AWS Big Data Blog

The Amazon Global Transportation Technology Services (GTTS) team owns a set of products called INSITE (Insights Into Transportation Everywhere). These products are user-facing applications that solve specific business problems across different transportation domains: network topology management, capacity management, and network monitoring. As of this writing, GTTS serves around 10,000 customers globally on a monthly basis, […]

In this, we will provide a step-by-step guide showing you how you can build a real-time OLAP datastore on Amazon Web Services (AWS) using Apache Pinot on Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time visualization using Tableau. You can use Apache Pinot for batch processing use cases as well but, in this post, we will focus on a near real-time analytics use case.

We are excited to announce a new feature in Amazon DataZone that allows data producers to group data assets into well-defined, self-contained packages (data products) tailored for specific business use cases. For example, a marketing analysis data product can bundle various data assets such as marketing campaign data, pipeline data, and customer data. This simplifies […]

In this post, we cover how to enable trusted identity propagation with AWS IAM Identity Center, Amazon Redshift, and AWS Lake Formation residing on separate AWS accounts and set up cross-account sharing of an S3 data lake for enterprise identities using AWS Lake Formation to enable analytics using Amazon Redshift. Then we use Amazon QuickSight to build insights using Redshift tables as our data source.

We’re excited to announce the new lower entry cost for Amazon OpenSearch Serverless. With support for half (0.5) OpenSearch Compute Units (OCUs) for indexing and search workloads, the entry cost is cut in half. Amazon OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service that you can use to run search and analytics workloads without the complexities […]

Since the launch of tiered storage for Amazon Managed Streaming for Apache Kafka (Amazon MSK), customers have embraced this feature for its ability to optimize storage costs and improve performance. In previous posts, we explored the inner workings of Kafka, maximized the potential of Amazon MSK, and delved into the intricacies of Amazon MSK tiered […]

As builders, sometimes you want to dissect a customer experience, find problems, and figure out ways to make it better. That means going a layer down to mix and match primitives together to get more comprehensive features and more customization, flexibility, and freedom. In this post, we introduce Log Lake, a do-it-yourself data lake based on logs from CloudWatch and AWS CloudTrail.

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. As data volumes continue to grow exponentially, traditional data warehousing solutions may struggle to keep up with the increasing demands for scalability, performance, and […]

In this blog post, we will show how to use Amazon OpenSearch Ingestion to deliver CloudWatch logs to OpenSearch Serverless in near real-time. We outline a mechanism to connect a Lambda subscription filter with OpenSearch Ingestion and deliver logs to OpenSearch Serverless without explicitly needing a separate subscription filter for it.

The post illustrates the construction of a comprehensive CDC system, enabling the processing of CDC data sourced from Amazon Relational Database Service (Amazon RDS) for MySQL. Initially, we’re creating a raw data lake of all modified records in the database in near real time using Amazon MSK and writing to Amazon S3 as raw data. Later, we use an AWS Glue exchange, transform, and load (ETL) job for batch processing of CDC data from the S3 raw data lake.