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The future of data: A 5-pillar approach to modern data management

CIO

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. Not my original quote, but a cardinal sin of cloud-native data architecture is copying data from one location to another.

Data 167
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SAS and Apache Hadoop for Government

CTOvision

New in the CTOvision Research Library: We have just posted an overview of an architectural assessment we produced laying out best practices and design patterns for the use of SAS and Apache Hadoop, with a focus on the government sector. Download this overview at: SAS and Apache Hadoop for Government.

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21 May Webinar: SAS and Apache Hadoop Architecture Review

CTOvision

Register now for our 21 May webinar with SAS focusing on architecture and design patterns for optimizing SAS and Hadoop. SAS Business Analytics software is focused on delivering actionable value from enterprise data holdings. The post 21 May Webinar: SAS and Apache Hadoop Architecture Review appeared first on CTOvision.com.

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21 May Webinar Examines Architectural Best Practices For SAS and Apache Hadoop

CTOvision

on 21 May at 1pm, CTOvision publisher Bob Gourley will host a webinar SAS engineers in an overview of architectural best practices for SAS and Hadoop. For more information and to sign up see: SAS and Apache Hadoop For Government: Bringing the power of user-focused business analytics to big data. By Bob Gourley.

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New Release of Pentaho Business Analytics and Data Integration Platform Belongs In Your Enterprise

CTOvision

Editor’s note: The Pentaho approach to business analytics and data integration works well with existing legacy approaches to data and every new big data capability we have seen. of its business analytics and data integration platform , offering companies enhanced capabilities to scale up their big data operations.

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Webinar 21 May: SAS and Apache Hadoop for Government

CTOvision

Analysts are able to leverage comprehensive enterprise data stores by use of familiar interfaces and methods and with the well engineered SAS and Hadoop architecture can dramatically improve their results for mission. SAS Business Analytics software is focused on delivering actionable value from enterprise data holdings.

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Building a Beautiful Data Lakehouse

CIO

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. However, it also supports the quality, performance, security, and governance strengths of a data warehouse. Intel® Technologies Move Analytics Forward.

Data 178