Data Con LA 2020
| title | author | length |
|---|---|---|
| Data Con LA 2020 Keynote | Subash DSouza | 02m |
Eighth annual conference adapts from a planned on‑campus USC event to a virtual format after pandemic disruptions, preparations that start in February and… | ||
| Continuous Intelligence: A Sea-Change in Streaming Data Processing | Simon Crosby | 22m |
Claim: continuous intelligence processes streaming data in-memory to analyze, learn and predict on the fly rather than store-then-analyze. Implementation: an… | ||
| Why start using uplift models for more efficient marketing campaigns | Jing Pan | 32m |
Uplift modeling replaces propensity scoring to optimize incremental revenue by estimating conditional average treatment effect per user using Uber’s… | ||
| Using Data to Track Social Change | Jessica Medrano | 29m |
A benchmark census of mainstream TV, OTT and top box-office films (Jan 2018–Aug 2020) parses every show and episode to ID lead actors, showrunners and episode… | ||
| Tales of a German Building Diverse Teams Across All Time Zones | Isabella Zaczek | 32m |
Built a global customer operations team for 250+ global accounts across five continents, using an 80/20 rule (80% unified processes, 20% local rituals) and… | ||
| Sunday Keynotes | Ron Galperin, Brian Kursar, Larry Dominique, Lacey Plache, Brian Dolan, Michael Berman, Bryan Kirschner | 01h 15m |
City of Los Angeles launches Control Panel LA (2013) and publishes a neighborhood COVID heatmap by race/age, a job‑loss map, an open checkbook with 10 years of… | ||
| The State of Artificial Intelligence in the Nonprofit Sector | Jared Sheehan | 37m |
PwrdBy releases a 35-page state report built from a 212-practitioner survey using diffusion of innovation theory plus a meta-analysis and investment review… | ||
| Responsible AI | Suresh Paulraj | 39m |
Microsoft presents concrete governance: six principles — fairness, reliability and safety, privacy and security, inclusivity, transparency, accountability —… | ||
| Powering Location Data for Good | Karisa Schroeder | 40m |
Location data connects disparate datasets and is 80% of data so it is used here to analyze, predict, and act with ArcGIS Hub, Living Atlas, story maps… | ||
| Pitfalls and pro-tips for effective and transparent BI tools data science & applications | Jason Medina | 37m |
Practical rules for self‑service BI: track data lineage with Confluence or a GitHub repo so analysts see source fields, favor a layered stack — a data reader… | ||
| People Analytics and Data Science | Sreyoshi Bhaduri | 41m |
Defines people analytics as using demographic engagement and interaction data to run descriptive predictive and diagnostic tasks and shows concrete examples… | ||
| Panel - Data and Government | Jagjit Dhaliwal, Kevin Gray, Jeanne Holm, Lea Eriksen, Phillip Leclair | 01h 33m |
Los Angeles region agencies describe concrete results: a county information hub links records to find 20 million unique records and shows 1.34 million people… | ||
| Panel - Accessibility Challenges in 2020 | Joe Devon, Bryce Johnson, Lori Samuels, Karo Caran | 01h 31m |
Panel lists concrete wins and gaps: an Xbox Adaptive Controller ships with two large buttons and dozens of 3.5mm ports so external switches map to any… | ||
| Owning Your Own (Data) Lake House | Antje Barth | 41m |
Demonstrates an Amazon Redshift lake house that queries S3, Redshift and RDS without moving data by using Redshift Spectrum to push down SQL, federated queries… | ||
| Applying an intersectionality lens in data science | Daphne Cheung, Rachel Whaley | 39m |
Reframes predictive churn from “women vs men” to predicting employee churn overall, then disaggregate data into subpopulations (race, age, disability, sexual… | ||
| Know Your Community: Data Power to the People | Preston Mills | 39m |
City of LA turns open datasets into a neighborhood toolkit: a live Know Your Community portal built on GeoHub and data.lacity (over 1,000 datasets, 40M page… | ||
| How to become a Business Intelligence Analyst | Christian Bourdeau | 42m |
