As traditional utilities embrace decentralization, the journey requires more than just adopting new field technologies. According to McKinsey’s Global Energy Perspective 2024 report, the global ...

Hadoop achieves this by breaking down large datasets into smaller blocks, distributing them across a cluster of commodity hardware, and processing the data in parallel, which significantly ...

High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed ...

Still, many organizations who invested heavily in the Hadoop ecosystem have found themselves at a crossroads, wondering what life after Hadoop is like and what lies ahead.

Their base is squarely in the Fortune 500 set where multi-petabyte Hadoop installations are (or were) the norm. When asked what pushed their largest users to finally ditch Hadoop, Mathur’s answer was ...

Hadoop might be dead, but that’s not stopping public cloud providers from using it. The latest to make a move is Microsoft Azure, which in July announced that it would begin developing its own ...

Hadoop helped popularize and simplify this analytical use of data in 2010, and since then the technology and techniques involved have developed at a break-neck speed. Hadoop’s project was massively ...

Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.

MapR is the first Hadoop vendor with an offering that is marketed as what we'd call artificial intelligence (AI) on Hadoop. But does AI on Hadoop make sense more broadly? And what are other Hadoop ...

Adhoc utility tools for Hadoop. Contribute to oching/hadoop-adhoc-tools development by creating an account on GitHub.