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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. Towards Unified Big Data Processing.

Big Data 154
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Use Digital Twins for the Next Generation in Telematics

ScaleOut Software

It sends messages over the cell network to the telematics system, which uses its compute servers (that is, web and application servers) to store incoming messages as snapshots in an in-memory data grid , also known as a distributed cache. The results of batch analysis are typically produced after an hour’s delay or more.

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Expanding the Cloud - Introducing Amazon ElastiCache - All Things.

All Things Distributed

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. Driving down the cost of Big-Data analytics.

Cloud 117
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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130
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What is a Distributed Storage System

Scalegrid

Handling a storage system spread across multiple physical servers introduces complexities such as unpredictability in behavior, difficulties with testing procedures, and an overall increase in administrative complexity due to the dispersed nature of data.

Storage 130
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Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

All Things Distributed

There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. Caching techniques ensure that the DNS system doesnt get overloaded with queries. No Server Required - Jekyll & Amazon S3.

Cloud 117
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No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

My templates and blog posts are now located in DropBox and thus locally cached at each machine I use. Driving down the cost of Big-Data analytics. There are a number of pages in the "categories" section that have not been regenerated as according to the website statistics not many of those were accessed.

Servers 126