Big Data Engineer Training in Sydney
Simplilearn and IBM have come together in this exciting collaboration for our big data engineer training in Sydney. This top training program teaches aspiring big data engineers the essentials that will help them jump start their careers. From AWS services to Hadoop frameworks, students learn the tools needed to excel when they enroll in our big data engineer training in Sydney.
- Course 1Big Data for Data Engineering
- Course 2Big Data Hadoop and Spark Developer
- Course 3PySpark Training Course
- Course 4Apache Kafka
- Course 5MongoDB Developer and Administrator
- Course 6AWS Big Data Certification Training
- Course 7Big Data Capstone
- Master's Certificate*You will get individual certificates for each course.
World’s #1 Online Bootcamp
- Live interaction with IBM leadershipIncludes live Master Classes and Ask me anything sessions
- 8X higher live interaction in live online classes by industry expertsLive Online classes by industry experts
- Capstone and 15+ real life projectsBuilt on datasets of YouTube, Glassdoor, Facebook.
- Annual Average US salary $72K to $158K
For Business
Customized learning paths, 4x outcomes & completion rates; award-winning client support.
About the Program
About the Big Data Engineer certification course developed in collaboration with IBM
About our program that focuses big data engineer training in Sydney, created with IBM
IBM is one of the world’s leading technology brands and one of the most well-known in the industry. IBM has earned worldwide recognition in the industry, including five Nobel Prizes, six Turing Awards, 10 inductions in the U.S. Inventors Hall of Fame, nine U.S. National Medals of Technology, and five U.S. National Medals of Science.
They invest $6 billion into research and development annually, focusing on developing and growing technology. They are also the second-largest predictive analytics and machine learning provider worldwide.
Simplilearn and IBM have joined together to closely develop our latest big data engineer training in Sydney. This course is suitable for anyone looking to take the next step in their career, and for those who have an interest in data engineering, big data, or other technical fields.
What can I expect from this big data engineer training in Sydney that was created with IBM?
Upon completion of our big data engineer training in Sydney, students will graduate with two certificates, one from IBM and another from Simplilearn. These credentials help our students stand out in a large pool of job applications. You will also receive the following:
- IBM cloud credits that are ideal for hands-on practice, a $1,200 value
- A Big Data Engineer Master's Certificate from Simplilearn
- Access to IBM Watson and various cloud platforms and programs that improve the learning experience
What projects does our big data engineer training in Sydney assign to students?
There are more than a dozen projects assigned to students in our big data engineer training in Sydney. These projects present scenarios to students that closely resemble the everyday tasks that big data engineers handle. They teach clusters, scalability, and other principles. Examples include:
Project 1: Use big data clusters the way other companies do
Project Title: Scalability-Deploying Multiple Clusters
Description: You are assigned with creating a new cluster on a new system, but because it can take a long time to set up new clusters, you will have to create a new cluster in the meantime on the existing system. You have also been tasked with testing the new cluster applications to ensure their effectiveness for this project in the big data engineer training in Sydney.Project 2: Leverage big data clusters the same way large corporations do
Project Title: Working with Clusters
Description: Show your understanding of the following:- Enabling read access to a Cloudera cluster once a user is added
- Altering block size and replication of a cluster
- Eliminating Hue service from clusters that include other services, YARN, HBase, Hive, and HDFS set up
- Logging in with a Hue account after adding Hue as a service and downloading examples for Hive, Pig, job designer, and others
- Disabling and enabling HA for namenode and resource manager in CDH
Project 3: Show how financial institutions, such as banks, stand out amongst their competition with big data analysis and insights
Domain: Banking
Description: A Portuguese bank has been working on a marketing campaign that advertises the benefits of investing in a bank term deposit. The campaign included calling potential customers on the phone, with some individuals being contacted numerous times. You are tasked with interpreting the information collected from these phone calls.Project 4: Understand how telecom giants, such as AT&T, use big data to make decisions
Domain: Telecommunication
Description: After a mobile provider launched an Open Network Campaign, they wanted customers to submit complaints if they were experiencing any issues with their service, including signal issues with service interruptions. Customers who did experience difficulties with local towers submitted the requested complaints, and this information was collected accordingly.
The fourth and the fifth field of this data include the latitude and longitude of users, which is essential data for the cell phone provider to have. You must determine the latitude and longitude information on the basis of the available information and establish three clusters of users with a k-means algorithm.Project 5: Understand how some of the most popular streaming services, like Netflix, leverage big data
Domain: The movie industry
Description: A college in the United States has acquired information from numerous movie reviews for a research project. You will execute various tasks with that data through Spark to collect important insights.Project 6: Learn how online learning programs, such as Simplilearn, use NoSQL and big data
Domain: E-learning industry
Description: In this project, students are tasked with creating a web application with MongoDB for a top online school. It should support read and write scalability and give students the opportunity to practice hands-on with Servlet, HTML, Java, and other technical skills. Users should also be able to access, delete, remove, and add course information with MongoDB as the backend database.What types of careers do individuals pursue after completing Simplilearn’s big data engineer training in Sydney?
After receiving your big data engineer training in Sydney, which was designed in collaboration with IBM, you may qualify for any of the following opportunities:
- Product Engineer
- Data Architect
- Big Data/Hadoop Developer
- Technical Program Manager
- Data Engineer/Big Data Engineer
- Big Data Lead
What is taught in our big data engineer training in Sydney?
