Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 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

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.

Azure 147

Azure Cloud Big Data Virtualization 147

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 253

Big Data Government Analytics Processing 253

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. 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

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. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea. Spot Instances - Increased Control.

AWS 112

AWS Cloud Games Latency 112

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. 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.

Latency 243

Latency Storage Big Data Tuning 243

All Things Distributed

DECEMBER 14, 2011

This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. The new Sao Paulo Region provides better latency to South America, which enables AWS customers to deliver higher performance services to their South American end-users.

AWS 114

AWS Latency Storage Big Data 114

Testsigma

FEBRUARY 12, 2021

When more companies transition into digital-first projects, there must be an expanded number of processes and IT data departments to keep IT teams on track. of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7% Automation to Enhance AI Security Defence.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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 down the cost of Big-Data analytics. We have expanded the AWS footprint in the US and starting today a new AWS Region is available for use: US-West (Northern California).

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

JULY 11, 2011

Spot Instances are ideal for use cases like web and data crawling, financial analysis, grid computing, media transcoding, scientific research, and batch processing. Driving down the cost of Big-Data analytics. However, customers with these use cases need a way to more easily and reliably target Availability Zones.

AWS 85

AWS Storage Cloud Big Data 85

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 down the cost of Big-Data analytics.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

APRIL 28, 2010

Customers can now store their data and run their applications from our Singapore location in the same way they do from our other U.S. There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. Driving down the cost of Big-Data analytics.

AWS 61

AWS Cloud Latency Storage 61

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

All Things Distributed

DECEMBER 5, 2010

Low-latency query resolution The query resolution functionality of Route 53 is based on anycast, which will route the request automatically to the DNS server that is the closest. This achieves very low-latency for queries which is crucial for the overall performance of internet applications. Driving down the cost of Big-Data analytics.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

NOVEMBER 19, 2010

Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. Driving down the cost of Big-Data analytics. Congrats to the Heroku team for officially serving 100,000 apps. Introducing the AWS South America (Sao Paulo) Region.

AWS 67

AWS Cloud Benchmarking Storage 67

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose software architectures that can exploit these low latencies very well. General Purpose GPU programming.

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? Data Consistency Models in the Amazon Services.

AWS 69

AWS Latency Database Scalability 69