About Big Data Engineer Course

  • About the Big Data Engineer certification course developed in collaboration with IBM

    About our program that focuses big data engineer training in Kansas City, created with IBM

    IBM is one of the world’s leading technology brands and one of the most well-known in the industry. IBM has got numerous recognition worldwide for its contributions to technology - including Turing Awards (6), Nobel Prizes (5), inductions in the U.S. Inventors Hall of Fame (10), five U.S. National Medals of Science, and nine U.S. National Medals of Technology

    They invest $6 billion into research and development annually, focusing on developing and growing technology. They are also the second-largest predictive analytics and machine learning provider worldwide.

    Simplilearn and IBM have joined together to closely develop our latest big data engineer training in Kansas City. This course is helpful to move carers ahead for professionals with a keen interest in data engineering, Big data, etc.

    What can I expect from this big data engineer training in Kansas City that was created with IBM?

    Upon completely learning via this big data engineer training in Kansas City, program enrollers can expect to get 2 valuable certificates - from Simplilearn and IBM respectively. These credentials help our students stand out in a large pool of job applications. You will also receive the following: 

    • IBM cloud credits that are ideal for hands-on practice, a $1,200 value
    • A Big Data Engineer Master's Certificate from Simplilearn
    • Access to IBM Watson and various cloud platforms and programs that improve the learning experience

  • What projects does our big data engineer training in Kansas City assign to students?

    There are more than a dozen projects assigned to students in our big data engineer training in Kansas City. These projects present scenarios to students that closely resemble the everyday tasks that big data engineers handle. They teach clusters, scalability, and other principles. Examples include: 

    Project 1: Use big data clusters the way other companies do  
    Project Title: Scalability-Deploying Multiple Clusters
    Description: You are to create on a new system, a new cluster; however, you find that it takes longer to create the clusters on the new system, and should instead be created on the existing system in the meantime. You have also been tasked with testing the new cluster applications to ensure their effectiveness for this project in the big data engineer training in Kansas City.

    Project 2: Leverage big data clusters the same way large corporations do
    Project Title: Working with Clusters
    Description: Show your understanding of the following:

    • Enabling read access to a Cloudera cluster once a user is added 
    • Altering block size and replication of a cluster
    • Eliminating Hue service from clusters that include other services, YARN, HBase, Hive, and HDFS set up
    • Logging in with a Hue account after adding Hue as a service and downloading examples for Hive, Pig, job designer, and others
    • Disabling and enabling HA for namenode and resource manager in CDH

    Project 3: Show how financial institutions, such as banks, stand out amongst their competition with big data analysis and insights
    Domain: Banking
    Description: A Portuguese bank has been working on a marketing campaign that advertises the benefits of investing in a bank term deposit. The campaign included calling potential customers on the phone, with some individuals being contacted numerous times. You are tasked with interpreting the information collected from these phone calls. 

    Project 4: Understand how telecom giants, such as AT&T, use big data to make decisions 
    Domain: Telecommunication
    Description: Post a mobile provider launching an Open Network Campaign, it looked to allow customers to raise issues (if needed) related to the service - like lack of signal or interrupted service. Customers who did experience difficulties with local towers submitted the requested complaints, and this information was collected accordingly.
    The fourth and the fifth field of this data include the latitude and longitude of users, which is essential data for the cell phone provider to have. You must determine the latitude and longitude information on the basis of the available information and establish three clusters of users with a k-means algorithm.

    Project 5: Understand how some of the most popular streaming services, like Netflix, leverage big data
    Domain: The movie industry 
    Description: A college in the United States has acquired information from numerous movie reviews for a research project. You will execute various tasks with that data through Spark to collect important insights.

    Project 6: Learn how online learning programs, such as Simplilearn, use NoSQL and big data 
    Domain: E-learning industry
    Description: In this project, students are tasked with creating a web application with MongoDB for a top online school. It would be expected to cater to scalability for read/write and students should be able to gain hands-on experience with skils including Java, HTML, and Servlet. Users should also be able to access, delete, remove, and add course information with MongoDB as the backend database.

  • What types of careers do individuals pursue after completing Simplilearn’s big data engineer training in Kansas City?

    After receiving your big data engineer training in Kansas City, which was designed in collaboration with IBM, you may qualify for any of the following opportunities:

    • Product Engineer
    • Data Architect
    • Big Data/Hadoop Developer
    • Technical Program Manager
    • Data Engineer/Big Data Engineer
    • Big Data Lead

  • What is taught in our big data engineer training in Kansas City?

    Students enrolled in our big data engineer training in Kansas City learn all about big data frameworks and other technologies. Businesses worldwide are depending on big data to seek trends in past data and make decisions for the future - making it a hyper-growth career path. In fact, it is predicted that the industry is expected to grow tremendously by the year 2025.

