AWS Building Streaming Data Analytics Solutions on AWS

What you'll learn
On this accelerated Building Streaming Data Analytics Solutions on AWS course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK).
Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda.
The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.
In just 1 day, youâĂĂ´ll learn to understand the features and benefits of a modern data architecture.. YouâĂĂ´ll also:
- Learn how AWS streaming services fit into a modern data architecture.
- Design and implement a streaming data analytics solution
- Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage
- Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data
- Choose the appropriate streams, clusters, topics, scaling approach, and network topology for a particular business use case
- Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
- Secure streaming data at rest and in transit
- Monitor analytics workloads to identify and remediate problems
- Apply cost management best practices
At the end of this course, youâĂĂ´ll achieve your Building Streaming Data Analytics Solutions on AWS certification.
Through FirebrandâĂĂ´s Lecture | Lab | Review methodology, youâĂĂ´ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.
Audience
This course is ideal for:
- Data engineers and architects
- Developers who want to build and manage real-time applications and streaming data analytics solutions
Curriculum
34 modulesModule A: Overview of Data Analytics and the Data Pipeline
- Data analytics use cases
- Using the data pipeline for analytics
Module 1: Using Streaming Services in the Data Analytics Pipeline
- The importance of streaming data analytics
- The streaming data analytics pipeline Streaming concepts
Module 2: Introduction to AWS Streaming Services
- 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
Module 3: Using Amazon Kinesis for Real-time Data Analytics
- 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
Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
- Optimize Amazon Kinesis to gain actionable business insights
- Security and monitoring best practices
Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
- 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
Module 6: Securing, Monitoring, and Optimizing 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
Module 7: Designing Streaming Data Analytics Solutions
- Use case review Class Exercise: Designing a streaming data analytics workflow
- Module B: Developing Modern Data Architectures on AWS
- Modern data architectures
Prerequisites
Before attending this accelerated course, you should have:
- One-year experience managing data analytics solutions or streaming data
- Completed either Architecting on AWS or Data Analytics Fundamentals Completed Building Data Lakes on AWS
Exam info
At the end of this accelerated course, youâĂĂ´ll achieve your Building Streaming Data Analytics Solutions on AWS Certification.
Course Dates
Sorry, there are currently no dates available for this course. Please submit an enquiry and one of our team will contact you about potential future dates or alternative options.
FAQs
4 questionYes, we do provide courses suitable for beginners. However, Firebrand's accelerated courses aren't easy and it's essential that you are interested and actively pursuing a career in IT.
Traditional training providers usually run their courses from 9am to 5pm. At Firebrand Training we maximise the number of learning hours to minimise the number of training days, so youâll be back to your job as quickly as possible. You donât waste time travelling to several courses and finding an exam centre after that.
Firebrand's accelerated courses are constantly reviewed. We ask our delegates for feedback after every course. We are official partners with leading vendors and therefore, we're provided with certification changes and updates, which we can then implement in our course delivery at a very early stage. This feedback is then analysed in view of changes or discrepancies. We will then address the topics mentioned and have a panel of subject matter experts provide us with valuable suggestions for improvement and solutions.
If you need to learn new skills and you want to be able to put them into practice quickly, then Firebrand is the right training company for you.
Our unique accelerated training method means that we are your fastest way to learn. By delivering training for up to 12 hours per day, seven days per week, with exam centres on-site, we ensure that you are trained and certified quicker than anywhere else, having spent less time out of the office away from the day job.
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