Remove Coding Remove Data Validation Remove Definition Remove Metadata
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What Is Kubernetes? Definitive Guide for Dummies

Knowledge Hut

The system is designed to simplify life cycle management, allowing developers to focus on their application code rather than infrastructure maintenance. It is responsible for data validation, authorization and access control, as well as storing the manifests file inside the etcd. cat / etc/apt/sources.list.d/Kubernetes.list

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Announcing Nickel 1.0

Tweag

The manifest of a web app, the configuration of an Apache virtual host, an Infrastructure-as-Code (IaC) cloud deployment (Terraform, Kubernetes, etc.). To minimize the risk of misconfigurations, Nickel features (opt-in) static typing and contracts, a powerful and extensible data validation framework.

MySQL 131
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What is Data Accuracy? Definition, Examples and KPIs

Monte Carlo

Data observability solutions also take testing a step further by providing root cause analysis tools that help teams proactively identify the root cause of data inaccuracies, as they relate to code, your data infrastructure, and even the data itself. is the gas station actually where the map says it is?).

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What is Data Completeness? Definition, Examples, and KPIs

Monte Carlo

The same is true with data. If all the information in a data set is accurate and precise, but key values or tables are missing, your analysis won’t be effective. That’s where the definition of data completeness comes in. Be sure to use random sampling to select representative subsets of your data.

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97 things every data engineer should know

Grouparoo

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

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Making dbt Cloud API calls using dbt-cloud-cli

dbt Developer Hub

cron schedule, API trigger), the jobs generate various artifacts that contain valuable metadata related to the dbt project and the run results. Data/analytics engineers would often write custom scripts for issuing automated calls to the API using tools cURL or Python Requests. When triggered (e.g., cool_script_bro. CLI arguments).

Cloud 52
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Data Virtualization: Process, Components, Benefits, and Available Tools

AltexSoft

When connecting, data virtualization loads metadata (details of the source data) and physical views if available. It maps metadata and semantically similar data assets from different autonomous databases to a common virtual data model or schema of the abstraction layer. Informatica.

Process 69