Building Modern Data Analytics Solutions on AWS Course in Oman
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
Convenient payment plans available
4.9/54.9/5Overview
What you will master with us:
- Manage and secure data lakes using AWS Lake Formation
- Develop data analytics pipelines using Amazon EMR
- Perform large-scale batch processing with Apache Spark on EMR
- Handle real-time data streams using Amazon Kinesis
- Strengthen data security and compliance in Amazon Redshift
- Master AWS Glue for efficient, scalable data integration
- Design and implement streaming architectures with Amazon MSK
Upcoming sessions
Curriculum
Introduction to Data Lakes
Data ingestion, cataloging and preparation
Building a Data Lake with AWS Lake formation
Data processing and analysis
Additional Lake formation configurations
Modern data architecture
Overview of Data Analytics and the Data Pipeline
Introduction to Amazon EMR
Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
Processing and Analysing Batch Data with Amazon EMR and Apache Hive
Serverless Data Processing
Security and Monitoring of Amazon EMR Clusters
Designing Batch Data Analytics Solutions
Developing Modern Data Architectures on AWS
Overview of Data Analytics and the Data Pipeline
Using Amazon Redshift in the Data Analytics Pipeline
Introduction to Amazon Redshift
Ingestion and Storage
Processing and Optimizing Data
Security and Monitoring of Amazon Redshift Clusters
Designing Data Warehouse Analytics Solutions
Developing Modern Data Architectures on AWS
Overview of Data Analytics and the Data Pipeline
Using Streaming Services in the Data Analytics Pipeline
Introduction to AWS Streaming Services
Using Amazon Kinesis for Real-time Data Analytics
Securing, Monitoring and Optimizing Amazon Kinesis
Using Amazon MSK in Streaming Data Analytics Solutions
Securing, Monitoring and Optimizing Amazon MSK
Designing Streaming Data Analytics Solutions
Developing Modern Data Architectures on AWS
Meet your Trainer
Our Trainers
We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.
Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.
Learning Outcomes
After you complete this training, you will be able to:
1
Master AWS Lake Formation to design secure, scalable, and well-governed cloud data lakes
2
Build powerful data analytics pipelines by fully using Amazon EMR's capabilities
3
Gain practical skills in large-scale batch data processing using Apache Spark
4
Develop real-time data streaming and analytics applications with Amazon Kinesis
5
Design dependable and scalable data warehouse solutions using advanced features of Amazon Redshift
6
Effectively manage, secure, and streamline data storage and ETL operations with AWS Glue
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, 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
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Frequently asked questions
Our Building Modern Data Analytics Solutions on AWS course in Oman provides learners with the skills to build efficient, modern data analytics solutions using essential AWS tools. We provide in-depth training on services like Amazon Redshift, AWS Glue, Amazon Kinesis, Amazon S3, and AWS Lake Formation. Participants learn how to design, develop, and manage powerful cloud-based data pipelines and analytics systems on AWS.
This course is perfect for professionals in Oman who are looking to enhance their cloud and data expertise. We welcome data engineers, cloud architects, BI professionals, data analysts, and developers interested in building analytics solutions with AWS. It is especially valuable for those working with big data or planning to advance in cloud technology roles.
In this training, participants explore a wide range of AWS data services used to build complete analytics solutions. We cover data storage using Amazon S3, data lakes with AWS Lake Formation, and real-time data ingestion using Amazon Kinesis. Students also learn about ETL using AWS Glue, batch processing with Amazon EMR, and techniques for data analysis, visualization, and cost optimization.
Our Building Modern Data Analytics Solutions on AWS course in Oman gives learners a competitive advantage in the country’s rapidly growing cloud and data analytics market. Mastering AWS tools opens doors to in-demand roles like Data Engineer, BI Developer, and Cloud Architect. With hands-on training, students are prepared to deliver scalable, secure data solutions that meet real business needs.
Yes, we provide a certificate of completion to all participants who successfully finish the course. This certification validates their skills in AWS-based data analytics and strengthens their professional profiles. It showcases their ability to build cloud-native analytics solutions. We help you stand out when pursuing new career opportunities or advancing within your current roles.
Yes, we teach tools like Kinesis (for real-time data) and Redshift (for warehousing) which are widely used in logistics for tracking, forecasting, and data optimisation. Participants learn how to apply AWS analytics tools to any data-heavy industry.
After gaining this Building Modern Data Analytics Solutions on AWS cetification, you become eligible for these job roles:
- Data Engineer
- Cloud Data Engineer
- Data Analyst
- Analytics Consultant
- Streaming Data Engineer
- Cloud Solutions Architect
- ETL Developer
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