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Big Data Engineer

Expert instruction

2 skill-building courses

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Self-paced

Progress at your own speed

Learn job critical skills like Big Data & Hadoop frameworks, leverage the functionality of AWS services, and learn to use the database management tool and MongoDB to store data via interactive live sessions, practical labs, & industry projects.

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2541 ratings
8241 already enrolled

What you will learn

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68 hours of blended learning

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24 hours of self-paced, online learning

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Shareable Certificate

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4 industry-based course-end projects

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Interactive learning

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Blended learning

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Dedicated mentoring sessions from industry experts

About the Program

Tell me something about this program?


  • IBM is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries. IBM is one of the world's largest employers, with over 350,000 employees, known as "IBMers". At least 70% of IBMers are based outside the United States, and the country with the largest number of IBMers is India. [7] IBM employees have been awarded five Nobel Prizes, six Turing Awards, ten National Medals of Technology (USA) and five National Medals of Science (USA). This collaboration between IBM and Datatrained provide our student's hands-on experience in predictive analytics and advanced computing.

    Expectations for this program co-developed with IBM:
    1. Industry-recognized certificate from IBM and Datatrained.
    2. IBM Cloud Credits for 6 months equivalent to $1200
    3. IBM Cloud Platforms access like IBM Watson for hands-on practice




What will I gain from this program?


Learn to handle Big Data and derive valuable insights with IBM's Big Data tools. You are going to learn the right way to store, manage, access data and information with technologies like Hadoop and also Spark as applied by the IBM BigInsights products.

Big Data is data that is too big to handle with standard techniques. This poses brand new challenges with regards to storing, retrieving, manipulating, and examining Big Data. Beginning with a program on the basic principles of Big Data, you will find out Big Data with IBM's collection of items, and also various other open-source tools. Leveraging these tools and strategies, you will have the ability to deal with Big Data and gain vital insight from it.




What are the prerequisites for this course?


Basic Linux Operating System knowledge. B. Basic understanding of the Scala, Python, R or Java programming languages.




Why become a Big Data Engineer?


Big Data Engineers create and maintain analytics infrastructure and are responsible for the development, deployment, maintenance, and monitoring of architecture components, such as databases and large-scale processing systems. The global Big Data market is expected to grow at a CAGR of 31.3 percent by 2025, so this is the perfect time to pursue a career in this field. The valuable skills you’ll acquire with this Big Data Engineer course will help you secure employment with companies as diverse as IBM, Coca-Cola, Ford Motors, Amazon, HCL, and Uber. Big Data Engineers are employable across a variety of industries such as transportation, healthcare, telecommunications, finance, manufacturing, and many more. According to Glassdoor, the average annual salary for a Big Data Engineer is $137,776, with more than 130K jobs in this field worldwide.





Tools Covered

Instructors

Learn from India’s leading Software Engineering faculty and Industry leaders

Course Content

Tell me something about this program?


  • IBM is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries. IBM is one of the world's largest employers, with over 350,000 employees, known as "IBMers". At least 70% of IBMers are based outside the United States, and the country with the largest number of IBMers is India. [7] IBM employees have been awarded five Nobel Prizes, six Turing Awards, ten National Medals of Technology (USA) and five National Medals of Science (USA). This collaboration between IBM and Datatrained provide our student's hands-on experience in predictive analytics and advanced computing.

    Expectations for this program co-developed with IBM:
    1. Industry-recognized certificate from IBM and Datatrained.
    2. IBM Cloud Credits for 6 months equivalent to $1200
    3. IBM Cloud Platforms access like IBM Watson for hands-on practice




What will I gain from this program?


Learn to handle Big Data and derive valuable insights with IBM's Big Data tools. You are going to learn the right way to store, manage, access data and information with technologies like Hadoop and also Spark as applied by the IBM BigInsights products.

Big Data is data that is too big to handle with standard techniques. This poses brand new challenges with regards to storing, retrieving, manipulating, and examining Big Data. Beginning with a program on the basic principles of Big Data, you will find out Big Data with IBM's collection of items, and also various other open-source tools. Leveraging these tools and strategies, you will have the ability to deal with Big Data and gain vital insight from it.




