Modern-day organizations gather huge amounts of data from diverse types of systems, such as application servers, platforms, CRM and ERP systems, and databases. Getting access to such type of data and analyzing it may be quite a challenge. You can make use of proper data integration to resolve such type of challenges and produce a unified view of your overall company’s data. Some companies even use google ads data connector to ensure that their ads smoothly and efficiently connect.
You know what, nearly eighty percent of business operations executives say that data integration is absolutely critical to their present operations. For this purpose, you can make use of a data integration tool, which is a kind of software that can simply move data from your source systems to even destination systems.
With so many diverse options in the market, selecting a data integration tool is not going to be a straightforward process. In case you do choose the wrong tool, it may impact how your data infrastructure works that have a direct influence on your business operations. That is the reason that you require to have proper things in mind technical considerations that might help you to pick the right data connector or integration tool.
Moving Data From Sources to Destinations
The foremost step is to consider what data sources as well as destinations you have so you can simply look for data connectors that can move data between those. Of course, it could be the possibility that you want the data to move between your platform and the ads right? So, it can differ from the need to need.
Generally, data sources in a company can include data sets in overall spreadsheets, accounting software, web tracking, customer relationship management systems (crm), marketing tools, enterprise resource planning systems (ERPs), databases, and more. In case you are simply planning to aggregate information from diverse sources and load them into simple data repositories for storage or even analysis, you require to look for destination coverage. This encompasses coverage for relational databases (e.g., overall oracle), data warehouses (e.g., Snowflake), and even data lakes (e.g., AWS S3).
You should list all your present and future potential sources as well as destination systems, and ensure your prospective tool offers coverage for all sorts of them. The point is simple, different tools have a different scope of adding connectors.
Always remember that data connectors differ from tool to tool. Just because a tool comes with a data connector of your choice doesn’t necessarily mean it is going to be user-friendly. Some data connectors are challenging to set up which can make it tough for end users to simply move the data. Therefore, compare the user-friendliness of connectors before you decide on a data integration tool.
Automation for convenience
A data integration tool should must manual efforts that are needed during the time of data integration. Some things your tool must automate include:
- Management of data types: alterations in the schema can change the kind of a specific value, i.e., from float to that integer. A data integration tool must not require manual intervention to settle data between the source and even the target system.
- Automatic schema evolution: since the applications change, they may actually alter the underlying schemas (e.g. Adding or dropping columns, changing names). Your tool’s connectors must accommodate these changes automatically in the absence of deleting fields or even tables. This makes sure that your data engineers don’t need to perform fixes after the data integration process. Search for a tool that simply supports automatic schema evolution.
- There should be constant sync scheduling: Based on how frequently your organization requires data to be updated, go for the tool that offers simply continuous sync scheduling. This feature permits you to set fixed intervals to simply sync data at regular and even short intervals. For instance, you can easily set your CRM system to simply sync data with your data warehouse every single hour. In case you wish to have more convenience, you can look for a data integration instrument that supports real-time integration, permitting you to move ad data inside a few seconds.
Flexible Duplication Support to Copy Data in manifold ways
On the basis of your needs, you could need to replicate data in more ways than simply one. It is why your data integration must have flexible support on how you can simply replicate your data. For example, full type of data replication copies all data , no matter it is new, updated, or even current — from source to even destination. It is a great option for small tables or even tables that don’t really have a primary key. However, it is going to be not efficient, as it may take up more time as well as resources.
On the other hand, log-based incremental replication simply copies data by reading the data logs, tracking changes, and even updating the overall target system accordingly. It’s much more efficient as it minimizes overall load from the source since it just streams changes contrary to full data replication which streams all data. Even if you have an opinion that you only need a particular type of replication right now, it would be nice if you consider getting a tool that offers more flexibility, so you can simply adapt as your organization simply scales up.
Proper security features for protection of data
In general , a cyber incident expenses more than simply $9.05 million to U.S. businesses. It is the reason you require to prioritize data security and search for features in your tool that can simply help you guard the sensitive data. Over the last few years, cyber-attacks have wreaked havoc more than industries and compromised data security for numerous organizations. These attacks encompass ransomware, phishing, spyware, and more.
Not all types of users in your organization must have the authorization to form up , edit, or remove data connectors, data transformations, or even data warehouses or carry out any other sensitive move. You should go for a too that permits you to grant diverse access levels to the team members.
Conclusion
To sum up , you can check out Facebook ads data connector and ensure that you make the most of it for your Facebook advertising. Since you know what things to consider, make a choice accordingly.
