Tagged | analytics
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Capacity Recommendation Engine: Throughput and Utilization Based Predictive Scaling
(eng.uber.com) -
Experiment without the wait: Speeding up the iteration cycle with Offline Replay Experimentation
(medium.com) -
Evolving LinkedIn’s analytics tech stack
(engineering.linkedin.com) -
Building confidence in a decision
(netflixtechblog.com) -
Interpreting A/B test results: false positives and statistical significance
(netflixtechblog.com) -
An ML approach to Calculating Expected Value
(engineering.udacity.com) -
Pinterest Home Feed Unified Lightweight Scoring: A Two-tower Approach
(medium.com) -
Pinterest’s Analytics as a Platform on Druid (Part 3 of 3)
(medium.com) -
Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework
(eng.uber.com) -
Pinterest’s Analytics as a Platform on Druid (Part 3 of 3)
(medium.com) -
Pinterest’s Analytics as a Platform on Druid (Part 2 of 3)
(medium.com) -
Pinterest’s Analytics as a Platform on Druid (Part 1 of 3)
(medium.com) -
Applying flame graphs outside of performance analysis
(blog.twitter.com) -
Fighting Spam using Clustering and Automated Rule Creation
(medium.com) -
Gimme a robust estimator - and make it a double!
(multithreaded.stitchfix.com) -
Hacking NFL data with PostgreSQL, TimescaleDB, and SQL
(blog.timescale.com) -
What time-weighted averages are and why you should care
(blog.timescale.com) -
The machine learning behind delivering relevant ads
(medium.com) -
Introducing hyperfunctions: new SQL functions to simplify working with time-series data in PostgreSQL
(blog.timescale.com) -
How Airbnb Measures Future Value to Standardize Tradeoffs
(medium.com) -
Analyzing Experiments with Changing Cohort Allocations
(engineeringblog.yelp.com) -
Article: Building Latency Sensitive User Facing Analytics via Apache Pinot
(www.infoq.com)#distributed-systems #analytics #real-time #data-engineering
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Exploring Data @ Netflix
(netflixtechblog.com)#dev-tools #software-engineering #data-visualisation #analytics
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Open Sourcing Querybook, Pinterest’s Collaborative Big Data Hub
(stackshare.io) -
Presentation: Evolving Analytics in the Data Platform
(www.infoq.com) -
Giving the power of data in hands of your data analyst
(lambda.grofers.com) -
Building a data stream to assist with COVID-19 research
(blog.twitter.com) -
Increasing experimentation accuracy and speed by using control variates
(codeascraft.com) -
Optimizing Analytics Data Processing on eBay’s New Open-Source-Based Platform
(tech.ebayinc.com) -
The exabyte club: LinkedIn’s journey of scaling the Hadoop Distributed File System
(engineering.linkedin.com)#scaling #distributed-systems #analytics #big-data #data-engineering
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The Art and Science Behind Effective Product Goal Setting
(medium.com) -
Introducing Orbit, An Open Source Package for Time Series Inference and Forecasting
(eng.uber.com) -
Greykite: A flexible, intuitive, and fast forecasting library
(engineering.linkedin.com) -
From Vendor to In-house: How eBay Reimagined Its Analytics Landscape
(tech.ebayinc.com) -
How does Airbnb track and measure growth marketing?
(medium.com)#data-science #software-engineering #software-design #analytics
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How Airbnb Achieved Metric Consistency at Scale
(medium.com)#software-architecture #distributed-systems #analytics #data-engineering
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The Journey of Corpus
(developers.soundcloud.com) -
Automating Merchant Live Monitoring with Real-Time Analytics: Charon
(eng.uber.com) -
Identifying Financial Fraud With Geospatial Clustering
(databricks.com) -
How We Built A Context-Specific Bidding System for Etsy Ads
(codeascraft.com) -
User state-based notification volume optimization
(medium.com) -
Real-Time Small Business Intelligence with ksqlDB
(www.confluent.io) -
Contextual relevance in ads ranking
(medium.com) -
Powering Pinterest Ads Analytics with Apache Druid
(stackshare.io) -
Riding the Synthesis Wave: How to Avoid Drowning in Your Qualitative Data
(product.hubspot.com) -
Building inclusive products through A/B testing
(engineering.linkedin.com) -
On the shoulders of giants: recent changes in Internet traffic
(blog.cloudflare.com) -
The Importance of Covariates in Causal Inference: Shown in a Comparison of Two Methods
(tech.wayfair.com) -
Presentation: Computational Propaganda - How Algorithms Influence our Decisions
(www.infoq.com) -
Open-Sourcing riskquant, a library for quantifying risk
(netflixtechblog.com) -
Bucketisation: Using cassandra for time series data scans.
