About our program that encompasses big data engineer training in Baltimore, 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 Baltimore 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 Baltimore. 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 Baltimore 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 Baltimore. These credentials show potential employers that you have mastered data engineering. In addition to certification, students also receive:
Our big data engineer training in Baltimore 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 Baltimore 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 Baltimore, 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 Baltimore, you’ll be ready to:
Students will work on more than a dozen projects during their big data engineer training in Baltimore. 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 Baltimore.
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 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 Baltimore, 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 Baltimore 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 Baltimore, 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.
The average basic salary for big data analytics in Baltimore is $112,938/year. Big data analytics is the taking of advanced analytic methodology in case of very big,various data ets that involve unstructured data, structured and semi-structured from different sizes , and different sources from terabytes to zettabytes. It needs a big data training course in Baltimore,To hike salaries in these roles.
Companies hiring for big data analytics in Baltimore are Stanley Black & Decker, space telescope science institute, DCI solutions, Audacious inquiry, Peraton, BAE systems, Omaha steaks, Rocket Docs, Aggreko, Noblis, American pest, Leidos for the roles of big data analyst and data engineers These roles need candidates with big data training course in Baltimore for getting their work in reputed companies.
Industries in Baltimore include BRT Laboratories, Under Armour, Legg Mason, Cordish Company, McCormick & Company, Royal farms and T.Rowe Price. The most important cultural icon in Baltimore is the Sugar refinery owned by American Sugar refining. Baltimore includes Catholic Relief Services and Lutheran Services in America and these companies encourage candidates to have big data training courses in Baltimore.
Baltimore big data analytics is a modest language that lets you combine, clean, modify, and visualise data—all of which are important abilities needed for any upcoming big data analytics professionals.
Simplilearn offers more courses on Big data analytics such as Postgraduate program in data analytics, and big data engineering.
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.
Baltimore city belongs to the state of Maryland in the United states. Its population is 586,131. Its GDP amounted to 188.62 billion U.S. dollars. GDP per capita income for the Baltimore Metro Area (MD) is $60,377. Baltimore is an industrial hub which is focused on economic factors on shipping, transportation, steel processing, auto manufacturing and many more. It attains a peak performance in technology, science, math and engineering.
Baltimore is known for its humid tropical climatic condition with a koppen climate type with cool winters, long hot summers and a peak summer. Its maximum temperature is 38°C and the minimum temperature is −7°C. Winters are variable with chill weather with sporadic snowfall.
Fort Mchenry National monument and historic shrine, Walters art gallery, National Aquarium, American Visionary Art museum, Inner Harbour and historic ships, Oriole Park at Camden yards, Fell’s point, Baltimore and Ohio railroad museum, Maryland science centre are some of the attractions in Baltimore.
Landmarks in Baltimore are Edgar Allen Poe’s Gravesite and memorial, M&T Bank Stadium, Little Italy, Hampden, USS Torsk, Washington monument and Mount Vernon Place.
Things to do in Baltimore are Upton Boxing Centre, Pimlico Race Course, Northwestern park Golf Driving range, UMBC event centre, iFLY Baltimore and more.