Syllabus

14 Weeks

Total Duration

749

Course Price

TOOLS YOU WILL LEARN

Hadoop

Hive

Spark

Kafka

Introduction to Big Data and Hadoop Framework (10 Hrs)

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.

Programing and Linux Fundamentals (10 Hrs)

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 (5 Hrs)

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 (18 Hrs)

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 Analytics and Rendering of Streaming Data (5 Hrs)

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 (22 Hrs)

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.

FAQs

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 would 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 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 objectives of the Big Data Hadoop and apache spark certification?

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 is the significance of having an Apache Spark Certification?

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. Spark is the hottest technology now and data scientists who are certified in it are receiving lucrative job offers.

How can Acadgild’s Big Data Hadoop Training help my career?

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 gain from the big data training will unfold new career options and transitions to more challenging roles.

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. We at Acadgild deliver both offline and online big data training to can reach to students from any corner of the world. Enroll Now for the course Big Data Hadoop Certification Training.

What is the scope of Big Data and Hadoop training for freshers 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.

What are few 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 & 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.

Tell me 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.

What if I miss a class?

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

Can I choose my mentors?

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

How will Acadgild make me a Big data expert?

Acadgild 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.

How does Acadgild ensure practical experience is gained through its big data training online?

Acadgild offers a comprehensive and in-depth understanding of the various aspects of Big Data through its big data training online program. Anyone looking forward to work in the Big Data realm will need a host of skills that include programming skills, analytical skills, database skills, machine learning, and parallel programming to name a few. Acadgild is an institute that hosts both classroom big data training as well as big data training online, with skilled trainers with years of professional experience. We also understand that big data training online should be imparted through hands-on projects and cases studies on big data. Thus, making the students of big data training truly proficient with necessary skills.

How do I pay the big data course fees?

You can pay the big data training fees 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.

What is the Refer and Earn program?

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 support@acadgild.com.
The details of the Refer and Earn policy can be found at https://acadgild.com/refer-and-earn.

What is the Refund Policy?

To request a refund, write to us at support@acadgild.com. 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.

How do I request for more information?

You can write to us at enquiry@acadgild.com with your contact details. Our representatives generally respond to requests within 24 hours.

Big Data Certification Course with Spark & Hadoop Training

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.