Remove Data Classification Remove Data Governance Remove Data Warehouse
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The Secret to Data Cloud Migration: A Strong Governance Foundation

Alation

The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. As Vice President of Data Governance at TMIC, Anthony has robust experience leading cloud migration as part of a larger data strategy. Creating an environment better suited for data governance. The Plan in Action.

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5 Pain Points of Moving Data to the Cloud and Strategies for Success

Alation

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. The Five Pain Points of Moving Data to the Cloud.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes. Data classification, standardization, normalization, verification, validation, and deduplication are all examples of data processing tasks.

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Alation 2022.1: Customize Your Data Catalog

Alation

Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

Multiple data applications and formats make it harder for organizations to access, govern, manage and use all their data for AI effectively. Scaling data and AI with technology, people and processes Enabling data as a differentiator for AI requires a balance of technology, people and processes.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes. Data classification, standardization, normalization, verification, validation, and deduplication are all examples of data processing tasks.

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An Overview of Security and Compliance Features in Snowflake

phData

It accurately recognizes diverse data types and supports various table structures, excluding certain data types like GEOGRAPHY and BINARY. The process computes costs based on data volume. It enhances data governance by introducing a tagging mechanism.