Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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 181

Data Engineering Engineering Big Data Software Engineering 181

The Netflix TechBlog

APRIL 29, 2019

Subsequently, many useful libraries get developed, making the language even more desirable to learn and use. CORE The CORE team uses Python in our alerting and statistical analytical work. Python is also a tool we typically use for automation tasks, data exploration and cleaning, and as a convenient source for visualization work.

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

APRIL 19, 2023

Business Insights is a managed offering built on top of Dynatrace’s digital experience and business analytics tools. The Business Insights team helps customers manage or configure their digital experience environment, extend the Dynatrace platform through data analytics, and bring human expertise into optimization.

Entertainment 237

Entertainment Analytics Healthcare Games 237

Dynatrace

APRIL 21, 2021

On the Dynatrace Business Insights team, we have developed analytical views and an approach to help you get started. To do this effectively, you need a big data processing approach. Not all pages are equally important, and development resources are top priority. How Dynatrace Business Insights can help.

Traffic 264

Traffic Mobile Metrics Analytics 264

Dynatrace

OCTOBER 25, 2022

The need for developers and innovation is now even greater. NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team. But it might also result in the entire software development process falling apart. Evolution of modern AIOps.

DevOps 246

DevOps Big Data Cloud Innovation 246

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

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. A truly modern AIOps solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multicloud environments.

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Analytics 230

Analytics Education Innovation Engineering 230

The Netflix TechBlog

JUNE 20, 2024

On April 18th, 2024, we hosted the inaugural Data Engineering Open Forum at our Los Gatos office, bringing together data engineers from various industries to share, learn, and connect. At the conference, our speakers share their unique perspectives on modern developments, immediate challenges, and future prospects of data engineering.

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

Dynatrace

JULY 6, 2022

Developing automation takes time. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools. Automating routine IT tasks eliminates the human element—and the potential mistakes that come with it.

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

The Netflix TechBlog

JUNE 7, 2021

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time.

Network 327

Network Transportation AWS Cloud 327

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. See the health of your big data resources at a glance. Azure Front Door.

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 246

Cloud DevOps Open Source Retail 246

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. A variety of supervised, semi-supervised, and unsupervised matching techniques have also been developed. 2020, Article No.

Big Data 83

Big Data Open Source Processing Analytics 83

The Netflix TechBlog

JULY 26, 2021

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. At Netflix Studio, teams build various views of business data to provide visibility for day-to-day decision making. tactical) in nature.

Big Data 257

Big Data Government Processing Analytics 257

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. Adding application security to development and operations workflows increases efficiency. So, what is ITOps? What is ITOps? CloudOps teams are one step further in the digital supply chain.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

AUGUST 10, 2021

I had the privilege of setting everyone up for the day alongside my co-host Carrie Mott , Head of Marketing and Business Development for APAC. 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.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 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. We provide the job template MoveDataToKvDal for moving the data from the warehouse to one Key-Value DAL.

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 154

AWS Cloud Artificial Intelligence IoT 154

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. & Wenjing Z.]

Analytics 216

Analytics C++ Innovation Engineering 216

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. This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI.

DevOps 246

DevOps Artificial Intelligence Healthcare Innovation 246

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. The accuracy was considered adequate by the developer.

Big Data 57

Big Data Analytics Latency Azure 57

All Things Distributed

OCTOBER 7, 2015

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

Cloud 112

Cloud Big Data AWS Analytics 112

Scalegrid

FEBRUARY 8, 2024

Within Amazon S3’s offerings are features like metadata tagging, different classes of data movement and storage options, configuring control over access permissions, and ensuring safety against disasters through data replication mechanisms. These systems excel in managing vast quantities of data while maintaining redundancy.

Storage 130

Storage Systems Big Data Azure 130

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.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 246

Artificial Intelligence DevOps Innovation Metrics 246

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. append, overwrite, etc.).

Processing 219

Processing Big Data Efficiency Engineering 219

All Things Distributed

APRIL 27, 2011

In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. To meet these demanding and unusual requirements, weve developed several alternative, purpose-built persistence solutions, including our own key-value store and single table store. Comments ().

Technology 127

Technology Technology AWS Storage 127

Scalegrid

FEBRUARY 11, 2025

Combining MySQL and MongoDB allows organizations to optimize their data management capabilities by utilizing the strengths of both databases for structured and unstructured data needs. Data modeling is a critical skill for developers to manage and analyze data within these database systems effectively.

Scalability 147

Scalability Database Storage IoT 147

All Things Distributed

AUGUST 16, 2011

Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. The scalability, flexibility and the elasticity of AWS makes it an ideal environment for the agencies to run their analytics. Driving down the cost of Big-Data analytics.

AWS 88

AWS Government Big Data Cloud 88

All Things Distributed

FEBRUARY 17, 2011

More details about the website feature of Amazon S3 can be found here and in Jeff Barrs blog post on the AWS developer blog. Driving down the cost of Big-Data analytics. update: I have since removed these last two dependencies as well, see the next blog post ]. Amazon S3 FTW! blog comments powered by Disqus. Contact Info.

AWS 120

AWS Website Storage Servers 120

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. In 2012 Tom Tom launched a new Location Based Services (LBS) platform to give app developers easy access to its mapping content to be able to incorporate rich location based data into their applications.

Cloud 100

Cloud Energy AWS Healthcare 100

KeyCDN

OCTOBER 2, 2018

In the world of web development, those who become experts usually do so by learning from their predecessors. Reading and following the right web development blogs makes it much easier to get a solid education. That’s why we’ve compiled an exhaustive list of web development blogs and newsletters to make this process easier.

Development 75

Development Website Design Code 75

All Things Distributed

DECEMBER 14, 2011

These companies can now benefit from the fact that the new Sao Paulo Region is similar to all other AWS Regions, which enables software developed for other Regions to be quickly deployed in South America as well. Please also visit the AWS developer blog for more great stories from our South American customers.

AWS 103

AWS Latency Storage Cloud 103

All Things Distributed

AUGUST 22, 2011

Amazon ElastiCache is compliant with Memcached , which makes it easy for developers who are already familiar with that system to start using the service immediately. For more hands-on information and to get started right away, see Jeff Barrs posting on the AWS Developer Blog. Driving down the cost of Big-Data analytics.

Cloud 103

Cloud Cache AWS Storage 103

Scalegrid

MARCH 14, 2024

Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. Tools for optimizing cloud costs offer comprehensive analytics and metrics, plus automation capabilities that assist enterprises in tracking, evaluating, and refining their spending on their hybrid cloud setup.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130