About the Program

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

    About our program that encompasses big data engineer training in San Francisco, 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. They are also the second-largest predictive analytics and machine learning solutions provider in the world, which is why we are thrilled to announce our collaboration with IBM by providing accredited big data engineer training in San Francisco from only the best instructors in the industry.

    IBM has worked closely with Simplilearn in the development of this program to provide students with only the best big data engineer training in San Francisco. Upon completion, students will be prepared to pursue roles in data engineering, big data, and other technology sectors. 

    To date, IBM has been recognized with an extensive and impressive list of achievements and awards, including nine U.S. National Medals of Technology, five Nobel Prizes, six Turing Awards, 10 inductions in the U.S. Inventors Hall of Fame, and five U.S. National Medals of Science.

    What can I expect from this big data engineer training in San Francisco that was created in collaboration with IBM?

    Students will receive certificates from Simplilearn and IBM in the learning path’s big data courses after completing our big data engineer training in San Francisco. These credentials show potential employers that you have mastered data engineering. In addition to certification, students also receive:

    • IBM cloud credits that you can use for hands-on practice, which are valued at $1,200
    • Access to IBM cloud platforms, such as IBM Watson, plus other programs that give you the opportunity to practice what you’ve learned
    • An exclusive Big Data Engineer Master's Certificate from Simplilearn

  • What will students learn from Simplilearn’s big data engineer training in San Francisco?

    Our big data engineer training in San Francisco 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. Some of this software you will work with in this big data engineer training in San Francisco includes MongoDB, Spark ML, Advanced Architecture, Data Model Creation, Scala, Flume, Impala, Pig, Hive, and numerous others.

    Big data is used in just about every industry throughout the world. From transportation to healthcare, to customer service and insurance, most organizations use big data to some extent to help analyze operations and make future 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.

  • What skills will you acquire if you take big data engineer training in San Francisco?

    By signing up for our big data engineer training in San Francisco, you’ll learn all about the Hadoop ecosystem, which is an essential part of being successful 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 San Francisco, you’ll be ready to:

    • Put plans into action that will improve business productivity based on big data insights, as well as understand how to process big data on platforms that can handle its velocity, volume, variety, and veracity
    • Use Amazon EMR for processing big data using Hadoop ecosystem tools
    • Use Amazon Kinesis for real-time big data processing 
    • Use Kinesis Streams for big data analysis and transformation
    • Successfully understand how to operate Oozie, Flume, Impala, Yarn, MapReduce, and other essential components of the Hadoop ecosystem
    • Gain a complete comprehension of the basics of the Scala language, including its development process and tools
    • Recognize AWS terminologies, principles, advantages, and deployment needed to effectively meet business requirements
    • Master MongoDB through comprehensive knowledge of NoSQL, including becoming an expert in data modeling, sharding, query, ingestion, and data replication
    • Understand how Kafka can be used for real-world scenarios, in addition to its architecture and features, as well as how to use Kafta Connect and connect Kafka to Spark
    • Use Amazon QuickSight to visualize data and perform queries

  • What projects do students work on when they receive big data engineer training in San Francisco?

    Students will work on more than a dozen projects during their big data engineer training in San Francisco. 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:

    • Removing Hue service from clusters, which have other services, HBase, Hive, YARN, and HDFS set up
    • Disabling and enabling HA for resource manager and namenode in CDH
    • Logging in as a Hue user, adding Hue as a service, and downloading examples for Pig, job designer, Hive, etc.
    • Granting read access to a Cloudera cluster after the addition of a user 
    • Altering replication and block size of a cluster

    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 San Francisco.

    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 cell phone service provider has launched a new Open Network campaign. An organization has asked customers to submit complaints about local towers if they have challenges with their service. 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. In this project for big data engineer training in San Francisco, you will have to perform various tasks in Spark using the data provided in order to gain in-depth insights from this information.

    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.

  • Who is eligible to sign up for Simplilearn’s big data engineer training in San Francisco?

    Our big data engineer training in San Francisco 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:

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

  • What career opportunities are available to those who successfully complete Simplilearn’s big data engineer training in San Francisco?

    After completing your big data engineer training in San Francisco, which was created in collaboration with IBM, you may qualify for any of the following roles:

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

  • Why should you pursue a career in big data engineering?

    Professionals with big data engineering training in San Francisco develop and maintain analytics infrastructure 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 all different companies across various industries, such as Amazon, Ford Motors, IBM, Uber, Coca-Cola, and thousands of others. Because most companies rely so heavily on data these days, there is no limit as to where or how you’ll land a role in big data, which offers tremendous flexibility throughout your career. Glassdoor reports that big data engineers earn an average of $137,776 each year, making it a lucrative choice as well.

