About Big Data Engineer Course

  • About the Big Data Engineer certification program developed in collaboration with IBM

    About our program that encompasses big data engineer training in Seattle, 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's list of international accomplishments and recognitions include 6 Turing Awards, 5 U.S. National Medals of Science, five Nobel Prizes, 10 inductions in the U.S. Inventors Hall of Fame 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 Seattle. 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 Seattle that was designed with IBM?

    Earn two certificates from Simplilearn and IBM after successfully completing our big data engineer training in Seattle. Give the highly competitive nature of the job market, the credential you gather here can leapfrog you ahead of your competitors and give you a clear edge in the data engineering career journey. Students also receive:

    • IBM cloud credits valued at $1,200 that can be used for hands-on practice
    • A Big Data Engineer Master's Certificate from Simplilearn
    • Access to IBM Watson and other cloud programs and programs, which are also a good opportunity for hands-on practice 

  • What will students learn from our big data engineer training in Seattle?

    Our big data engineer training in Seattle 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. Business of all types and sizes need this kind of data to make accurate decisions; infact, 2025 is expected to bring in unprecendented growth in this area. 

    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. The lessons on software are on Scala, Flume, Pig, MongoDB, Spark ML, Advanced Architecture, Hive, Impala, Data Model Creation, etc.

  • What skills does our big data engineer training in Seattle teach?

    After enrolling in our big data engineer training in Seattle, 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 Seattle, you’ll be able to:

    • Operate Kinesis Streams for big data analysis and transformation
    • Effectively operate various features of the Hadoop ecosystem, including Oozie, Flume, Impala, Yarn, and MapReduce
    • Use big data insights to put business plans into action, in addition to comprehending how big data is processed on platforms that handle its velocity, volume, variety, and veracity
    • Process big data with Hadoop ecosystem tools and Amazon EMR
    • Understand real-time big data processing with Amazon Kinesis 
    • Know the fundamentals of the Scala language, as well as its development process and tools
    • Comprehend how Kafka can be used for potential realistic scenarios, plus its architecture and features, in addition to how to use Kafta Connect and connect Kafka to Spark
    • Use Amazon QuickSight to perform queries and visualize data
    • Understand AWS terms, principles, benefits, and deployment needed to adequately meet organization requirements
    • Understand MongoDB and NoSQL, including mastering data modeling, sharding, query, ingestion, and data replication

  • What projects do students work on when they enroll in our big data engineer training in Seattle?

    The big data engineer training in Seattle 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. Since setting up new systems will take a lot of time, there will be a requirement for creation of the new cluster in the existing systems. 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 Seattle, you will demonstrate your comprehension of the following:

    • Adding Hue as a service, logging in with a Hue account and downloading examples for Pig, Hive, job designer, and others
    • Removing Hue service from clusters that have other services, YARN, HBase, Hive, and HDFS set up
    • Disabling and enabling HA for resource manager and namenode in CDH
    • Allowing read access to a Cloudera cluster after a user is added 
    • Modifying replication and block size of a cluster

    Project 3: Demonstrate how financial institutions and banks use big data when analyzing their competitors
    Domain: Banking
    Description: A Portuguese bank created a marketing campaign to target consumers wanting to invest in a bank term deposit. The campaign comprised prospecting via phone calls, with some getting multiple calls and task at hand is to gather and analyse the data generated.

    Project 4: Utilize big data and focus on telecommunications to understand how telecom giants, such as AT&T, leverage data for various purposes 
    Domain: Telecommunication
    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. Leveraging Spark, you will implement multiple activities with the data that is received to uncover in-depth insights from the project that is included in this big data engineer training in Seattle.

    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.

  • Who is qualified to enroll in Simplilearn’s big data engineer training in Seattle?

    Our big data engineer training in Seattle 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:

    • Distributed systems and cloud platforms
    • Data pipelines
    • Programming knowledge in Python and Java
    • Data structures and algorithms
    • SQL

  • What job opportunities are available to those who receive certification from Simplilearn’s big data engineer training in Seattle?

