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MongoDB Enhances Developer Data Platform

David Menninger's Analyst Perspectives

It continues to position its document database product as a developer data platform which is primarily used to support the development and deployment of net-new applications rather than as a direct replacement for relational databases. The recent launch of MongoDB 8.0

Data Lake 130
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The data flywheel: A better way to think about your data strategy

CIO Business Intelligence

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Data & Analytics is delivering on its promise. Some are our clients—and more of them are asking our help with their data strategy. They needed IoT sensors, for example, to extract relevant data from the sites.

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Migrate Delta tables from Azure Data Lake Storage to Amazon S3 using AWS Glue

AWS Big Data

Organizations are increasingly using a multi-cloud strategy to run their production workloads. We often see requests from customers who have started their data journey by building data lakes on Microsoft Azure, to extend access to the data to AWS services. For this post, we use the Shared Key authentication method.

Data Lake 111
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Outdated business apps can cloud your AI vision

CIO Business Intelligence

Decades-old apps designed to retain a limited amount of data due to storage costs at the time are also unlikely to integrate easily with AI tools, says Brian Klingbeil, chief strategy officer at managed services provider Ensono. The aim is to create integration pipelines that seamlessly connect different systems and data sources.

Insurance 108
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What is data architecture? A framework to manage data

CIO Business Intelligence

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Data must be able to freely move to and from data warehouses, data lakes, and data marts, and interfaces must make it easy for users to consume that data.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities.

Insurance 250
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7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Here we take a look at Microsoft Azure’s essential analytics services, what they are used for, and how they come together to make a comprehensive stack for your analytics strategy in the cloud.

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