Building Modern Data Analytics Solutions on AWS Course in Kenya
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
4.9/56096 EnrolledEnrolled Learners
4.9/56096 EnrolledEnrolled Learners
Overview
What you will master with us:
- 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, 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 four main AWS courses that make up our Building Modern Data Analytics Systems on AWS course in Kenya help professionals design, develop, and oversee secure, scalable analytics systems that use AWS cloud-native services. We concentrate on effective data collection, archiving, processing, analysis, and visualization in a contemporary data environment.
Upon successful completion of the course, you can take up jobs like:
- Data Engineer
- Cloud Architect
- Cloud Consultant
- AWS Data Analyst
- Big Data Specialist
These jobs are in great demand within cloud services, finance, healthcare, and retail industries.
Our course features easy learning options, such as online learning, live lectures, and review classes. This is convenient for working professionals to combine their work duties with learning, thus being able to obtain the certification at their convenience.
Completing the course boosts your profile as an AWS-certified data analytics professional. You’ll be ready for roles like Data Engineer, Cloud Architect, Data Analyst, and Analytics Consultant, increasing your chances of securing high-paying jobs in data-driven industries globally.
Yes, AWS certifications are worldwide-recognized, and the same is true for this course. It gives credentials that are appreciated globally in industries such as tech, finance, healthcare, and retail.
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