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The course fees for the Big Data Engineer course is $1999. EMI plans are available for 6, 12, and 18 months. EMI start at $125 per month.
Contact us by dialling our toll-free number 844-532-7688 to avail this payment option.
IBM is recognized as a Leader in the 2021 Magic Quadrant for Data Science and Artificial Intelligence. A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts as Big Data Engineers. The big Data Engineer course developed in collaboration with IBM will make students industry ready to start a career as Big Data Engineers.
IBM is a leading cognitive solution and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions into the US Inventors Hall of Fame
Upon completion of this Big Data Engineer course, you will receive certificates from IBM (for IBM courses) and Simplilearn for the courses in the learning path. These certificates will testify to your skills as a Big Data Engineer after the completion of training. You will also receive the following:
Big Data has a major impact on businesses worldwide, with applications in a wide range of industries such as healthcare, insurance, transport, logistics, and customer service. A role as a Big Data Engineer places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.
These co-developed Simplilearn and IBM Big Data Engineer course is designed to give you in-depth knowledge of the flexible and versatile frameworks on the Hadoop ecosystem and big data tools like Data Model Creation, Database Interfaces, Advanced Architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML, GraphX, Sqoop, Flume, Pig, Hive, Impala, and Kafka Architecture. This Big Data Engineer course will also teach you to model data, perform ingestion, replicate data, and share data using a NoSQL database management system MongoDB.
The Big Data Engineer course curriculum will give you hands-on experience connecting Kafka to Spark and working with Kafka Connect.
Big Data Engineers create and maintain analytics infrastructure and are responsible for the development, deployment, maintenance, and monitoring of architecture components, such as databases and large-scale processing systems. The global Big Data market is expected to grow at a CAGR of 31.3 percent by 2025, so this is the perfect time to pursue a career in this field.
The valuable skills you’ll acquire with this Big Data Engineer course will help you secure employment with companies as diverse as IBM, Coca-Cola, Ford Motors, Amazon, HCL, and Uber. Big Data Engineers are employable across a variety of industries such as transportation, healthcare, telecommunications, finance, manufacturing, and many more. According to Glassdoor, the average annual salary for a Big Data Engineer is $137,776, with more than 130K jobs in this field worldwide.
The Big Data Engineer course curriculum ensures that you master the various components of the Hadoop ecosystem, such as MapReduce, Pig, Hive, Impala, HBase, and Sqoop, and learn real-time processing in Spark and Spark SQL. By the end of this Big Data Engineer certification course, you will:
Gain insights on how to improve business productivity by processing Big Data on platforms that can handle its volume, velocity, variety, and veracity
Master the various components of the Hadoop ecosystem, such as Hadoop, Yarn, MapReduce, Pig, Hive, Impala, HBase, ZooKeeper, Oozie, Sqoop, and Flume
Become an expert in MongoDB by gaining an in-depth knowledge of NoSQL and mastering the skills of data modeling, ingestion, query, sharding, and data replication
Learn how Kafka is used in the real world, including its architecture and components, get hands-on experience connecting Kafka to Spark, and work with Kafka Connect
Get a solid understanding of the fundamentals of the Scala language, it's tooling and the development process
Identify AWS concepts, terminologies, benefits, and deployment options to meet the business requirements
Understand how to use Amazon EMR for processing the data using Hadoop ecosystem tools
Understand how to use Amazon Kinesis for big data processing in real-time
Analyze and transform big data using Kinesis Streams
Visualize data and perform queries using Amazon QuickSight
Learners need to have an undergraduate degree or a high school diploma to avail of 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.
This course from IBM will teach you the basic concepts and terminologies of Big Data and its real-life applications across industries. You will gain insights on how to improve business productivity by processing large volumes of data and extracting valuable information from them.
Simplilearn’s Big Data Hadoop course lets you master the concepts of the Hadoop framework, Big data tools, and methodologies. Achieving a Big Data Hadoop certification prepares you for success as a Big Data Developer. This Big Data and Hadoop training help you understand how the various components of the Hadoop ecosystem fit into the Big Data processing lifecycle. Take this Big Data and Hadoop online training to explore Spark applications, parallel processing, and functional programming.
Get ready to add some Spark to your Python code with this PySpark certification training. This course gives you an overview of the Spark stack and lets you know how to leverage the functionality of Python as you deploy it in the Spark ecosystem. It helps you gain the skills required to become a PySpark developer.
Simplilearn’s Kafka certification lets you explore how to process huge amounts of data using various tools. You will understand how to better leverage Big data analytics with this Kafka training. Take advantage of our blended learning approach for this Kafka course and learn the basic concepts of Apache Kafka. Get ready to go through the cutting-edge curriculum of this Apache Kafka certification designed by industry experts and develop the job-ready skills of a Kafka developer.
Simplilearn’s MongoDB certification equips you with the relevant skills required to become a MongoDB Developer. The highly-qualified instructors for this MongoDB course help you understand why more businesses are using MongoDB development services to handle their increasing data storage and handling demands. Our MongoDB training is equipped with industry projects, lab exercises and various demos to explain key concepts. Enroll in our MongoDB online course and learn this popular NoSQL database
Simplilearn’s AWS Data Analytics certification training prepares you for all aspects of hosting big data and performing distributed processing on the AWS platform. Our AWS data analytics course is aligned with the AWS Certified Data Analytics Specialty exam and helps you pass it in a single try. Developed by industry leaders, this AWS certified data analytics training explores some interesting topics like AWS QuickSight, AWS lambda and Glue, S3 and DynamoDB, Redshift, Hive on EMR, among others
Simplilearn’s Big Data Capstone project will give you an opportunity to implement the skills you learned in the Big Data Engineer training. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.
Our Master's program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
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.
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.
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.
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
You will get an IBM certificate for the first course present in the Big Data Engineer course curriculum.
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 |