DZone

DECEMBER 28, 2020

The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. Digital transformation is yet another significant focus point for the sectors and the enterprises that are ranking top on cloud and business analytics. Besides, AI and ML seem to reach a new level.

Software 193

Software Software Testing Big Data 193

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. We are heavy users of Jupyter Notebooks and nteract to analyze operational data and prototype visualization tools that help us detect capacity regressions.

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

OCTOBER 25, 2022

NoOps is an advanced transformation of DevOps where many of the functions needed to manage, optimize and secure IT services and applications are automated within the design. This risk leads many to question the practicality of DevOps, which makes the idea of NoOps more attractive. Thus, the concept of NoOps takes DevOps a step further.

DevOps 246

DevOps Big Data Cloud Innovation 246

All Things Distributed

NOVEMBER 15, 2016

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain performance. Enter Amazon QuickSight. While QuickSight supports multiple graph types (e.g.,

Analytics 126

Analytics Availability Media Social Media 126

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Like the development and design phases, these applications generate massive data volumes that offer relevant and actionable insights.

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

Dynatrace

JUNE 1, 2020

Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams. User Experience and Business Analytics ery user journey and maximize business KPIs.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

The Netflix TechBlog

JUNE 20, 2024

In this talk, Jason Reid discusses the pros and cons of both data warehouse bundling and unbundling in terms of performance, governance, and flexibility, and he examines how the trend of data warehouse unbundling will impact the data engineering landscape in the next 5 years.

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 216

Analytics C++ Innovation Engineering 216

DZone

JULY 17, 2023

Apache Spark is a leading platform in the field of big data processing, known for its speed, versatility, and ease of use. Understanding Apache Spark Apache Spark is a unified computing engine designed for large-scale data processing. However, getting the most out of Spark often involves fine-tuning and optimization.

Big Data 130

Big Data Performance Open Source Tuning 130

Dynatrace

AUGUST 10, 2021

BPAY is in the midst of its digital transformation journey in which it is discovering the critical importance of developing “contemporary ways of designing, operating, and using” its software. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. No matter how much you collect.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. Collect raw data in virtual and nonvirtual environments from multiple feeds, normalize and structure the data, and aggregate it for alerts.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

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 data warehouse is not designed to serve point requests from microservices with low latency.

Latency 252

Latency Storage Big Data Tuning 252

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

MAY 26, 2020

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. As with any sustainable engineering design, focusing on simplicity is very important. And excellent logging is needed for debugging purposes and supportability.

Network 154

Network Tuning AWS Big Data 154

Dynatrace

JUNE 1, 2020

Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams. User Experience and Business Analytics ery user journey and maximize business KPIs.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

The Netflix TechBlog

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing. ETL pipelines keep all the benefits of batch workflows.

Processing 219

Processing Big Data Efficiency Engineering 219

Scalegrid

FEBRUARY 11, 2025

Key Takeaways MySQL is a relational database management system ideal for structured data and complex relationships, ensuring data integrity and reliability. This structured approach makes relational databases ideal for applications requiring precise data management and complex transactions.

Scalability 147

Scalability Database Storage IoT 147

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 246

Artificial Intelligence DevOps Innovation Metrics 246

All Things Distributed

AUGUST 16, 2011

The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Driving down the cost of Big-Data analytics. Cloud Readyâ??;

AWS 90

AWS Government Big Data Cloud 90

All Things Distributed

MARCH 28, 2011

Amazon S3 is used by enterprises of all sizes and is designed to handle scaling extremely well; it stores hundreds of billions of objects and easily performs several hundreds of thousands of storage transaction a second. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Expanding the Cloud â??

AWS 123

AWS Cloud Storage Internet 123

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. Driving down the cost of Big-Data analytics.

Technology 129

Technology Technology AWS Storage 129

All Things Distributed

DECEMBER 14, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region. Expanding the Cloud - Introducing Amazon ElastiCache.

AWS 105

AWS Latency Storage Cloud 105

All Things Distributed

AUGUST 17, 2011

It is simple and elegant, as you would expect from someone who has won several design awards. I am still using the same layout and css I used with MT, as I prefer to make one change at the time: design comes next. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Expanding the Cloud â??

Servers 111

Servers Social Media AWS Website 111

All Things Distributed

AUGUST 22, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region. Expanding the Cloud - Introducing Amazon ElastiCache.

Cloud 106

Cloud Cache AWS Storage 106

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. Propensity to churn.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

MARCH 2, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region. Expanding the Cloud - Introducing Amazon ElastiCache.

AWS 92

AWS Cloud Games Latency 92

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

DECEMBER 5, 2010

We have designed Route 53 to propagate updates very quickly and give the customer the tools to find out when all changes have been propagated. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS.

Cloud 113

Cloud Internet Internet AWS 113

Scalegrid

MARCH 28, 2024

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. It is designed to cache plain text values, offering fast read and write access to frequently accessed data. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

JULY 7, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region. Expanding the Cloud - Introducing Amazon ElastiCache.

AWS 77

AWS Cloud Storage Internet 77

All Things Distributed

FEBRUARY 25, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region. Expanding the Cloud - Introducing Amazon ElastiCache.

AWS 98

AWS Cloud Scalability Storage 98

All Things Distributed

MARCH 24, 2011

Up to 200 developers and designers will get together to hack up interesting applications using the Internets APIs and SDKs. If you want to be that team of 5-7 developer/designers you can sign up using this form. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Countdown to What is Next in AWS.

AWS 75

AWS Internet Internet Storage 75

All Things Distributed

JUNE 29, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region. Expanding the Cloud - Introducing Amazon ElastiCache.

AWS 84

AWS Retail Innovation Strategy 84

All Things Distributed

JANUARY 11, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region. Expanding the Cloud - Introducing Amazon ElastiCache.

Wireless 87

Wireless AWS Internet Internet 87

All Things Distributed

JULY 13, 2010

Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Other industries using Amazon EC2 for HPC-style workloads include pharmaceuticals, oil exploration, industrial and automotive design, media and entertainment, and more. Countdown to What is Next in AWS.

Cloud 98

Cloud AWS Automotive Latency 98

All Things Distributed

NOVEMBER 15, 2010

These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. Some good insight into the work that is needed to convert certain algorithms to run efficiently on GPUs is the UCB/NVIDIA " Designing Efficient Sorting Algorithms for Manycore GPUs " paper.

AWS 125

AWS Programming Latency Architecture 125