(medium.com) -
How Netflix uses Druid for Real-time Insights to Ensure a High-Quality Experience
(netflixtechblog.com)#DBMS #distributed-systems #analytics #real-time #data-engineering
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Understanding Micro-Mobility Patterns using Geospatial Data
(towardsdatascience.com) -
How We Improved Data Discovery for Data Scientists at Spotify
(labs.spotify.com) -
Analyzing anomalies with ThirdEye
(engineering.linkedin.com) -
The Causal Analysis of Cannibalization in Online Products
(codeascraft.com) -
Similarity clustering to catch fraud rings
(stripe.com) -
Accelerating Retention Experiments with Partially Observed Data
(engineeringblog.yelp.com) -
Open sourcing DataHub: LinkedIn’s metadata search and discovery platform
(engineering.linkedin.com) -
The mechanics behind A/B testing
(tech.showmax.com) -
Integrating Elasticsearch and ksqlDB for Powerful Data Enrichment and Analytics
(www.confluent.io) -
Machine Learning Driven Sales and Marketing for Everyone with Einstein Behavior Scoring (Part 1)
(engineering.salesforce.com) -
Anomaly Detection — Product of Data Refinery
(tech.ebayinc.com) -
FireEye: Providing Real-Time Threat Analysis using a Graph Database
(www.scylladb.com)#DBMS #analytics #real-time #graph-processing #data-engineering
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Deep Learning for Anomaly Detection
(blog.fastforwardlabs.com) -
The Deep Tech Behind Estimating Food Preparation Time
(engineering.zomato.com) -
Deep Learning for Anomaly Detection
(blog.cloudera.com) -
Spotify Unwrapped: How we brought you a decade of data
(labs.spotify.com) -
Predicting the Demand of Products Sold Online
(www.semantics3.com) -
Keeping LinkedIn professional by detecting and removing inappropriate profiles
(engineering.linkedin.com) -
Powering Pinterest ads analytics with Apache Druid
(medium.com) -
A Scientific Approach to Capacity Planning
(tech.wayfair.com) -
CTR Optimization via Thompson Sampling
(medium.com) -
Pipeline to the Cloud – Streaming On-Premises Data for Cloud Analytics
(www.confluent.io)#data-pipeline #distributed-systems #apache-kafka #analytics
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D-Curve: An Improved Method for Defining Non-Contractual Churn with Type I and Type II Errors
(engineering.indeedblog.com) -
Want to make good business decisions? Learn causality
(multithreaded.stitchfix.com) -
Architecting Restaurant Wait Time Predictions
(engineeringblog.yelp.com) -
How we used our new GraphQL Analytics API to build Firewall Analytics
(blog.cloudflare.com) -
CCSM: Scalable statistical anomaly detection to resolve app crashes faster
(engineering.fb.com) -
Deep Clustering for Financial Market Segmentation
(towardsdatascience.com) -
Checkout Surveys: A Data Science Approach
(engineering.squarespace.com) -
How Salesforce Protects You From Credential Stuffers
(engineering.salesforce.com) -
New Insights into Human Mobility with Privacy Preserving Aggregation
(ai.googleblog.com) -
Page Simulator
(medium.com)#software-engineering #software-design #analytics #AB-Testing
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Deep Prognosis: Predicting Mortality in the ICU
(blog.insightdatascience.com) -
Anomaly Detection With SQL
(towardsdatascience.com) -
Interpretability in ML: Identifying anomalies, influencers, and root causes
(www.elastic.co) -
Datadog App Analytics/Logs from One to N
(medium.com) -
Using Grab’s Trust Counter Service to Detect Fraud Successfully
(engineering.grab.com)#data-pipeline #software-architecture #machine-learning #analytics
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Learn how to create beautiful and insightful charts with Python — the Quick, the Pretty, and the…
(towardsdatascience.com) -
Attention for time series classification and forecasting
(towardsdatascience.com) -
How Dropbox Security builds tools for threat detection and incident response
(blogs.dropbox.com) -
The “Power” of A/B Testing
(zulily-tech.com) -
Presto for ad hoc interactive Big Data Analytics at Salesforce
(engineering.salesforce.com) -
Real-time experiment analytics at Pinterest using Apache Flink
(medium.com) -
What Makes Apache Flink Scale?