Students enrolled in our big data engineer training in Sydney learn all about big data frameworks and other technologies. With most organizations depending on big data each day to analyze past and future decisions, it is a career path with extreme growth potential. In fact, it is predicted that the industry is expected to grow tremendously by the year 2025.
In this program, students learn about different techniques and software required to work as big data engineers. Our course also teaches ingestion performance, database management system use, data replication and modeling, among other essentials. Students learn all about Spark ML, Impala, Scala, MongoDB, Pig, Flume, Advanced Architecture, Data Model Creation, Hive, and others.
What skills do students learn from our big data engineer training in Sydney?
After starting our big data engineer training in Sydney, you’ll learn the fundamentals of the Hadoop ecosystem, a key concept of big data engineering. You’ll also learn MapReduce, Pig, Sqoop, Impala, HBase, and others. When students complete our big data engineer training in Sydney, they can:
- Leverage big data insights to effectively create business plans, in addition to understanding how big data is processed on systems that oversee its velocity, volume, variety, and veracity
- Process big data with Amazon EMR and Hadoop ecosystem tools
- Comprehend big data processing in real-time using Amazon Kinesis
- Recognize AWS terms, techniques, benefits, and implementation needed to effectively meet organization needs
- Comprehend NoSQL and MongoDB, including mastering data modeling, query, ingestion, sharding, and data replication
- Understand the basics of the Scala language, plus its development tools and process
- Know how Kafka can be leveraged for possible real-world situations, plus its features and architecture, plus how to connect Kafka to Spark using Kafka Connect
- Use Kinesis Streams for big data analysis and transformation
- Effectively use different features of the Hadoop ecosystem, such as Flume, Oozie, Yarn, Impala, and MapReduce
- Use Amazon QuickSight for data visualization and query performance
What are the benefits of pursuing a career in big data engineering?
Big data engineers work on the development and maintenance of analytics infrastructures. This includes the inception and monitoring of architecture components and databases. With the dependence on big data anticipated to grow substantially by the year 2025, pursuing a career in big data engineering can be a good choice if you’re looking for an industry that promises stability and opportunities. Big data engineers work all around the world in different industries, and from small businesses to large corporations.
If you are trying to decide on a career path that typically pays a higher salary than the national average, working as a big data engineer can be a great choice. Glassdoor reports that on average, big data engineers earn $137,776 yearly.
If you’re ready to fast-track your new career in big data engineering, get started by applying for our big data engineer training in Sydney.
Tools Covered
Big Data Engineer Course Advisor
Ronald van Loon
Top 10 Big Data and Data Science Influencer, Director - AdversitementNamed 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.
Big Data Engineer Certification Learning Path
- Course 1
Big Data for Data Engineering
Read MoreThis introductory 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 extract valuable information from them.
- Course 2Online Classroom Flexi Pass
Big Data Hadoop and Spark Developer
Read MoreOur Big Data Hadoop certification training course lets you master the concepts of the Hadoop framework, Big Data tools, and methodologies to prepare you for success in your role as a Big Data Developer. Learn how various components of the Hadoop ecosystem fit into the Big Data processing lifecycle.
Powered by - Course 3
PySpark Training Course
Read MoreGet 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.
- Course 4
Apache Kafka
Read MoreLearn to process huge amounts of data using different tools and empower your organization to better leverage Big Data analytics with the Apache Kafka certification course.
- Course 5Online Classroom Flexi Pass
MongoDB Developer and Administrator
Read MoreMore businesses are using MongoDB development services, the most popular NoSQL database, to handle their increasing data storage and handling demands. The MongoDB certification course equips you with the skills required to become a MongoDB Developer.
- Course 6Online Classroom Flexi Pass
AWS Big Data Certification Training
Read MoreThe AWS Big Data certification training prepares you for all aspects of hosting big data and performing distributed processing on the AWS platform and has been aligned to the AWS Certified Data Analytics – Specialty exam. This course is developed by industry leaders and aligned with the latest best practices.
- Course 7Online Classroom Flexi Pass
Big Data Capstone
Read MoreSimplilearn’s Big Data Capstone project will give you an opportunity to implement the skills you learned in the Big Data Engineer certification 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.
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
Earn your certificate
Our Big Data Engineer Masters 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 Big Data skills you've gained working on projects, simulations, case studies will set you ahead of competition.
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Big Data Engineer Course Reviews
Bob Hays
Founder at Selwyn Web Design, Little RockI 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
Senior Consultant at Capgemini, BangaloreSimplilearn's course has helped me advance from Senior Software Engineer to Senior Java Hadoop Developer with a 30% hike in salary.
Md Azhar Hussain
BangaloreThis 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
Lead Consultant at Anantara Solutions, BangaloreSimplilearn 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.
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
FAQs
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 courses developed in collaboration with IBM will give you insights into the Hadoop ecosystem, Big 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 program will train you on Big Data and Hadoop, 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 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 program
- 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 learning path.
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
Find Big Data Programs in Sydney
Big Data Hadoop and Spark DeveloperMongoDB Developer and AdministratorAWS Big Data Certification Training- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.