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Steps Companies Should Take to Come Up Data Management Processes

Smart Data Collective

Data Management is considered to be a core function of any organization. Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. There are various types of data management systems available.

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Data Classification: Overview, Types, and Examples

Pickl AI

Summary: Feeling overwhelmed by your data? Data classification is the key to organization and security. This blog explores what data classification is, its benefits, and different approaches to categorize your information. Discover how to protect sensitive data, ensure compliance, and streamline data management.

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

IBM Journey to AI blog

Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, data classification, organization and tagging.

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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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An Overview of Security and Compliance Features in Snowflake

phData

Access Controls and User Authentication Access control regulates who can interact with various database objects, such as tables, views, and functions. In Snowflake, securable objects (representing database resources) are controlled through roles. It logs user activities, query details, database tweaks, and more.

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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. The existing Data Catalog becomes the Default catalog (identified by the AWS account number) and is readily available in SageMaker Lakehouse.

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