    In this program, students learn about different techniques and software required to work as big data engineers. This course will impart work-ready knowledge in the areas of ingestion performance, database management system use, data modelling/replication and more of the most vital skils. Students learn all about Spark ML, Impala, Scala, MongoDB, Pig, Flume, Advanced Architecture, Data Model Creation, Hive, and others.

  • What skills do students learn from our big data engineer training in Kansas City?

    After starting our big data engineer training in Kansas City, you’ll learn the fundamentals of the Hadoop ecosystem, a key concept of big data engineering. You’ll also learn MapReduce, Pig, Sqoop, Impala, HBase, and others. When students complete our big data engineer training in Kansas City, they can:

    • Leverage big data insights to effectively create business plans, in addition to understanding how big data is processed on systems that oversee its velocity, volume, variety, and veracity
    • Process big data with Amazon EMR and Hadoop ecosystem tools 
    • Comprehend big data processing in real-time using Amazon Kinesis 
    • Recognize AWS terms, techniques, benefits, and implementation needed to effectively meet organization needs
    • Comprehend NoSQL and MongoDB, including mastering data modeling, query, ingestion, sharding, and data replication
    • Understand the basics of the Scala language, plus its development tools and process
    • Know how Kafka can be leveraged for possible real-world situations, plus its features and architecture, plus how to connect Kafka to Spark using Kafka Connect
    • Use Kinesis Streams for big data analysis and transformation
    • Effectively use different features of the Hadoop ecosystem, such as Flume, Oozie, Yarn, Impala, and MapReduce
    • Use Amazon QuickSight for data visualization and query performance 

  • What are the benefits of pursuing a career in big data engineering?

    Big data engineers work on the development and maintenance of analytics infrastructures. This includes the inception and monitoring of architecture components and databases. With the focus on big data seen to be growing to unprecedented levels by 2025, big data engineering career today is most certainly a smart move, esp if you seek fast growth and exponential opportunities. Big data engineers work all around the world in different industries, and from small businesses to large corporations. 

    If you are searching for a career path that offers phenomenal pays, significantly higher than the average (national), a big data engineering career would be it for you. Glassdoor reports that on average, big data engineers earn $137,776 yearly.

    If you’re ready to fast-track your new career in big data engineering, get started by applying for our big data engineer training in Kansas City.

  • Who is eligible to sign up for Simplilearn’s big data engineer training in Kansas City?

    Our big data engineer training in Kansas City is an optimal choice if you’re aspiring to work as a big data engineer. Although there aren’t any prerequisites to enroll, any previous knowledge in the following can be advantageous:  

    • Data structures and algorithms
    • SQL
    • Data pipelines
    • Programming knowledge in Python and Java
    • Distributed systems and cloud platforms

Tools Covered

flumeimpalakafkaspark.apache hbasemongodbsparksqlhivesqoophdfshadoopjavapythonscala

Big Data Engineer 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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Big Data Engineer Certification 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

    Simplilearn's Big Data Hadoop certification training lets you master the concepts of the Hadoop framework, Big Data tools, and methodologies to prepare you for success in your role as a Big Data Developer. In this Big Data Hadoop course, you will learn how various components of the Hadoop ecosystem fit into the Big Data processing lifecycle.

    Read More
  • Course 3

    PySpark Training Course

    Get ready to add some Spark to your Python code with this PySpark certification training. This course gives you an overview of the Spark stack and lets you know how to leverage the functionality of Python as you deploy it in the Spark ecosystem. It helps you gain the skills required to become a PySpark developer.

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  • Course 4

    Apache Kafka

    Learn to process huge amounts of data using different tools and empower your organization to better leverage Big Data analytics with the Apache Kafka certification course.

    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 certification course equips you with the skills required to become a MongoDB Developer.

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  • Course 6Online Classroom Flexi Pass

    AWS Big Data Certification Training

    The AWS Big Data certification training prepares you for all aspects of hosting big data and performing distributed processing on the AWS platform and has been aligned to the AWS Certified Data Analytics – Specialty exam. This AWS Big Data course is developed by industry leaders and aligned with the latest best practices.

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  • Course 7Online Classroom Flexi Pass

    Big Data Capstone

    Simplilearn’s Big Data Capstone project will give you an opportunity to implement the skills you learned in the Big Data Engineer certification training. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.

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  • Master's Program Certificate

  • Electives

    AWS Technical Essentials

  • Electives

    Java Certification Training

  • Electives

    Industry Master Class – Data Engineering

Get Ahead with Simplilearn's Master Certificate

Get Ahead with Simplilearn's Master Certificate

Earn your certificate

Our Big Data Engineer 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 Data Engineering skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

Talk about Big Data Engineer certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Big Data Engineer Certificatein Kansas City

Big Data Engineer Course Reviews

  • Bob Hays

    Bob Hays

    Founder at Selwyn Web Design, Little Rock

    I love these guys! I've taken two courses from them already and I have now enrolled in this program. Their customer service, Learning Management System (LMS), course content, and cloud labs are the best in the e-learning market. I highly recommend Simplilearn!

