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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy.

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StormForge Optimize Live now available in the IBM Cloud Catalog

IBM Big Data Hub

However, while Kubernetes offers an array of benefits in terms of application management and development efficiency, its implementation is not without challenges. As more businesses migrate to Kubernetes-driven environments, an unintended consequence has become increasingly apparent: a surge in cloud costs.

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. GPUs can rapidly process large datasets and greatly decrease time spent training machine learning models.

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Optimizing the Energy Sector with Data Analytics

Cloudera

With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. Organizations working in traditional energy generation will have to adjust costs by improving the efficiency of these plants. Investment is unavoidable, so the question becomes about smart investment.

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Enabling NVIDIA GPUs to accelerate model development in Cloudera Machine Learning

Cloudera

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. .

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Optimizing energy production with the latest smart grid technologies

IBM Big Data Hub

A smart grid is a digital electricity network that supplies power to consumers using interactive two-way communication, enabling automated, advanced energy delivery and a litany of opportunities for consumers to control their electricity use and costs. And real-time grid monitoring is vital for optimizing smart grid technology.

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Business process reengineering (BPR) examples

IBM Big Data Hub

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. This blog outlines some BPR examples that benefit from a BPM methodology.