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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

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Finland’s Most-Wanted Hacker Nabbed in France

Hacker News

From that story: “Among those who grabbed a copy of the database was Antti Kurittu , a team lead at Nixu Corporation and a former criminal investigator. There were also other projects and databases.” According to the French news site actu.fr , Kivimäki was arrested around 7 a.m.

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Blockchain: The Fall of Traditional Centralized Systems in Business & Finance

Smart Data Collective

Following a financial crisis back in 2008, the world’s financial system was still recovering and undergoing massive changes. According to Investopedia.com, blockchains are databases that are irreversible and decentralized which makes it a great tool for business and finance in a new technological era.

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Hadoop Solutions Make Frugal Living and Extreme Couponing Easier than Ever

Smart Data Collective

. Frugal living has become a major fad since the onset of the recession in 2008. The good news is that new coupon databases have a number of different search features that people can use. This is another advantage of using new were coupon databases. Consumers saved $3.1 billion with coupons in 2017.

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Conversation with Theresa Kushner

Women in Big Data

That led me to work side by side with the IT lead who was responsible for creating a database for marketing. Maria Villar was the IT IBM executive and in 2008, we wrote a book together on how to manage your business data. When I was at Cisco in 2008, big data was THE topic for all companies.

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Knowledge Graph QA using Gemini and NebulaGraph Lite

Towards AI

Graph databases and knowledge graphs are among the most widely adopted solutions for managing data represented as graphs, consisting of nodes (entities) and edges (relationships). Knowledge graphs extend the capabilities of graph databases by incorporating mechanisms to infer and derive new knowledge from the existing graph data.

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Mainframes vs Midrange Servers: What’s the Difference, Anyway?

Precisely

The most common mainframe databases are DB2, IMS, IDMS, and Adabas. DB2 is the most common database of choice for these midrange servers. Technically, however, since 2008, IBM’s nomenclature for midrange servers has been Power Systems, so that’s the most appropriate term to use today. Mainframes run unique software (sometimes).