    Post gaining big data engineer training in Seattle, which is presented as an IBM collaboration, you stand to grab the best opportunites in the job roles mentioned below:

    • Technical Program Manager
    • Data Engineer/Big Data Engineer
    • Product Engineer
    • Data Architect
    • Big Data Lead
    • Big Data/Hadoop Developer

  • What are the benefits of pursuing a career in big data engineering?

    Professionals working on Big data develop/maintain analytics infrastructures, and system handling by way of a create, deploy, maintain and monitor workflow for database and related architecture. When seeking job stability and security, big data engineering would be the ideal fit for you, especially when the market is expected to show rapid growth by 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 Seattle.

  • What projects are included in this Big Data Engineer certification training?

    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:

    • Enabling and disabling HA for namenode and resource manager in CDH
    • Removing Hue service from your cluster, which has other services such as Hive, HBase, HDFS, and YARN setup
    • Adding a user and granting read access to your Cloudera cluster
    • Changing replication and block size of your cluster
    • Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others

     

    Project 3: See how banks like Citigroup, Bank of America, ICICI, and HDFC make use of Big Data to stay ahead of the competition. 
    Domain: Banking
    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.
    Domain: 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
    Description: Design a web application for a leading E-learning organization using MongoDB to support read and write scalability. You can use web technologies such as HTML, JavaScript (JSP), Servlet, and Java. Using this web application, a user should able to add, retrieve, edit, and delete the course information using MongoDB as the backend database. 

Tools Covered

flumeimpalakafkaspark.apache hbasemongodbsparksqlhivesqoophdfshadoopjavapythonscala

Big Data Engineer Course Advisor

  • Ronald van Loon

    Ronald van Loon

    CEO, Principal Analyst Intelligent World,Top10 AI-Data-IoT-Influencer

    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.

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Big Data Engineer Certification Learning Path

  • Course 1

    Big Data for Data Engineering

    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.

    Read More
  • Course 2Online Classroom Flexi Pass

    Big Data Hadoop and Spark Developer

    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.

    Read More
  • Course 3

    PySpark Training Course

    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.

    Read More
  • Course 4

    Apache Kafka

    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.

    Read More
  • Course 5Online Classroom Flexi Pass

    MongoDB Developer and Administrator

    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

    Read More
  • Course 6Online Classroom Flexi Pass

    AWS Data Analytics Certification Training

    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

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  • Course 7Online Classroom Flexi Pass

    Big Data Capstone

    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.

    Read More
  • Master's Program Certificate

  • Electives

    AWS Technical Essentials

  • Electives

    Java Certification Training

  • Electives

    Industry Master Class – Data Engineering

Get Ahead with Simplilearn's Master Certificate

Get Ahead with Simplilearn's Master Certificate

Earn your certificate

Our Big Data Engineering courses is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and Data Engineering skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

Talk about your certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Big Data Engineer Certificatein Seattle

Big Data Engineer Course Reviews

  • Bob Hays

    Bob Hays

    Founder at Selwyn Web Design, Little Rock

    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!

  • Satish Hiremath

    Satish Hiremath

    Senior Consultant at Capgemini, Bangalore

    Simplilearn's course has helped me advance from Senior Software Engineer to Senior Java Hadoop Developer with a 30% hike in salary.

  • Md Azhar Hussain

    Md Azhar Hussain

    Bangalore

    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.

  • Karthikeyan M

    Karthikeyan M

    Lead Consultant at Anantara Solutions, Bangalore

    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.

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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Big Data Engineer Training FAQs

  • What is the salary of a Big Data Engineer in Seattle?

    A Big Data Engineer can expect to earn an average of $89,951 with less than 1-year of experience. For a candidate with experience of up to 9 years, the average could be $117,673. Surely you can have more salary with more experience and completed big data training in Seattle.

  • What are the major companies hiring for Big Data Engineers in Seattle?

    The fastest-growing job is Data Engineer and Big Data Engineers are needed for many top companies of Seattle such as Microsoft, Amazon, Facebook, HCL Global Systems, Aplomb Technologies, Integris Software. Your chance of getting to work with these companies increases if you’re qualified and completed big data training in Seattle.

  • What are the major industries in Seattle?

