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Data Integrity for AI: What’s Old is New Again

Precisely

And then a wide variety of business intelligence (BI) tools popped up to provide last mile visibility with much easier end user access to insights housed in these DWs and data marts. But those end users werent always clear on which data they should use for which reports, as the data definitions were often unclear or conflicting.

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Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

Prime examples of this in the data catalog include: Trust Flags — Allow the data community to endorse, warn, and deprecate data to signal whether data can or can’t be used. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

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Data Mesh vs. Data Fabric: A Love Story

Alation

But make no mistake: A data catalog addresses many of the underlying needs of this self-serve data platform, including the need to empower users with self-serve discovery and exploration of data products. In this blog series, we’ll offer deep definitions of data fabric and data mesh, and the motivations for each. (We

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GraphQL vs. REST API: What’s the difference?

IBM Journey to AI blog

GraphQL is defined by API schema written in the GraphQL schema definition language. Each schema specifies the types of data the user can query or modify, and the relationships between the types. A resolver backs each field in a schema.

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Data Hygiene Explained: Best Practices and Key Features

Pickl AI

By maintaining clean and reliable data, businesses can avoid costly mistakes, enhance operational efficiency, and gain a competitive edge in their respective industries. Best Data Hygiene Tools & Software Trifacta Wrangler Pros: User-friendly interface with drag-and-drop functionality. Provides real-time data monitoring and alerts.

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phData Toolkit December 2023 Update

phData

This tool provides functionality in a number of different ways based on its metadata and profiling capabilities. The data source tool can also directly generate the Data Definition Language (DDL) for these tables as well if you decide not to use dbt! The tool now runs on 8 threads as opposed to the original single thread!

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Understanding Data Migration: A Comprehensive Guide

Pickl AI

Summary: This article provides a comprehensive overview of data migration, including its definition, importance, processes, common challenges, and popular tools. By understanding these aspects, organisations can effectively manage data transfers and enhance their data management strategies for improved operational efficiency.