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 Sacramento, 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. 

    IBMachievements and accomplishments have given them many global laurels - six Turing Awards, five U.S. National Medals of Science, U.S. National Medals of Technology (9), inductions into the U.S. Inventors Hall of Fame (10), and Nobel Prizes (5).

    Together, IBM and Simplilearn have worked closely together in the development of our big data engineer training in Sacramento. 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 Sacramento that was designed with IBM?

    Earn two certificates from Simplilearn and IBM after successfully completing our big data engineer training in Sacramento. Given the hyper competitive job market in this field, these valuable credentials you get can catapult you ahead of the competition by helping you demonstrate your data engineering expertise better. 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 Sacramento?

    Our big data engineer training in Sacramento 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 everywhere increasingly rely on data for decisions on their business, and the expectations are that by 2025, the industry growth will be phenomenal. 

    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 technology topics are concentrated on Mongo DB, Scala, Flume, Pig, Spark ML, Data Model Creation, Advanced Architecture, Impala, Hive, and others.

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

    After enrolling in our big data engineer training in Sacramento, 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 Sacramento, 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 Sacramento?

    The big data engineer training in Sacramento 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. Due to the time-consuming nature of setting up these new systems, you'll need to build the new cluster on the current systems that exist. 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 Sacramento, 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 saw phone calls (sometimes multiple calls) to consumers, and task in front of you is gathering and analytics of the data that flows in.

    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. Utilizing Spark, you will execute multiple activites with the data possessed to generate elaborate insights from this project which is part of our big data engineer training in Sacramento.

    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 Sacramento?

    Our big data engineer training in Sacramento 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 Sacramento?

    On receipt of this big data engineer training in Sacramento, that is offered in collaboration with IBM, you will find yourself in strong position to bag the opportunities listed 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?

    Big data engineers are know for development and maintenance of analytics infrastructures and the handling of sytems via the steps relating to creation deployment, maintenance, and monitoring of architectural components and databases. For a career that offers stability and security, a big data engineering path offer just that, and with a phenomenal growth expected by 2025, the decision is a no-brainer. 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 Sacramento.

  • 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

1-844-532-7688

( Toll Free )

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
    GO TO COURSE PAGE
  • 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 Sacramento

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 data engineer with Big data analytics skills in Sacramento?

    The annual gross salary of a data engineer with Big data analytics skills in Sacramento is $98,301 per annum. The pay varies with each individual. Depending on the skills they acquire, the variation also takes place in salary. Big data training in Sacramento will get you on the right track to earn a higher income.

  • What major companies are hiring for a data engineer with Big data analytics skills in Sacramento?

    A lot of opportunities exist for data engineers with Big data training in Sacramento. Ryder System, Travelers, Cotocus, Intel Pearson, Accenture, and Rally's supermarket are major companies that hire a data engineer with Big data analytics skills in Sacramento. Thus Big data training in Sacramento will bring more opportunities to get hired by any of these companies.

  • What are the major industries in Sacramento?

    Key industries like agribusiness, manufacturing, entertainment, clean energy, technology, health care, and a robust housing market contribute to the economy of Sacramento city. Apart from mining, technology, business, financial services, and education are also popular businesses that exist here. Government employment is considered to be the largest employment sector in this area. It is the capital of the 7th largest economy in the world. Thus Big data training in Sacramento will provide an opportunity to get a good job over here.

  • How to become a data engineer with Big data analytics skills in Sacramento?

    A data engineer is expected to work on algorithms and transform them into model codes. Upon completing Big data training in Sacramento, you can enhance your abilities and gain hands-on experience. However, there are many more skills required for a data engineer.

    Here is how you can become a data engineer with Big data analytics skills in Sacramento.

    • Have solid knowledge of SQL databases.
    • Familiarise yourself with the basics of big data tools.
    • Take up courses related to Big data training in Sacramento.
    • A UG degree in computer science, statistics, or any related field is eligible for this job role.
    • Focus on working with programming and coding languages
    • Possess a good knowledge of frameworks and algorithms.

  • How to find a Big data training course in Sacramento?

    If you want to be an expert in big data, all you need is the right course to enhance your skills. Upon completing a Big data training in Sacramento, you could get a higher position in companies.

    Here are a few tips for finding a Big data training course in Sacramento.

    • Cloudera, Simplilearn, Hortonworks, Coursera are some online course providers that will help you learn big data training courses effectively.
    • There are many certifications for big data training based on the subjects you choose. Initially, decide which specification you want to learn and then proceed further.
    • Seek guidance from tutors on what courses are helpful under the big data training category.
    • Have a word with the institutions about the course syllabus and specifications.

  • 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 Sacramento

Sacramento is the capital of California, and the population is more than 5 lakhs. It is the cultural and economic base of the Sacramento metropolitan area. The economy of the city is derived from the finance and education sectors. This helped Sacramento become the fastest-growing city in the state. 

The gross domestic product of the Sacramento metropolitan area was estimated at $153,331 million. The city's GDP per capita amounted to $46,769. The metropolis covers around 100 square miles. The city has an urban forest area and is also known as the 'City of Trees.' A hot-summer Mediterranean climate characterizes it. Sacramento receives precipitation for an average of 60 days every year. 

Sacramento has several interesting places to visit. From intriguing museums and historic buildings to shopping and excellent dining, Sacramento offers all. The city also hosts a lot of festivals between spring and fall.

Some of the wonders of Sacramento include:

  • 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.