    An organization can be heavily impacted by big data, hence many industries such as Data Science, Data Analysis, Artificial Intelligence, Healthcare, Entertainment, Retail, Insurance, Analytics, are working with data engineers. It would be beneficial for someone with relevant qualifications and a big data training in Seattle course to get a suitable industry.

  • How to become a Big Data Engineer in Seattle?

    To get an entry-level job as a Big Data Engineer in Seattle, you need to earn a bachelor’s degree in computer science or in a relevant field and begin working on projects. Additionally, you require professional engineering and training such as big data training Seattle along with big data certifications.

  • How to find Big Data Engineer courses in Seattle?

    Search for the courses which cover all the concepts of Big Data Engineer such as Knowledge of Java, Data Structuring, Big Data (Hadoop and Kafka). Along with it, find some necessary certification courses from a valid institute that also provides big data training in Seattle.

  • What is 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.

  • What does a Big Data Engineer do?

    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.

  • How do I become a Big Data Engineer?

    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.

  • What can I expect from the Big Data Engineer course?

    As a part of this Big Data Engineer course, developed in collaboration with IBM you will receive the following:

    • Lifetime access to e-learning content for all of the Big Data Engineering Courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM(for IBM courses) and Simplilearn upon successful completion of the Big Data engineering course
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • For which all courses will I get certificates from IBM?

    You will get an IBM certificate for the first course present in the Big Data Engineer course curriculum.

  • How do I earn the Big Data Engineer Master's certificate?

    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

  • How do I enroll in the Big Data Engineer course?

    You can enroll in this Big Data Engineering course on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • What are the top job titles in the field of Big Data?

    The top five job titles in the field of Big Data are:

    • Data Engineer/Big Data Engineer
    • Data Analyst
    • Data Architect
    • Database Developer
    • Data Security Administrator

  • Which are the top industries suitable for Big Data professionals?

    The top industries that are suitable for Big Data professionals are:

    • Medicine and healthcare
    • Banking
    • Information technology
    • Education
    • Retail
    • Ecommerce

  • What are the top companies hiring Big Data professionals?

    The top five companies hiring Big Data professionals are:

    • IBM
    • Microsoft
    • Facebook
    • Oracle
    • Amazon

  • If I need to cancel my enrollment, can I get a refund?

    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

  • I am not able to access the Big Data Engineering courses. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback. 

  • Do you provide a money back guarantee for the training programs?

    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.

  • Who are the instructors and how are they selected?

    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.

  • What is Global Teaching Assistance?

    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.

  • What is covered under the 24/7 Support promise?

    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.

  • Do you offer any university partnered program in Big Data?

    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.

  • What kind of career opportunities can I pursue with Big 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.

  • What degree do you need to be a Big Data Engineer?

    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.

  • What is the average salary for a Big Data Engineer?

    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.

  • Is a Big Data Engineering course hard to learn?

    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.

  • What are the prerequisites to pursue this Big Data Engineer course?

    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.

  • Does Big Data Engineering require coding?

    Though not required, it is recommended that you have basic programming knowledge when embarking on a career in Big Data Engineering.

  • Which language is best for Big Data Engineering?

    Java, Python, R, SQL, and Scala are the most commonly used languages in the field of Big Data Engineering.

Big Data Engineer Training in Seattle

Seattle is a seaport city in the United States. It is the largest city with a population of 737,015 (as of 2020). The GMP (Gross Metropolitan Product) of Seattle was around $231 billion as of 2010. A number of songs have been dedicated and written about Seattle over the years. The temperature of Seattle is cool with relatively dry summers and wet winters. Such a suitable climate allows the city outdoor recreation, including hiking, skiing, snowboarding, walking, cycling, rock climbing, etc. Seattle was listed as the most literate city among the 69 largest cities of the United states in 2005. People come to Seattle for education and many of them complete big data training in Seattle.

Seattle is famous for the performing arts for many years because of the oldest Seattle Symphony Orchestra. There are many things to do for recreation in Seattle along with the country music and incredible food choices. Besides visiting the famous landmarks, people also come for education and complete big data training in Seattle. Some famous attractions of Seattle are:

Our Seattle Correspondence / Mailing address

Simplilearn's Big Data Engineer Training in Seattle

1455 NW Leary Way, Suite 400 Seattle, WA 98107 United States

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.