Building Streaming Data Analytics Solutions on AWS Course in Rwanda

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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

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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

Build real-time data pipelines using AWS services

2

Use Apache Flink to run real-time analytics tasks

3

Create high-speed pipelines that scale easily

4

Learn to secure & optimize streaming processes

5

Master data ingestion & real-time data flow

6

Train for AWS Data Analytics certification

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Frequently asked questions

This Building Streaming Data Analytics Solutions on AWS course in Rwanda 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 how to design scalable streaming architectures, handle continuous data flows, and apply best practices in security and monitoring.

This course benefits 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

Professionals are given a 100% refund if they discontinue this training after initial registration. However, it is essential to submit a written refund request within two days of the initial registration date. If the request is accepted, the refund will be processed within four weeks from the withdrawal request date.

This Building Streaming Data Analytics Solutions on AWS Certification teaches through a variety of practical labs and sample projects, including -

Setting up and testing a streaming pipeline
Processing live input data with Flink
Monitoring pipeline performance using AWS tools

The Building Streaming Data Analytics Solutions on AWS Training in Rwanda includes modules in which professionals engage in -

Using case reviews of real-world streaming solutions
Hands-on group exercises to build modern, scalable architectures
Discussions on integrating streaming with modern AWS data platforms

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