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Download our enterprise architecture (EA) tools buyer’s guide

CIO

In the beginning, no one needed enterprise architecture (EA) tools. The back of an envelope would do in the early years. The modern enterprise, however, is much different. It needs EA tools.

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Download our enterprise architecture (EA) tools buyer’s guide

CIO

In the beginning, no one needed enterprise architecture (EA) tools. The back of an envelope would do in the early years. The modern enterprise, however, is much different. It needs EA tools.

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Machine learning model serving architectures

Xebia

Selecting the right architectural serving pattern is paramount in creating the most business value from your model. In this blog we will discuss the most common serving architectures 1 ; batch predicting, on-demand synchronous serving and streaming serving. How to choose your serving architecture? It doesn’t have to be.

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Transitional Architecture

Martin Fowler

Ian Cartwright, Rob Horn, and James Lewis explain how to build and evolve a Transitional Architecture that supports this collaboration as it changes over time. For this to work, intermediate configurations may require integrations that have no place in the target architecture of the new system.

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Apache Cassandra® NoSQL for the Relational DBA

Gain insights into Cassandra's architecture, configuration strategies, and best practices. Learn from Lewis DiFelice, an experienced Professional Services Consultant at Instaclustr, as he shares his journey transitioning from SQL to managing a 40-node Cassandra cluster. Download now and revolutionize your database operations!

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Agile Architectures

Agile Alliance

Some folks swear a microservices architecture is always a good choice and that a monolith architecture is always a bad choice. Come to think of it – what architecture is a good choice for you and your product? Not all software architectures are equal. The post Agile Architectures first appeared on Agile Alliance.

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What is enterprise architecture? A framework for transformation

CIO

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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Use Cases for Apache Cassandra®

From understanding its distributed architecture to unlocking its incredible power for industries like healthcare, finance, retail and more, experience how Cassandra® can transform your entire data operations.

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7 Pitfalls for Apache Cassandra in Production

Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases.

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Embedding BI: Architectural Considerations and Technical Requirements

Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures. Holding onto old BI technology while everything else moves forward is holding back organizations.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases.

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Build Your Open Data Lakehouse on Apache Iceberg

Speaker: Veena Vasudevan and Jason Hughes

With data stored in vendor-agnostic files and table formats like Apache Iceberg, the open lakehouse is the best architecture to enable data democratization. In this webinar, Dremio and AWS will discuss the most common challenges in data architecture and how to overcome them with an open data lakehouse architecture on AWS.

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Best Practices for Deploying & Scaling Embedded Analytics

Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.

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Top Considerations for Building an Open Cloud Data Lake

In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users. The primary architectural principles of a true cloud data lake, including a loosely coupled architecture and open file formats and table structures.