Rebuilding Reliable Data Pipelines Through Modern Tools

Rebuilding Reliable Data Pipelines Through Modern Tools

Digital Streams series. Composition of numbers, lights and design elements on the subject of digital communications, data transfers and virtual reality

Organizations today are building strategic applications using a wealth of internal and external data. Unfortunately, data-driven applications that combine customer data from multiple business channels can fail for many reasons. Identifying the cause and finding a fix is both challenging and time-consuming.

Oct 3, 2019
1 minute read

For organizations to succeed, they must test and monitor when planning, building, automating, and managing robust data pipelines in the cloud, on premises, or in a hybrid configuration.

In this O’Reilly eBook, sponsored by Unravel, you’ll learn:

  • The processes and tools required to build and manage modern data pipelines, such as performance management software.
  • How AI is used to provide insights, recommendations, and automation when operationalizing big data systems and data applications.
  • To plan, migrate, and operate big data workloads and data pipelines using cloud-based and hybrid deployment models.

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