(medium.com) -
Presentation: Real-time Stream Analysis in Functional Reactive Programming
(www.infoq.com) -
PinalyticsDB: A Time Series Database on top of Hbase
(medium.com) -
Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset
(www.confluent.io) -
Machine learning and analytics for time series data
(www.oreilly.com) -
Presentation: Advanced Data Visualizations In Jupyter Notebooks
(www.infoq.com) -
Presentation: Datadog: A Real-time Metrics Database for One Quadrillion Points/Day
(www.infoq.com) -
Introduction to Stream Mining
(towardsdatascience.com) -
Making long-term forecasts at Lyft
(eng.lyft.com) -
Doing Multivariate Time Series Forecasting with Recurrent Neural Networks
(databricks.com) -
Moving Beyond Deterministic Optimization: Making a Decision in the Face of Uncertainty
(multithreaded.stitchfix.com) -
Reimagining Experimentation Analysis at Netflix
(medium.com) -
Design Decisions for the First Embedded Analytics Open-Source Framework
(blog.statsbot.co)#data-pipeline #software-design #software-architecture #analytics #web
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Detecting and Preventing Abuse on LinkedIn Using Isolation Forests
(engineering.linkedin.com) -
Building a real-time anomaly detection system for time series at Pinterest
(medium.com) -
Quantifying UX: Positioning the clone button
(about.gitlab.com) -
A Scalable SQL Database Powers Real-Time Analytics at Uber
(www.memsql.com) -
Understanding Partial Auto-Correlation
(towardsdatascience.com) -
Lynx: Identifying Wayfair Customers’ Functional Needs
(tech.wayfair.com) -
Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want
(multithreaded.stitchfix.com) -
How to Leverage Thematic Analysis for Better UX
(www.toptal.com) -
Dataclips Power Insights at Heroku
(blog.heroku.com)#software-engineering #monitoring #analytics #practices #visualisation
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Swamping and Masking in Anomaly detection: How Subsampling in Isolation Forests helps mitigate…
(medium.com) -
The Scooters Are Coming: let’s require data this time
(www.azavea.com) -
Gemini: Wayfair’s advanced marketing test design and measurement platform
(tech.wayfair.com)#software-engineering #software-design #analytics #AB-Testing
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Presentation: Policing the Capital Markets with ML
(www.infoq.com) -
Recommendation Systems at Scale — Making Grab’s everyday app super
(towardsdatascience.com) -
Presentation: On a Deep Journey Towards Five Nines
(www.infoq.com) -
Pilosa: A Scalable High Performance Bitmap Database Index
(hackernoon.com) -
Community-Focused Feed Optimization
(engineering.linkedin.com)#data-science #software-architecture #machine-learning #analytics #data-engineering
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Gaining Insights in a Simulated Marketplace with Machine Learning at Uber
(eng.uber.com) -
Using Causal Inference to Improve the Uber User Experience
(eng.uber.com) -
Trapped in the Present: How engagement bias in short-run experiments can blind you to long-run…
(medium.com) -
How Not to Fail at Visualization
(grafana.com) -
Modeling the Unseen
(tech.instacart.com) -
Detecting Interference: An A/B Test of A/B Tests
(engineering.linkedin.com) -
Predictive CPU isolation of containers at Netflix
(medium.com) -
MetricsDB: TimeSeries Database for storing metrics at Twitter
(blog.twitter.com)#software-architecture #DBMS #analytics #time-series #data-engineering
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Need for Feature Engineering in Machine Learning
(towardsdatascience.com) -
Accuracy vs Interpretability paradox
(medium.com) -
How to Visualize Data that Really Matters to Business with Grafana and MySQL
(grafana.com) -
