Building Streaming Data Analytics Solutions on AWS Course in Netherlands
Learn to build cutting-edge streaming solutions with AWS Kinesis and MSK
Gain practical skills by working on real-time data streaming projects
Position yourself for top roles in data engineering and analytics
Get guided by AWS-certified professionals with real-world experience
Study at your own pace with both live and self-paced formats
Stand out with a highly sought-after AWS certification in streaming data analytics
Convenient and hassle-free payment plans
4.7/53655 EnrolledEnrolled Learners
4.7/53655 EnrolledEnrolled Learners
Overview
What our training includes:
- Provides hands-on experience with AWS Kinesis and MSK
- Offers in-depth training on Apache Flink
- Develops expertise in designing scalable streaming data architectures
- Prepares you to secure, monitor, and optimize streaming data
- Provides practical applications for real-time analytics solutions
- Prepares you for AWS certification in streaming data analytics
Upcoming sessions
Curriculum
1
Data analytics use cases
2
Using the data pipeline for analytics
1
The importance of streaming data analytics
2
The streaming data analytics pipeline
3
Streaming concepts
1
Streaming data services in AWS
2
Amazon Kinesis in analytics solutions
3
Demonstration: Explore Amazon Kinesis Data Streams
4
Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis
5
Using Amazon Kinesis Data Analytics
6
Introduction to Amazon MSK
7
Overview of Spark Streaming
1
Exploring Amazon Kinesis using a clickstream workload
2
Creating Kinesis data and delivery streams
3
Demonstration: Understanding producers and consumers
4
Building stream producers
5
Building stream consumers
6
Building and deploying Flink applications in Kinesis Data Analytics
7
Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics
8
Practice Lab: Streaming analytics with Amazon Kinesis Data
9
Analytics and Apache Flink
1
Optimize Amazon Kinesis to gain actionable business insights
2
Security and monitoring best practices
1
Use cases for Amazon MSK
2
Creating MSK clusters
3
Demonstration: Provisioning an MSK Cluster
4
Ingesting data into Amazon MSK
5
Practice Lab: Introduction to access control with Amazon MSK
6
Transforming and processing in Amazon MSK
1
Optimizing Amazon MSK
2
Demonstration: Scaling up Amazon MSK storage
3
Practice Lab: Amazon MSK streaming pipeline and application deployment
4
Security and monitoring
5
Demonstration: Monitoring an MSK cluster
1
Use case review
2
Class Exercise: Designing a streaming data analytics workflow
1
Modern data architectures
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
Upon finishing the training, you will:
1
Learn to design and implement real-time data pipelines using AWS tools
2
Gain hands-on experience in building real-time analytics using Apache Flink
3
Create efficient, high-performance data pipelines capable of handling large data volumes
4
Understand security best practices and optimize streaming pipeline performance on AWS
5
Develop expertise in ingesting and processing real-time data using AWS services
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
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Frequently asked questions
Our Building Streaming Data Analytics Solutions on AWS course in the Netherlands offers expert instruction in designing and executing real-time data streaming solutions using AWS services like MSK and Kinesis. It covers important topics such as creating scalable data pipelines, using Apache Flink for stream processing, protecting data streams, and enhancing pipeline efficiency.
You will learn hands-on by developing real-time data streaming projects with AWS Kinesis and MSK. You will also implement scalable data pipelines, stream processing using Apache Flink, and performance optimizing of streaming data systems.
You can find numerous career opportunities after completing this course, including:
- Data Engineer: Develop and handle real-time data processing systems.
- Cloud Solutions Architect: Design cloud data infrastructure for organizations.
- Real-Time Data Analyst: Real-time analysis and interpretation of data streams to make decisions.
- Streaming Data Specialist: Work to optimize data pipelines and data flow management.
This course trains you for these jobs and enhances your credentials for leadership roles in data analytics and cloud computing.
While prior experience with AWS isn’t mandatory, it’s strongly recommended. Beginners may find the AWS ecosystem more approachable if they have completed introductory courses like AWS Technical Essentials or Architecting on AWS. If you’re new to AWS, this course will still provide a detailed and structured learning experience with hands-on labs.
You will undertake projects focused on creating real-time data streaming solutions, deploying and securing data pipelines, and optimizing performance for large-scale data streams. The projects will be based on simulated real-world applications and enable you to apply the principles you learn in a practical, hands-on way.
Our program stands out since it is specifically geared toward services that are applied to real-time data processing, like Kinesis, MSK, and Apache Flink. You will apply the skills by working on live projects, becoming familiar with tools that are essential for processing large-scale streaming data. Moreover, you will be taught by AWS-certified instructors with practical expertise.
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