Remove tags data-vault
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Ansible Vault: Your Key to Securing Confidential Configuration

Knowledge Hut

As organizations try to protect sensitive data and stop unauthorized access, the significance of good security measures has become more apparent. Ansible Vault shines in this situation as a significant feature, allowing programmers and system administrators to covertly encrypt and protect critical data. What is Ansible Vault?

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Data Vault 2.0 with dbt Cloud

dbt Developer Hub

Data Vault 2.0 is a data modeling technique designed to help scale large data warehousing projects. So why Data Vault? If not, it might be hard to initially understand the benefits of Data Vault, and maybe Kimball modelling is better for you.

Cloud 52
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ML Training and Deployment Pipeline Using Databricks

Ripple Engineering

At Ripple we have a mix of cloud providers (GCP and AWS) and internally managed tools (Gitlab, Artifactory, Vault etc.), Tracking models and all associated data is helpful in tracking performance over time, backtesting experiments and A/B testing. Each cluster has a service account that has access to the requisite data.

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Using DataOps To Build Data Products and Data Mesh

Monte Carlo

At our latest IMPACT summit, Roche shared their data mesh strategy for creating reliable data products. The goal of the Roche data team is to maximize the outcomes of customers and patients through data and analytics products. So they agreed to leverage Data Vault 2.0

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Azure Administrator (AZ-104) Cheat Sheet: Complete Collection

Knowledge Hut

Azure offers global data centers and scalability. Azure Data Lake Storage is for big data. Managed and unmanaged disks store VM data. Azure Backup secures data backups. Log Analytics collects and analyzes data. Tags organize resources. Azure Key Vault manages cryptographic keys.

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Operational Database Security – Part 1

Cloudera

Data-at-rest encryption. Transparent data-at-rest encryption is available through the Transparent Data Encryption (TDE) feature in HDFS. . TDE provides the following features: Transparent, end-to-end encryption of data. For example, many of these standards require encryption of data at rest and in motion.

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Data Vault on Snowflake: Feature Engineering and Business Vault

Snowflake

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.