Building Modern Data Analytics Solutions on AWS Course in Saudi Arabia
32 hours of instructor-led training sessions
Master Glue, EMR, Redshift, and Lake Formation pipelines
Learn from AWS-certified instructors with industry project experience
Access to expert-led lessons, labs, & case studies
Live online, classroom, or weekend session with easy instalments
4.9/56096 EnrolledEnrolled Learners
4.9/56096 EnrolledEnrolled Learners
Overview
What our training includes:
- Learn to build secure data lakes with AWS Lake Formation
- Process big data using Apache Spark on Amazon EMR clusters
- Perform batch data analytics using Amazon EMR and Apache Hive
- Build real-time analytics pipelines with Amazon Kinesis and MSK
- Design data warehouse solutions using Amazon Redshift and Spectrum
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
Successful completion of the Data Analytics Solutions on AWS course in Riyadh will help professionals in the following ways:
1
Build and secure data lakes using AWS Lake Formation and Glue cataloging tools
2
Run batch data analytics using Amazon EMR, Apache Spark, and Apache Hive
3
Design optimized Redshift data warehouses with Spectrum and materialized views
4
Stream real-time analytics with Amazon Kinesis Data Streams and Amazon MSK
5
Implement serverless data processing strategies using AWS-native 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, 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 KSA teaches professionals how to design and manage data analytics systems using key AWS services. It includes training on storing, processing, and analyzing data, with a focus on both batch and real-time streaming solutions. In Saudi Arabia, this course is available through several training providers and typically includes hands-on labs to help learners apply their skills in real-world scenarios.
The course modules covered in this training on AWS are as follows:
- Building Data Lakes on AWS
- Building Batch Data Analytics Solutions on AWS
- Building Data Analytics Solutions using Amazon Redshift
- Building Streaming Data Analytics Solutions on AWS
The professionals who are eligible for the training program in Riyadh are as follows:
- AWS Developer
- IT Consultant
- Cloud Architect
- Data Scientist
- Data Analyst
The tools professionals will learn after completing the Modern Data Analytics Solutions on AWS training are as follows:
- Amazon Glue
- EMR
- Redshift
- Kinesis
- MSK
- Lake Formation
- Apache Spark
- Apache Hive
- AWS CloudWatch
Yes, your dev skills are a great foundation. This course will help you shift into data engineering roles by teaching you how to ingest, transform, and analyse data using AWS Glue, EMR, and Redshift.
Yes, the Building Modern Data Analytics Solutions on AWS certification is valued around the world. It shows that you have strong skills in using AWS tools to build and manage cloud-based data solutions. Employers across different industries look for certified professionals who can work with big data, create secure pipelines, and handle real-time analytics.
Key reasons to choose Learners Point for Building Modern Data Analytics Solutions on AWS are as follows:
- Customised Training Options
- Mentorship by Industry Experts
- Continuous Learning Support
- Doubt-Clearing Sessions
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