    If you’re ready to get started in your career in big data engineering, the first step is receiving big data engineer training in San Francisco

  • 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. 

Contact Us

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Tools Covered

flumeimpalakafkaspark.apache hbasemongodbsparksqlhivesqoophdfshadoopjavapythonscala

Big Data Engineer Certification Learning Path

  • Course 1

    Big Data for Data Engineering

    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.

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    Course Content
  • Course 2

    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.

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    Course Content
    GO TO COURSE PAGE
  • 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.

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    Course Content
    GO TO COURSE PAGE
  • 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.

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    Course Content
    GO TO COURSE PAGE
  • Course 5

    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

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    Course Content
  • Course 6

    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 Content
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  • Course 7

    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.

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    Course Content

  • Master's Program Certificate

  • Electives

    AWS Cloud 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 Master's program 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 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 San Francisco

Why Join this Program

  • 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 analyst in San Francisco?

    The average yearly income for a candidate with big data training San Francisco is $1L. The creation of new technologies for transmitting, collecting, and analyzing enormous volumes of unstructured data is aided by big data. Big data is being aggressively collected by leading companies in a variety of industries, including sales, advertising, research, and medicine.

  • What are the major companies hiring for big data analysts in San Francisco?

    Some of the finest businesses that recruit people with big data training San Francisco include Splunk, Needham & Company, Team soft Technologies, Google, and Braintrust.

  • What are the major industries in San Francisco?

    Tourism is one of the city's most important private organizations, employing more than one in every seven people in San Francisco. As a result, a large number of aspirants with big data training San Francisco are hired for the advantage of the industries.

  • How to become a big data analyst in San Francisco?

    Big Data engineers are educated in actual data processing, offsite data processing methodologies, and large-scale machine learning application. They should be in charge of building, evaluating, and managing platforms such as large-scale data processing software and processes.

  • How to find a big data course in San Francisco?

    In cooperation with IBM, this Big Data Engineer Master's Certification program in the San Francisco Bay Area delivers online training on the top big data programs to teach skills necessary for a good career in data engineering. Simplilearn makes it simple to do so.

  • 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?

    This Big Data Engineer course 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. This course will train you on Big Data, Hadoop clusters, MongoDB, PySpark, Kafka architecture, SparkSQL, and much more to become an expert as Big Data Engineer.

  • 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 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 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 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 Engineer 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 is the recommended career path for Big Data aspirants?

    The career path for a Big Data aspirant is:

    • Operating system - You need to learn about the popular operating systems on which big data tools run
    • Programming - Get an in-depth understanding of programming languages to process data easily and efficiently
    • DBMS and SQL - Learn to write SQL queries which are needed to optimally manage data in databases
    • ETL and warehousing tools - Study the ETL tools critical to the aggregation and analysis of unstructured data from different sources
    • Hadoop and Spark frameworks - Process and analyze large volumes of data with a thorough knowledge of Hadoop and Spark
    • Data mining and modelling - Understand how to analyze existing data and discover patterns for creating predictive data models

    Once you are done with the aforementioned steps, you can become a Big Data professional.

  • 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 Engineer 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. 

  • Who are the instructors and how are they selected?

    All of our highly qualified 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 the completion of your course with us.

  • Does Simplilearn provide practice exams related to this Big Data Engineer course?

    Yes, we offer the following Big Data associated practice tests for the individuals who enrolled for our Big Data Engineer course;

  • 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 Course provides a high-engagement learning experience with real-world applications to help you master crucial skills.

  • 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.

  • 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 Engineer course.

Big Data Engineer Training in San Francisco Bay Area

San Francisco is a municipality and seaport in northern California, San Francisco is a mountainous and approximately square city on the northern point of a peninsula.

San Francisco's GDP was $203.5 billion, with a per capita GDP of $230,829.

San Francisco's climate is wet and mild in the winter, sunny and moderate in the spring, foggy and chilly in the summer, and bright and pleasant in the fall.

During the internet growth of the 1990s, San Francisco had become a hotspot for technologically driven economic expansion, and it continues to play an essential role in the global city network nowadays.

Its numerous hills are home to pleasantly different communities and gorgeous streetscapes, positioned on a peninsula between the dazzling San Francisco Bay and the Pacific Ocean. The locations mentioned below will offer you a taste of San Francisco.

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