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How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS

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In this post, we explore how you can use Anomalo with Amazon Web Services (AWS) AI and machine learning (AI/ML) to profile, validate, and cleanse unstructured data collections to transform your data lake into a trusted source for production ready AI initiatives, as shown in the following figure.

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Data Trustability: The Bridge Between Data Quality and Data Observability

Dataversity

So, what can you do to ensure your data is up to par and […]. The post Data Trustability: The Bridge Between Data Quality and Data Observability appeared first on DATAVERSITY. You might not even make it out of the starting gate.

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5 Fast-Growing Data Management Trends in 2023

ODSC - Open Data Science

Data Mesh More data management systems in 2023 will also shift toward a data mesh architecture. This decentralized architecture breaks data lakes into smaller domains specific to a given team or department. Automation and artificial intelligence (AI) will see particular growth in the realm of observability.

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4 Key Trends in Data Quality Management (DQM) in 2024

Precisely

It’s important to note that end-to-end data observability of your complex data pipelines is a necessity if you’re planning to fully automate the monitoring, diagnosis, and remediation of data quality issues. Standardized processes for remediation of enterprise-wide data quality issues are beginning to gain traction.”

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Modern Data Management Essentials: Exploring Data Fabric

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Without access to all critical and relevant data, the data that emerges from a data fabric will have gaps that delay business insights required to innovate, mitigate risk, or improve operational efficiencies. You must be able to continuously catalog, profile, and identify the most frequently used data.

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Mainframe Data: Empowering Democratized Cloud Analytics

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The cloud is especially well-suited to large-scale storage and big data analytics, due in part to its capacity to handle intensive computing requirements at scale. BI platforms and data warehouses have been replaced by modern data lakes and cloud analytics solutions. Secure data exchange takes on much greater importance.

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Alation Earns 8 Top Rankings in BARC’s The Data Management Survey 23

Alation

One of Alation’s benefits is data democratization , which makes digital information accessible to everyone throughout the enterprise. Alation’s usability goes well beyond data discovery (used by 81 percent of our customers), data governance (74 percent), and data stewardship / data quality management (74 percent).