About our program that encompasses big data engineer training in Richmond, 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 a behemoth and the on the 2nd rank in terms on predictive analytics and ML solutions, and Simplilearn is proud to communicate our collaboration with IBM to offer world-class big data engineer training in Richmond 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 Richmond. Upon completion, students will be prepared to pursue roles in data engineering, big data, and other technology sectors.
Since a while, IBM has stacked up a very long list of recognitions - 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 Richmond that was created in collaboration with IBM?
The learners get certificates from both IBM and Simplilearn in those programs within the learning path post completion of the big data engineer training in Richmond. These credentials show potential employers that you have mastered data engineering. In addition to certification, students also receive:
Our big data engineer training in Richmond 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 set of software that you master within the big data engineer training in Richmond are MongoDB, Spark ML, Advanced Architecture, Scala, Pig, Flume, Data Model Creation, Impala, Hive, etc.
Big data is used in just about every industry throughout the world. From customer support to insurance, transportation, and healthcare, organizations leverage 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.
When you undergo our big data engineer training in Richmond, you master 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 Richmond, you’ll be ready to:
Students will work on more than a dozen projects during their big data engineer training in Richmond. 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:
Project 3: Understand how big data is used amongst large banks and financial institutions to stay ahead of competitors
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 Richmond.
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
Description: A known service provider (mobile) released a campaign for open network. 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. As part of this project included in the big data engineer training in Richmond, you will be expected to do certain tasks 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.
Our big data engineer training in Richmond 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:
After completing your big data engineer training in Richmond, which was created in collaboration with IBM, you may qualify for any of the following roles:
Individuals undergoing big data engineering training in Richmond learn to develop/maintain anaytics infrastructure & 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. Since more and more companies are relying on data and hence there are limitless opportunities 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 Richmond
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:
Project 3: See how banks like Citigroup, Bank of America, ICICI, and HDFC make use of Big Data to stay ahead of the competition.
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.
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
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 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.
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.
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.
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.
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
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
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.
Our Big Data Engineering courses 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 your 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.
The average yearly salary of a Big Data Trainer in Richmond, US, is $94,704. However, experience, skill, and training play a major role in determining your position on the pay scale. A big data training course in Richmond will surely help in gaining better exposure resulting in a higher pay scale.
The demand for big data engineers is on the rise. Some of the companies hiring for this position in Richmond are Capital One, Nityo InfotechDice, eSolutions, Apton, and Technocraft solutions. There are better and higher opportunities available for individuals in Richmond who have received big data training.
Richmond’s biggest strength has always been its strong industrial base; over the years, it has established itself as a hub for technology, innovation, and entrepreneurship. Major Industries in Richmond include drug development, medical diagnostics, biomedical engineering, forensics, and environmental analysis, banking, finance insurance, tobacco production, and food processing. These industries are increasingly recruiting more individuals with Big Data Training in Richmond.
At Richmond, the demand for a Big Data Engineer has been on the rise ever since this city became a hub for technology. In this profession, one needs to have the proper knowledge and analytical skills to excel. One should enroll themselves in Big Data Training programs which are an essential element for becoming a successful Big Data Engineer at Richmond.
Here is how you can become a Big Data Engineer in Richmond,
Since digital Big Data Engineers are highly sought after, it is pivotal to have completed a basic course and have received training. Taking up Big Data training in Richmond will increase your standards. With a good training program, you can achieve greater heights and integrate the required skill set.
Here are a few tricks,
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 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.
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 course curriculum.
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|
You can enroll in this Big Data Engineering 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 are:
The top five companies hiring Big Data professionals 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 Request a callback.
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.
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.
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 Engineer course, 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.
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.
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.
Richmond is the capital of The Commonwealth of Virginia, which is a state in the United States. The population of Richmond lies around 1,116,635 making it the fourth most populous state in Virginia. The area of the region is 62.55 square miles, and the annual average temperature is 57.7 F.
Richmond lies along the beautiful James River and is situated just in the heart of Virginia. Richmond holds great historical value, and thus one can visit various famous museums here that include Virginia Museums of Fine Arts and Virginia Holocaust Museum. One can also take a walk alongside the beautiful James River-Kanawha Canal. To experience the beauty of nature at Richmond, one should definitely visit the Metro Richmond Zoo and Belle Isle.