All Things Distributed

AUGUST 18, 2011

Amazon Elastic MapReduce takes away much of this muck by providing a hosted Hadoop framework that enables businesses, researchers, data analysts, and developers to easily and efficiently spin up resizable clusters for distributed processing of large data sets. However, this cannot be done without efficient, scalable data analytics.

Big Data 112

Big Data Analytics AWS Scalability 112

Tim Kadlec

JANUARY 9, 2019

Ballooning bandwidth and storage have fostered complacency that we can do without. In a 2012 paper, The American Council for an Energy-Efficient Economy estimated the internet uses 5 kWh on average to support every GB of data. Performance is conservation. Again, this isn’t hyperbole. Let’s run with that for a second.

Performance 111

Performance Energy Internet Internet 111

All Things Distributed

NOVEMBER 15, 2010

By Werner Vogels on 14 November 2010 04:00 PM. Now that our ability to generate higher and higher clock rates has stalled and CPU architectural improvements have shifted focus towards multiple cores, we see that it is becoming harder to efficiently use these computer systems. Driving Storage Costs Down for AWS Customers.

AWS 136

AWS Latency Programming Architecture 136

Percona

JANUARY 14, 2019

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. created_utc?? ?

Database 40

Database Analytics Blockchain Healthcare 40

Smashing Magazine

OCTOBER 29, 2019

Here’s what Google suggests: PageSpeed Insights demonstrates how much storage and bandwidth websites stand to save with WebP. Google developed WebP back in 2010 after acquiring a company called On2 Technologies. WebP handles this type of compression more efficiently and effectively. So, what’s the solution? What is WebP?

Website 72

Website Speed Cache Google 72

All Things Distributed

DECEMBER 13, 2009

The broad Amazon EC2 customer base brings such diversity in workload and utilization patterns that it allows us to operate Amazon EC2 with extreme efficiency. Consistently we have lowered compute, storage and bandwidth prices based on such cost savings. Driving Storage Costs Down for AWS Customers. Different Purchasing Models.

Cloud 63

Cloud AWS Storage Innovation 63

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 99

Hardware Storage Big Data Blockchain 99