Replicating ServiceNow Data in a Data Lake (1)

1. Replicating ServiceNow Data in a Data Lake

2. What is a Data Lake? A data lake is a centralized and scalable repository for storing data. In a data lake, data can be stored in its raw, unstructured format and without schema or constraints such as size limits. Data lakes can be used for tasks such as predictive analytics and reporting, or even act as a source of data for other applications. They can support business leaders seeking to obtain a 360-degree view of their operations, and provide different teams and systems with the data they require to function. As data lakes often contain large volumes of data, they can also be a good source of data for machine learning and artificial intelligence initiatives

3. Benefits of Replicating ServiceNow Data in a Data Lake Integrations that replicate ServiceNow data in a data lake deliver the following benefits: Improved ServiceNow performance Running data-heavy reports and/or performance analytics on ServiceNow consumes system resources, slowing down performance. Organizations can instead run complex reporting and analysis operations within the data lake, or in dedicated reporting and analytics solutions integrated with the data lake. Greater data democratization Replicating ServiceNow data in a data lake allows organizations to efficiently distribute data throughout the enterprise without purchasing additional ServiceNow licenses. This promotes self-serve analytics, enabling employees to better use the data and collaborate with colleagues across solutions and departments. Improved data access availability Multiple data copies across various locations reduce latency, optimize data retrieval, especially for remote users, and reduce cache misses.

4. How to Replicate ServiceNow Data to a Data Lake? Since data lakes are designed for storing large amounts of data, relying on manual data extraction and replication methods is unsuitable. Instead, organizations should utilize integrations as they provide an automated, consistent means of replicating data externally. However, organizations must consider the type of integration they implement carefully, and the impact it may have on ServiceNow and business operations. • See also:Why You Should Avoid Web Services and API ServiceNow Integrations

5. DIY/Custom integrations Integrations built, implemented and maintained internally, allowing the organization to implement a solution for its specific requirements. However, planning and implementing an integration is a significant undertaking that requires expertise and experience – particularly for business critical solutions like ServiceNow. While organizations may aim to implement an integration that meets their requirements, there is no guarantee that the goal will be realized, leading many custom integrations to become a costly technical debt. Significant resources are required for implementation and maintenance – adding significant hidden costs over time – and the integration is also threatened by developer turnover and poor documentation. If maintaining the integration is not the developer’s primary role, time spent on implementing and maintaining the integration will interfere with and delay other tasks.

6. Contact Us Location: 10801 N Mopac Expressway, Building 1, Suite 100, Austin, TX 78759 Contact: +1 888 620 8880 E-mail: info@perspectium.com More information about the topic visit https://www.perspectium.com/blog/replicating-servicenow-data-in-a-data-lake-a-guide/