About the Program

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

    About our program that focuses big data engineer training in Orlando, 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 many laurels to its name - from five Nobel prizes to 10 inductions in the U.S. Inventors Hall of Fame, six Turing Awards 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 Orlando. This program is ideally suited as the kickstart needed for the next career move for professionals with a keen interest in data engineering, Big data, etc.

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

    When this big data engineer training in Orlando is completed, learners will 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 Orlando assign to students?

    There are more than a dozen projects assigned to students in our big data engineer training in Orlando. 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 asked to created a new cluster on a system not used for this before, but find that it is time-consuming 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 Orlando.

    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: On launching an Open Network campaign, a mobile provider wished that customers could submit issues (if they existed) 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 is expected to offer read/write scalability and offer the learners with a chance 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 Orlando?

    After receiving your big data engineer training in Orlando, 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 Orlando?

    Students enrolled in our big data engineer training in Orlando learn all about big data frameworks and other technologies. Organizations all over the world are focusing on using big data to uncover insights and take 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 program lets you master database management system use, ingestion performance, 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 Orlando?

    After starting our big data engineer training in Orlando, 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 Orlando, 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. Dependency on big data will grow to phenomenal levels by 2025, making a career in the field is 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 aiming for a career offering high compensation numbers, much more 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 Orlando.

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

    Our big data engineer training in Orlando 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 Certification Learning Path

  • Course 1

    Big Data for Data Engineering

    This 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 extracting valuable information from them.

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  • Course 2

    Big Data Hadoop and Spark Developer

    Simplilearn’s Big Data Hadoop course lets you master the concepts of the Hadoop framework, Big data tools, and methodologies. Achieving a Big Data Hadoop certification prepares you for success as a Big Data Developer. This Big Data and Hadoop training help you understand how the various components of the Hadoop ecosystem fit into the Big Data processing lifecycle. Take this Big Data and Hadoop online training to explore Spark applications, parallel processing, and functional programming.

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  • 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

    Simplilearn’s Kafka certification lets you explore how to process huge amounts of data using various tools. You will understand how to better leverage Big data analytics with this Kafka training. Take advantage of our blended learning approach for this Kafka course and learn the basic concepts of Apache Kafka. Get ready to go through the cutting-edge curriculum of this Apache Kafka certification designed by industry experts and develop the job-ready skills of a Kafka developer.

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  • Course 5

    MongoDB Developer and Administrator

    Simplilearn’s MongoDB certification equips you with the relevant skills required to become a MongoDB Developer. The highly-qualified instructors for this MongoDB course help you understand why more businesses are using MongoDB development services to handle their increasing data storage and handling demands. Our MongoDB training is equipped with industry projects, lab exercises and various demos to explain key concepts. Enroll in our MongoDB online course and learn this popular NoSQL database

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  • Course 6

    AWS Data Analytics Certification Training

    Simplilearn’s AWS Data Analytics certification training prepares you for all aspects of hosting big data and performing distributed processing on the AWS platform. Our AWS data analytics course is aligned with the AWS Certified Data Analytics Specialty exam and helps you pass it in a single try. Developed by industry leaders, this AWS certified data analytics training explores some interesting topics like AWS QuickSight, AWS lambda and Glue, S3 and DynamoDB, Redshift, Hive on EMR, among others

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  • Course 7

    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 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 Cloud 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 Master's 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.

Share your achievement

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

Big Data Engineer Certificatein Orlando

Why Join this Program

  • 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 the salary of a Big Data professional in Orlando?

    According to most calculations, a person with a background in Big Data Training Orlando working in the field of Big Data in the city of Orlando earns an annual salary of $111,950.

  • What are the major companies hiring for Big Data in Orlando?

    Wes Builders Incorporated, Fines Associates LLC, Thales DIS USA, TechGen Consulting, and others are among the top companies with the largest number of Big Data corporation employees with backgrounds in Big Data Training Orlando.

  • What are the major industries in Orlando?

    Aerospace, defence, aviation, pharmaceuticals, advanced manufacturing, autonomous vehicles etc., are the most important industries constituting Orlando’s economy. To help with Big Data-based operations, most of these sectors hire people with Big Data Training Orlando experience.

  • How to become a Big Data professional in Orlando?

    Big Data Training Orlando offers a variety of courses designed to benefit both amateur novices as well as experienced specialists who want to pursue a career in Big Data.

  • How to find Big Data courses in Orlando?

    You can choose from a range of curricula when it comes to Big Data courses in Orlando. To register for a Big Data Training Orlando, simply type the course information into your computer browser.

  • 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?

    This Big Data Engineer course 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. This course will train you on Big Data, Hadoop clusters, MongoDB, PySpark, Kafka architecture, SparkSQL, and much more to become an expert as Big Data Engineer.

  • 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 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 course

    • 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 course curriculum.

  • 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 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.

  • 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 courses. 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 Request a callback. 

  • Who are the instructors and how are they selected?

    All of our highly qualified 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 the completion of your 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 Data Engineering Certification Course provides a high-engagement learning experience with real-world applications to help you master crucial skills.

  • 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 Engineer course, there is no reason why you can’t earn even higher.

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

    Learners need to possess an undergraduate degree or a high school diploma in any discipline, as may be prevalent and accepted in their respective country of residence and/or work to avail this course. it is also beneficial to have prior knowledge of SQL, programming basics, data pipelines, algorithms, and data structures when taking a Big Data Engineer course.

Big Data Engineer Training in Orlando

Orlando is located in the Southern United States and is a city with a total population of 290,520. Orlando is located in central Florida and is the largest inland city in the state. Orlando is also home to the third-largest metropolitan area in Florida, after Miami and Tampa. A 2017 study found that the Orlando-Kissimmee-Sanford area’s GDP was approximately $ 131,584.014. The study also concluded that Orlando’s GDP had been receding at a rate of 0.16 per cent at the time. Even as the city’s economy falls, people with Big Data Training Orlando certification can gain a high level of visibility among top companies in Orlando. 

Orlando is considered to be one of the most culturally diverse cities in all of the United States. Every year, millions of visitors from all over the world flock to Orlando to marvel at the aesthetic beauty of this prominent holiday destination. Many students also come to Florida from other parts of the United States to take part in Big Data Training Orlando and advance their careers.

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