About our program that encompasses big data engineer training in Pittsburgh, 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 communicate our collaboration with IBM to offer world-class big data engineer training in Pittsburgh 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 Pittsburgh. 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 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 Pittsburgh that was created in collaboration with IBM?
Certificates that students will get will be from both Simplilearn and IBM in those programs within the learning path post completion of the big data engineer training in Pittsburgh. These credentials show potential employers that you have mastered data engineering. In addition to certification, students also receive:
Our big data engineer training in Pittsburgh 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 Pittsburgh include Spark ML, MongoDB, Advanced Architecture, Scala, Pig, Flume, Data Model Creation, Impala, Hive, etc.
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 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.
Our big data engineer training in Pittsburgh, will help you gain skills relating to 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 Pittsburgh, you’ll be ready to:
Students will work on more than a dozen projects during their big data engineer training in Pittsburgh. 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
Domain: Banking
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 Pittsburgh.
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
Domain: Telecommunication
Description: A new open network campaign put out by a provider of mobile services. 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 Pittsburgh, various tasks will have to be perfomed 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 Pittsburgh 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 Pittsburgh, which was created in collaboration with IBM, you may qualify for any of the following roles:
This 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 Master's program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and 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.
Annually, a Big Data Engineer in Pittsburgh earns roughly around $89,000. To help build your skills in this sought-after profession, attending Big data training in Pittsburgh is well advised for those who aspire to become Big data engineers. Both freshers and experienced professionals can take up this course to evolve in their careers.
Some companies hiring Big Data Engineer roles in Pittsburgh include Zoom, Booz Allen Hamilton, Highmark Health, HM Health Solutions, Google, HRT Solutions, and others. A Big data training in Pittsburgh alongside a mini-project will aid in bagging a well-paid job in the mentioned big companies.
Pittsburgh is a city with a diverse industrial presence, making it a favorable destination for many to start their professional career. Manufacturing, energy, healthcare, and information technology are primary contributors to the economy and employment of Pittsburgh. Pittsburgh contributes handsomely to the overall GDP of the State of Pennsylvania. With such an industrial presence, Big data training in Pittsburgh can help you land a perfect job.
A bachelor’s degree can help you appear for interviews but cannot help you in achieving success. Here are a few proven methods you can follow to become a Big Data Engineer in Pittsburgh:
Start with an Internship.
Everything you are searching for is available online, including Big data training certification in Pittsburgh. You can go to education websites like Simplilearn to get the best Big data training right from Pittsburgh. However, in whatever courses you choose to study, make sure it makes you implement what you have learned. It can help you stand out from the crowd.
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.
Pittsburgh holds an estimated population of 3.02 lakhs. The Pittsburgh metropolitan area is the 27th largest city in the US. The GDP growth of Pittsburgh accounted for a humongous $145.5bn for the year 2018-19. Pittsburgh’s contribution to the country proves to give a good boost from its GDP standpoint. Pittsburgh has a GDP per capita of about $56,237, according to the latest estimates.
Pittsburgh has a Geographical spread of 58.3 sq. miles. Pittsburgh has around 90 neighbourhoods in its surroundings and experiences a humid continental climate. Pittsburgh is also known as the City of Bridges. It has more than 300 businesses related to steel and also has around 446 bridges of its own.
Pittsburgh, as a tourist spot, can give you different flavours. It has a list of must-visit places ranging from aspects of Entertainment & cultural values. As the locality has a rich cultural heritage, you can find some of the famous chill spots.
Here’s a list of places you should never miss visiting in Pittsburgh: