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Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Data lakehouses deliver the query response with minimal latency. Data warehouses.

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What is a Distributed Storage System

Scalegrid

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. This makes adopting such sophisticated multi-node-based arrangements exceedingly advantageous from both operational efficiency and financial viewpoints.

Storage 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). Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems.

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

Abhishek Tiwari

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache. Machine learning meets data integration.