  • Satish Hiremath

    Satish Hiremath

    Senior Consultant at Capgemini, Bangalore

    Simplilearn's course has helped me advance from Senior Software Engineer to Senior Java Hadoop Developer with a 30% hike in salary.

  • Md Azhar Hussain

    Md Azhar Hussain

    Bangalore

    This platform has enhanced my knowledge of big data engineering and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor's in-depth knowledge and, the help and support provided by Simplilearn. After the certification, I was able to grab a role change.

  • Karthikeyan M

    Karthikeyan M

    Lead Consultant at Anantara Solutions, Bangalore

    Simplilearn is one of the best platforms to learn and upscale your career. This certification helped me to grow my career from Lead Consultant to Practice Lead in my present organization. Thanks to Simplilearn for the making my learning experience knowledgeable.

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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Big Data Engineer Training FAQs

  • 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.

  • 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?

    These Big Data Engineering courses developed in collaboration with IBM will give you insights into the Hadoop ecosystem, 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 Big Data Engineering course 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 can I expect from the Big Data Engineer course?

    As a part of this Big Data Engineer course, developed in collaboration with IBM you will receive the following:

    • Lifetime access to e-learning content for all of the Big Data courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM(for IBM courses) and Simplilearn upon successful completion of the program
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

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

    You will get an IBM certificate for the first course present in the Big Data Engineer learning path.

  • How do I earn the Big Data Engineer Master's certificate?

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

    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
    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 Kafka Required 85% of online self-paced completion
    Big Data on AWS Required Attendance of one Live Virtual Classroom AND successful evaluation in at least one project

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

    You can enroll in this Big Data Engineering certification course 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.

  • What are the top job titles in the field of Big Data?

    The top five job titles in the field of Big Data are:

    • Data Engineer/Big Data Engineer
    • Data Analyst
    • Data Architect
    • Database Developer
    • Data Security Administrator

  • Which are the top industries suitable for Big Data professionals?

    The top industries that are suitable for Big Data professionals who has completed Big Data Engineering training are:

    • Medicine and healthcare
    • Banking
    • Information technology
    • Education
    • Retail
    • Ecommerce

  • What are the top companies hiring Big Data professionals?

    The top five companies hiring Big Data professionals with Big Data Engineering course are:

    • IBM
    • Microsoft
    • Facebook
    • Oracle
    • Amazon

  • 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 Big Data Engineering course. 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 Big Data Engineering course trainers are Big Data 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 Big Data Engineer 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 Big Data Engineering course with us.

  • Do you offer any university partnered program in Big Data?

    Yes, Simplilearn provides a PG program in the Big Data domain in partnership with Purdue University. The Post Graduate Program in Data Engineering provides a high-engagement learning experience with real-world applications to help you master crucial Data Engineering skills.

  • What kinds of career opportunities can I pursue with big data engineering skills?

    Big data engineering skills are in high demand these days. You can become eligible for job roles like: big data engineer, data warehouse manager, database administrator, business intelligence analyst, and data architect. You can take the first step by enrolling in our big data engineering course.

  • What degree do you need to be a Big Data Engineer?

    There is no dedicated college degree for big data. Professionals pursuing a career as a Big Data Engineer usually have a bachelor’s degree in computer science, physics, statistics, applied math, or any other related field — and there are many!. Even if you don’t have such an educational background, our Big Data Engineer course will help you kickstart your career in big data engineering.

  • What is the average salary for a Big Data Engineer?

    Big data engineers earn an average salary of over Rs. 830K per year in India and $116K in the U.S. By adding relevant experience and gaining industry-recognized certifications, like Simplilearn’s big data certification, there is no reason why you can’t earn even higher.

  • Is a Big Data Engineering course hard to learn?

    The difficulty level of a Big Data Engineering course depends entirely on the learner’s prior knowledge and dedication towards learning the concepts. That said, our highly qualified trainers explain everything in an easily understandable manner and are aware of various learner’s needs.

  • What are the prerequisites to pursue this Big Data Engineer course?

    There are no prerequisites associated with this Big Data Engineering course. However, it is beneficial to have prior knowledge of SQL, programming basics, data pipelines, algorithms, and data structures when taking a Big Data Engineering training course.

  • Does Big Data Engineering require coding?

    Though not required, it is recommended that you have basic programming knowledge when embarking on a career in Big Data Engineering.

  • Which language is best for Big Data Engineering?

    Java, Python, R, SQL, and Scala are the most commonly used languages in the field of Big Data Engineering.

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