Big Data Developers design and implement programs that make the analysis possible.


The course will take 10-15 hours of your time every week.


Yes, you may. Our curriculum is comprehensive and will make you capable to create your own project. Our support staff is also committed to help you along the way. Alternately, you can work on one of the projects in our repertoire to implement what you learn.


All sessions are recorded and uploaded to the course dashboard for you to access at your convenience.


Our mentors are top-notch industry professionals with at least 5 years of experience. You will be taught by the best in all batches.


You can view a recorded demo session in the Course Overview section. Alternately, you can sign up for a live demo there.


Our job placement program offers students one-on-one career counselling, and the chance to work with our corporate partners.
Candidates who fulfill the following criteria will be eligible for the program:
• Scored 75% marks or above (resulting in a Platinum certificate) in the course.
• Successfully completed at least 2 quality projects.
• Scored 80% in all the mock technical interviews.
• Was never found plagiarizing code.

*This feature is currently available only for students in India.


You can pay after registering for the course. We accept most credit and debit cards. You can also pay via net banking. Our payment portal has an EMI option if you wish to pay in installments.


Our ‘Refer and Earn' program gives you a discount on the course fees when your references join us. You may refer students by writing to us at [email protected]
The details of the Refer and Earn policy can be found at https://acadgild.com/refer-and-earn.


To request a refund, write to us at [email protected] You may apply for a refund in the first three days after paying the fees. No requests will be entertained after this initial period. The terms and conditions of AcadGild's refund policy may be revised without prior notice. Please check websites for updates on this policy.


You can write to us at [email protected] with your contact details. Our representatives generally respond to requests within 24 hours.


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