Remove Data Processing Remove Data Transformation Remove Events Remove Metadata
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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Using EventBridge integration, filtered positional updates are published to an EventBridge event bus. Amazon Location device position events arrive on the EventBridge default bus with source: ["aws.geo"] and detail-type: ["Location Device Position Event"]. In this model, the Lambda function is invoked for each incoming event.

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Enhance your analytics embedding experience with the new Amazon QuickSight JavaScript SDK

AWS Big Data

Additionally, there are major rewrites to deliver developer-focused improvements, including static type checking, enhanced runtime validation, strong consistency in call patterns, and optimized event chaining. is modernized by using promises for all actions, so developers can use async and await functions for better event management.

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Cross-account integration between SaaS platforms using Amazon AppFlow

AWS Big Data

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. The marketing team created leads based on the event in Adobe Marketo.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle. This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g.,

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

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Build a data lake with Apache Flink on Amazon EMR

AWS Big Data

With a unified data catalog, you can quickly search datasets and figure out data schema, data format, and location. The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. Refer to Catalogs for more information.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.