About Big Data Engineer Course

  • About the Big Data Engineer certification 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 Big Data Engineer certification training in Tampa developed 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's Big Data Engineer Master's program developed in collaboration with IBM?

    Upon completion of this Big Data Engineer Master's Program in Tampa, you will receive the certificates from IBM and Simplilearn in the Big Data 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 Big Data Engineer 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, logistics, and customer service. A role in this Data Engineering 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 certification training in Tampa are 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 Big Data Engineer 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 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.

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

    The Big Data Engineer 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 and Spark SQL. By the end of this Big Data Engineer certification training in Tampa, 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, and Flume
    • 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
    • Identify AWS concepts, terminologies, benefits, and deployment options to meet the business requirements
    • Understand how to use Amazon EMR for processing the data using Hadoop ecosystem tools
    • Understand how to use Amazon Kinesis for big data processing in real-time
    • Analyze and transform big data using Kinesis Streams
    • Visualize data and perform queries using Amazon QuickSight

  • What projects are included in this Big Data Engineer certification training in Tampa?

    This Big Data Engineer certification training in Tampa 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 that 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 Big Data Engineer training in Tampa?

    The Big Data Engineer certification training in Tampa 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

  • What are the job opportunities upon completing this Big Data Engineer certification training in Tampa?

    Upon completion of the Big Data Engineer certification training in Tampa in collaboration 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

Contact Us

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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.

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    Course Content
  • Course 2Online Classroom Flexi Pass

    Big Data Hadoop and Spark Developer

    Our Big Data Hadoop certification training course 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. Learn how various components of the Hadoop ecosystem fit into the Big Data processing lifecycle.

    Read More
    Classroom Schedule Weekday class starting 30th Jul
    Course Content
    GO TO COURSE PAGE
  • 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 Content
    GO TO COURSE PAGE
  • 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 Content
    GO TO COURSE PAGE
  • 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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    Classroom Schedule Weekday class starting 10th Sep
    Course Content
    GO TO COURSE PAGE
  • 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 course is developed by industry leaders and aligned with the latest best practices.

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    Classroom Schedule Weekday class starting 13th Aug
    Course Content
    GO TO COURSE PAGE
  • 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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    Classroom Schedule Weekday class starting 6th Oct
    Course Content

  • 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

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 Big Data 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 Training in Tampa

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 the Big Data Master 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 Big Data 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 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 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 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 Engineer 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

  • What is the recommended career path for Big Data aspirants?

    The career path for a Big Data aspirant is:

    • Operating system - You need to learn about the popular operating systems on which big data tools run
    • Programming - Get an in-depth understanding of programming languages to process data easily and efficiently
    • DBMS and SQL - Learn to write SQL queries which are needed to optimally manage data in databases
    • ETL and warehousing tools - Study the ETL tools critical to the aggregation and analysis of unstructured data from different sources
    • Hadoop and Spark frameworks - Process and analyze large volumes of data with a thorough knowledge of Hadoop and Spark
    • Data mining and modelling - Understand how to analyze existing data and discover patterns for creating predictive data models

    Once you are done with the aforementioned steps, you can become a Big Data professional.

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

    The top industries that are suitable for Big Data professionals 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 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 Engineer 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 Engineer 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 Engineer course with us.

  • Does Simplilearn provide practice exams related to this Big Data Engineer course?

    Yes, we offer the following Big Data associated practice tests –

  • 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 engineer course hard to learn?

    The difficulty level of a big data engineer 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 engineer course. However, it is beneficial to have prior knowledge of SQL, programming basics, data pipelines, algorithms, and data structures when taking this course.

  • Does big data require coding?

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

  • Which language is best for big data?

    Java, Python, R, SQL, and Scala are the most commonly used languages in the field of big data.

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Simplilearn's Big Data Engineer Training in Tampa

7320 East Fletcher Avenue Tampa, Florida 33637 United States

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