Architecture Business Intelligence Data Engineering Groups 
CIO
NOVEMBER 9, 2022
But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. Users have freedom to slice and dice the data without technical know-how,” he says.
CIO
FEBRUARY 13, 2023
Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).
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Lacework
NOVEMBER 1, 2023
This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference.
Apiumhub
AUGUST 12, 2021
He has spoken at many conferences, user groups, etc., His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. He can regularly be seen on conferences and user groups, speaking on Cloud related topics, with a strong focus on Azure.
Altexsoft
FEBRUARY 8, 2021
diversity of sales channels, complex structure resulting in siloed data and lack of visibility. 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.
Altexsoft
JULY 19, 2022
In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.
Altexsoft
SEPTEMBER 9, 2022
In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.
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