All Things Distributed

JUNE 29, 2011

In Amazon Web Services there are similar dimensions that are forever important to our customers; scale, reliability, security, performance, ease of use, and of course pricing. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

APRIL 27, 2011

The storage systems weve pioneered demonstrate extreme scalability while maintaining tight control over performance, availability, and cost. For example, our Simple Storage Service, Elastic Block Store, and SimpleDB all derive their basic architecture from unique Amazon technologies. Driving Storage Costs Down for AWS Customers.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . Shell leverages AWS for big data analytics to help achieve these goals. Europe is a continent with much diversity and for each country there are great AWS customer examples to tell.

Cloud 129

Cloud Energy AWS Healthcare 129

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. We’ve seen similar high marshalling overheads in big data systems too.) Fetching too much data in a single query (i.e.,

Cache 79

Cache Latency Google Lambda 79

All Things Distributed

NOVEMBER 19, 2010

Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. By Werner Vogels on 19 November 2010 07:51 AM. Comments (). At werner.ly Syndication.

AWS 67

AWS Cloud Benchmarking Storage 67

Highly Scalable

MARCH 1, 2012

And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model. Of course, in many cases joins are inevitable and should be handled by an application. Many techniques that are described below are perfectly applicable to this model. 13) Materialized Paths.

Database 279

Database Ecommerce Efficiency Engineering 279

Highly Scalable

MAY 1, 2012

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191