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The data engineer course in Kuala Lumpur primarily focuses on using the Hadoop framework for distributed processing, Spark for large-scale processing of data, and AWS, along with Azure cloud infrastructures for processing data. On completing this data engineer course in Kuala Lumpur, you equip yourself for a career in data engineering.
This Post Graduate Program in Data Engineering in partnership with Purdue University leverages Purdue’s academic excellence in Data Engineering & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.
Fast track your career as a Data Engineering professional with our Post Graduate Program in Data Engineering. This program covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Kinesis, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.
Get started with the Post Graduate Program in Data Engineering in partnership with Purdue University and explore the basics of the program. Kick-start your journey with preparatory courses on Data Engineering with Scala and Hadoop, and Big Data for Data Engineering.
With this Data Engineering Bootcamp, you will gain insights into how to improve business productivity by processing large volumes of data and extracting valuable information.
Data Engineering Bootcamp covers how to navigate the AWS management console; understand AWS security measures, storage, and database options; and gain expertise in web services like RDS and EBS.
With Data Engineering Bootcamp you will become familiar with the Amazon Web Services (AWS) cloud platform, including Kinesis Analytics, and AWS big data storage, processing, analysis, visualization, and security services.
With Data Engineering Bootcamp, you will learn to create the most common Azure services, including virtual machines, web apps, and SQL databases. Learn the key features of Azure Active Directory and the methods of integrating the cloud service with on-premises Active Directory.
Data Engineering Bootcamp covers the implementation of data solutions; manage and develop data processing; and monitor and optimize data solutions using the following Azure services: Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
By the end of Data Engineering Bootcamp, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.
Data Engineering Bootcamp helps learners to activate their knowledge of Python for Data Science and familiarize themselves with programming through this introductory course (carefully crafted by IBM).
Data Engineering Bootcamp helps you understand how to build and implement data-intensive applications as you dive into the world of high-performance machine learning.
Throughout this Data Engineering Bootcamp, you will learn the basics of Apache as a centralized service and develop the skills to deploy Kafka for real-time messaging.
At the end of Data Engineering Bootcamp, you will master the skills of data modeling, ingestion, querying, sharding, and replication.
This Data Engineering Bootcamp syllabus includes Google Cloud Platform Development Essentials.
If you’re looking to master web application development for virtually any computing platform, this Java Certification Training course is for you. This training course will give you a firm foundation in Java, the most commonly used programming language in software development.
Industry Master Class – Data Engineering
Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.
Help Facebook implement a continuous monitoring system that detects sentiment changes in a social media feed to respond to the sentiment in near real time.
Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.
Perform Data Analysis to determine features and relationships impacting employee satisfaction and derive actionable insights utilizing Glassdoor data sets
Launch new digital marketing campaigns for various categories for different brands to come up with a new Christmas deal for Amazon
analyze road traffic and accidents and also the weather data and derive valuable insights for an Insurance Company
Use a big data stack to make sure all existing and new objects from S3 buckets are replicated successfully and without any failures.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
The global big data and data engineering services market is expected to grow from USD 130.7 billion in 2020 to USD 234.6 billion by 2025, at a CAGR of 10.2% (Source: Global Industry Analytics Inc)
Expected New Jobs For Data Analytics And Science Related Roles
YOY Growth For Data Engineer Positions
Average Annual Salary
This Data Engineering certification course caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
Candidates can apply to this certification bootcamp in Data Engineering in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Tell us why you’d want to do this Data Engineering certification training
An admission panel will shortlist candidates based on their application
Selected candidates can begin the Data Engineering course within 1-2 weeks
For admission to this Post Graduate Program in Data Engineering, candidates should have:
The admission fee for this Data Engineering certification bootcamp is $ 2,674. It covers applicable program charges and the Purdue Alumni Association membership fee.
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Data Engineering is an aspect of Data Science focused on the practical application of data collection and data pipelining. A Data Engineer builds and maintains the organization’s data pipeline systems by cleaning and wrangling it to ensure the data used is reliable.
For admission to this Post Graduate Program in Data Engineering in Malaysia, candidates need:
The admission process consists of three simple steps:
To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Post Graduate Program in Data Engineering in Malaysia is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of this program in Malaysia, you will be awarded a Post Graduate Program in Data Engineering certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path.
The average salary earned on completing the data engineering training in Kuala Lumpur is around RM 48,721. Data engineers frequently work in groups and office settings. Data engineers are in charge of converting computer algorithms into prototype code and preserving, organizing, and finding patterns in massive data sets.
Companies such as USAA, I2U Systems Inc, MSYS Inc, Buxton Consulting, Optello, and others hire data engineers with their Kuala Lumpur data engineering training. SQL database design, process documentation, communication skills, and working both individually and in groups are all expected talents of a data engineer.
