All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Big Data 111

Big Data Analytics AWS Cloud 111

The Netflix TechBlog

MARCH 25, 2019

Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Design a flexible data model ? —?Represent Enable seamless integration?—? push or pull.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

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. An Example of Schema Mapping.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202

The Netflix TechBlog

JUNE 1, 2021

For example?—?clinical 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. However, most challenges that came with my role were domain-related but not as technically demanding.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

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. For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks.

Artificial Intelligence 284

Artificial Intelligence Cloud Innovation Strategy 284

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

The Netflix TechBlog

NOVEMBER 3, 2023

An example of a Data Mesh pipeline which moves and transforms data using Union, GraphQL Enrichment, and Column Rename Processor before writing to an Iceberg table. However, this design decision led to a different set of challenges. The existing Data Mesh Processors have a lot of overlap with SQL.

Processing 265

Processing Engineering Infrastructure Latency 265

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. One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

FEBRUARY 16, 2021

For example, the mobile plan launch in India and Southeast Asia was a huge success. However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple?—?three Business Rules?—?SKURules:

Mobile 209

Mobile Engineering Infrastructure Scalability 209

Percona

JANUARY 19, 2023

However, there are cases where the same column is defined on multiple indexes in order to serve different query patterns, and sometimes some of the indexes created for the same column are redundant, leading to more overhead when inserting or deleting data (as indexes are updated) and increased disk space for storing the indexes for the table.

Open Source 87

Open Source Storage Database Big Data 87

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

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.” Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. What is AIOps?

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

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. Designing for Performance. High Performance Responsive Design. Responsive Web Design. Mobile First.

Performance 75

Performance Social Media Website Website Performance 75

Abhishek Tiwari

JULY 7, 2023

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

Testsigma

MAY 26, 2021

The test results are a huge set of data and they need to be matched against the expected results, which are again stored in files. . Let us see a few scenarios where data-driven testing is useful in providing a quality product. Scenario 1: Tabular data . Scenario 2: Data Arrays. Example: E-commerce applications.

Testing 70

Testing Healthcare Performance Testing Website 70

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Databricks Delta is a perfect example of this class. A solution like Delta makes ETL unnecessary for the data warehousing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

DECEMBER 20, 2017

In today's era of global digitalization there are many examples that show that IT does matter. The founders had noticed that in many companies, product designers worked in a very detached manner from the rest of production. Value creation through data. The German startup SimScale makes use of this trend.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

CSS - Tricks

OCTOBER 7, 2021

With the KendoReact Data Grid component, you can pass in a detail prop with an arbitrary React component to show when a row is expanded. Responsive Design. Perhaps the most notoriously difficult thing to pull off with <table> designs is how to display them on small screens. Filtering Data. Grouping Data.

Big Data 59

Big Data C++ Virtualization Design 59

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud Government and Big Data.

AWS 111

AWS Government Big Data Cloud 111

Highly Scalable

MAY 1, 2012

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Morning Paper

JUNE 23, 2019

Why are developers using RInK systems as part of their design? Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. A high CPU cost due to marshalling data to/from the RInK store formats to the application data format.

Cache 79

Cache Latency Google Lambda 79

Highly Scalable

MARCH 1, 2012

The following figure depicts imaginary “evolution” of the major NoSQL system families, namely, Key-Value stores, BigTable-style databases, Document databases, Full Text Search Engines, and Graph databases: NoSQL Data Models. The main design theme is “ What answers do I have?” ” .

Database 279

Database Ecommerce Efficiency Engineering 279

O'Reilly

JANUARY 13, 2020

The biggest stories in Swift last year were the releases of SwiftUI , Apple’s newest framework for designing user interfaces across all Apple devices, and Swift for TensorFlow , a platform for deep learning and differentiable programming integrating Google’s TensorFlow framework with Swift. ” What lies ahead?

Programming 130

Programming Java Google C++ 130

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). For example, the existence and support of open-source frameworks such as LLVM or Tensorflow/Pytorch are an attractive element to many newcomers. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

KeyCDN

OCTOBER 2, 2018

Codrops Codrops features blogs with topics ranging from UI design and page animations to image formatting and general JavaScript practices. A List Apart A List Apart focuses on UX and branding from business and design-oriented perspectives. Topics include web design, security, web-based tools and workflows and more.

Development 75

Development Website Design Code 75

All Things Distributed

AUGUST 17, 2011

A good example is the comments section on this blog; a few lines of JavaScript and these pages have a dynamic nature with comments, trackbacks and social media discussion showing up as they happen. It is simple and elegant, as you would expect from someone who has won several design awards. Driving down the cost of Big-Data analytics.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

AUGUST 20, 2012

This is apparent in the Media industry where film re-edits, for example, are no longer just about revisiting the original 35mm or 65 mm film but rather all the digital content captured by the 2K or 4K cameras that were used during filming. designed for 11 ninesâ??) s largest organizations. A Complete Storage Solution.

Storage 122

Storage Cloud AWS Media 122

Highly Scalable

MARCH 10, 2015

This article describes six major optimization problems related to marketing and pricing that can be solved leveraging data mining techniques. Although these problems are very different, we are trying to establish a common framework that helps to design optimization and data mining tasks required for solutions.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

JUNE 29, 2011

For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics.

AWS 104

AWS Retail Innovation Strategy 104

O'Reilly

OCTOBER 21, 2019

He designed this new platform to be permission-less and free, an open space for creativity, innovation, and free expression that transcended geographic and cultural boundaries. In the 1980s, scientists at European physics lab CERN were struggling to share and collaborate on their research.

Blockchain 52

Blockchain Social Media Innovation Internet 52

Smashing Magazine

AUGUST 9, 2021

Smashing Podcast Episode 41 With Eva PenzeyMoog: Designing For Safety. Smashing Podcast Episode 41 With Eva PenzeyMoog: Designing For Safety. In this episode, we’re talking about designing for safety. What does it mean to consider vulnerable users in our designs? Design for Safety from A Book Apart. Drew McLellan.

Design 99

Design Education Network Google 99

All Things Distributed

JANUARY 11, 2011

The one thing that I have always struggled with during my travels are the data plans of the cell phone companies. One wireless company for example has an international plan that will charge you $25 per month for 50MB after which they will charge you $20 per MB. Driving down the cost of Big-Data analytics.

Wireless 107

Wireless AWS Internet Internet 107

All Things Distributed

MAY 24, 2011

allthingsdistributed.com) point to same location where for example www.allthingsdistributed.com is pointing to jump through complex redirect hoops. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Elastic Load Balancing support for IPV6.

Internet 114

Internet Internet AWS Scalability 114

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. Finally, a process for test data management was implemented. What is test data?

Testing 60

Testing Storage Database Processing 60

All Things Distributed

APRIL 23, 2010

As examples of such services I always use Twillio (voice &sms) and Simplegeo (location), but it is time to start building out my knowledge of all the different services that are in the ecosystem. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics.

AWS 60

AWS Storage Cloud Big Data 60