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The Cloud Goes On-Premises: AWS Outposts

Sisense

However, in some cases, there are special latency or local data processing requirements that necessitate keeping the data on-premises. This used to effectively limit the ability of these companies to make full use of the many benefits that the cloud offers. Data teams: The latest IT practices.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. Before starting any business venture, you need to make the most crucial step: prepare your data for any type of serious analysis.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. The reason data literacy plays such an important role in choosing the right technology solutions is that it directly impacts the quality of the requirements list. Key Language of Applied Analytics.

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How Cloudinary transformed their petabyte scale streaming data lake with Apache Iceberg and AWS Analytics

AWS Big Data

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. Cloudinary data retention for the specific analytical data discussed in this post was defined as 30 days.

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The art and science of data product portfolio management

AWS Big Data

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. All of this complicates the processes and collaboration needed to perform DPPM effectively.