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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets. What is MariaDB?

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File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

While different systems require different features from a storage backend, two of these features, (1) efficient transactions and (2) fast metadata operations appear to be common; another emerging requirement is (3) support for novel, backward-incompatible storage hardware. The first implementation (c. Making metadata operations fast.

Storage 64
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Structural Evolutions in Data

O'Reilly

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” “Here’s our risk model.

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Data Mining Problems in Retail

Highly Scalable

More specialized data mining applications like supply chain optimization and fraud detection are out of scope, as well as the implementation details of the data mining process (such as evaluation of model quality). It reduces the noise by discarding minor fluctuations that simply do not fit the smaller basis.

Retail 152
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The Obsession with Metrics

The Agile Manager

Rewarding people for hitting financial targets created trading for trading's sake and runaway bonuses, culminating in an "I'll be gone, you'll be gone" culture that intensified the 2008 financial crisis. The misplaced beliefs pointed out by Dr. Mueller lead to the undesirable outcomes described by Dr. Kay.

Metrics 40
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Solaris to Linux Migration 2017

Brendan Gregg

There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks.

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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. Processed 4.15