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KHDA

Building Streaming Data Analytics Solutions on AWS Course in Australia

Learn to build cutting-edge streaming solutions with AWS Kinesis & MSK

Attain practical skills by working on real-time data streaming projects

Prepare for top roles in data engineering & analytics

Guidance from AWS-certified professionals with real-world experience

Study at your own pace with both live & self-paced formats

Stand out with AWS certification in streaming data analytics

Convenient & hassle-free payment plans

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Overview

What we are going to teach you:

  • Delivers applied experience with AWS tools like Kinesis & MSK
  • Offers focused learning on Apache Flink & its role in stream analytics
  • Builds your ability to develop high-throughput, scalable architectures
  • Trains you to ensure data pipeline security & operational efficiency
  • Provides scenarios that simulate real-time business data needs
  • Prepares you for certification in AWS streaming data solutions

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

    Design real-time streaming pipelines with AWS tools

  • 2

    Apply Apache Flink for real-time analytics use cases

  • 3

    Handle large data volumes through efficient architecture

  • 4

    Implement security and improve pipeline performance

  • 5

    Work with real-time data ingestion on AWS

  • 6

    Get ready for AWS certification in data analytics

  • objective-image

    Ready to get started?

  • 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.

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    Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

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    Overall ratings by our students

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    Frequently asked questions

    This Building Streaming Data Analytics Solutions on AWS course in Australia is all about teaching professionals to design, manage, and optimize real-time data pipelines using AWS services like Amazon Kinesis, Amazon MSK, and Apache Flink. You learn ways to design scalable streaming architectures, handle continuous data flows, and apply best practices in security and monitoring.

    This course is beneficial for professionals who work with real-time data or build cloud-based data solutions, like -

    • Data Engineers
    • Data Analysts
    • Cloud Architects
    • Solution Architects
    • DevOps Engineers
    • System Engineers
    • Software Developers working with streaming data
    • Those preparing for an AWS Data Analytics Certification

    This training is available in several flexible modes for convenient learning, like

    • Instructor-led group sessions
    • Personalized one-on-one training
    • Live interactive online classes

    The course is divided into modules, with each module covering a specific topic in detail. The following are the major topics discussed in the course -

    • 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

    In this Building Streaming Data Analytics Solutions on AWS Certification, professionals will work with tools like Amazon Kinesis, MSK, Apache Flink, and Zeppelin through hands-on lab activities.

    Do you want to learn more about Learners Point Academy?

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