About Big Data Engineer Course

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

    About our program that encompasses big data engineer training in Pittsburgh, designed in collaboration with IBM

    IBM is one of the leading technology brands worldwide and a pioneer in the industry. IBM invests $6 billion each year to ensure enough research and development goes into this quickly evolving technology. IBM is the 2nd largest ML and predictive analytics solutions provider, Simplilearn is delighted to communicate our collaboration with IBM to offer world-class big data engineer training in Pittsburgh with a leading industry expert.

    IBM has worked closely with Simplilearn in the development of this program to provide students with only the best big data engineer training in Pittsburgh. Upon completion, students will be prepared to pursue roles in data engineering, big data, and other technology sectors. 

    From a long time, IBM has with it a phenomenal list of awards, like Nobel Prizes (5), U.S. National Medals of Technology (10), Turing Awards (6), U.S. National Medals of Science (5), inductions in the U.S. Inventors Hall of Fame (10).

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

    Certificates that students will get will be from both Simplilearn and IBM in those programs within the learning path post completion of the big data engineer training in Pittsburgh. These credentials show potential employers that you have mastered data engineering. In addition to certification, students also receive:

    • IBM cloud credits that you can use for hands-on practice, which are valued at $1,200
    • Access to IBM cloud platforms, such as IBM Watson, plus other programs that give you the opportunity to practice what you’ve learned
    • An exclusive Big Data Engineer Master's Certificate from Simplilearn

  • What will students learn from Simplilearn’s big data engineer training in Pittsburgh?

    Our big data engineer training in Pittsburgh provides students with comprehensive knowledge of big data frameworks and other technologies. Students learn how to replicate and model data, use database management systems, perform ingestion, and much more. Students also learn all about the different tools and programs that are needed to succeed in their roles as big data engineers. The list of software you get to work on as part of big data engineer training in Pittsburgh include Spark ML, MongoDB, Advanced Architecture, Scala, Pig, Flume, Data Model Creation, Impala, Hive, etc.

    Big data is used in just about every industry throughout the world. From healthcare to transportation/logistics, insurance and customer support, businesses worldwide utilize big data for operational analytics to make data-driven decisions. This industry is only expected to continue to grow, especially by the year 2025, making it an evolving and exciting industry to be a part of.

  • What skills will you acquire if you take big data engineer training in Pittsburgh?

    Our big data engineer training in Pittsburgh, will help you gain skills relating to the ecosystem of Hadoop - which is vital for growth in big data engineering. This includes learning components like Pig, MapReduce, Impala, Sqoop, HBase, and more. At the end of your big data engineer training in Pittsburgh, you’ll be ready to:

    • Put plans into action that will improve business productivity based on big data insights, as well as understand how to process big data on platforms that can handle its velocity, volume, variety, and veracity
    • Use Amazon EMR for processing big data using Hadoop ecosystem tools
    • Use Amazon Kinesis for real-time big data processing 
    • Use Kinesis Streams for big data analysis and transformation
    • Successfully understand how to operate Oozie, Flume, Impala, Yarn, MapReduce, and other essential components of the Hadoop ecosystem
    • Gain a complete comprehension of the basics of the Scala language, including its development process and tools
    • Recognize AWS terminologies, principles, advantages, and deployment needed to effectively meet business requirements
    • Master MongoDB through comprehensive knowledge of NoSQL, including becoming an expert in data modeling, sharding, query, ingestion, and data replication
    • Understand how Kafka can be used for real-world scenarios, in addition to its architecture and features, as well as how to use Kafta Connect and connect Kafka to Spark
    • Use Amazon QuickSight to visualize data and perform queries

  • What projects do students work on when they receive big data engineer training in Pittsburgh?

    Students will work on more than a dozen projects during their big data engineer training in Pittsburgh. These projects are similar to real situations that big data engineers face every day on the job. They will help you learn more about scalability, clusters, configuration, and other core concepts of data engineering. Some of the projects you’ll work on include:

    Project 1: Gain hands-on experience in setting up big data clusters the same way large organizations do 
    Project Title: Scalability-Deploying Multiple Clusters
    Description: The organization you work for wants to create a new cluster and has recently purchased new hardware. Setting up clusters on new systems, however, can be time-consuming. While these new machines are being set up, the organization would like you to create a new cluster on the existing computers. Additionally, they would like you to begin testing that the new cluster applications are working effectively.

    Project 2: Leverage big data clusters the same way large platforms, such as Amazon and Facebook, do
    Project Title: Working with Clusters
    Description: Demonstrate your knowledge of the following:

    • Removing Hue service from clusters, which have other services, HBase, Hive, YARN, and HDFS set up
    • Disabling and enabling HA for resource manager and namenode in CDH
    • Logging in as a Hue user, adding Hue as a service, and downloading examples for Pig, job designer, Hive, etc.
    • Granting read access to a Cloudera cluster after the addition of a user 
    • Altering replication and block size of a cluster

    Project 3: Understand how big data is used amongst large banks and financial institutions to stay ahead of competitors
    Domain: Banking
    Description: A Portuguese bank executed a marketing campaign to persuade consumers to invest in a bank term deposit. Their marketing initiative included outreach through phone calls, and some individuals were contacted multiple times. You are tasked to analyze the data that is collected from these phone calls in this project for big data engineer training in Pittsburgh.

    Project 4: This real-world project that focuses on telecommunication helps students understand how telecom giants, such as Vodafone and AT&T, utilize big data  
    Domain: Telecommunication
    Description: A new open network campaign put out by a provider of mobile services. The organization has collected information from customers who did experience these difficulties. The fourth and the fifth field of the data contain the latitude and longitude of customers, which is crucial for the mobile provider to know. You must locate this latitude and longitude data on the basis of the available data and develop three clusters of customers with a k-means algorithm.

