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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. On 21 May we will be providing a deep dive into these architectural patterns with an engineer from SAS.

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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics. Supply chain management process.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets. By capitalizing on the business value of fast-moving and real-time analytics, we can do some game changing things.

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Data Summit 2023 Event Recap

Datavail

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. He outlined several key criteria to consider such as scalability, performance, cost, reliability, security, and support.

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Altexsoft - Untitled Article

Altexsoft

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Summarized touches upon the fact the data is used for data analytics. Data warehouse architecture. Let’s go through the architectural components of both. Cloud data warehouse architecture.

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Attention All Pentaho Users: More Proof You Are In Good Company

CTOvision

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. The introduction of Pentaho Business Analytics 5.0

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