About our program that encompasses big data engineer training in Denver, created in collaboration with IBM
IBM is a pioneer in the technology industry, and they continue to be one of the world’s top technology brands. IBM is the second-largest machine learning and predictive analytics provider in the world. Each year, they invest $6 billion into development and research directly related to technology to support its fast growth.
IBM's list of international accomplishments and recognitions include 6 Turing Awards, 5 U.S. National Medals of Science, U.S. National Medals of Technology (9), inductions into the U.S. Inventors Hall of Fame (10), and Nobel Prizes (5).
Together, IBM and Simplilearn have worked closely together in the development of our big data engineer training in Denver. This program is perfect for anyone looking to pursue a career in big data, data engineering, or other technology sectors.
What can I expect from this big data engineer training in Denver that was designed with IBM?
Earn two certificates from Simplilearn and IBM after successfully completing our big data engineer training in Denver. Give the highly competitive nature of the job market, the credential you gather here can leapfrog you ahead of the competition by helping you demonstrate your data engineering expertise better. Students also receive:
Our big data engineer training in Denver offers in-depth instruction on big data frameworks and other relevant technologies. Because big data is offered in numerous industries and organizations worldwide, it is an extremely valuable skill to have. Business of all types and sizes need this kind of data to make accurate decisions; infact, the expectations are that by 2025, the industry growth will be phenomenal.
In this course, students learn about the various programs and techniques needed to thrive as professional big data engineers. Our program also teaches ingestion performance, replicating and modeling data, database management system use, and more. The lessons on software are on Scala, Flume, Pig, MongoDB, Spark ML, Data Model Creation, Advanced Architecture, Impala, Hive, and others.
After enrolling in our big data engineer training in Denver, you’ll gain knowledge on the Hadoop ecosystem, a crucial component of big data engineering. This includes learning tools like MapReduce, Pig, Impala, HBase, Sqoop, and others. Upon completion of the big data engineer training in Denver, you’ll be able to:
The big data engineer training in Denver curriculum includes more than a dozen projects that mirror scenarios that big data engineers often handle. These projects teach clusters, configuration, scalability, and other key principles of data engineering. Examples of projects include:
Project 1: Set up big data clusters the same way big companies do
Project Title: Scalability-Deploying Multiple Clusters
Description: You’ve been tasked with creating a new cluster on a newly purchased system. Since setting up new systems will take a lot of time, there will be a need to build the new cluster on the current systems that exist. Your organization also wants you to start testing that the new cluster applications are adequately working.
Project 2: Use big data clusters the same way large organizations do
Project Title: Working with Clusters
Description: In this project for big data engineer training in Denver, you will demonstrate your comprehension of the following:
Project 3: Demonstrate how financial institutions and banks use big data when analyzing their competitors
Description: A Portuguese bank created a marketing campaign to target consumers wanting to invest in a bank term deposit. The campaign comprised prospecting via phone calls, with some getting multiple calls and task in front of you is gathering and analytics of the data that flows in.
Project 4: Utilize big data and focus on telecommunications to understand how telecom giants, such as AT&T, leverage data for various purposes
Description: A mobile provider has a newly launched Open Network campaign, and customers were encouraged to submit complaints regarding local towers if they have service interruption or signal problems. Customers who did experience these difficulties submitted relevant information and this data was collected accordingly. The fourth and the fifth field of this information include the latitude and longitude of customers, which is important information for the mobile provider to have. You are tasked with identifying the latitude and longitude information on the basis of the available data and develop three clusters of users with a k-means algorithm.
Project 5: Learn how major streaming services, such as Netflix and Amazon Prime, use big data
Domain: The movie industry
Description: A United States-based university has collected data from various movie reviews as a part of a research project. Leveraging Spark, you will implement multiple activities with the data that is received to uncover elaborate insights from this project which is part of our big data engineer training in Denver.
Project 6: Learn how Simplilearn and other online schools use NoSQL and big data
Domain: E-learning industry
Description: Design a web application for a top online education program with MongoDB to support read and write scalability. Java, HTML, and Servlet are some of the different online technologies that can be used when creating this web application. Users should also be able to access, delete, edit, and add course data using MongoDB as the backend database.
Our big data engineer training in Denver is ideal for students looking to pursue a career in data engineering. There are no requirements to qualify for our training program, but experience or comprehension in any of the following can be beneficial:
Post gaining big data engineer training in Denver, which is presented in collaboration with IBM, you will find yourself in strong position to bag the opportunities listed below:
Professionals working on Big data develop/maintain analytics infrastructures, and system handling by way of the steps relating to creation deployment, maintenance, and monitoring of architectural components and databases. When seeking job stability and security, big data engineering offer just that, and with a phenomenal growth expected by 2025, the decision is a no-brainer. Big data engineers work for organizations worldwide in various industries, such as Uber and Amazon.
If you want a lucrative career path that typically offers a salary that’s higher than the national average, big data engineer fits that bill. Glassdoor reports that the average annual salary for a big data engineer is $137,776.
If you’d like to begin your career journey in big data engineering, take charge by signing up for our big data engineer training in Denver.
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.
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.
Simplilearn's Big Data Hadoop certification training 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. In this Big Data Hadoop course, you will learn how various components of the Hadoop ecosystem fit into the Big Data processing lifecycle.
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.
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.
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.
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 AWS Big Data course is developed by industry leaders and aligned with the latest best practices.
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.
Our Big Data Engineer Masters program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Engineering skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about Big Data Engineer certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
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!
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.
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.
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.
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.
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 Big Data Engineering course 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.
As a part of this Big Data Engineer course, developed in collaboration with IBM you will receive the following:
You will get an IBM certificate for the first course present in the Big Data Engineer learning path.
Upon completion of the following minimum requirements, you will be eligible to receive the Master’s certificate for Big Data Engineering Certification 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|
You can enroll in this Big Data Engineering certification course on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
The top five job titles in the field of Big Data are:
The career path for a Big Data aspirant is:
Once you are done with the aforementioned steps, you can become a Big Data professional.
The top industries that are suitable for Big Data professionals who has completed Big Data Engineering training are:
The top five companies hiring Big Data professionals with Big Data Engineering course are:
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.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or contact Help & Support.
All of our highly qualified Big Data Engineering 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.
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.
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.
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.
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.
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.
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.
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.
There are no prerequisites associated with this Big Data Engineering course. However, it is beneficial to have prior knowledge of SQL, programming basics, data pipelines, algorithms, and data structures when taking a Big Data Engineering training course.
Though not required, it is recommended that you have basic programming knowledge when embarking on a career in Big Data Engineering.
Java, Python, R, SQL, and Scala are the most commonly used languages in the field of Big Data Engineering.