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DataOps Observability: Taming the Chaos (Part 2)

DataKitchen

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. DataOps Observability Starts with Data Journeys. Jason considers his dashboard idea but quickly realizes the complexity of building such a system.

Testing 130
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How GamesKraft uses Amazon Redshift data sharing to support growing analytics workloads

AWS Big Data

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

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How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift

AWS Big Data

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis.

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How Infomedia built a serverless data pipeline with change data capture using AWS Glue and Apache Hudi

AWS Big Data

Performance and scalability of both the data pipeline and API endpoint were key success criteria. The data pipeline needed to have sufficient performance to allow for fast turnaround in the event that data issues needed to be corrected. The following diagram illustrates this architecture.

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The Rising Need for Data Governance in Healthcare

Alation

These mandates ensure that PHA and PII data are protected and managed properly, so that patients are protected in the event of data breaches. Yet this same data is critical to improving patient outcomes. Too much access increases the risk that data can be changed or stolen.

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Unified Data Clears the Roadblocks of Your Hybrid Cloud Journey

Jet Global

It streamlines data integration, ensures real-time access to accurate information, enhances collaboration, and provides the flexibility needed to adapt to evolving ERP systems and business requirements. Data transformation ensures that the data aligns with the requirements of the new cloud ERP system.

Finance 52