Building an Open Source Mixpanel Alternative. Part 2: Conversion Funnels
(blog.statsbot.co) -
Using Deep Learning to Improve Usability on Mobile Devices
(ai.googleblog.com) -
Recipe for building a widget: How we helped to “peak-shift” demand by helping passengers understand travel trends
(engineering.grab.com) -
Understanding Supply & Demand in Ride-hailing Through the Lens of Data
(engineering.grab.com) -
AI for algorithmic trading: rethinking bars, labeling, and stationarity
(towardsdatascience.com) -
Machine Learning-Powered Search Ranking of Airbnb Experiences
(medium.com) -
Improving Experimentation Efficiency at Netflix with Meta Analysis and Optimal Stopping
(medium.com) -
The curious case of disappearing buses
(blog.scottlogic.com) -
Detecting Performance Anomalies in External Firmware Deployments
(medium.com) -
How we do Data QA @ Semantics3: Statistics & Algorithms (Part 1)
(www.semantics3.com) -
Introducing AresDB: Uber’s GPU-Powered Open Source, Real-time Analytics Engine
(eng.uber.com) -
Strength in Numbers - an Overview of Data-Driven Design
(www.toptal.com) -
Classify Songs Genres From Audio Data
(towardsdatascience.com) -
Under the Hood of an Analytics Project
(towardsdatascience.com) -
The truth about Black Friday and Cyber Monday
(blog.cloudflare.com) -
Providing Metadata Discovery on Large-Volume Data Sets
(www.ebayinc.com) -
The Best Data Visualizations for Grabbing Readers’ Attention
(hackernoon.com) -
The Public Git Archive Story
(blog.sourced.tech) -
Measuring What Makes Readers Subscribe to The New York Times
(open.nytimes.com) -
How to deal with the seasonality of a market?
(eng.lyft.com) -
Breaking the Boundaries of Intelligent Video Analytics with DeepStream SDK 3.0
(devblogs.nvidia.com) -
Druid @ Airbnb Data Platform
(medium.com)#data-pipeline #software-architecture #analytics #big-data #druid
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Your Client Engagement Program Isn't Doing What You Think It Is.
(multithreaded.stitchfix.com) -
Splitting Millions of Source Code Identifiers with Deep Learning
(blog.sourced.tech) -
Double-bucketing in A/B Testing
(codeascraft.com) -
Analyzing Experiment Outcomes: Beyond Average Treatment Effects
(eng.uber.com) -
Empowering personalized marketing with machine learning
(eng.lyft.com) -
Testing Privacy-Preserving Telemetry with Prio
(hacks.mozilla.org) -
Turnilo — let’s change the way people explore Big Data
(allegro.tech) -
Consistently Beautiful Visualizations with Altair Themes
(towardsdatascience.com) -
How Etsy Handles Peeking in A/B Testing
(codeascraft.com) -
Presentation: Fast Log Analysis by Automatically Parsing Heterogeneous Log
(www.infoq.com) -
Experimentation & Measurement for Search Engine Optimization
(medium.com) -
Streaming Video Experimentation at Netflix: Visualizing Practical and Statistical Significance
(medium.com) -
Putting the Power of Kafka into the Hands of Data Scientists
(multithreaded.stitchfix.com) -
Designing For Micro-Moments
(www.smashingmagazine.com) -
M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus
(eng.uber.com) -
Sampling in Observability
(medium.com) -
Lessons Learned Developing an A/B Experimentation Tool at Walmart Labs
(medium.com) -
Blueprint: Qualitative and Quantitative Clickstream Event Analysis
(medium.com) -
How Heap Built an Analytics Platform that Auto-Tracks Every User Event
(stackshare.io)#stream-processing #software-architecture #analytics #event-driven
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Presentation: Gimel: PayPal’s Analytics Data Platform
(www.infoq.com) -
Everywhere You Look: Computer Vision at Wayfair
(tech.wayfair.com) -
Analytics on Bare Metal: Xenon and Kafka® Connect
(www.confluent.io) -
Challenges of monitoring sparse data, and what to do about it.