Kuala Lumpur is a developed and heavily inhabited city. Kuala Lumpur's few primary sectors are electrical, electronics, optics, financial and insurance services, health and medical services, and oil and gas. Individuals who complete the data engineering course in Kuala Lumpur will have numerous opportunities to work with fast-growing sectors and companies.
A Data Engineer should know computer coding languages such as Python, Java, Kafka, Hive, and Storm. Data engineering training in Kuala Lumpur is necessary to oversee real-time business metric aggregation, data warehousing, querying, schema, data administration, and other responsibilities. Other abilities required include creating reports, dashboards, and tools for business users.
The most convenient way to locate a data engineering course in Kuala Lumpur is to look for online programs and institutions that provide such instruction. Before you begin, make sure you are familiar with the entire course format, fees, and level of education. Choose an academy in Kuala Lumpur that offers data engineer training with real-world experience.
Yes, you can join the data engineering training program even if you do not belong to a technical background. However, having a good hand at object-oriented programming languages will be beneficial.
Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enrol in this Data Engineering certification course.
We have a team of dedicated admissions counselors who can guide you as you apply for this Data Engineering training.
Learning new skills and expanding your knowledge is always a plus point. Simplilearn's Data Engineering course is developed in partnership with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes data engineering bootcamp just the right one for you!
Data has taken the world by storm and the more data-driven you’re, the more beneficial it is for your organization. By taking insights from data, you can make meaningful decisions, plan strategies, and help your business achieve its goal faster. Enrolling in this extensive Data Engineering course is only going to be an advantage.
You will get a Purdue Alumni Association Membership.
Once you make the first installment of the program fee, you will also get access to a Data Engineering courses with eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned course before attending the first class.
Yes, you can enroll in the Data Engineering Bootcamp even if you don’t have any prior knowledge in Data Engineering since this bootcamp will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Engineering skills.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Engineering on your first attempt. They proactively engage students to assure they’re following the course path and help enrich their learning experience, from class onboarding to project mentoring and job assistance.
Our highly qualified Data Engineering instructors 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 part of our faculty.
Yes, you can access the Data Engineering course content even after the completion of the program.
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
We offer 24/7 support through email, chat, and telephone. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Engineering bootcamp.
Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.
Post Graduate Program in Data Engineering is offered on a non-credit basis and is not transferable to a degree.
Simplilearn’s PGP in Data Engineering helps you learn all the concepts from scratch. The instructors are highly qualified and know what skills do employers seek when hiring for data engineering positions. They take you through crucial topics like the Hadoop framework, data processing with Spark, and Big Data on AWS with ease and you can follow them at your convenience.
There are only a few courses in the market that offer a university degree along with industrial exposure through a renowned tech company. This Data Engineering bootcamp is packed with industry projects, masterclass and hackathons by IBM, capstone projects, along with job assistance.
You can dedicate around 5 to 10 hours per week to complete this data engineering certification in 8 months. You can also change the study plan as per convenience.
There are no specific system requirements for this PGP in Data Engineering Bootcamp. A working system connected to the internet is enough to access the course materials.
There are many skills employers seek for a data engineer position. You need to study about core math concepts, big data tools and techniques, data pipelines, data warehousing, data cleaning, Hadoop, basic programming, and Apache Spark to become a Data Engineer. Our Data Engineering certification bootcamp covers all of these areas in detail.
Data Engineers command lucrative salaries across the world. They earn an average annual salary of Rs. 830K in India, £43,725 in the UK, $116,591 in the US, CA $80K in Canada, and AU$ 103,346 in Australia.
Capstone projects are now a part of every reliable online training program. They basically help individuals to reinforce their practical learning. Such projects involve real-world problems and individuals work on real-world data sets with virtual labs to gain hands-on learning experience and become job-ready.
Malaysia's capital and federal territory, Kuala Lumpur, is spread over 243 km2 with a population of 1.73 million people in 2016. It is Malaysia's largest city with a tropical rainforest climate. According to the Economist Intelligence Unit's Global Liveability Ranking, Kuala Lumpur is ranked No. 70 globally and No. 2 in Southeast Asia behind Singapore.
Kuala Lumpur has been named the World Book Capital for 2020 by UNESCO. Kuala Lumpur is the cultural, financial, and economic capital of Malaysia. Three of the top ten retail malls in the world are located in the city. In 2019, the city's GDP was RM 244,210 million. Kuala Lumpur is one of the world's most popular tourist and shopping destinations, ranking as the world's sixth most visited city in 2019.
Kuala Lumpur is recognized for its ability to welcome visitors from all around the world. The city is ideal for those who want to spend their holiday's tranquility due to its excellent living amenities and public transportation. Historical sites, exhilarating adventure zones, religious sites, and serene parks may all be found in Kuala Lumpur. The most significant are as follows:
Unit 3201, Level 32, Tower B, The Vertical Corporate Towers Avenue 10, Bangsar, No.8, Jalan Kerinchi 59200 Kuala Lumpur Malaysia