Explains a concrete path from food photographer to senior BI roles at Nike and PlayStation by learning Excel, SQL, Python and Tableau, using cloud… | ||
| Help Me, Help You: Supporting Your Data | Kisa Brostrom | 39m |
Framework for turning analysis into revenue: collect time series and historic state early, build pipelines and a source‑of‑truth data model that cuts… | ||
| Healthcare deserts: How accessible is US healthcare? | Andrew Kaszpurenko | 32m |
Uses Medicare procedure volumes and ZIP lat/long to map every US ZIP to its nearest hospital, computes travel thresholds in Python (brute force geodesic first… | ||
| Gradient Boosting Machines (GBM): from Zero to Hero (with R and Python code) | Szilard Pafka | 40m |
Claims GBMs usually beat deep learning on structured/tabular business data and are easy to run: demos use xgboost lightgbm and h2o from R and Python on an… | ||
| Effective Data-driven Product Roadmaps | Alex Alwan | 37m |
Framework for continuous roadmaps that scores ideas by reach, impact and effort and prioritizes using an impact vs effort matrix. Defines success per feature… | ||
| DevOps is to Infrastructure as Code, as DataOps is to...? | Karun Bakshi | 30m |
Claim: Data Transformation as IaC makes DataOps scalable by treating transformations as repeatable, deployable code. Demonstrates a platform (Xcalar) that runs… | ||
| Data Versioning - does it mean what we think it means? | Einat Orr | 36m |
Compares concrete tools and use cases: DVC and MLflow for versioning data+code+configs in ML pipelines; Iceberg, Hudi, Delta Lake for adding mutability to… | ||
| Building Modern Data Pipelines on GCP via a FREE online Bootcamp | Parham Parvizi | 39m |
Free online bootcamp teaches a runnable GCP pipeline that ingests multi-year flight data, profiles 30M+ user profiles and processes 100M+ streaming events… | ||
| Data Mastering at Scale with AI | Sonal Goyal | 37m |
Enterprise MDM replaces brittle fuzzy keys with a pipeline that uses active learning, clustering and classification to learn blocking and matching rules… | ||
| Complex Data Transformations Made Easy | Nikita Ogievetsky | 39m |
Claims a cloud‑scale compute layer (Xcalar) that replaces low‑level Spark code with an IDE using SQL + Python and visual modules, demonstrated by converting… | ||
| Combining datasets to find solutions to homelessness | Andres Ocon | 38m |
66,000 people experience homelessness in Los Angeles, with about 25,000 unsheltered; Prop HHH funds a 10,000-unit goal and the city tracks 111 Triple H sites… | ||
| Battery Storage Integration Into The Electric Grid | Vivian Sultan | 43m |
Presents a decision framework that scores sites by local supply versus demand, proximity to substations and circuit capacity constraints and instantiates it in… | ||
| Actionable Data to Protect the People | Ray Cheung | 26m |
SmartAirLA builds a pilot system in the LA Harbor/Long Beach area that sends asthma alert texts and publishes an asthma heat map using anonymous, aggregated… | ||
| Agile Scrum Overview | Sonia Macias | 35m |
Covers the agile manifesto and the 12 principles, explains Scrum roles (Product Owner, Development Team, Scrum Master), ceremonies (sprint planning, 15‑minute… | ||
| AI and the Law | Morvareed Salehpour | 41m |
Survey of legal pain points for AI: explains that facial recognition error rates for minorities and women persist, that bots caused large-scale misinformation… | ||
| Applying Data Science and Analytics in Marketing | Tochukwu Matthias | 40m |
Describes building a marketing mix model over historical spend (company example: $20M annual marketing) that uses regression and ML to forecast returns and… | ||
| Being Right Starts By Knowing You're Wrong | Ryan Johnson | 41m |
Argues that companies get the most value from explicitly measuring error, showing concrete metrics and examples: expected 1,000 units vs 670 (330 units error)… | ||
| Big Data And The Law: What Every Data Enthusiast Should Know | Hana Oh | 41m |
Legal practice now uses e-discovery, litigation analytics and electronic forensics to handle massive data: tens of millions of patents complicate… | ||
| Calling All Data Scientists for the Common Good in Cities | Eva Pereira | 18m |
