Andrew Long , the lead developer for data mesh, has designed and built many of the big data processing systems that have fueled Amazon’s financial data processing infrastructure.
Andrew Long , the lead developer for data mesh, has designed and built many of the big data processing systems that have fueled Amazon’s financial data processing infrastructure.
Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team…. He is passionate about architecting fast-growing data environments, diving deep into distributed big data software like Apache Spark, building reusable
Altron set aside 4 days for their Immersion Day, during which time AWS had assigned a dedicated Solutions Architect to work alongside them to build the following prototype architecture: The workshop helped devise the think big
In this post, we explain how data teams can quickly configure low-latency data pipelines that ingest and model data from a variety of sources, using Etleap’s end-to-end pipelines with Amazon Redshift and dbt. End-to-end
To make things simpler, Kinesis Data Analytics Studio is a notebook environment that uses Apache Flink and allows you to query data streams and develop SQL queries or proof of concept workloads before
He has 17 years of experience architecting, building, leading, and maintaining big data platforms…. He is passionate about helping customers architect big data solutions to process data at scale.
In this post, we explain how you can enable business users to ask and answer questions about data using their everyday business language by using the Amazon QuickSight natural language query function, Amazon QuickSight Q.
In today’s world, customers manage vast amounts of data in their Amazon Simple Storage Service (Amazon S3) data lakes, which requires convoluted data pipelines to continuously understand the changes in the data layout and make them available to consuming systems.
In this post, we show how you can use AWS Clean Rooms to enable data collaboration between public health agencies. AWS Clean Rooms offers an opportunity to reduce the burden on data providers in programs like
To run a diverse set of workloads with minimal operational burden, Snowflake built an intelligent engine that plans and optimizes the execution of concurrent workloads using a multi-clustered, shared data
Cargotec (Nasdaq Helsinki: CGCBV) is a Finnish company that specializes in cargo handling solutions and services. They are headquartered in Helsinki, Finland, and operates globally in over 100 countries. With its leading cargo handling solutions and services, they are pioneers in their field. Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value.
The following diagram illustrate OpenSearch Service running within an Amazon VPC using monitors and triggers to send a notification to the PagerDuty service using an Events API custom webhook In this post, we
The host is used to access an Amazon Aurora MySQL-Compatible Edition cluster that you create and to run a Python script that sends sample records to the Kinesis data stream. We provide a step-by-step
Because QuickSight is fully managed and serverless, we were able to focus on building value for customers and develop an embedded dashboard delivery solution to support all three products, rather than focusing on managing and optimizing infrastructure. To help HR leaders