Building Streaming Data Analytics Solutions on AWS Course in Bahrain

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

4.7/5

3617 EnrolledEnrolled Learners

4.7/5

3617 EnrolledEnrolled Learners

Overview

What you will learn:

Get hands-on experience with AWS Kinesis and MSK
Develop a solid understanding of Apache Flink
Learn to design scalable streaming data architectures
Master the concepts & techniques to secure, monitor, & optimise streaming data
Practical applications for real-time analytics solutions
Prepare for AWS certification in streaming data analytics

Upcoming sessions

Curriculum

Data analytics use cases

Using the data pipeline for analytics

The importance of streaming data analytics

The streaming data analytics pipeline

Streaming concepts

Streaming data services in AWS

Amazon Kinesis in analytics solutions

Demonstration: Explore Amazon Kinesis Data Streams

Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis

Using Amazon Kinesis Data Analytics

Introduction to Amazon MSK

Overview of Spark Streaming

Exploring Amazon Kinesis using a clickstream workload

Creating Kinesis data and delivery streams

Demonstration: Understanding producers and consumers

Building stream producers

Building stream consumers

Building and deploying Flink applications in Kinesis Data Analytics

Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics

Practice Lab: Streaming analytics with Amazon Kinesis Data

Analytics and Apache Flink

Optimize Amazon Kinesis to gain actionable business insights

Security and monitoring best practices

Use cases for Amazon MSK

Creating MSK clusters

Demonstration: Provisioning an MSK Cluster

Ingesting data into Amazon MSK

Practice Lab: Introduction to access control with Amazon MSK

Transforming and processing in Amazon MSK

Optimizing Amazon MSK

Demonstration: Scaling up Amazon MSK storage

Practice Lab: Amazon MSK streaming pipeline and application deployment

Security and monitoring

Demonstration: Monitoring an MSK cluster

Use case review

Class Exercise: Designing a streaming data analytics workflow

Modern data architectures

Meet your Trainer

Our Trainers

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Learning Outcomes

After completing the course, you will be able to:

Design and implement real-time data pipelines using AWS tools

Gain hands-on experience in building real-time analytics using Apache Flink

Create efficient, high-performance data pipelines capable of handling large data volumes

Learn security best practices and optimise streaming pipeline performance on AWS

Develop expertise in ingesting and processing real-time data using AWS services

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.

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 Bahrain focuses on building cutting-edge streaming solutions with AWS Kinesis and MSK. Students learn to deploy scalable data pipelines, stream processing with Apache Flink, secure data streams, and optimise pipeline performance. This is an important course for mastering the techniques to handle real-world data analytics challenges.

There are no formal eligibility requirements for this course. However, we strongly recommend meeting the following aspects:

At least 1 year of data analytics experience or experience in building real-time applications or streaming analytics solutions
Review the Streaming Data Solutions on AWS whitepaper for a refresher on streaming concepts
Completion of Architecting on AWS or Data Analytics Fundamentals, as well as the Building Data Lakes on AWS course

Our course curriculum is divided into 9 modules, including practical sessions on AWS services and technologies like Kinesis, MSK, and Apache Flink. Each module consists of theoretical sessions followed by practical labs and quizzes to reinforce learning. The topics which you will master in this course are listed below:

Introduction to real-time data streaming
Building scalable streaming data pipelines using AWS Kinesis
Data processing using Apache Flink
Securing and monitoring streaming data pipelines
Best practices for performance optimisation

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

Enhanced job prospects in highly-demanding positions in cloud and data analytics
Career versatility with roles like Data Engineer, Cloud Architect, and Data Analyst
Higher professional credibility and industry recognition by earning the AWS certification
Higher income potential due to specialised AWS skills
Career advancement to senior or leadership roles

After successfully completing this training, you will receive the AWS certification in streaming data analytics. With this certification, you can pursue in-demand job roles in Bahrain, such as: