Replicating ServiceNow data in to a data lake

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Replicating ServiceNow Data in a Data Lake
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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

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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.

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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

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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
  developers primary role, time spent on
  implementing and maintaining the integration will
  interfere with and delay other tasks.

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Contact Us

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  Suite 100, Austin, TX 78759
• Contact 1 888 620 8880
• E-mail info_at_perspectium.com
• More information about the topic visit
  https//www.perspectium.com/blog/replicating-serv
  icenow-data-in-a-data-lake-a-guide/