Activity
Mon
Wed
Fri
Sun
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
What is this?
Less
More

Memberships

Data Engineering Community

Private โ€ข 72 โ€ข Free

Data Innovators Exchange

Public โ€ข 179 โ€ข Free

Data Alchemy

Public โ€ข 19.7k โ€ข Free

AI Automation Agency Hub

Private โ€ข 32.5k โ€ข Free

Voice AI Accelerator

Private โ€ข 765 โ€ข Free

2 contributions to Data Innovators Exchange
Event Times
I am seeing this event on the calendar: Data Vault Friday Tomorrow @ 4am - 4:30am Just a note, if events are done in the PM, it would be more accessible for the folks in the US. We are 7 hours behind.
3
3
New comment Aug 16
Event Times
Data Mesh vs Data Vault?
Do you agree or disagree with Perplexity.ai 's analysis? 1. Ownership and Structure Data Mesh is fundamentally about decentralising data ownership and treating data as a product. In this approach, data is managed by cross-functional, domain-specific teams, each responsible for their own data products. This decentralization aims to eliminate bottlenecks and empower teams to innovate independently. On the other hand, Data Vault is a centralised data modelling methodology designed for building scalable and flexible data warehouses. It organizes data into three core components: Hubs, Links, and Satellites, which help maintain historical tracking and ensure data integrity. 2. Use Cases and Flexibility Data Mesh is best suited for large-scale, domain-diverse organisations that need to democratise data ownership and processing. It promotes agility and adaptability by allowing each domain to manage its data independently, adhering to company-wide standards. Conversely, Data Vault excels in environments with complex, evolving data landscapes. Its modular design allows for easy integration of new systems and changes, making it ideal for companies that require a robust, adaptable data warehousing solution. 3. Governance and Complexity Governance in Data Mesh is federated, meaning that while each domain has autonomy, there are overarching standards to ensure consistency and compliance. This approach can introduce organizational and cultural complexity due to the shift towards decentralization. In contrast, Data Vault focuses on technical governance through its standardized modeling techniques, ensuring data lineage, auditability, and resilience. While Data Vault can be technically complex due to its specific modeling requirements, it provides a structured approach to managing data integration and historical tracking. Agree or disagree? Let us know your point of view Citations: [1] https://atlan.com/data-mesh-vs-data-vault/
Poll
1 member has voted
6
18
New comment Aug 17
Data Mesh vs Data Vault?
1 like โ€ข Jul 31
I am sorry for not being one of the smart people who were not tricked by this poll.
1-2 of 2
Mehmet Dogan
1
1point to level up
@mehmet-dogan-9198
Expert of none, jack of all.. backend engineer, data engineer, team lead..

Active 6h ago
Joined Jul 17, 2024
powered by