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Upcoming of the learned data structures

Abhishek Tiwari

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory.

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What is a Distributed Storage System

Scalegrid

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. These systems safeguard against the risk of data loss due to hardware failure or network issues by spreading data across multiple nodes.

Storage 130
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RedisĀ® Monitoring Strategies for 2024

Scalegrid

This includes latency, which is a major determinant in evaluating the reliability and performance of your RedisĀ® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130
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The Future in Visual Computing: Research Challenges

ACM Sigarch

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). Last but not least, the ability to auto-generate optimal neural networks (e.g. interactive AR/VR, gaming and critical decision making).

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5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache. Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants. Machine learning meets data integration.