Building Streaming Data Analytics Solutions on AWS Course in Dubai

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.

Our Trainers

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

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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.

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Frequently asked questions

The Building Streaming Data Analytics Solutions on AWS course in Dubai offers specialized training in designing and implementing real-time streaming data solutions using AWS services like Kinesis and MSK. It covers key topics such as building scalable data pipelines, stream processing with Apache Flink, securing data streams, and optimizing pipeline performance.

By the end of this course, students will be equipped to handle real-world data analytics challenges and will be prepared for AWS certification, boosting their career prospects in cloud computing and data analytics.

We recommend that attendees** have at least one year of data analytics experience** or direct experience building real-time applications or streaming analytics solutions. To ensure you have a solid foundation, we suggest reading the Streaming Data Solutions on AWS whitepaper for a refresher on streaming concepts.

Additionally, candidates should have completed courses like Architecting on AWS or Data Analytics Fundamentals, as well as the Building Data Lakes on AWS course, to ensure they are prepared for the course material.

This Building Streaming Data Analytics Solutions on AWS course in Dubai is globally recognized, particularly in regions like Dubai and the UAE, where the demand for cloud computing and data analytics professionals is on the rise. The certification is widely respected by employers in the cloud and data analytics industries, making it an excellent credential to enhance your professional profile and career prospects.

Career benefits of completing the Building Streaming Data Analytics Solutions on AWS course:

Expanded job opportunities in high-demand cloud and data analytics roles
Career versatility with roles like Data Engineer, Cloud Architect, and Data Analyst
Competitive advantage with AWS certification, boosting professional credibility
Higher earning potential due to specialized AWS skills in real-time data analytics
Career growth leading to senior and leadership roles in data and cloud industries
Industry recognition with a globally respected AWS certification

The course covers tools like AWS Kinesis, MSK (Managed Streaming for Apache Kafka), and Apache Flink for stream processing. Students will also learn about AWS services for building and managing scalable, real-time data pipelines and best practices for securing, monitoring, and optimizing these pipelines.

The course is designed with working professionals in mind, offering flexible learning options like live sessions and recorded lessons. It enables you to apply your learning in real-world situations, making it easier to integrate the concepts into your current job. The skills learned can lead to job promotions and career transitions in cloud computing and data analytics.

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