Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. “The weakness of a data lake is they fail when you need to access them fast,” Pawlowski said.

Analytics 180

Analytics Infrastructure Storage Efficiency 180

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

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

SEPTEMBER 6, 2013

Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. Here are some great examples from different industries each with unique use cases. Shell leverages AWS for big data analytics to help achieve these goals.

Cloud 129

Cloud Energy AWS Healthcare 129

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. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it. At werner.ly Syndication.

Servers 126

Servers Social Media AWS Website 126

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. The test data management for the company had become a big problem and had to be solved.

Testing 60

Testing Storage Database Processing 60

All Things Distributed

JUNE 29, 2011

For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. 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

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

JANUARY 11, 2011

The one thing that I have always struggled with during my travels are the data plans of the cell phone companies. One wireless company for example has an international plan that will charge you $25 per month for 50MB after which they will charge you $20 per MB. Driving Storage Costs Down for AWS Customers. At werner.ly

Wireless 107

Wireless AWS Internet Internet 107

All Things Distributed

MAY 24, 2011

allthingsdistributed.com) point to same location where for example www.allthingsdistributed.com is pointing to jump through complex redirect hoops. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. At werner.ly

Internet 114

Internet Internet AWS Scalability 114

All Things Distributed

APRIL 23, 2010

As examples of such services I always use Twillio (voice &sms) and Simplegeo (location), but it is time to start building out my knowledge of all the different services that are in the ecosystem. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly Syndication. or rss feed.

AWS 60

AWS Storage Cloud Big Data 60

All Things Distributed

DECEMBER 3, 2009

This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. Contact Info. Werner Vogels.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

DECEMBER 5, 2010

A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. Modern systems require much faster update propagation to for example deal with outages. Driving Storage Costs Down for AWS Customers. At werner.ly

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

APRIL 28, 2010

Jurisdictions - Some customers face regulatory requirements regarding where data is stored. For example, objects stored in the EU (Ireland) Region never leave the EU. For example, there is a large European Insurance company that is looking to expand their EU-based product offerings to the Asia Pacific market. At werner.ly

AWS 61

AWS Cloud Latency Storage 61

All Things Distributed

DECEMBER 3, 2009

But customers have also asked us for more flexibility and control in the way that Amazon EC2 instances are booted such that they have finer grained control over for example what software configurations and data sets are available to the instance at boot time. with new security patches installed), or add new user data.

AWS 60

AWS Storage Operating System Cloud 60

All Things Distributed

JULY 13, 2010

Further computationally intensive, highly parallel workloads have found their way to Amazon EC2 as businesses have explored using HPC types of algorithms for other application categories, for example to to process very large unstructured data sets for Business Intelligence applications. Driving Storage Costs Down for AWS Customers.

Cloud 118

Cloud AWS Automotive Latency 118

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. Many of these services often have the requirement to do a fast lookup for this fine-grained data which is generated periodically.

Latency 243

Latency Storage Big Data Tuning 243

All Things Distributed

DECEMBER 13, 2009

Consistently we have lowered compute, storage and bandwidth prices based on such cost savings. Ideally these applications will periodically save their state into, for example, EBS or Amazon S3 and upon restart read the last saved state and continue their work. Driving Storage Costs Down for AWS Customers. At werner.ly

Cloud 63

Cloud AWS Storage Innovation 63

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

DECEMBER 13, 2016

Take Peterborough City Council as an example. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

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. It is deeply integrated into everything we do.

Technology 151

Technology Technology AWS Storage 151

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 71

Storage Cloud AWS Scalability 71

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. Databricks Delta is a perfect example of this class. Machine learning meets data integration.

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. This enables Amazon S3 to know what document to serve if one isnt explicitly requested: for example [link]. Driving Storage Costs Down for AWS Customers.

AWS 134

AWS Website Storage Servers 134

All Things Distributed

MARCH 28, 2011

Our smart phones and tablets are obvious examples, but many other devices are quickly gaining these capabilities; TV Sets and Hifi systems are internet enabled, and soon our treadmills and automobiles will be equally plugged into the digital world. Driving Storage Costs Down for AWS Customers. At werner.ly Syndication. or rss feed.

AWS 138

AWS Cloud Storage Internet 138

All Things Distributed

FEBRUARY 25, 2011

A simple scenario is for example the ability to clearly identify production from staging and development environments. If you want to see an example of how a simple application such as the Wordpress blogging platform can configured and created using AWS CloudFormation see the detailed posting by Jeff Barr at the AWS developer blog.

AWS 121

AWS Cloud Scalability Storage 121

All Things Distributed

DECEMBER 9, 2010

This is especially true for customers managing HD video or data-intensive instruments such as genomic sequencers. For example, a 2-hour movie on Blu-ray can be 50 gigabytes. By supporting such large object sizes, Amazon S3 better enables a variety of interesting big data use cases. At werner.ly Syndication. or rss feed.

AWS 80

AWS Big Data Scalability Storage 80

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. GPUs work best on problem sets that are ideally solved using massive fine-grained parallelism, using for example at least 5,000 - 10,000 threads. Driving Storage Costs Down for AWS Customers. At werner.ly Syndication. or rss feed.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

FEBRUARY 24, 2010

If you need to achieve high-availability and scalable performance, you will need to resort to data replication techniques. For example updates to data now needs to happen in several locations, so what do you do if one or more of those locations is (temporarily) not accessible? Driving Storage Costs Down for AWS Customers.

AWS 69

AWS Latency Database Scalability 69