{ "format": "dataset-manifest/1", "slug": "virtual-machine-management-in-manufacturing", "version": 1, "seed": "virtual-machine-management-in-manufacturing:1", "spec": { "format": "dataset/1", "slug": "virtual-machine-management-in-manufacturing", "name": "Virtual Machine Management in Manufacturing", "tagline": "Virtual machines, user groups, and storage usage for optimizing production workflows in manufacturing environments.", "description": "Virtual machines streamline operations in a manufacturing environment, facilitating optimized production workflows and efficient resource allocation. Engineers and IT managers actively configure, monitor, and manage these virtual assets to ensure seamless operations, with a strong emphasis on balancing workloads and maintaining system stability. Each virtual machine supports various tasks crucial to production lines, helping to reduce downtime and enhance overall efficiency.\n\nIn this dataset, the primary table, virtual_machines, contains detailed records of each virtual machine deployed in the manufacturing facility. Each row represents an individual virtual machine, capturing parameters such as its configuration, storage usage, and operational status. This table allows for insights into how resources are allocated and how effectively each virtual machine performs its designated tasks. \n\nThe data answers essential questions related to resource management and performance optimization. For instance, it enables analysis of the distribution of workloads across virtual machines, helps identify underutilized resources, and allows for an assessment of the impact of network configurations on production efficiency. Users can practice querying this data to develop skills in performance monitoring, capacity planning, and troubleshooting within a virtualized manufacturing context.\n\nIt's important to note that the data provided is synthetic, designed to simulate a real-world environment while ensuring practical learning experiences for developers. Engage with this dataset to enhance your understanding of virtual machine management within the manufacturing sector and refine your data analysis abilities.", "domain": "manufacturing", "shape": "time-series", "useCases": [ "analytics-demo", "bi-dashboards" ], "keywords": [ "virtual machines", "manufacturing", "resource allocation", "storage usage", "network configuration", "task execution" ], "locale": "en", "license": "CC0-1.0", "version": 1, "tables": { "virtual_machines": { "description": "Each row in this table represents a virtual machine's performance and configuration at a specific time, linking to its storage usage, user groups, and network settings.", "rows": 500, "columns": { "vm_id": { "kind": "pk", "description": "Unique identifier for the virtual machine." }, "timestamp": { "kind": "datetime", "from": "2022-01-01", "to": "2023-12-31", "description": "The date and time when the data was recorded." }, "storage_usage_gb": { "kind": "decimal", "min": 0, "max": 500, "scale": 2, "description": "Amount of storage used by the virtual machine in gigabytes.", "nullable": true, "when": { "column": "network_configuration", "in": [ "isolated", "public" ] } }, "user_group": { "kind": "enum", "values": [ "engineering", "production", "maintenance", "admin" ], "description": "The user group that has access to the virtual machine." }, "network_configuration": { "kind": "enum", "values": [ "default", "isolated", "public", "private" ], "description": "The network configuration of the virtual machine.", "nullable": true, "when": { "column": "user_group", "in": [ "engineering", "production" ] } }, "task_execution_count": { "kind": "int", "min": 0, "max": 1000, "description": "Number of tasks executed by the virtual machine in the specified time frame.", "nullable": true } } } }, "structure": "single-table", "traits": [ "timestamped", "categorical", "nullable" ], "analysisQuestions": [ "How does storage usage vary across different user groups?", "What is the average task execution count for virtual machines over time?", "Which network configurations are most commonly used and why?", "How does the performance of virtual machines impact manufacturing workflows?" ], "suggestedQueries": [ { "title": "Retrieve all virtual machines and their storage usage", "sql": "SELECT vm_id, storage_usage_gb FROM virtual_machines;", "dialect": "postgres" }, { "title": "Count task executions per user group", "sql": "SELECT user_group, SUM(task_execution_count) FROM virtual_machines GROUP BY user_group;", "dialect": "postgres" }, { "title": "Average storage usage by network configuration", "sql": "SELECT network_configuration, AVG(storage_usage_gb) FROM virtual_machines GROUP BY network_configuration;", "dialect": "postgres" }, { "title": "Get time series of tasks executed over time", "sql": "SELECT timestamp, SUM(task_execution_count) FROM virtual_machines GROUP BY timestamp ORDER BY timestamp;", "dialect": "postgres" } ], "usageScenarios": [ { "title": "Production Manager Insights", "body": "A production manager can utilize this dataset to analyze the performance of virtual machines across different user groups. By understanding how storage