Join us for online presentations covering a range of AWS Cloud solutions and technology and offering technical deep dives, business topics, demos, live Q&A and customer stories with AWS experts.
AWS Webinars will range from introductory to advanced level, and will cover topics ranging from the latest trends in tech, Artificial Intelligence, Modern Application Development, Machine Learning, Data & Analytics to Best Practices and Getting Started on the AWS Platform.
AWS Virtual Workshop
Building streaming data platform on AWS
Speed is definitely a key characteristic businesses are looking to have for a competitive edge in today’s world. Consumers increasingly want experiences that are timely, targeted, and tailored to their specific needs, whether they are applying for a loan, investing, checking health alerts, online shopping , tracking home security alerts, or monitoring systems.
Technologies like Amazon Kinesis or Amazon Managed Streaming for Apache Kafka helping thousands of customers to build a real-time analytics platform for large scale workload quickly and easily. For example, Netflix uses Amazon Kinesis to monitor the communications between all of its applications so it can detect and fix issues quickly, ensuring high service uptime and availability to its customers.
Join us for this four-week series about how to get started with Amazon Kinesis. You create your first stream, use an SDK to manage your data ingestion and processing, visualize data in near real-time and understand building end-to-end streaming data pipeline. Finally, you build a modern, serverless streaming pipeline.
Virtual Workshop Episodes:
Episode 1 Real-time data processing core concepts and create your first data stream Thursday, 25 June 2020 | 1:00 PM - 2:00 PM (AEST)
In this first episode, we will cover the core concepts of real-time data processing. We will create an Amazon Kinesis Data Streams and populate data on stream by running a producer client program on an EC2 instance with sample data.
What you learn in Episode 1:
Real-time data stream core concept
How to create a new data stream
How to ingest data on the Kinesis Data Streams
Streaming data storage with Kinesis and Kafka
Episode 2 Stream data processing with Kinesis Data Firehose and AWS Lambda Thursday, 02 July 2020 | 1:00 PM - 2:00 PM (AEST)
In this episode, we will cover how to do serverless stream processing with AWS Lambda and how to ingest data to Amazon S3 using Amazon Kinesis Data Firehose delivery stream.
What you learn in Episode 2:
How to create a Firehose delivery stream
How to connect Firehose to process data from your data streams
How to do stream processing with AWS Lambda
Learn how to query data on S3 with serverless interactive query service Amazon Athena
Episode 3 Serverless stream processing with SQL Thursday, 09 July 2020 | 1:00 PM - 2:00 PM (AEST)
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. In this episode, we will cover how the different techniques of stateless and stateful stream processing works.
What you learn in Episode 3:
Create your Kinesis Data Analytics for SQL Applications
Write SQL code and do schema transformation
Learn different features available for stream processing with Kinesis Data Analytics
Complex data analysis using inbuilt Machine learning feature
Episode 4 Building end-to-end stream processing pipeline Thursday, 16 July 2020 | 1:00 PM - 2:00 PM (AEST)
In this episode we will build an Apache Flink application with Kinesis Data Analytics for Java Applications and we will build dashboard for visualization using Amazon Elasticsearch service.
What you learn in Episode 4:
How to build a streaming analytics pipeline
Learn how to use Amazon ElasticSearch for building interactive dashboards
Who should attend: Developers, DBAs, IT Pros, Architects, Data Engineers, Data Analysts
Prerequisites: Your own non-production AWS account with administrator access.
Episode 1 (Closed) Real-time data processing core concepts and create your first data stream Date: Thursday, 25 June 2020 Time: 1:00 PM – 2:00 PM (AEST)
Episode 2 (Closed) Stream data processing with Kinesis Data Firehose and AWS Lambda Date: Thursday, 02 July 2020 Time: 1:00 PM – 2:00 PM (AEST)
Episode 3 Serverless stream processing with SQL Date: Thursday, 09 July 2020 Time: 1:00 PM – 2:00 PM (AEST)
Episode 4 Building end-to-end stream processing pipeline Date: Thursday, 16 July 2020 Time: 1:00 PM – 2:00 PM (AEST)
Masudur Rahaman Sayem Specialist SA, Data & Analytics, AWS
Maximise your budget and accelerate the modernisation of your workloads with EC2
Are you a builder looking for ways to accelerate your modernisation of your workloads at a lower cost? Find out how to save 90% of your EC2 compute costs by using container services like Amazon ECC/EKS, Fargate and Kubernetes.
In this webinar, you will hear from AWS experts on integrate Amazon EC2 Spot into your workloads with minimal engineering effort to save up to 90% of your compute costs plus deep dive into best practices for deploying stateless containers. Join your fellow developer peers and connect with AWS with a live Q&A plus get hands-on with our virtual demos, built to enable you to implement change and acceleration in your business.
Who should attend: Developers, DevOps Team, Cloud Architects
Maximise your budget and accelerate the modernisation of your workloads with EC2 Date: Thursday, 6 August 2020 Time: 11:00 AM – 12:30 PM (AEST)