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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. It is clear that distributed in-stream data processing has something to do with query processing in distributed relational databases. Basics of Distributed Query 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

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types 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. Countdown to What is Next in AWS.

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

All Things Distributed

But while this blog happily runs out of S3, the process of creating and updating the content still required a server to run my Moveable Type installation and hold the database. My templates and blog posts are now located in DropBox and thus locally cached at each machine I use. Job Openings in AWS - Senior Leader in Database Services.

Servers 126