Scalegrid

MARCH 28, 2024

With these goals in mind, two in-memory data stores, Redis and Memcached, have emerged as the top contenders. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Data transfer technology. 3d render.

Cache 130

Cache Storage Scalability Architecture 130

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

JULY 7, 2011

AWS Import/Export transfers data off of storage devices using Amazons high-speed internal network and bypassing the Internet. With this new functionality AWS Import/Export now supports importing data directly into Amazon EBS snapshots. Driving Storage Costs Down for AWS Customers. At werner.ly Syndication.

AWS 98

AWS Cloud Storage Internet 98

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 130

Cloud Energy AWS Healthcare 130

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. I don’t think so in this case, but this paper will take you down into the nitty-gritty of getting the best out of modern processors and networks, with up to two orders of magnitude single node throughput gains to be had. What if the network was no longer the bottleneck?

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

AUGUST 16, 2011

Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. The scalability, flexibility and the elasticity of AWS makes it an ideal environment for the agencies to run their analytics. Driving Storage Costs Down for AWS Customers. At werner.ly

AWS 113

AWS Government Big Data Cloud 113

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. With the launch of the Asia Pacific (Tokyo) Region, companies can now leverage the AWS suite of infrastructure web services directly connected to Japanese networks. At werner.ly

AWS 114

AWS Cloud Games Latency 114

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

Servers 126

Servers Social Media AWS Website 126

Testsigma

FEBRUARY 12, 2021

The growing demand for IoT-testing is the government’s gradual acceptance of smart cities’ concept, which is why businesses are keen to incorporate IoT into their networks. of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7%

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 119

Cloud AWS Automotive Latency 119

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries.

Database 40

Database Analytics Blockchain Healthcare 40

All Things Distributed

DECEMBER 5, 2010

The naming system that we are all most familiar with in the internet is the Domain Name System (DNS) that manages the naming of the many different entities in our global network; its most common use is to map a name to an IP address, but it also provides facilities for aliases, finding mail servers, managing security keys, and much more.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

JANUARY 19, 2011

Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. The public beta release of AWS Elastic Beanstalk supports a container for Java developers using the familiar Linux / Apache Tomcat application stack. At werner.ly Syndication.

AWS 115

AWS Cloud Java Scalability 115

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

MAY 18, 2010

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. Comments ().

Storage 72

Storage Cloud AWS Scalability 72

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. At werner.ly Syndication. or rss feed.

Technology 151

Technology Technology AWS Storage 151

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

FEBRUARY 17, 2011

Since a few days ago this weblog serves 100% of its content directly out of the Amazon Simple Storage Service (S3) without the need for a web server to be involved. I have used a bucket policy to make all documents world readable, but you could create one that restricts it to referrers, network address range, time of day, etc.

AWS 134

AWS Website Storage Servers 134

All Things Distributed

DECEMBER 9, 2010

By supporting such large object sizes, Amazon S3 better enables a variety of interesting big data use cases. You can create parallel uploads to better utilize your available bandwidth and even stream data into Amazon S3 as its being created. Driving Storage Costs Down for AWS Customers. At werner.ly Syndication.

AWS 82

AWS Big Data Scalability Storage 82

All Things Distributed

NOVEMBER 15, 2010

Starting today Amazon EMR can take advantage of the Cluster Compute and Cluster GPU instances, giving customers ever more powerful components to base the large scale data processing and analysis on. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Where to go from here? At werner.ly

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

APRIL 19, 2010

Amazon Cloudfront is the Content Delivery Network (CDN) that is dead simple to use both from a technology and a business point of view. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. . | Permalink. Comments ().

Media 61

Media AWS Storage Big Data 61

All Things Distributed

FEBRUARY 24, 2010

Eric Brewer of UC Berkeley summarized these challenges in what has been called the CAP Theorem , which states that of the three properties of shared-data systems--data consistency, system availability, and tolerance to network partitions--only two can be achieved at any given time. Driving Storage Costs Down for AWS Customers.

AWS 70

AWS Latency Database Scalability 70