Los Angeles runs two volunteer programs: Data Angels (career data scientists) and Data Science Federation (17 universities, 300 students, 30+ projects). City… | ||
| Commandeer Your Data in The Cloud | Alex Tamoykin, Bob Wall | 38m |
Commandeer is a native desktop app that connects real cloud pieces — S3, DynamoDB, Lambda, Glue crawlers, Athena, CloudWatch, SQS, Postgres (and planned… | ||
| COVID-19 Impacts on the Food System and Food Security in Los Angeles County | Kayla Haye | 40m |
A rapid LA County study uses a representative panel (≈1,800 respondents, tracked weekly) plus Yelp outlet data, cell‑phone mobility, Census and partner program… | ||
| Cybersecurity, Privacy and Data Security from a Business Lawyer's Perspective | Kathy Winger | 36m |
Review of case law and enforcement shows companies of any size face liability and must act before, during and after breaches; the FTC applies a commercially… | ||
| The Data Governance Effect: An exploration into the foundations and future of data collaboration | Spencer Ward | 34m |
Claims that COVID compresses five years of digital adoption into about eight weeks (McKinsey) and that analytics projects fail >75% of the time… | ||
| Forget becoming a Data Scientist, become a Machine Learning Engineer instead | Sujee Maniyam | 41m |
Argues that becoming a machine learning engineer means taking models into production, not just exploring algorithms; recommends starting with Python and… | ||
| Finding the Problem to Solve: Human-centered AI | Raleigh Tomlinson | 37m |
Advocates a UX-first claim: start by validating a user problem before building AI, then choose whether to augment decisions or automate predictable tasks… | ||
| How Ranker Turned Pop Culture Lists Into Personalized TV Recommendations | Vincent Seah, Keryu Ong | 38m |
Ranker turns its 1B votes cast into a recommender that tackles cold‑start new TV shows by parsing users into synthetic split users and training multiple… | ||
| How to turn traditional Industrial Companies into Modern, Digital-Data Driven Companies | Sugath Warnakulasuriya | 40m |
A $2B industrial operator that owns and services 1,000,000 machines becomes digital by retrofitting cheap IoT feeds, using cloud APIs and Tableau dashboards to… | ||
| How we solved for Aggregation, Search and Time Series Big Data usecases using Elasticsearch Database | Akbar Rangara | 37m |
QuickBooks Online builds search, aggregation and time-series on Elasticsearch with Kafka for ingestion and AWS Elasticsearch as managed hosting, achieving 24… | ||
| Tutorial - Intro to Data Science | Zia Khan | 04h 03m |
Hands‑on build of a loan‑default classifier using a 614×13 CSV: code runs in Google Colab with pandas & scikit‑learn and matplotlib. Workflow: data import… | ||
| Key Elements for a Successful Service Analytics Program | Steve Rimar | 39m |
Describes how a self‑service analytics program scales from a pilot to enterprise use with concrete numbers and tools including 500 developers 3000 applications… | ||
| Machine Learning over Small Data: generating new variables with predictive power | Luis Valdeavellano | 40m |
A demand model is built from 72 restaurants’ weekly sales by enriching coordinates with Google Places to create 336 generated variables across 21 categories… | ||
| Become an data driven organization through unified metadata using ODPi Egeria | Mandy Chessell | 40m |
ODPi Egeria builds a distributed virtual graph that links metadata across existing tool repositories using lightweight connectors, replication plus federated… | ||
| One Size Doesn't Fit All: How data can support tailored approaches in public health | Emily Conant | 29m |
Nexleaf deploys Bluetooth temperature sensors and a StoveTrace dashboard to log cooking events and compare self-reports with objective use; a Nigeria pilot of… | ||
| Money & Opportunities for Data Analysis Startups Post COVID | Sid Mohasseb, John Harbison, Nader Fathi | 01h 29m |
Post-COVID investors tighten valuations but keep deploying capital; angel group data shows medians rose pre-pandemic and surveys expect 10–30% valuation drops… | ||
