Remove Big Data Remove Data Architecture Remove Data Integration Remove Prescriptive Analytics
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Start a trial. Start a trial. AI governance.

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What Is Embedded Analytics?

Jet Global

Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Ideally, your primary data source should belong in this group.