    Project 5: Learn how Amazon Prime, Netflix, and other major streaming services use big data
    Domain: The movie industry 
    Description: A university based in the United States has collected information that represents movie reviews from numerous individuals as a part of a research project. With the project provided within the big data engineer training in Pittsburgh, various tasks will have to be perfomed using Spark and the data available to get actionable insights

    Project 6: Learn how some of the top online learning programs, such as Simplilearn, use big data and NoSQL  
    Domain: E-learning industry
    Description: Create a web application for a leading online learning program using MongoDB to support write and read scalability. HTML, Java, and Servlet are some of the many web technologies that can be used when designing this web application. Users should also be able to access, add, delete, and edit course information with MongoDB as the backend database.

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

    Our big data engineer training in Pittsburgh is perfect for individuals who want to work in the exciting field of data engineering. There are no prerequisites to enroll in our training program, but experience or knowledge in any of the following can be helpful:

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

  • What career opportunities are available to those who successfully complete Simplilearn’s big data engineer training in Pittsburgh?

    After completing your big data engineer training in Pittsburgh, which was created in collaboration with IBM, you may qualify for any of the following roles:

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

  • Why should you pursue a career in big data engineering?

    With our big data engineering training in Pittsburgh, professionals develop (and maintain) analytics infrastructure and handle systems via the workflow of creation, deployment, maintenance, and monitoring of databases and architecture. If you’re looking for a career that provides job stability and security, big data engineering can offer that, with the market expected to grow substantially by the year 2025. 

    Big data engineers work for all different companies across various industries, such as Amazon, Ford Motors, IBM, Uber, Coca-Cola, and thousands of others. Companies today are heavily reliant on data today, and consequently there is no limit for getting a big data role, offering tremendous boost to the career. Glassdoor reports that big data engineers earn an average of $137,776 each year, making it a lucrative choice as well.

    If you’re ready to get started in your career in big data engineering, the first step is receiving big data engineer training in Pittsburgh

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

    This Big Data Engineer certification training includes more than 12 real-life, industry-based projects on different domains to help you master concepts of Big 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. 

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 Data Engineering 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.

    Read More
  • 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.

    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.

    Read More
  • 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.

    Read More
  • Course 5Online Classroom Flexi Pass

    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

    Read More
  • Course 6Online Classroom Flexi Pass

    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 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.

    Read More
  • 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 Engineering courses 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 Pittsburgh

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 the Salary of a Big Data Engineer in Pittsburgh?

    Annually, a Big Data Engineer in Pittsburgh earns roughly around $89,000. To help build your skills in this sought-after profession, attending Big data training in Pittsburgh is well advised for those who aspire to become Big data engineers. Both freshers and experienced professionals can take up this course to evolve in their careers.

  • Which are the Major Companies hiring Big Data Engineers in Pittsburgh?

    Some companies hiring Big Data Engineer roles in Pittsburgh include Zoom, Booz Allen Hamilton, Highmark Health, HM Health Solutions, Google, HRT Solutions, and others. A Big data training in Pittsburgh alongside a mini-project will aid in bagging a well-paid job in the mentioned big companies.

  • What are the major industries in Pittsburgh?

    Pittsburgh is a city with a diverse industrial presence, making it a favorable destination for many to start their professional career. Manufacturing, energy, healthcare, and information technology are primary contributors to the economy and employment of Pittsburgh. Pittsburgh contributes handsomely to the overall GDP of the State of Pennsylvania. With such an industrial presence, Big data training in Pittsburgh can help you land a perfect job.

  • How to Become a Big Data Engineer in Pittsburgh?

    A bachelor’s degree can help you appear for interviews but cannot help you in achieving success. Here are a few proven methods you can follow to become a Big Data Engineer in Pittsburgh:

    Start with an Internship.

    • Earn Big data training in Pittsburgh with a successful side project.
    • Stay updated with the latest trends in Big Data.
    • Stay updated with the industry trends.
       

  • How to find Big Data Engineer Master’s programs in Pittsburgh?

    Everything you are searching for is available online, including Big data training certification in Pittsburgh. You can go to education websites like Simplilearn to get the best Big data training right from Pittsburgh. However, in whatever courses you choose to study, make sure it makes you implement what you have learned. It can help you stand out from the crowd.

  • 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 Data Engineering courses will train you on Big Data, 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 Engineering 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 Big Data engineering 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 for Big Data Engineering 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 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 Engineering 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. 

  • 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 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 kind 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 Engineer 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?

    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 Engineering 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.

Big Data Engineer Training in Pittsburgh

Pittsburgh holds an estimated population of 3.02 lakhs. The Pittsburgh metropolitan area is the 27th largest city in the US. The GDP growth of Pittsburgh accounted for a humongous $145.5bn for the year 2018-19. Pittsburgh’s contribution to the country proves to give a good boost from its GDP standpoint. Pittsburgh has a GDP per capita of about $56,237, according to the latest estimates. 

Pittsburgh has a Geographical spread of 58.3 sq. miles. Pittsburgh has around 90 neighbourhoods in its surroundings and experiences a humid continental climate. Pittsburgh is also known as the City of Bridges. It has more than 300 businesses related to steel and also has around 446 bridges of its own.

Pittsburgh, as a tourist spot, can give you different flavours. It has a list of must-visit places ranging from aspects of Entertainment & cultural values. As the locality has a rich cultural heritage, you can find some of the famous chill spots.

Here’s a list of places you should never miss visiting in Pittsburgh:

  1. Pittsburgh Zoo & PPG Aquarium
  2. The Andy Warhol Museum
  3. Carnegie Museum of Art
  4. Phipps Conservatory and Botanical Gardens

Find Big Data Programs in Pittsburgh

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