About the Program

  • About the program developed in collaboration with IBM

    IBM is the second-largest predictive analytics and Machine Learning solutions provider globally (The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Big Data and Data Engineering. The program in collaboration with IBM will make students industry ready to start their careers in Big Data and Data Engineer job roles. IBM is a leading cognitive solution and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.

    What can I expect from this Simplilearn program developed in collaboration with IBM?

    Upon completion of this Master's Program, you will receive the certificates from IBM and Simplilearn in the Big Data Engineer courses in the learning path*. These certificates will testify to your skills as an expert in Data Engineering. You will also receive the following:

    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
    • Industry-recognized Master’s Certificate from Simplilearn

  • What are the learning objectives?

    Big Data has a major impact on businesses worldwide, with applications in a wide range of industries such as healthcare, insurance, transport and logistics, and customer service. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond. This co-developed Simplilearn and IBM Big Data Engineering Master's Program is designed to give you in-depth knowledge of the flexible and versatile frameworks on the Hadoop ecosystem and data engineering tools like Data Model Creation, Database Interfaces, Advanced Architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML, GraphX, Sqoop, Flume, Pig, Hive, Impala, and Kafka Architecture. This integrated program will also teach you to model data, perform ingestion, replicate data, and shard data using a NoSQL database management system MongoDB. The course curriculum will give you hands-on experience connecting Kafka to Spark and working with Kafka Connect.

  • 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 and data engineering services 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 as a big data engineer 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 data engineer is $137,776, with more than 130K jobs in this field worldwide.

  • What skills will you learn in this Big Data Engineer course?

    The learning path ensures that you master the various components of the Hadoop ecosystem, such as MapReduce, Pig, Hive, Impala, HBase, and Sqoop, and learn real-time processing in Spark, Spark SQL, Spark streaming, Spark MLliB, GraphX programming, and shell scripting in Spark. By the end of this Big  Data Engineer Master’s Program, you will: 

    • Gain insights on how to improve business productivity by processing Big Data on platforms that can handle its volume, velocity, variety, and veracity
    • Master the various components of the Hadoop ecosystem, such as Hadoop, Yarn, MapReduce, Pig, Hive, Impala, HBase, ZooKeeper, Oozie, Sqoop, Flume, and Apache Spark 
    • Become an expert in MongoDB by gaining an in-depth knowledge of NoSQL and mastering the skills of data modeling, ingestion, query, sharding, and data replication
    • Learn how Kafka is used in the real world, including its architecture and components, get hands-on experience connecting Kafka to Spark, and work with Kafka Connect
    • Get a solid understanding of the fundamentals of the Scala language, it's tooling and the development process

  • What projects are included in this program?

    This Big Data Engineer Master's program includes more than 12 real-life, industry-based projects on different domains to help you master concepts of Data Engineering, such as Clusters, Scalability, and Configuration. A few of the projects that you will be working on are mentioned below:

    Project 1: See how large MNCs like Microsoft, Nestle, and PepsiCo set up their Big data clusters by gaining hands-on experience.
    Project Title: Scalability-Deploying Multiple Clusters
    Description: Your company wants to set up a new cluster and has procured new machines. However, setting up clusters on new machines will take time. Meanwhile, your company wants you to set up a new cluster on the same set of machines and start testing the new cluster’s working and applications.

    Project 2: Understand how companies like Facebook, Amazon, and Flipkart leverage Big Data Clusters.
    Project Title: Working with Clusters
    Description: Demonstrate your understanding of the following tasks:

    • Enabling and disabling HA for namenode and resource manager in CDH
    • Removing Hue service from your cluster, which has other services such as Hive, HBase, HDFS, and YARN setup
    • Adding a user and granting read access to your Cloudera cluster
    • Changing replication and block size of your cluster
    • Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others

    Project 3: See how banks like Citigroup, Bank of America, ICICI, and HDFC make use of Big Data to stay ahead of the competition. 
    Domain: Banking
    Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.

