About our program that encompasses big data engineer training in Houston, 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 has been recognized worldwide for its various achievements and accomplishments, which have earned them six Turing Awards, five U.S. National Medals of Science, 10 inductions in the U.S. Inventors Hall of Fame, five Nobel Prizes, and nine U.S. National Medals of Technology.
Together, IBM and Simplilearn have worked closely together in the development of our big data engineer training in Houston. 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 Houston that was designed with IBM?
Earn two certificates from Simplilearn and IBM after successfully completing our big data engineer training in Houston. In a competitive job market, these impressive credentials can put you ahead of the competition and demonstrate your knowledge in data engineering. Students also receive:
Our big data engineer training in Houston 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. Organizations of all sizes consistently rely on this data to make informed business decisions, and it is expected that by the year 2025, the growth in this industry will be exponential.
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. Software lessons focus on Scala, MongoDB, Pig, Flume, Spark ML, Impala, Advanced Architecture, Hive, Data Model Creation, and others.
After enrolling in our big data engineer training in Houston, 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 Houston, you’ll be able to:
The big data engineer training in Houston 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. Because it can be time-consuming to set up these new systems, you will also need to create a new cluster on the existing systems in the meantime. 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 Houston, 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 included calling prospects on the phone, with some consumers being called multiple times, and your task includes analyzing the data that is gathered from these calls.
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. Using Spark, you will perform different tasks with that data to gain detailed insights for this big data engineer training in Houston project.
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 Houston 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:
After receiving your big data engineer training in Houston, which was designed in collaboration with IBM, you may qualify for any of the following opportunities:
Big data engineers develop and maintain analytics infrastructures and handle these systems through the creation, deployment, maintenance, and monitoring of databases and other 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 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 Houston.
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.
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.
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