Building Modern Data Analytics Solutions on AWS Course in Dubai
Master modern data architectures with hands-on AWS tools
32 hours of expert-led training sessions
Four intermediate-level AWS course options to explore
Learn from AWS-certified instructors with real-world expertise
Access to expert-led lessons, labs and case studies
Flexible learning options to fit your schedule & learning style
Various payment methods with instalment plans available
4.9/55748 EnrolledEnrolled Learners
4.9/55748 EnrolledEnrolled Learners
Overview
What our training includes:
- Manage data lakes using AWS Lake Formation
- Develop analytics pipelines with Amazon EMR
- Run batch data analysis via Apache Spark on EMR
- Handle real-time data using Amazon Kinesis
- Optimise Redshift security for data analytics
- Use AWS Glue for scalable data storage
- Design streaming solutions using Amazon MSK
Upcoming sessions
Curriculum
1
Introduction to Data Lakes
2
Data ingestion, cataloging and preparation
3
Building a Data Lake with AWS Lake formation
4
Data processing and analysis
5
Additional Lake formation configurations
6
Modern data architecture
1
Overview of Data Analytics and the Data Pipeline
2
Introduction to Amazon EMR
3
Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
4
High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
5
Processing and Analysing Batch Data with Amazon EMR and Apache Hive
6
Serverless Data Processing
7
Security and Monitoring of Amazon EMR Clusters
8
Designing Batch Data Analytics Solutions
9
Developing Modern Data Architectures on AWS
1
Overview of Data Analytics and the Data Pipeline
2
Using Amazon Redshift in the Data Analytics Pipeline
3
Introduction to Amazon Redshift
4
Ingestion and Storage
5
Processing and Optimizing Data
6
Security and Monitoring of Amazon Redshift Clusters
7
Designing Data Warehouse Analytics Solutions
8
Developing Modern Data Architectures on AWS
1
Overview of Data Analytics and the Data Pipeline
2
Using Streaming Services in the Data Analytics Pipeline
3
Introduction to AWS Streaming Services
4
Using Amazon Kinesis for Real-time Data Analytics
5
Securing, Monitoring and Optimizing Amazon Kinesis
6
Using Amazon MSK in Streaming Data Analytics Solutions
7
Securing, Monitoring and Optimizing Amazon MSK
8
Designing Streaming Data Analytics Solutions
9
Developing Modern Data Architectures on AWS
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After you complete this training, you will be able to:
1
Learn AWS Lake Formation to create secure, scalable and well-governed cloud-based data lakes
2
Build efficient, high-performance data analytics pipelines utilising the full capabilities of Amazon EMR
3
Get practical experience using Apache Spark for processing large-scale batch data analytics workflows
4
Set up real-time data streaming and analytics applications using powerful Amazon Kinesis tools
5
Design robust and scalable data warehousing solutions with advanced features of Amazon Redshift
6
Enhance, secure and manage data storage and ETL workflows effectively using AWS Glue services
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
To enrol in the Building Modern Data Analytics Solutions on AWS Course in Dubai, we recommend that you fulfil these eligibility requirements:
- Understanding of relational databases and data warehousing basics
- Previous experience with data analytics tools and techniques
- Hands-on knowledge of core AWS services like S3, EC2 and IAM
- Basic skills in scripting languages, such as Python
- Familiarity with ETL (Extract, Transform, Load) workflows and data preparation techniques
- Knowing the basics of networking, including VPC, subnets and security groups
Overall ratings by our students
Related courses
Frequently asked questions
The Building Modern Data Analytics Solutions on AWS Course in Dubai offers a hands-on training experience designed to help you design, build and manage modern data analytics pipelines using AWS cloud services.
It is a collection of of four intermediate-level core AWS courses for the individuals to select according to their choice. Our course is suited for data professionals and cloud engineers to utilise AWS for large-scale data analytics projects.
By enrolling in this program, you will gain a strong blend of skills that are in high demand in today’s cloud-first data environments. These skills are:
1. Data Lake architecture & management
2. Data integration & ETL pipelines
3. Real-time data processing
4. Big data processing with Apache Spark
5. Data warehousing & analytics
6. Data governance & security
The Building Modern Data Analytics Solutions on AWS Course in the UAE is ideal for a wide range of professionals who want to develop or enhance their cloud-based data analytics skills. The ideal candidates are:
1. Data Engineers & Data Analysts
2. Cloud Architects & Solution Designers
3. BI Developers & Data Scientists
4. IT Professionals & System Administrators
5. Individuals preparing for AWS Certifications
The demand for AWS-certified professionals in the UAE is consistently high and growing rapidly, driven by the country's aggressive digital transformation goals, widespread cloud adoption and smart city initiatives.
If you are AWS-certified, with certifications like Cloud Practitioner, Solutions Architect Associate, or Big Data Analytics, you are well-positioned to secure high-impact roles in both government and private sectors across the UAE.
The Building Modern Data Analytics Solutions on AWS Course in Dubai stands out from other data analytics courses due to its cloud-first approach, focus on real-world AWS services and industry relevance in the UAE job market.
While many data analytics courses in UAE focus on traditional BI tools or on-premise solutions, our AWS course prepares you for cloud-native analytics, which is rapidly becoming the industry standard.
Yes, our AWS training moves you beyond dashboards into building secure, scalable analytics pipelines with hands-on use of AWS Glue, Kinesis, and Redshift. Our students learn to support enterprise-level cloud analytics strategies for their clients.
You can surely join our Building Modern Data Analytics Solutions on AWS Course if you understand basic programming and data concepts. This course gives you the practical experience to start a career as a Junior Data Engineer or Cloud Analyst, especially in companies adopting AWS.
Do you want to learn more about Learners Point Academy?
- Learn more about courses
- Understand about our methodology
- Let’s talk about Corporate trainings
- Anything else that you want to know, we are here for you!
