About the Program

  • 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 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 with this online training in Big Data courses 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 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

Tools Covered

flumeimpalakafkaspark.Watsonapache hbasecassandramongodbsparksqlhivesqoophdfshadoopjavapythonscala

Program 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

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Big Data Engineer Training in Tampa

Reviews

  • Md Azhar Hussain

    Md Azhar Hussain

    Bangalore

    This platform has enhanced my knowledge of big data 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.

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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

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?

    These Big Data courses developed in collaboration 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 Big Data Engineer online certification training, 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* 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

  • *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

  • 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 training?

    You can enroll in this Big Data Engineer 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 Big Data 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.