usage correlates with task execution, they can make informed decisions about resource allocation and optimization." }, { "title": "IT Infrastructure Optimization", "body": "IT teams can leverage this dataset to assess the effectiveness of various network configurations used by virtual machines. By examining which configurations yield the best performance, they can streamline their infrastructure and enhance operational efficiency." }, { "title": "Trend Analysis for Future Planning", "body": "Data analysts can use this dataset to conduct trend analyses on virtual machine usage over time. By identifying patterns in task execution counts and storage usage, they can assist management in planning for future resource needs and potential expansions." } ] }, "counts": { "virtual_machines": 500 }, "stats": { "virtual_machines": { "rows": 500, "columns": { "vm_id": { "nulls": 0, "distinct": 500, "min": 1, "max": 500 }, "timestamp": { "nulls": 0, "distinct": 500, "min": "2022-01-01 03:00:49", "max": "2023-12-30 06:53:52" }, "storage_usage_gb": { "nulls": 372, "distinct": 128, "min": 2.19, "max": 498.27 }, "user_group": { "nulls": 0, "distinct": 4, "min": "admin", "max": "production" }, "network_configuration": { "nulls": 243, "distinct": 4, "min": "default", "max": "public" }, "task_execution_count": { "nulls": 46, "distinct": 365, "min": 10, "max": 998 } } } }, "artifacts": [ { "file": "csv/virtual_machines.csv", "format": "csv", "table": "virtual_machines", "key": "datasets/virtual-machine-management-in-manufacturing/v1/csv/virtual_machines.csv", "url": "https://database-sample-website.s3.eu-north-1.amazonaws.com/datasets/virtual-machine-management-in-manufacturing/v1/csv/virtual_machines.csv", "bytes": 22957, "sha256": "65ab07741fab9c8dee878cdb6561434e9e828aca87bed8da1c362dbfbe5c491a", "rows": 500, "contentType": "text/csv; charset=utf-8" }, { "file": "virtual-machine-management-in-manufacturing.json", "format": "json", "table": null, "key": "datasets/virtual-machine-management-in-manufacturing/v1/virtual-machine-management-in-manufacturing.json", "url": "https://database-sample-website.s3.eu-north-1.amazonaws.com/datasets/virtual-machine-management-in-manufacturing/v1/virtual-machine-management-in-manufacturing.json", "bytes": 107038, "sha256": "e6e8f0447f81877cc9f137c7346ded0c65f6b11d9511113d866fa983d7f5051c", "rows": null, "contentType": "application/json; charset=utf-8" }, { "file": "sql/postgres.sql", "format": "sql-postgres", "table": null, "key": "datasets/virtual-machine-management-in-manufacturing/v1/sql/postgres.sql", "url": "https://database-sample-website.s3.eu-north-1.amazonaws.com/datasets/virtual-machine-management-in-manufacturing/v1/sql/postgres.sql", "bytes": 34721, "sha256": "f31abee397454853c793c1754ab876d3002996bed9bd24459d6f4062c62da0e5", "rows": null, "contentType": "application/sql; charset=utf-8" }, { "file": "sql/mysql.sql", "format": "sql-mysql", "table": null, "key": "datasets/virtual-machine-management-in-manufacturing/v1/sql/mysql.sql", "url": "https://database-sample-website.s3.eu-north-1.amazonaws.com/datasets/virtual-machine-management-in-manufacturing/v1/sql/mysql.sql", "bytes": 34595, "sha256": "f99e973ac4b2806e231eb09a7fb9767772692923fa72ac9b83f95e6dd431b2a9", "rows": null, "contentType": "application/sql; charset=utf-8" }, { "file": "sql/mssql.sql", "format": "sql-mssql", "table": null, "key": "datasets/virtual-machine-management-in-manufacturing/v1/sql/mssql.sql", "url": "https://database-sample-website.s3.eu-north-1.amazonaws.com/datasets/virtual-machine-management-in-manufacturing/v1/sql/mssql.sql", "bytes": 35932, "sha256": "c6762f9b4e2455adb97aba3adb9e69134a7fb4da2c475536fd7261f6c4cc783e", "rows": null, "contentType": "application/sql; charset=utf-8" }, { "file": "sql/sqlite.sql", "format": "sql-sqlite", "table": null, "key": "datasets/virtual-machine-management-in-manufacturing/v1/sql/sqlite.sql", "url": "https://database-sample-website.s3.eu-north-1.amazonaws.com/datasets/virtual-machine-management-in-manufacturing/v1/sql/sqlite.sql", "bytes": 34565, "sha256": "ac800940a583f47656d6826bf54facebc13729d17b07e4f332fbd8a4ed95146e", "rows": null, "contentType": "application/sql; charset=utf-8" }, { "file": "prisma/seed.ts", "format": "prisma-seed", "table": null, "key": "datasets/virtual-machine-management-in-manufacturing/v1/prisma/seed.ts", "url": "https://database-sample-website.s3.eu-north-1.amazonaws.com/datasets/virtual-machine-management-in-manufacturing/v1/prisma/seed.ts", "bytes": 91577, "sha256": "da2fbd74223328188a53837eba2ee71c25df17ddfa1fa5b8f818f911522af60f", "rows": null, "contentType": "application/typescript; charset=utf-8" }, { "file": "django/fixtures.json", "format": "django-fixture", "table": null, "key": "datasets/virtual-machine-management-in-manufacturing/v1/django/fixtures.json", "url": "https://database-sample-website.s3.eu-north-1.amazonaws.com/datasets/virtual-machine-management-in-manufacturing/v1/django/fixtures.json", "bytes": 131786, "sha256": "df650ab73394b065c5c9270e0a1e5ab05ddb293ac0861943409d5cedb8333382", "rows": null, "contentType": "application/json; charset=utf-8" } ], "publishedAt": 1788768238149, "updatedAt": 1788768238149 }