(engblog.nextdoor.com) -
Implementing HyperLogLog in Redshift and Tableau
(tech.instacart.com) -
Automated Canary Analysis at Netflix with Kayenta
(medium.com) -
Building Real Time Analytics APIs at Scale
(blog.algolia.com) -
HTTP Analytics for 6M requests per second using ClickHouse
(blog.cloudflare.com) -
Queryparser, an Open Source Tool for Parsing and Analyzing SQL
(eng.uber.com) -
IoT data storage and analysis with Fluentd, Minio and Spark
(blog.minio.io) -
From big data to fast data
(www.oreilly.com) -
The frequency of tags on Stack Overflow
(towardsdatascience.com) -
Event Stream Modeling
(blog.developer.bazaarvoice.com) -
Service Health Checks, Alerts and a bit of Graphite Plotting
(code.hootsuite.com) -
Introduction to Deep Learning Trading in Hedge Funds
(www.toptal.com) -
Artwork Personalization at Netflix
(medium.com) -
Using Interleaving in Online Experiments to Accelerate Algorithm Innovation at Netflix
(medium.com) -
Analyzing the Performance of Millions of SQL Queries When Each One is a Special Snowflake
(heap.engineering) -
Event Stream Analytics at Walmart with Druid
(medium.com) -
Engineering Uber’s On-Call Dashboard
(eng.uber.com) -
The Global Heatmap, Now 6x Hotter
(medium.com) -
DeepStream: Next-Generation Video Analytics for Smart Cities
(devblogs.nvidia.com)#machine-learning #image-processing #GPU #analytics #video-processing
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Anomaly detection for writing styles
(blog.insightdatascience.com) -
The Impressive Growth of R
(stackoverflow.blog) -
Singular Value Decomposition (SVD) Tutorial: Applications, Examples, Exercises
(blog.statsbot.co) -
Real-time analytics using Postgres
(engineering.semantics3.com) -
Big Dataset: All Reddit Comments – Analyzing with ClickHouse
(www.percona.com) -
Comparison of 4 Point Data Aggregation Methods for Geospatial Analysis
(www.azavea.com) -
Visualizing Machine Learning Thresholds to Make Better Business Decisions
(blog.insightdatascience.com) -
Analyzing distributed trace data
(medium.com) -
Engineering Restaurant Manager, our UberEATS Analytics Dashboard
(eng.uber.com) -
Machine Learning for Nginx Logs - Identifying Operational Issues with Your Website
(www.elastic.co) -
The curious connection between warehouse maps, movie recommendations, and structural biology
(multithreaded.stitchfix.com) -
Streaming SQL in Apache Flink, KSQL, and Stream Processing for Everyone
(data-artisans.com) -
Analyzing Network Packets with Wireshark, Elasticsearch, and Kibana
(www.elastic.co) -
Getting Started on Geospatial Analysis with Python, GeoJSON and GeoPandas
(twilioinc.wpengine.com) -
Sankey Diagrams: Six Tools for Visualizing Flow Data
(www.azavea.com) -
Ingest, Store and Analyze IoT Analytics in Realtime with mnubo
(www.pubnub.com) -
2016 Social, Passwordless and SSO Data: What Can We Learn?
(auth0.com) -
Introducing Memsniff: A Robust Memcache Traffic Analyzer
(blog.box.com) -
Inventory Time Machine
(multithreaded.stitchfix.com) -
Introducing react-tracking — Declarative Tracking for React Apps
(open.nytimes.com) -
Using OpenTracing with Jaeger to collect Application Metrics in Kubernetes
(developers.redhat.com)