About our program that focuses big data engineer training in Miami, created with IBM
IBM is one of the world’s leading technology brands and one of the most well-known in the industry. IBM has many laurels to its name - from five Nobel prizes to 10 inductions in the U.S. Inventors Hall of Fame, six Turing Awards 9 U.S. National Medals offered in the field of Technology, and 5 U.S. National Medals of Science.
They invest $6 billion into research and development annually, focusing on developing and growing technology. They are also the second-largest predictive analytics and machine learning provider worldwide.
Simplilearn and IBM have joined together to closely develop our latest big data engineer training in Miami. This program is ideally suited as the kickstart needed for the next career move for those who dream of working with big data, data engineering, and related fields.
What can I expect from this big data engineer training in Miami that was created with IBM?
When this big data engineer training in Miami is completed, learners will graduate with double certificates - from IBM and another from us. These credentials help our students stand out in a large pool of job applications. You will also receive the following:
There are more than a dozen projects assigned to students in our big data engineer training in Miami. These projects present scenarios to students that closely resemble the everyday tasks that big data engineers handle. They teach clusters, scalability, and other principles. Examples include:
Project 1: Use big data clusters the way other companies do
Project Title: Scalability-Deploying Multiple Clusters
Description: You are asked to created a new cluster on a system not used for this before, but find that it is time-consuming to establish these new clusters, and you'd rather create them on the current system. You have also been tasked with testing the new cluster applications to ensure their effectiveness for this project in the big data engineer training in Miami.
Project 2: Leverage big data clusters the same way large corporations do
Project Title: Working with Clusters
Description: Show your understanding of the following:
Project 3: Show how financial institutions, such as banks, stand out amongst their competition with big data analysis and insights
Description: A Portuguese bank has been working on a marketing campaign that advertises the benefits of investing in a bank term deposit. The campaign included calling potential customers on the phone, with some individuals being contacted numerous times. You are tasked with interpreting the information collected from these phone calls.
Project 4: Understand how telecom giants, such as AT&T, use big data to make decisions
Description: On launching an Open Network campaign, a mobile provider wished that customers could submit issues (if they existed) with the service offered - whether signal disruption, or service delays. Customers who did experience difficulties with local towers submitted the requested complaints, and this information was collected accordingly.
The fourth and the fifth field of this data include the latitude and longitude of users, which is essential data for the cell phone provider to have. You must determine the latitude and longitude information on the basis of the available information and establish three clusters of users with a k-means algorithm.
Project 5: Understand how some of the most popular streaming services, like Netflix, leverage big data
Domain: The movie industry
Description: A college in the United States has acquired information from numerous movie reviews for a research project. You will execute various tasks with that data through Spark to collect important insights.
Project 6: Learn how online learning programs, such as Simplilearn, use NoSQL and big data
Domain: E-learning industry
Description: In this project, students are tasked with creating a web application with MongoDB for a top online school. It is expected to offer read/write scalability and offer the learners with a chance to do hands-on practice to perfect skills relating to HTML, Servlet, Java, and others. Users should also be able to access, delete, remove, and add course information with MongoDB as the backend database.
After receiving your big data engineer training in Miami, which was designed in collaboration with IBM, you may qualify for any of the following opportunities:
Students enrolled in our big data engineer training in Miami learn all about big data frameworks and other technologies. Organizations all over the world are focusing on using big data to uncover insights and take decision for the company - hence transforming it into a career with phenomenal potential. In fact, it is predicted that the industry is expected to grow tremendously by the year 2025.
In this program, students learn about different techniques and software required to work as big data engineers. This program lets you master database management system use, ingestion performance, data replication and modeling, and many other job-critical aspects. Students learn all about Spark ML, Impala, Scala, MongoDB, Pig, Flume, Advanced Architecture, Data Model Creation, Hive, and others.
After starting our big data engineer training in Miami, you’ll learn the fundamentals of the Hadoop ecosystem, a key concept of big data engineering. You’ll also learn MapReduce, Pig, Sqoop, Impala, HBase, and others. When students complete our big data engineer training in Miami, they can:
Big data engineers work on the development and maintenance of analytics infrastructures. This includes the inception and monitoring of architecture components and databases. Dependency on big data will grow to phenomenal levels by 2025, making a career in the field is a is a top choice, particularly for someone looking to grow rapidly and work in exciting projects. Big data engineers work all around the world in different industries, and from small businesses to large corporations.
If you are aiming for a career offering high compensation numbers, much more compared to the national average, a big data engineer career path is exactly what you'd want. Glassdoor reports that on average, big data engineers earn $137,776 yearly.
If you’re ready to fast-track your new career in big data engineering, get started by applying for our big data engineer training in Miami.
Our big data engineer training in Miami is an optimal choice if you’re aspiring to work as a big data engineer. Although there aren’t any prerequisites to enroll, any previous knowledge in the following can be advantageous:
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.
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 Data Engineering Certification Program 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.