Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. The engine should be able to ingest both streaming data and data from Hadoop i.e. serve as a custom query engine atop of HDFS. High performance and mobility.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

NOVEMBER 15, 2016

Today, I am very happy to announce that QuickSight is now generally available in the N. When we announced QuickSight last year, we set out to help all customers—regardless of their technical skills—make sense out of their ever-growing data. Put simply, data is not always readily available and accessible to organizational end users.

Analytics 152

Analytics Availability Media Social Media 152

The Netflix TechBlog

OCTOBER 28, 2021

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

The Morning Paper

DECEMBER 13, 2020

An overview of end-to-end entity resolution for big data , Christophides et al., It’s an important part of many modern data workflows, and an area I’ve been wrestling with in one of my own projects. ACM Computing Surveys, Dec. 2020, Article No.

Big Data 83

Big Data Open Source Processing Analytics 83

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. APM can also be referred to as: Application performance management. Performance monitoring. Dynatrace news. Application monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. VLDB’19. Approximate query support. in the paper).

Big Data 57

Big Data Analytics Latency Azure 57

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching.

Network 325

Network Transportation AWS Cloud 325

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Managed DBaaS solutions like ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

MARCH 24, 2023

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

DECEMBER 15, 2022

The primary goal of ITOps is to provide a high-performing, consistent IT environment. Organizations measure these factors in general terms by assessing the usability, functionality, reliability, and performance of products and services. Performance. What does IT operations do? ITOps vs. AIOps.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

The Netflix TechBlog

JULY 26, 2021

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. APM can be referred to as: Application performance monitoring. Application performance management. Performance monitoring.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

DZone

JUNE 4, 2019

NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. NVMe Storage Use Cases. There are several AI/ML focused use cases to highlight.

Storage 100

Storage FinTech Artificial Intelligence Performance 100

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. Effortlessly optimize Azure database performance. Database-service views provide all the metrics you need to set up high-performance database services. Azure Front Door.

Azure 150

Azure Cloud Big Data Virtualization 150

Scalegrid

MARCH 14, 2024

Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands. On-Premises Data Center A hybrid cloud architecture necessitates that an organization retains full authority over its physical or virtual infrastructure within the private cloud segment.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

MAY 26, 2020

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems.

Network 150

Network Tuning AWS Big Data 150

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

OCTOBER 7, 2015

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. Big data challenges. Put simply, data is not always readily available and accessible to organizational end users.

Cloud 137

Cloud Big Data AWS Analytics 137

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Analyze the data. Of course, this information must be available to the AI and, therefore, part of the entity. Execute an action plan.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. GoSquared provides various analytics services that web and mobile companies can use to understand their customers' behaviors.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

ScaleOut Software

NOVEMBER 24, 2020

At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark. Since this analysis must be performed offline in batch jobs, it cannot respond to immediate issues and is restricted to assessing overall fleet performance.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

ScaleOut Software

APRIL 3, 2020

The real-time digital twin software tracks and updates this information using incoming messages whenever significant events affecting the ventilator occur, such as when it moves from place to place, is put in use, becomes available, encounters a mechanical issue, has an expected repair time, etc.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

The real-time digital twin software tracks and updates this information using incoming messages whenever significant events affecting the ventilator occur, such as when it moves from place to place, is put in use, becomes available, encounters a mechanical issue, has an expected repair time, etc.

Logistics 52

Logistics Analytics Scalability Cloud 52

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics.

Artificial Intelligence 218

Artificial Intelligence DevOps Innovation Metrics 218

The Morning Paper

SEPTEMBER 19, 2019

Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. The authors claim a two orders-of-magnitude performance improvement. speedup over the best performing existing method.

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

AUGUST 22, 2011

There are many success stories about the effectiveness of caching in many different scenarios; next to helping applications achieving fast and predictable performance, it often protects databases from requests bursts and brownouts under overload conditions. It will be available in other AWS Regions in the coming months. Contact Info.

Cloud 117

Cloud Cache AWS Storage 117

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. No Server Required - Jekyll & Amazon S3.

Technology 151

Technology Technology AWS Storage 151

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

Testsigma

FEBRUARY 12, 2021

The latest trend in hyperautomation – Gartner projects that by the year 2023, 25% of tasks by the organisations will be able to perform autonomously and hence reducing the cost. million Apple App Store applications in the 3rd quarter of 2020, are available. This will rise in the coming year, according to industry analysts.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

NOVEMBER 30, 2016

Amazon AI services make the full power of Amazon's natural language understanding, speech recognition, text-to-speech, and image analysis technologies available at any scale, for any app, on any device, anywhere. It is now available to any developer aiming to power their apps with high-quality spoken output. Amazon Lex.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Highly Scalable

MARCH 10, 2015

Although there are many books on data mining in general and its applications to marketing and customer relationship management in particular [BE11, AS14, PR13 etc.], The rest of the article is organized as follows: We first introduce a simple framework that ties together a retailer’s actions, profits and data. Applications.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

DECEMBER 3, 2009

We have expanded the AWS footprint in the US and starting today a new AWS Region is available for use: US-West (Northern California). This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. AWS is committed to making its services available at low cost.

AWS 60

AWS Cloud Latency Storage 60

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. Any failure to protect sensitive data may lead to compliance and regulatory issues. Conclusion.

Testing 60

Testing Storage Database Processing 60

All Things Distributed

NOVEMBER 15, 2010

This incredible power is available for anyone to use in the usual pay-as-you-go model, removing the investment barrier that has kept many organizations from adopting GPUs for their workloads even though they knew there would be significant performance benefit. The different stages were then load balanced across the available units.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

DECEMBER 5, 2010

I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Route 53 provides Authoritative DNS functionality implemented using a world-wide network of highly-available DNS servers. Driving down the cost of Big-Data analytics.

Cloud 117

Cloud Internet Internet AWS 117