    Project 4: Learn how Telecom giants like AT&T, Vodafone, and Airtel make use of Big Data by working on a real-life project based on telecommunication.
    Domain: Telecommunication
    Description: A mobile phone service provider has launched a new Open Network campaign. The company has invited users to raise complaints about the towers in their locality if they face issues with their mobile network. The company has collected the dataset of users who raised a complaint. The fourth and the fifth field of the dataset have a latitude and longitude of users, which is important information for the company. You must find this latitude and longitude information on the basis of the available dataset and create three clusters of users with a k-means algorithm.

    Project 5: Understand how entertainment companies like Netflix, Amazon Prime leverage Big Data.
    Domain: Movie Industry 
    Description: US-based university has collected datasets which represent reviews of movies from multiple reviewers as a part of the Research Project. To gain in-depth insights from research data collected you have to perform a series of tasks in Spark on the dataset provided.

    Project 6: Learn how E-Learning companies like Simplilearn, Lynda, and Pluralsight make use of NoSQL and Big Data technology.
    Domain: E-Learning Industry
    Description: Design a web application for a leading E-learning organization using MongoDB to support read and write scalability. You can use web technologies such as HTML, JavaScript (JSP), Servlet, and Java. Using this web application, a user should able to add, retrieve, edit, and delete the course information using MongoDB as the backend database. 

  • What are the prerequisites for this course?

    The course is ideal for anyone who wishes to pursue a career in data engineering. There are no prerequisites to take this course, but prior knowledge of the listed skills and technologies are beneficial, including:

    • Algorithms and data structures
    • SQL
    • Programming knowledge of Python and Java
    • Cloud platforms and distributed systems
    • Data pipelines

    If you are not familiar with these skill sets, don’t worry. You can enroll in the following courses from Simplilearn to get you started with Big Data Engineer Master’s Program:

  • What are my job opportunities upon completing this Simplilearn and IBM Co-developed Big Data Engineer Master’s Program?

    Upon completion of the Big Data Engineer Master’s Program co-developed with IBM, you will have the skills required to help you land your dream job, including:

    • Data Engineer/Big Data engineer
    • Big Data lead
    • Data architect
    • Technical program manager
    • Big Data/Hadoop developer
    • Product engineer
       

Tools Covered

flumeimpalakafkaspark.Watsonapache hbasecassandramongodbsparksqlhivesqoophdfshadoopjavapythonscala

Course Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

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Learning Path

  • Course 1

    Big Data for Data Engineering

    This introductory course from IBM will teach you the basic concepts and terminologies of Big Data and its real-life applications across industries. You will gain insights on how to improve business productivity by processing large volumes of data and extract valuable information from them.

    Read More
  • Course 2Online Classroom Flexi Pass

    Big Data Hadoop and Spark Developer

    Switch career on Big Data Hadoop and Spark with Simplilearn's online training course on Big Data Hadoop. Master Big Data and Hadoop Ecosystem tools, such as HDFS, YARN, MapReduce, Hive, HBase, Spark, Flume, Sqoop, Hadoop Frameworks, Spark SQL and more concepts of Big Data processing life cycle. Work on real-time projects in Human Resource, Stock Exchange, BFSI, Retail & Payments and master concepts of Big Data Hadoop. This course also prepares you for Cloudera’s CCA175 Big Data certification.

    Read More
  • Course 3

    PySpark Training Course

    Get ready to add some Spark to your Python code with this PySpark training! You’ll get an in-depth overview of Apache Spark, the open-source query engine for processing large datasets, and how to integrate it with Python using the PySpark interface. The course will show you how to build and implement data-intensive applications as you dive into the world of high-performance machine learning, leveraging Spark RDD, Spark SQL, Spark MLlib, Spark Streaming, HDFS, Sqoop, Flume, Spark GraphX, and Kafka.

