In this article, we will explore how to implement an Ethereum blockchain using AWS Blockchain Templates, deploy a smart contract, and construct a serverless analytics pipeline utilizing AWS Lambda, Amazon Kinesis, and Amazon Athena.
Additionally, we will delve into extracting analytics from the diverse data published by Amazon Connect, leveraging an Amazon Connect data stream to create a tailored end-to-end analytical workflow.
We will also examine how to orchestrate Apache Spark applications using AWS Step Functions and Apache Livy in order to streamline your Spark jobs running on Amazon EMR.
Furthermore, I will share a solution that allows for the export of system tables from multiple Amazon Redshift clusters into an Amazon S3 bucket. This serverless solution can be scheduled to run every five minutes, with a provided AWS CloudFormation deployment template to facilitate setup. The system table data in the S3 bucket is organized by cluster name and query execution date, enabling efficient joins in cross-cluster diagnostic queries.
For those interested in the health data science environment, we will demonstrate how to combine OHDSI projects (such as Atlas, Achilles, WebAPI, and the OMOP Common Data Model) with AWS technologies, allowing for quick and cost-effective implementation.
Moreover, we will discuss the significance of open data on AWS, highlighting how spatial context data impacts our daily lives, from mapping roads to atmospheric data that informs our weather forecasts. Data from these domains often dominate big data challenges.
Finally, we will outline best practices for running Apache Cassandra on Amazon EC2, offering insights into three deployment options and guidance to help you make the most informed decisions for your use cases.
For a deeper understanding of similar topics, check out this blog post that further expands on the subject. To learn more about the best practices, visit this authority on the topic. Lastly, if you’re curious about Amazon’s approach to employee training and its implications for the future of work, this excellent resource is worth exploring.
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