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Tag: Technical How-to

Build a news-based real-time alert system with Twitter, Amazon SageMaker, and Hugging Face

Today, social media is a huge source of news. Users rely on platforms like Facebook and Twitter to consume news. For certain industries such...

Use Amazon Athena parameterized queries to provide data as a service

Amazon Athena now provides you more flexibility to use parameterized queries for any query you send to Athena, and we recommend you use them...

Accelerate machine learning with AWS Data Exchange and Amazon Redshift ML

Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using familiar SQL commands. Redshift ML allows you...

Break through language barriers with Amazon Transcribe, Amazon Translate, and Amazon Polly

Imagine a surgeon taking video calls with patients across the globe without the need of a human translator. What if a fledgling startup could...

Analyze logs with Dynatrace Davis AI Engine using Amazon Kinesis Data Firehose HTTP endpoint delivery

This blog post is co-authored with Erick Leon, Sr. Technical Alliance Manager from Dynatrace. Amazon Kinesis Data Firehose...

Use Amazon SageMaker Data Wrangler in Amazon SageMaker Studio with a default lifecycle configuration

If you use the default lifecycle configuration for your domain or user profile in Amazon SageMaker Studio and use Amazon SageMaker Data Wrangler for...

Sink Amazon Kinesis Data Analytics Apache Flink output to Amazon Keyspaces using Apache Cassandra Connector

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces you don’t have to provision,...

Predict types of machine failures with no-code machine learning using Amazon SageMaker Canvas

Predicting common machine failure types is critical in manufacturing industries. Given a set of characteristics of a product that is tied to a given...

Build an Apache Iceberg data lake using Amazon Athena, Amazon EMR, and AWS Glue

Most businesses store their critical data in a data lake, where you can bring data from various sources to a centralized storage. The data...

Demystifying machine learning at the edge through real use cases

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device...

Simplify and optimize Python package management for AWS Glue PySpark jobs with AWS CodeArtifact

Data engineers use various Python packages to meet their data processing requirements while building data pipelines with AWS Glue PySpark Jobs. Languages like Python...

Build a multilingual dashboard with Amazon Athena and Amazon QuickSight

Amazon QuickSight is a serverless business intelligence (BI) service used by organizations of any size to make better data-driven decisions. QuickSight dashboards can also...

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