About our program that encompasses big data engineer training in Philadelphia, 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 announce this IBM collaboration, and consequently providing a globally in-demand big data engineer training in Philadelphia delivered by some of the top instructors.
IBM has worked closely with Simplilearn in the development of this program to provide students with only the best big data engineer training in Philadelphia. 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 10 inductions in the U.S. Inventors Hall of Fame, U.S. National Medals of Technology, five U.S. National Medals of Science, five Nobel Prizes, and six Turing Awards.
What can I expect from this big data engineer training in Philadelphia that was created in collaboration with IBM?
Certificates that students will get will be from both Simplilearn and IBM in the courses that comprise the learning path after the big data engineer training in Philadelphia is done. These credentials show potential employers that you have mastered data engineering. In addition to certification, students also receive:
Our big data engineer training in Philadelphia 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 Philadelphia include Spark ML, MongoDB, Data Model Creation, Advanced Architecture, Scala, Impala, Flume, Pig, Hive, & others.
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 to an extent and analyze operations for more intelligent decision making. 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.
Our big data engineer training in Philadelphia, will help you gain skills relating to the Hadoop ecosystem, a very important skill for big data engineering job roles. This includes learning components like Pig, MapReduce, Impala, Sqoop, HBase, and more. At the end of your big data engineer training in Philadelphia, you’ll be ready to:
Students will work on more than a dozen projects during their big data engineer training in Philadelphia. 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 Philadelphia.
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 new open network campaign put out by a provider of mobile services. A company has requested for a way for customers to place complaints about the service and about local towers. 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 Philadelphia, various tasks will have to be perfomed leveraging Spark to use the provided data and uncover valuable and 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 Philadelphia 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 Philadelphia, which was created in collaboration with IBM, you may qualify for any of the following roles:
With our big data engineering training in Philadelphia, professionals develop (and maintain) analytics infrastructure and also take care of system handling - from creating to deploying, maintaining, and monitoring of databases and related architecture components. 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 to the big data roles that be won, giving shape to a great 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 Philadelphia
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 engineers are responsible for processing large chunks of online and offline data by using data processing strategies. The yearly salary of a Big data science engineer is $ 1 lac in Philadelphia. Big Data training in Philadelphia always aids an individual to excel in the profession.
Many companies hire Big Data engineers to maintain frameworks like the massive number of data processing systems and databases. Here are few companies hiring Big Data engineers like JP Morgan Chase and Co, Perficient, World Wide Technology, Accolade, etc. Big Data training in Philadelphia can help someone get placed easily in the companies hiring for the role.
The mining industry, food processing industry, paper industry, clothing industry, and other industries are present in Philadelphia, one of the major economic sectors of the United States of America. Big Data training in Philadelphia helps people to have a bright professional career in the domain.
As a Big Data Engineer, one must be well versed with database management systems, and frameworks as the responsibility of a Big Data Engineer is to analyze and process huge chunks of structured and unstructured data. In addition to that, a Big Data Engineer should also be aware of technical skills like machine learning algorithms, non-technical skills like good communication skills, team management skills should also be included. Apart from these, Big Data training in Philadelphia also helps the person in acquiring the job more effectively.
Many channels and ways are readily available to learn any course in the present day scenario. Courses can be discovered via YouTube channels, websites like Simplilearn providing the courses, training institutes offering both online and offline ones, and many more. Big Data training in Philadelphia also falls under this category and can be learned both online and offline.
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.
Philadelphia, the city in Pennsylvania, was founded in 1682 and is the sixth most populous city. The industrial sector, economic and educational sectors make the city more famous. The population of Philadelphia is 1585010 according to the reports of 2021.
When it comes to the climate, Philadelphia’s environment is a hot subtropical one with its hot and muggy summers, cold winters, and mild spring and fall seasons. GDP per capita in 2017 of the city was $63519, and in 2022, the GDP can be improved to $66941.
When the topic of historical places comes into the picture, Philadelphia stands as one among them. Some of the best places of the city to visit are: