Data Transformation Events Metadata Visualization 
AWS Big Data
MARCH 13, 2024
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.
erwin
APRIL 29, 2020
These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.
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datapine
SEPTEMBER 29, 2022
He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. 2 – Data profiling. date, month, and year).
Cloudera
DECEMBER 9, 2022
Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. A reimagined visual editor to boost developer productivity and enable self service. Enabling self-service for developers.
Cloudera
MARCH 14, 2023
Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. Connections allow you to list their content and explore all the queued up events and their attributes.
AWS Big Data
APRIL 25, 2023
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. Let’s take an example.
AWS Big Data
OCTOBER 11, 2023
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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