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Data Integrity, the Basis for Reliable Insights

Sisense

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. What is data integrity?

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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Who are the data owners? What are the transformation rules? Collaboration.

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An AI Chat Bot Wrote This Blog Post …

DataKitchen

DataOps automation typically involves the use of tools and technologies to automate the various steps of the data analytics and machine learning process, from data preparation and cleaning, to model training and deployment. The data scientists and IT professionals were amazed, and they couldn’t believe their eyes.

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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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DataOps Observability: Taming the Chaos (Part 2)

DataKitchen

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. That data then fills several database tables. It’s not just a fear of change.

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

AWS Big Data

Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights. Each of these tools has its own reporting capabilities that make it difficult to combine the data for integrated and actionable business insights. Finally, data integrity is of paramount importance.

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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. 91% of data breaches were financially motivated. 66% of data breaches involved personal information.