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How Much Should I Be Spending On Observability?

Honeycomb

The solution to these billing spikes is to delete or stop capturing any high-cardinality data. This is a zero-sum game. Over the long run, I think observability is moving towards a data lake type model. These are, after all, data problems.

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Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

These new technologies open up new risks such as phishing, identity theft, card skimming, viruses and Trojans, spyware and adware, social engineering, website cloning and cyber stalking and vishing (If you have a mobile phone, you’ve likely had to contend with the increasing number and sophistication of vishing scams).

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets. By capitalizing on the business value of fast-moving and real-time analytics, we can do some game changing things. We get optimized price/performance on complex workloads over massive scale data.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Then, real-time analytics joins the game, tracking sales trends and inventory left, making suggestions on replenishments, identifying best-selling items and those with worst performance (a so-called ABC analysis ), and so on. Only with such a holistic approach to data, you can build a prosperous business.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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Technology Trends for 2025

O'Reilly Media - Ideas

For all practical purposes, GPT was the only game in town back in 2023. These other models dont yet show up significantly in search or usage data, but the users of our platform have figured out whats important: not learning about GPT or Claude or Gemini or Mistral but getting the background you need to make sense of any model.

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