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Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

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Top ETL Tools: Unveiling the Best Solutions for Data Integration

Pickl AI

It is a process for moving and managing data from various sources to a central data warehouse. This process ensures that data is accurate, consistent, and usable for analysis and reporting. Definition and Explanation of the ETL Process ETL is a data integration method that combines data from multiple sources.

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Build Data Pipelines: Comprehensive Step-by-Step Guide

Pickl AI

These pipelines automate collecting, transforming, and delivering data, crucial for informed decision-making and operational efficiency across industries. Organisations leverage diverse methods to gather data, including: Direct Data Capture: Real-time collection from sensors, devices, or web services.

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Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

And then, we’re trying to boot out features of the platform and the open-source to be able to take Hamilton data flow definitions and help you auto-generate the Airflow tasks. To a junior data scientist, it doesn’t matter if you’re using Airflow, Prefect , Dexter. I term it as a feature definition store.

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Data Mesh Architecture and the Data Catalog

Alation

Signals around the quality and integrity of the data are essential if people are to understand and trust it. Data provenance and lineage, for example, clarify an asset’s origin and past usages, important details for a newcomer to understand and trust that asset. Readers may notice these attributes echo other data management frameworks.