Building Modern Data Analytics Solutions on AWS Course in Ethiopia
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
Easy and affordable instalment plans available
4.9/55498 EnrolledEnrolled Learners
4.9/55498 EnrolledEnrolled Learners
Overview
What will you learn from us:
- Administer data lakes efficiently with AWS Lake Formation
- Build analytics workflows using Amazon EMR
- Execute batch data processing with Apache Spark on EMR
- Manage real-time data ingestion and processing through Amazon Kinesis
- Enhance security measures in Amazon Redshift for data analytics
- Utilize AWS Glue for scalable and flexible data management
- Architect streaming data solutions with 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
We take immense pride in our skilled instructors and trainers who excel in their chosen fields. Our trainers are globally recognised for their expertise and experience.Learners Point adopts a data driven research approach to learning so the experience is highly customizable and thoroughly engaging for learners from all walks of life. The sessions are classroom-based and led by an instructor. For those who seek more flexibility, we also offer high quality live and interactive sessions online.
Learning Outcomes
After you complete this training, you will be able to:
1
Gain expertise in AWS Lake Formation to build secure, scalable, and well-managed data lakes in the cloud
2
Develop high-performance data analytics pipelines by using the full potential of Amazon EMR
3
Acquire hands-on experience with Apache Spark for executing large-scale batch data processing tasks
4
Implement real-time data streaming and analytics solutions using the capabilities of Amazon Kinesis
5
Create scalable and reliable data warehousing architectures with advanced Amazon Redshift functionalities
6
Use AWS Glue to efficiently manage, secure, and optimize data storage and ETL processes
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
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Frequently asked questions
Our Building Modern Data Analytics Solutions on AWS course in Ethiopia helps learners build modern, high-performing data analytics solutions using key AWS tools. We cover essential services like Amazon Redshift, AWS Glue, Amazon Kinesis, Amazon S3, and AWS Lake Formation. Participants learn to design, manage, and implement powerful data pipelines and analytics systems entirely on the AWS cloud platform.
This course is ideal for professionals who want to grow their cloud and data skills. We welcome data engineers, analysts, cloud architects, BI professionals, and developers aiming to build AWS-based analytics solutions. Learners working with big data or exploring cloud technologies benefit the most, as we focus on real-world, job-ready cloud data applications.
Our training dives deep into AWS data services and how to use them for end-to-end analytics. Students learn data storage using Amazon S3, build data lakes with AWS Lake Formation, and explore real-time data ingestion using Amazon Kinesis. We also teach ETL processes using AWS Glue and batch processing via EMR, while covering analytics, reporting, and cost optimization.
Our Building Modern Data Analytics Solutions on AWS course in Ethiopia gives learners a major edge in the fast-growing cloud and analytics industry. By mastering AWS tools, students can pursue high-demand roles like Data Engineer, Cloud Architect, or BI Developer. With hands-on experience in building scalable data solutions, participants are ready to meet the data needs of businesses across various industries adopting AWS technologies.
Yes, we award a certificate of completion once learners finish the course successfully. This certification confirms their knowledge of AWS-based data analytics and adds value to their resumes and professional profiles. It demonstrates the ability to build cloud-native analytics solutions, helping our students stand out in job applications and professional growth opportunities.
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