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. 

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

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)

Aman Chand
ANZ Principal BDM - EC2 Spot, AWS

Ahmed Nada
Specialist SA, Compute, AWS