    Read More
  • Course 4Online Classroom Flexi Pass

    Big Data and Hadoop Administrator

    This Big Data and Hadoop Administrator training course with furnish you with the aptitudes and methodologies necessary to excel in the fast-developing Big Data Analytics industry. With this Hadoop Admin training, you’ll learn to work with the adaptable, versatile frameworks based on the Apache Hadoop ecosystem, including Hadoop installation and configuration, cluster management with Sqoop, Flume, Pig, Hive, Impala, Cloudera, and Big Data implementations that have exceptional security, speed, and scale.

    Read More
  • Course 5Online Classroom Flexi Pass

    MongoDB Developer and Administrator

    More businesses are using MongoDB development services—the most popular NoSQL database—to handle their increasing data storage and handling demands. The MongoDB Developer and Administrator certification equip you with the skills required to become a MongoDB experienced professional.

    Read More
  • Course 6

    Apache Cassandra

    This Apache Cassandra Certification Training will develop your expertise in working with the high-volume Cassandra database management system as part of the Big Data Hadoop framework. With this Cassandra training, you will learn Cassandra concepts, features, architecture, and data model, and how to install, configure, and monitor open-source databases. The Cassandra course is ideal for software developers and analytics professionals who wish to further their careers in the Big Data field.

    Read More
  • Course 7Online Classroom Flexi Pass

    Apache Spark and Scala

    Advance your mastery of the Big Data Hadoop Ecosystem with Simplilearn’s Apache Spark and Scala certification training course. This course will help you will attain crucial, in-demand Apache Spark skills and develop a competitive advantage for an exciting career as a Hadoop developer.

    Read More
  • Master's Program Certificate

  • Electives

    Spark for Scala Analytics

  • Electives

    Scala for Data Science

  • Electives

    Simplifying data pipelines with Apache Kafka

  • Electives

    Industry Master Class – Data Engineering

Get Ahead with Simplilearn's Master Certificate

Earn your certificate

Our Masters program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and skills you've gained working on projects, simulations, case studies will set you ahead of competition.

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Big Data Engineer

FAQs

  • What does a Big Data Engineer 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.

  • How do I become a Big Data Engineer?

    This program co-developed with IBM will give you insights into the Hadoop ecosystem, Big Data & 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 data engineering.

  • What can I expect from the Big Data Engineer course?

    As a part of this online training, co-developed with IBM you will receive the following:

    • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
    • An industry-recognized certificate from IBM and Simplilearn upon successful completion of the program
    • $1200 USD worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
    • Access to digital badges from IBM
       

  • How do I earn the Master's Certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Big Data Engineer Master’s Program certificate that will testify to your skills as a Big Data Engineer expert. 
     

    Course Course Completion Certificate Criteria
    Big Data for Data Engineering Required 85% of online self-paced completion
    Big Data Hadoop and Spark Developer Required 85% of online self-paced completion OR attendance of one Live Virtual Classroom, AND score above 75% in course-end assessment AND successful evaluation in at least one project
    Pyspark Training Required 85% of online self-paced completion
    Big Data and Hadoop Administrator Required 85% of online self-paced completion OR attendance of one Live Virtual Classroom, AND score above 75% in course-end assessment AND successful evaluation in at least one project
    MongoDB Developer and Administrator Required 85% of online self-paced completion OR attendance of one Live Virtual Classroom, AND score above 75% in course-end assessment AND successful evaluation in at least one project
    Apache Cassandra Required 85% of online self-paced completion
    Apache Spark and Scala Required 85% of online self-paced completion OR attendance of one Live Virtual Classroom, AND score above 75% in course-end assessment AND successful evaluation in at least one project

     

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • Python for Data Science
    • Big Data for Data Engineering
    • Data Engineering with Hadoop
    • Data Engineering with Scala
    • Spark for Scala Analytics
    • Scala for Data Science
    • Simplifying Data Pipelines with Apache Kafka

  • How do I enroll in the Big Data Engineer Program?

    You can enroll in this training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can 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, please read our Refund Policy

  • I am not able to access the online program. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or contact Help & Support

  • Do you provide a money back guarantee for the training programs?

    Yes. We do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • 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 course with us.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.