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! ! ! ! ! ! Data sharing and replication! Geneva Vargas Solar French Council of scientific research, LIGLAFMIA, FranceGenoveva.Vargas@imag.fr http://www.vargassolar.com2Data all around! By 2014 it

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How to fill out data sharding and replication

01

Determine the criteria for sharding the data, such as customer location or product category.

02

Develop a sharding strategy based on the chosen criteria, dividing the data into distinct shards.

03

Implement a replication strategy to ensure redundancy and fault tolerance, copying data from one shard to another.

04

Monitor and adjust the sharding and replication processes as needed to optimize performance and scalability.

Who needs data sharding and replication?

01

Large organizations with massive amounts of data that need to be distributed across multiple servers for improved performance and scalability.

02

Companies with geographically dispersed users who require data to be located closer to them for faster access.

03

Businesses that require high availability and fault tolerance in case of server failures or data loss.

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What is data sharding and replication?

Data sharding is the process of partitioning a database into smaller, more manageable pieces, called shards, distributed across multiple servers, whereas data replication involves duplicating the data across different servers to ensure data availability and reliability.

Who is required to file data sharding and replication?

Organizations and businesses that manage large databases and utilize sharding and replication techniques as part of their data storage and management strategies are required to file data sharding and replication.

How to fill out data sharding and replication?

To fill out data sharding and replication, one must provide detailed information about the data architecture, including the method of sharding used, the schema of each shard, and the replication strategy along with the number of copies maintained and their locations.

What is the purpose of data sharding and replication?

The purpose of data sharding and replication is to enhance database performance and scalability by distributing data across different servers while also ensuring data redundancy and high availability in case of server failures.

What information must be reported on data sharding and replication?

Organizations must report information such as the number and types of shards, replication strategies employed, data consistency models, and any potential risks associated with the sharding and replication processes.

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