Big Data Engineer

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 –

  • Big Data and Hadoop Developer Practice Test
  • Big Data & Hadoop Administrator Exam Practice Test
  • Apache Spark and Scala Exam Questions
  • MongoDB Developer Exam Practice Test
  • Apache Kafka MCQ Quiz

• 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.