The Morning Paper

DECEMBER 13, 2020

An overview of end-to-end entity resolution for big data , Christophides et al., It’s an important part of many modern data workflows, and an area I’ve been wrestling with in one of my own projects. Therefore we only have to do more detailed comparisons within blocks, but not across blocks. “ ACM Computing Surveys, Dec.

Big Data 83

Big Data Open Source Processing Analytics 83

The Netflix TechBlog

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations. This approach has a handful of benefits.

Traffic 339

Traffic Latency Tuning Systems 339

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Performance Comparison: Redis vs Memcached Although Redis and Memcached are high-performance in-memory data stores, their performance characteristics are distinct.

Cache 130

Cache Storage Scalability Architecture 130

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. All three sampling strategies are heavily used at Microsoft. VLDB’19.

Big Data 57

Big Data Analytics Latency Azure 57

The Netflix TechBlog

FEBRUARY 16, 2021

As we expand offerings rapidly across the globe, our ideas and strategies around plans and offers are evolving as well. In comparison, the API interface for consumer services should be consistent and static regardless of the business requirement iteration.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 97

Hardware Storage Big Data Blockchain 97

Smashing Magazine

JULY 29, 2019

These countries generally have a combination of poor technical infrastructure and low adoption, meaning data is both costly to deliver and doesn’t have the economy of scale to drive costs down. Data is expensive in parts of Europe too. A gigabyte of data in Greece will set you back $32.71; in Switzerland, $20.22. in the USA.

Cache 96

Cache Google Mobile Network 96