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Big Data Certification Course with Spark & Hadoop Training

4.7 (500+ Ratings)

Acadgild’s Big Data Certification Training with Spark & Hadoop will help you master key concepts in Big Data & the Hadoop framework. It covers key components of the Big Data ecosystem such as Yarn, MapReduce, HDFS, Pig, Hive, HBase, Kafka and Apache Spark.

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60+ Hrs

Live Mentoring

200+ Hrs

Coding Assignments


Real World Projects

24 x 7 

Coding Support

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Course Report


Introduction to big data and hadoop framework

  • Hadoop cluster setup
  • Big data problems, applications, and systems
  • Managing big data
If you want to work with Big Data, it is essential for you to know distributed computing. Get to know one of the most popular distributed computing frameworks – Hadoop – in this module.

programming and linux fundamentals

  • Fundamentals of Java, Scala and Linux

Part of any big data developer’s job is to create programs that can make the best use of data. So, follow up the module on Hadoop by learning the fundamentals of Java, Scala and Linux.

data ingestion and workflow management

  • Import and export data using Sqoop
  • Import streaming data using Apache Flume
  • Workflow management using Oozie
    It is important to know data ingestion and workflow management if you want to maintain efficient data pipelines. Learn Sqoop, Flume and Oozie in this module.

big data processing

  • MapReduce phases
  • Data processing methods
  • Handling big data with Apache Pig
  • Architecture of Hive
  • Database creation and operation of tables
  • Hive query language (HQL) statements
  • HBase NoSQL database and integration with Hadoop

After learning how to collect and manage data, learn how to process it with skills in MapReduce, Pig, Hive, HQL & HBase.

real time analysis and rendering of streaming data

  • Kafka components & use cases
  • Configuration of producers and consumers
  • Reading messages from Kafka
  • Kafka streams, features, concepts, architecture

Add value to your analysis by making it in real-time. Learn the fundamentals of Kafka in this module.

big data analytics with spark

  • Get your Spark cluster running
  • Spark DataFrames and RDD
  • Analyze and process real world data sets with Spark SQL and Spark streaming
  • Regression, clustering and classification algorithms using Spark MLLib

Finally, learn big data analytics in full swing with Spark. This extensive module will give you all the practice you need to process and analyze data sets to solve problems.

capstone project

The course culminates in an enterprise-level project for a fictitious client that will require you to use all the skills that you learn during your training. Every student is guided by industry experts as they bring their personal projects to life. Alternately, students may choose to work on a live project from their organization. We encourage all our students to pursue projects that are best suited for their careers and domains. The project is an opportunity for you test your skills and demonstrate your ability to invent solutions for real world problems.

Why Invest In A Big Data Career

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.

With AcadGild’s big data and Hadoop certification you will 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. The big data Hadoop projects will not give you hands-on experience about the various application of Big data, it also makes you job ready as you learn to tackle real world problems. This course is prepared seeking inputs from the best in the industry and covers comprehensive knowledge that can help with in-depth learning through live big data Hadoop projects and case studies. The big data and Hadoop certification will equip individuals with the skills to manage big data for large companies and industries.


Huge Investment in Big Data

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

Wide Use of Big Data

Wide Use of Big Data

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

Data-Driven World

Data-Driven World

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

One Simple Pricing

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Billed once

  • Live Online Sessions
  • Expert Mentors
  • Small batches
  • Tech Support Available
  • Interview Preparation

Here’s what people are saying about the course

You will emerge a highly skilled IT professional

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.

Project Manager (PMO-Delivery) at Deloitte

The support team at Acadgild was great

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.

Senior Data Engineer at Brillio

The Acadgild Experience


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Frequently Asked Questions

What is the Big Data and Hadoop Certification course about?

The big data and Hadoop certification is about big data and related technologies. We teach Hadoop, Map Reduce, Spark, Kafka, Apache Pig, Hive, and other programs. The curriculum lets you explore, analyze, and interpret a variety of data.

Who should take up the Big Data and Hadoop certification course?

The big data and Hadoop certification program is for anyone interested in big data. It is ideal for aspiring business analysts. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or big data.

What are the prerequisites for this course?

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.

What are the software and hardware requirements?

• 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.

How many hours will this course require every week?

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

Will I develop my own project while taking up this course?

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.

What are the learning objectives of Big Data Hadoop and Apache Spark certification courses?

The Big Data Hadoop and apache spark certification course is built to bestow a comprehensive idea about Big Data frameworks. It uses Hadoop and Spark, as well as HDFS, YARN, and MapReduce. In our Big Data Hadoop and apache spark certification program, you will study the usage of Pig, Hive, and Impala for processing and scrutinize large datasets stored in the HDFS. Also, as a part of the big data course, you must execute realistic, industry-based project work.

What are the opportunities for freshers after taking up Big Data and Hadoop certification course at Acadgild?

The digital age is evolving at a rapid pace. Therefore, it is essential to keep up to date about the latest developments in data sciences. Data analysts and programmers who have completed big data and Hadoop training are sought after by premier organizations. Going through Acadgild’s big data and Hadoop training will not only guarantee freshers a higher chance of being employed by eminent employers, but it will also enhance their earning potential. Big data is both the present and the future. The big data and Hadoop training is considered to be at 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.

Which are some of the popular companies using Hadoop?

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

What separates Data Scientists from Big Data Developers?

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.

What is the difference between Big Data Analytics and Big Data Engineering?

Big Data Engineering includes all processes that aim to increase the accessibility of data from various sources and optimize it for analysis. Big Data Engineers use tools like Hadoop, MapReduce, NoSQL and MySQL for their tasks.

Big Data Analytics, on the other hand, focuses primarily on the process of data analysis. It involves creating reports that include graphs and infographics to effectively communicate insights from data. Data Analysts use programs like SQL, Hive, Pig, Matlab, R, Excel, etc.

Can I know more about the Job Placement Assistance program?

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.

How much do Big Data Developers earn?

Big Data Developers earn Rs 5,50,000 on average according to Glassdoor. Experienced Big Data Developers make as much as Rs 17,00,000 - 20,00,000.

Case studies