What are the prerequisites for this course?


Basic Linux Operating System knowledge. B. Basic understanding of the Scala, Python, R or Java programming languages.




Why become a Big Data Engineer?


Big Data Engineers create and maintain analytics infrastructure and are responsible for the development, deployment, maintenance, and monitoring of architecture components, such as databases and large-scale processing systems. The global Big Data market is expected to grow at a CAGR of 31.3 percent by 2025, so this is the perfect time to pursue a career in this field. The valuable skills you’ll acquire with this Big Data Engineer course will help you secure employment with companies as diverse as IBM, Coca-Cola, Ford Motors, Amazon, HCL, and Uber. Big Data Engineers are employable across a variety of industries such as transportation, healthcare, telecommunications, finance, manufacturing, and many more. According to Glassdoor, the average annual salary for a Big Data Engineer is $137,776, with more than 130K jobs in this field worldwide.





WILL I GET CERTIFIED?

Upon successful completion of this Big Data Engineer.

  • EARN YOUR CERTIFICATE

  • SHARE YOUR ACHIEVEMENT

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Enrolling Now

SELF-PACED LEARNING

₹ 49,999

₹ 64,999

PROGRAM BENEFITS

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Lifetime access to high-quality self-paced elearning content curated by industry experts

10 real-world projects guided by industry experts

48% annual growth in job openings

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24x7 learner assistance and support

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68+ hours of online learning content

Career Impact

Over 500 Careers Transformed

1/7
52%

Average Salary Hike

500+

Jobs Sourced

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22LPA

Highest Salary

300+

Hiring Partners

Frequently asked questions

How do I become a Big Data Engineer?


These Big Data courses developed in collaboration with IBM will give you insights into the Hadoop ecosystem, Big Data engineering tools, and methodologies to prepare you for success in your role as a Big Data Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The program will train you on Big Data and Hadoop, Hadoop clusters, MongoDB, PySpark, Kafka architecture, SparkSQL, and much more to become an expert in Big Data Engineering.




What does a Big Data Enginner do?


A Big Data Engineer prepares data for analytical or operational uses. Their primary roles include building data pipelines to collect information from various sources, integrating, combining, cleaning, and using data for individual analytics applications. Their role evolves from collecting and storing data to transforming, labeling, and optimizing data. Big Data Engineers often work with data scientists who run queries and algorithms against the collected information for predictive analysis. They also work with business units to deliver data aggregations to executives. Big Data Engineers commonly work with both structured and unstructured data sets, for which they must be well-versed in different data architectures, applications, and programming languages such as Spark, Python, and SQL.




What is covered under the 24/7 Support promise?


We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Big Data Engineer course with us.




Can I cancel my enrollment? Will I get a refund?


Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.




Do I need to leave my job for this program?


No, the program is designed in such a way that, you can continue with your job along with this program. It will be a mix of pre-recorded videos, live classes as well as printed study material. Every topic would be project-based and will be taught as per the live market scenario. The course module will be covered under the guidance of Industry Experts.




Will Bygrad help me with project completion?


There are two types of projects:

a. Practice projects: Your mentor will first do 3-4 projects for you and then you will do the next 5-6 projects wherein you will get help from your mentor and on tickets.

b. Evaluation projects: Once you’re done with the practice projects, you get access to the evaluation projects.




What if I miss a live online class?


In case you miss a class, you need not to worry. All the live classes’ recordings will be available on your LMS. You can watch and practice the concepts at your own time.




What will be the training mode?


There are two training modes:

a. Self-paced: You will get access to Bygrad and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. Mentor support will be provided.

b. Blended: You will get access to Bygrad and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. In addition to these courses, live online classes are conducted on Saturdays and Sundays for you. Mentor support will be provided.




What is Big Data Engineering?


Big data engineering is an important aspect of data science that involves building, maintaining, testing, and assessing big data solutions. It emphasizes the development of systems that allow for better flow and access to the data. It also incorporates the collection of data of disparate sources, cleaning, and processing data to make it ready for analysis.