ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. Many hospitals adopted telehealth and other virtual technology to deliver care and reduce the spread of disease. During the early months of the COVID-19 pandemic, this trend was undeniably apparent.

Healthcare 226

Healthcare Artificial Intelligence Innovation Strategy 226

The Netflix TechBlog

JUNE 7, 2021

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc. What is BPF?

Network 325

Network Transportation AWS Cloud 325

The Netflix TechBlog

JUNE 1, 2021

I personally loved looking at raw data and using it to understand patterns in the world through technology. clinical data was often small enough to fit into memory on an average computer and only in rare cases would its computation require any technical ingenuity or massive computing power. For example?—?clinical

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

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. Use the technology overview and filter for Azure to access all newly added databases across all subscriptions. See the health of your big data resources at a glance.

Azure 147

Azure Cloud Big Data Virtualization 147

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

All Things Distributed

JUNE 26, 2016

A region in India has been highly sought after by companies around the world who want to participate in one of the most significant economic opportunities in the world – India, a rising economy that holds tremendous promise for growth, a thriving technology hub with a rich eco-system of technology talent, and more.

AWS 90

AWS Cloud Healthcare Blockchain 90

The Netflix TechBlog

OCTOBER 15, 2019

Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3]. Delta Delta has been developed to address the limitations of existing solutions for data synchronization, and also allows to enrich data on the fly. Deal Service, Talent Service and Vendor Service).

Transportation 192

Transportation Architecture Processing Storage 192

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

DECEMBER 8, 2016

Canada has set forth a bold innovation agenda grounded in entrepreneurship, scientific research, growing small and medium-sized businesses with a focus on environmentally friendly technologies, and the transition to a digital economy. For more information about AWS efforts, see AWS & Sustainability. Rapid time to market.

AWS 155

AWS Cloud Lambda Innovation 155

Percona

JANUARY 19, 2023

While the technologies have evolved and matured enough, there are still some people thinking that MySQL is only for small projects or that it can’t perform well with large tables. It was developed for optimizing data storage and access for big data sets. It supports native sharding being transparent for the application.

Open Source 91

Open Source Storage Database Big Data 91

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. Challenges for Current Architectures. Solution: Real-Time Digital Twins.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

All Things Distributed

MAY 27, 2015

Bring your questions about AWS architecture, cost optimization, services and features, and anything else AWS related. Bootcamps you can register for include “Getting Started with AWS — Technical,” “Store and Manage Big Data in the Cloud,” “Architecting Highly Available Apps,” and “Taking AWS Operations to the Next Level.”.

AWS 95

AWS Education Big Data Games 95

Dynatrace

MAY 1, 2023

Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Why use a data lakehouse for causal AI? Why is ITOA important?

Analytics 186

Analytics Artificial Intelligence Big Data Open Source 186

O'Reilly

OCTOBER 21, 2019

Technology does not make a market. It’s only when millions of people make individual decisions to use a new product or service that a technology takes hold. It’s changed the architecture of our expectations—of what we expect a friend, colleague, or a business to be able to do. People make a market.

Blockchain 52

Blockchain Social Media Innovation Internet 52

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. This book is about performance problems and the various technologies created to fight them. Information Architecture.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

DECEMBER 20, 2017

Take the example of industrial manufacturing: in prototyping, drafts for technologically complex products are no longer physically produced; rather, their characteristics can be tested in a purely virtual fashion at every location across the globe by using simulations. Customers provide feedback online immediately after their purchase.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

AUGUST 19, 2011

This team is constantly rethinking the assumptions behind how traditional databases were built and constantly working on building the right database architectures suited for the Cloud environment. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology. APAC Summer Tour.

AWS 75

AWS Database Storage Scalability 75

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Memcached shines in scenarios where a simple, fast, and efficient caching solution is required without data persistence.

Cache 130

Cache Storage Scalability Architecture 130

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

APRIL 3, 2020

Unlike powerful big data platforms which focus on deep and often lengthy analysis to make future projections, what real-time digital twins offer is timeliness in obtaining quick answers to pressing questions using the most current data.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

Unlike powerful big data platforms which focus on deep and often lengthy analysis to make future projections, what real-time digital twins offer is timeliness in obtaining quick answers to pressing questions using the most current data.

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology. until today. APAC Summer Tour.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

SEPTEMBER 30, 2010

Visiting future customers is equally exiting as you get a change to understand their current architecture, if it is a migration, and how they plan to exploit cloud services in their new setup. Mumbai on October 20 with Patni , Inxs Technologies and India Games. Driving down the cost of Big-Data analytics.

AWS 75

AWS Storage Cloud Best Practices 75

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? Data management.

Artificial Intelligence 207

Artificial Intelligence Analytics Storage Government 207

All Things Distributed

NOVEMBER 19, 2010

Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. The Big Idea: Biomimetic Architecture - The National Geographic came in the mail this week with a beautiful pull-out of Gaudís Sagrada Família, the online version is only a summary.

AWS 67

AWS Cloud Benchmarking Storage 67

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 184

Analytics Innovation Metrics Database 184

Uber Engineering

OCTOBER 30, 2018

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware.

Hardware 103

Hardware Infrastructure Engineering Technology 103

All Things Distributed

APRIL 27, 2011

The Amazon.com 2010 Shareholder Letter Focusses on Technology. In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. Given that I have frequently written about many of these technologies on this blog I asked investor relations to be allowed to reprint it here.

Technology 151

Technology Technology AWS Storage 151

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Stop worrying about log data ingest and storage — start creating value instead. What’s next for Grail?

Analytics 233

Analytics Artificial Intelligence Storage Serverless 233

SQL Server According to Bob

FEBRUARY 15, 2018

If you want to know anything about Azure SQL Data Warehouse, you have to come listen to JRJ! Spend a day getting immersed in technology with Andrew. Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better.

Engineering 40

Engineering Azure Best Practices Servers 40

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

DECEMBER 5, 2010

While registrars manage the namespace in the DNS naming architecture, DNS servers are used to provide the mapping between names and the addresses used to identify an access point. The Domain Name System is a wonderful practical piece of technology; it is a fundamental building block of our modern internet. APAC Summer Tour.

Cloud 117

Cloud Internet Internet AWS 117

The Netflix TechBlog

MAY 26, 2020

Requirements There are multiple ways you can solve this problem and many technologies to choose from. This means using existing infrastructure and established patterns within the Netflix ecosystem as much as possible and minimizing the introduction of new technologies.

Network 150

Network Tuning AWS Big Data 150