Data Replication Solutions
Data Replication Solutions
Data replication involves storing data in different locations to ensure easy availability and accessibility while improving reliability. It can also be seen as providing trusted data integration and synchronization to give room for efficient management of data.Data replication enriches big data system and even capture data as they grow. It offers so many benefits. First, having a replica of data makes access to data faster in large organizations with employees that work from different locations.
It also aids faster data recovery and ensures that there is an accurate backup of data during a disaster or hardware failure. Data replication improves users’ access and balances network load time; it ensuresbusiness continuity, optimizes data performance and leads to increased productivity.
How does Data replication work?
By replicating data, organizations and, IT departments are copying the same information into different locations. Data replication can be:
- From between on–premise host to another
- From multiple storage devices owned by the same host
- From a different host in one in another location
- Or from one cloud–based host to the other.
Data replication can be scheduled to be done in future or carried out in batches before written of data from the main source.
Methods for Data replication
There are different methods of data replication. They include:
Full Data Replication
Full data replication involves copying new, updated, and existing data from the source to a data center or new destination. This method guarantees a high level of data availability. However, there are some drawbacks to this method. Full data replication requires more processing powers and generates more network load time when copying. This leads to increased costs as data continues to grow. Other demerits include inconsistencies and slower update operations for every changing data.
Key-based Incremental Replication
This method is also known as key–based incremental loading. This is one of the most effective method of data replication because data changes care copied from one server to the other. In this method, just a few rows of data are copied in each update. However, on the downside, key–based incremental replication cannot be replicated on hard deleted data.
Here, the data stored in the database and shared into different sections. Each section are stored in different locations based on their importance. This type of data replication is useful for financial planners, salespeople, and insurance firms.
Log-based Incremental Replication
This type of data replication applies to database sources only. Here the replicated data is based on information from the database log file. The log file provides a list of all recent changes made to the database. This is the most efficient method of the three listed above.
Steps & Processes in Data replication
Step 1: Know the data source and destination where you want to replicate the same information
Step 2: Choose the tables and columns to be copied from the source
Step 3: Decide the frequency of the updates
Step 4: Choose the right data replication methods from the hose listed above.
Step 5: Choose a data replication tool to make the process effective
Step 6: Monitor the process for quality control and evaluate the results
Step 7: Make further recommendations.
What are the benefits of data replication?
Data replication offers so many benefits to the enterprise. Some of which include:
Fast Sharing of Data
Data replication makes room for the fast sharing of data among systems and networks; it makes data available in multi–sites.
Improved Network Performance
Data replication solution also increases network performance since data is stored in multiple locations, reducing data access latency.
With data replication, when a system goes down due to a cyber–attack, malware attack, or other unpredictable disasters, data can still be accessed by employees from other websites.
Improves Data Analytics
Replicating organization data in different warehouses also improves data analysis and allows teams to access business data inorder to make insights and decisions quickly.
Better Network Performance
Challenges of Data replication
Although data replication offers so many benefits, it also has some disadvantages. Some of these include:
The high cost of maintaining consistent data across multiple locations.
In addition, data replication is time–consuming; dedicated teams need to spend a lot of time managing and implementing data replication.
Furthermore, maintaining consistent data across multiple locations requires new procedures and even increases traffic to the network.
Pitfalls to avoid in data replication
Data replication involves a very complex process with lots of benefits. To enjoy these benefits, an organization must pay the price. Here are some pitfalls to avoid during data replication.
Controlling data update on different databases is more difficult than doing the same in a centralized database; data replication can cause some datasets to be out of sync; this is why businesses must ensure that all data are synched to ensure consistency. Thereplication process must be reviewed, revised, and optimized.
More storage space leading to Increased
Having more than one place to store your data also means more storage space, leading to increased costs. Furthermore, large data volume requires more processing and network capacity.
Why Choose DC Encompass Data Replication Services
Choosing the right data replication service that meets your business need is very important. At DC Encompass, we provide Data Replication Services that support a high volume of data with a low tenancy.
Our solution is perfect for large, small and medium scale organizations with multi–tasking workload distribution across different data centers. DC Encompass data center services are scalable, robust, and powerful to ensure thatthe right data is made available when you need them while enabling optimal resource utilization and increase return on investment. Our team of experts are available to provide the right assistant to you, we will analyse your data need and create a scalable solution that suits perfectly with your business goals.