All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Driving Storage Costs Down for AWS Customers. Comments (). Syndication.

Big Data 111

Big Data Analytics AWS Cloud 111

Percona

JANUARY 19, 2023

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. Make sure you design the data types correctly while planning for the future growth of the table. ibd -rw-r --.

Open Source 90

Open Source Storage Database Big Data 90

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

AUGUST 20, 2012

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. Data is retrieved by scheduling a job, which typically completes within 3 to 5 hours. All Things Distributed.

Storage 122

Storage Cloud AWS Media 122

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

The Netflix TechBlog

OCTOBER 15, 2019

For example, XA transactions block execution if the application process fails during the prepare phase; moreover, XA provides no deadlock detection and no support for optimistic concurrency-control schemes. Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3].

Transportation 192

Transportation Architecture Processing Storage 192

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

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. Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Processed 4.15

Database 40

Database Analytics Blockchain Healthcare 40

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

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. Document databases advance the BigTable model offering two significant improvements.

Database 279

Database Ecommerce Efficiency Engineering 279

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL. Late transformation.

Big Data 40

Big Data Retail Storage Google 40

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 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. Syndication. or rss feed.

Servers 126

Servers Social Media AWS Website 126

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

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.) Who knew! ;). SELECT in SQL!),

Cache 79

Cache Latency Google Lambda 79

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

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. Syndication.

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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

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. Syndication. Subscribe to this weblogs.

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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 60

AWS Cloud Latency Storage 60

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. Syndication.

AWS 61

AWS Cloud Latency Storage 61

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. Syndication.

Cloud 117

Cloud Internet Internet AWS 117

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

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

Highly Scalable

MAY 1, 2012

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

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. The processed data is typically stored as data warehouse tables in AWS S3.

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. Syndication.

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.

Cloud 137

Cloud Big Data AWS Analytics 137

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

All Things Distributed

APRIL 27, 2011

For example, to construct a product detail page for a customer visiting Amazon.com, our software calls on between 200 and 300 services to present a highly personalized experience for that customer. To do so, weve leaned heavily on the core principles from the distributed systems and database research communities and invented from there.

Technology 151

Technology Technology AWS Storage 151

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. ETL is a product of the relational database era and it has not evolved much in last decade. There are several emerging data trends that will define the future of ETL in 2018. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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. Syndication. Subscribe to this weblogs.

AWS 138

AWS Cloud Storage Internet 138

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

FEBRUARY 25, 2011

When a new customer is onboarded, the ISV has to spin up a collection of AWS resources to run their web-servers, app-servers and databases in a multi-AZ (availability zone) setting to achieve high-availability. A simple scenario is for example the ability to clearly identify production from staging and development environments.

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. Syndication. Subscribe to this weblogs.

AWS 80

AWS Big Data Scalability Storage 80

All Things Distributed

FEBRUARY 24, 2010

Amazon SimpleDB has launched today with a new set of features giving the customer more control over which consistency and concurrency models to use in their database operations. These new features will make it easier to transition those applications to SimpleDB that are designed with traditional database tools in mind. Consistent Read.

AWS 69

AWS Latency Database Scalability 69