Category: Amazon Kinesis
Most organizations need to monitor activity on databases containing sensitive information to ensure security auditing and compliance. Although some security operations teams might be interested in monitoring all activities like read, write, and logons, others might want to restrict monitoring to activities that lead to changes in data and data structures only. In this post, […]Read More
As organizations adopt and deploy home-connected smart devices, they face challenges utilizing device telemetry data in narrow and broad contexts. Examples of such home-connected devices are smart meters and home sensors that emit telemetry and measurements as time series data. In a narrow context, operational teams use data to understand if devices are operating within […]Read More
Amazon Quantum Ledger Database (Amazon QLDB) is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log. You can use Amazon QLDB to track each application data change, and it maintains a complete and verifiable history of changes over time. Because of those key features, banking customers have adopted Amazon QLDB as a database […]Read More
This is a guest post by Sergey Podlazov – Director of Engineering (Shopping Experience) at Zulily, Senthil Kumar, Sr. Solutions Architect, AWS, and Praveen Chamarthi, Sr. Technical Account Manager, AWS Zulily offers a unique ecommerce experience to shoppers by offering amazing deals on products for moms, kids, and babies. We have scaled this model to […]Read More
Many organizations have accelerated their adoption of stream data processing technologies in an effort to more quickly derive actionable insights from their data. Frequently, it is required that data from streams be computed into metrics or aggregations and stored in near real-time for analysis. These computed values should be generated and stored as quickly as […]Read More
Managed Blockchain follows an event-driven architecture. We can open up a wide range of analytic approaches by streaming events to Amazon Kinesis. For instance, we could analyze events in near-real time with Kinesis Data Analytics, perform petabyte scale data warehousing with Amazon RedShift, or use the Hadoop ecosystem with Amazon EMR. This allows us to use the right approach for every blockchain analytics use case.
In this post, we show you one approach that uses Amazon Kinesis Data Firehose to capture, monitor, and aggregate events into a dataset, and analyze it with Amazon Athena using standard SQL.
This is a guest post by David Ting, VP of Engineering at Nylas. In their own words, Nylas is a pioneer and leading provider of universal communications APIs that allow developers to quickly connect their applications to every email, calendar, or contacts provider in the world. Over 26,000 developers around the globe use the Nylas […]Read More
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Let’s assume that you work for an ecommerce company and you want to provide the best user experience to your customers. A customer could land on a product page by coming from a recommendation on another page in your application […]Read More
In this post, we discuss how you can use AWS Database Migration Service (AWS DMS) to stream change data into Amazon Kinesis Data Streams. An earlier post, Load CDC Data, discussed real-time data processing architecture. As part of that, it covered how to capture changes in an Amazon RDS for Microsoft SQL Server database using AWS […]Read More
UPDATE, March 2019: Since this blog post was published, DMS has launched a new capability to set Kinesis as a target. For the most updated guidance, please visit Use the AWS Database Migration Service to Stream Change Data to Amazon Kinesis Data Streams. ———————————— Many large enterprises are moving their data processing from batch to […]Read More