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Week in the Life of an Analyst at Gartner US IT Symposium (virtual) 2021

Andrew White

Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13. Data Management Infrastructure/Data Fabric 5.

IT 52
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Salesforce and the (single source of) Truth about Customer 360

Andrew White

If I am moved to write research about a vendor, I’ll write it and publish it behind our pay wall, in the assumption the advice is valuable. This acquisition followed another with Mulesoft, a data integration vendor. If you read my blog regularly then you know I rarely write about IT vendors.

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Dimensional modeling in Amazon Redshift

AWS Big Data

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

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3-Tier Architecture: Everything You Need to Know

FineReport

Therefore, As long as follow the interface standards and use the same entity classes of the object model, it allows different developers to work on each layer, which can significantly improve the development speed of the system. It supports multiple data sources and data integration. .

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

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How to Pinpoint Where Your Organization Wins (and Loses) with Data

CIO Business Intelligence

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. For data warehouses, it can be a wide column analytical table. Data and cloud strategy must align.

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Augmented data management: Data fabric versus data mesh

IBM Big Data Hub

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? 11 May 2021. .