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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

The challenges continue: one 2023 survey found 44% of companies had to make changes in the past year due to issues with their supply chain footprint, and 49% said supply chain disruptions had caused planning problems.

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Hyperscale vs. colocation: Go big or go rent?

IBM Big Data Hub

Other leaders remind you that the company’s primary allegiance is to the bottom line and that your solution needs to be cost-effective and “thread the needle” by providing the most return for the least investment possible. Development costs to survey the land, clear the site and prepare it for construction.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

These efforts often go hand in hand with broader corporate sustainability initiatives and can lead to significant cost savings and improved environmental performance. Instead of seeing things as disposable, it encourages the reuse and recycling of products. trillion in economic benefits by 2030.

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The future of 5G: What to expect from this transformational technology

IBM Big Data Hub

The number of networks also continues to grow, with many popular Internet Service Providers (ISPs) like Verizon, Google and AT&T, offering 5G connectivity in both homes and businesses. Supply chains As 5G connectivity spreads, supply chains everywhere will benefit from its lightning-fast speeds and increased reliability.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

Compaction is the process of combining these small data and metadata files to improve performance and reduce cost. Performance of Iceberg reads with the compaction utility on Amazon EMR In the following steps, we demonstrate how to use the compaction utility and what performance benefits you can achieve.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Big Data Hub

Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary. Watsonx.data uses cost-efficient compute and storage and fit-for-purpose query engines such as Presto and Spark, that automatically scale up and down. This helps remove unnecessary network and infrastructure latencies and reduce cost and security vulnerabilities.

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NVMe vs. SATA: What’s the difference?

IBM Big Data Hub

In addition to its improvement in data storage capacity and transfer technology, NVMe also contributed to the development of other important technologies that were developing around the same time, including the Internet of Things (IoT) , artificial intelligence (AI) and machine learning (ML). appeared first on IBM Blog.