Building Modern Data Analytics Solutions on AWS Course in Bahrain
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, & case studies
Flexible learning options to fit your schedule & learning style
Various payment methods with instalment plans available
4.9/56096 EnrolledEnrolled Learners
4.9/56096 EnrolledEnrolled Learners
Overview
What you will master with us:
- Build and manage data lakes with AWS Lake Formation
- Create big data workflows using Amazon EMR solutions
- Run batch analytics with Spark on Amazon EMR clusters
- Process fast-moving data streams using Amazon Kinesis
- Optimize and protect analytics on Amazon Redshift clusters
- Use AWS Glue to organize and scale data storage efficiently
- Architect low-latency streaming 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
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 to build secure & well-managed cloud data lakes using Lake Formation
2
Design efficient analytics pipelines using advanced tools in Amazon EMR
3
Attain practical skills using Apache Spark for processing large batch data sets
4
Create fast, live analytics solutions with high-speed streaming using Amazon Kinesis
5
Develop scalable, high-performance data warehouses using Amazon Redshift
6
Manage, secure, & simplify ETL workflows & storage with AWS Glue tools
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 enroll in the Building Modern Data Analytics Solutions on AWS course in Bahrain, 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
This Building Modern Data Analytics Solutions on AWS course in Bahrain is all about teaching professionals ways to create full-scale data analytics pipelines using AWS. You learn through practical training with tools like Amazon EMR, Redshift, Glue, Kinesis, Lake Formation, and MSK. You also explore modern data architectures and work with both batch and live data workflows.
Before enrolling in this course, fulfilling the following eligibility requirements is recommended -
- Basic knowledge of relational databases and data warehousing
- Prior experience with data analytics tools and methods
- Familiarity with AWS services like S3, EC2, and IAM
- Basic scripting skills in languages like Python
- Understanding of ETL processes and data preparation
- Awareness of networking basics like VPC, subnets, and security groups
This training covers serverless data processing using services like AWS Glue and Lambda. These tools help to automate tasks and manage scalable ETL workflows without provisioning servers.
In this Building Modern Data Analytics Solutions on AWS course in Bahrain, professionals get hands-on practice working with the following AWS tools -
- AWS Lake Formation
- Amazon EMR & Apache Spark
- Amazon Kinesis
- Amazon Redshift
- AWS Glue
- Amazon MSK
Yes, this program deepens your skills with real‑time streaming, performance tuning, and handling batch vs. streaming data together. You also get exposure to advanced tools like Glue, MSK, and Redshift clusters, which are valuable in designing end‑to‑end data architectures.
After earning this Building Modern Data Analytics Solutions on AWS Certification, professionals are eligible to apply for several high-demand roles, like -
- Data Engineer
- Cloud Data Analyst
- AWS Data Specialist
- Big Data Developer
- Analytics Consultant
Yes, this course starts with guided labs and examples which make learning approachable. You gain hands‑on exposure to AWS services like EMR, Redshift, Lake Formation, and Kinesis, building the foundational skills needed for junior data engineering or cloud analytics roles.
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