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Data Mesh

Software   Concept   Jan    ðŸ‘€ Early     


Data Mesh is a new approach to data architecture that emphasizes decentralization and domain-driven ownership of data. It involves breaking down data silos and creating a self-serve data infrastructure that enables teams to own and manage their own data products.
This is a seasonal trend that repeats every January.
This trend is forecasted to be growing in the next 2 years.

  

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720
searches/mo

 12 Months
Trend: declining
MOM change: -0.07%
 5 Years
Trend: growing
MOM change: 2.52%

Top reasons why this topic is getting popular

1. Scalability

Data Mesh enables organizations to scale their data infrastructure by distributing ownership and responsibility for data across teams. This allows for faster development and deployment of data products, as well as easier maintenance and scalability.

2. Flexibility

Data Mesh allows for greater flexibility in data management, as each team can choose the tools and technologies that work best for their specific domain. This reduces the need for centralized IT support and enables teams to innovate and experiment with new technologies.

3. Improved Data Quality

Data Mesh promotes better data quality by encouraging teams to take ownership of their data and ensuring that data is properly documented and maintained. This reduces the risk of data inconsistencies and errors, and improves the overall quality of data products.

4. Increased Collaboration

Data Mesh fosters collaboration between teams by breaking down data silos and enabling teams to share data and insights more easily. This leads to better decision-making and more efficient use of resources.

5. Better Data Governance

Data Mesh promotes better data governance by ensuring that data is properly managed and secured at the domain level. This reduces the risk of data breaches and ensures compliance with data privacy regulations.

Who's talking about this trend?

1. Lorenzo Tlacaelel (@datamesh)

Data Mesh designer and consultant sharing insights and knowledge about the approach on his Instagram account.

2. Zhamak Dehghani (@zhamakd)

Thought leader and influencer in the Data Mesh community, sharing her expertise and insights on her Instagram account.

3. Lakshmi Randall (@lrandallanalytics)

Data Mesh practitioner and influencer sharing her experiences and insights on implementing the approach on her Instagram account.

4. Mayank Mishra (@mayank_74)

Data Mesh enthusiast and influencer sharing his learnings and insights on the topic on his Instagram account.

5. Miklos Cari (@data_miklos)

Data Mesh consultant and influencer sharing his knowledge and experiences with the approach on his Instagram account.