Building Modern Data Analytics Solutions on AWS Course in Netherlands
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
4.9/54.9/5Overview
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
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
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
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Frequently asked questions
The four main AWS courses that make up the Building Modern Data Analytics Systems on AWS course in the Netherlands will help you 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.
Yes, obtaining this certification can greatly aid in advancing your career. It confirms your skills at designing and developing modern data analytics solutions on AWS, preparing you for advancements to higher-level positions in data analytics or cloud architecture.
The need for data analytics professionals who are AWS-certified is increasing in the Netherlands. Finance, health care, and technology firms are looking for people with skills to handle and analyze data, making the qualification extremely worthwhile for Dutch job seekers.
In this module, you'll discover how to architect data warehousing solutions with Amazon Redshift, such as how to handle data ingestion, storage, processing, and optimization for high-performance analytics.
AWS certification can make you more distinguishable in the face of a competitive job market. AWS certification indicates to employers that you have the technical expertise to process and analyze big data, work with real-time and batch data analysis, and enhance data pipelines utilizing AWS services.
AWS certifications last for three years. To stay certified, experts have to renew their credentials by going through AWS's recertification process, which requires refreshing your familiarity with the newest AWS services and tools.
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