| Panel - Think in Color | Michelle Emelle, Ericka Odom, Lima Muhammad, Miesha Robinson, Linda Mejia, Tahnee Bedward, Lori Gray | 01h 25m |
Panelists report concrete effects: people remove HBCU and cultural affiliations or change names and one panelist gets more interviews after using her middle… | ||
| Panel - Women in Data Science | Kristianna Chung, Karla Guerra, Kerry Weinberg, Sonali Son, Stacey Ronaghan | 01h 27m |
Panel summarizes concrete work and numbers: applying ML to EHR to predict two-year fracture risk using NLP-style next‑token models and active COVID outcome… | ||
| Pulsar Functions Deep Dive | David Kjerrumgaard | 36m |
Pulsar Functions implements lightweight serverless stream processing on Apache Pulsar, running function instances as threads/processes/pods (including… | ||
| Quantum Computing: The next new technology in computing | Mark Jackson | 41m |
Claims that Google achieves Quantum Supremacy last year and that IBM doubles quantum volume yearly sit alongside hardware milestones: Honeywell reports quantum… | ||
| Rapid Prototyping Data Platforms: A D4G Case Study with the Clean Air Coalition and partners | Ronni Kimm, Eddie Park | 41m |
A clickable dashboard prototype that automates aggregation and formatting of data from 200 PurpleAir sensors appears after a 10-day rapid sprint using… | ||
| Realtime prediction of C-section risk for laboring mothers | Matthew Wells | 38m |
Cedars‑Sinai builds a real‑time C‑section risk pipeline that scores laboring mothers at admission and then updates real-time updates every 10 minutes using… | ||
| Reframing intimate partner violence as a systemic economic issue using data | Kirkley Doyle, Tannia Ventura | 40m |
FreeFrom distributes 1,100 one‑time unrestricted cash grants (average $244) via PayPal, check or direct deposit and surveys 300 recipients across 36 states and… | ||
| Stargate, the gateway for some multi-models data API | Cedrick Lunven | 38m |
Stargate is a runtime proxy that exposes CRUD and GraphQL APIs plus CQL and a document API atop Cassandra (3.11, 4.0, DSE) so clients use HTTP/JSON instead of… | ||
| The Emerging Role of a Data Product Manager | Cindy Lin | 39m |
HopSkipDrive hires a Data Product Manager to treat internal data as a product, reduce wasted time, and boost self‑service BI. Work starts with 24 interviews… | ||
| Using AI to Build Fair and Equitable Workplaces | Lawrence Spracklen, Sonya Balzer | 41m |
A workforce analytics platform that mines digital communications with NLP and pretrained models (BERT, word embeddings) claims to score sentiment… | ||
| Visualizing COVID-19 Data | Alex Pudlin | 42m |
City collects and centralizes fragmented county and municipal data into a daily briefing system that reaches the mayor and is publicly downloadable producing… | ||
| What if a Robot Could Laugh at Your Jokes? (Laughter Prediction with Natural Language Processing) | Andrew Jamieson | 33m |
Transcripts total about 160,000 words and 5,500 laughs from Carlin and Chappelle across 19 hours, preprocessed into rolling groups of three sentences and… | ||
| Why is your model stuck in the lab? How to move your model from the lab to production | Jeff Moore | 39m |
Models stall because alignment and change work are missing not because algorithms fail; eight of sixteen top obstacles are nontechnical. Process: start with… | ||
| Saturday Keynotes | Karen Borchgrevink, Jeanne Holm, Todd Terrazas, Karthik Ramasamy | 01h 26m |
Panel covers four Data 4 Good pods that ran 12 interviews and logged 600+ volunteer hours to produce a research dossier, a 10-day design sprint prototype for a… | ||
| Using Data to Empower Youth Program Participants at Changeist | Manijeh Mahmoodzadeh | 38m |
Changeist texts middle and high school participants multiple times per program day using Experience Sampling Method via text to capture momentary cognitive… | ||
| The Future of Mars Exploration: A Tale of Perseverance and Curiosity | Anita Sengupta | 38m |
Mars 2020 Perseverance searches for ancient biosignatures while caching rock cores for a future Mars Sample Return, uses MOXIE to split atmospheric CO2 into… | ||
| Secure Machine Learning: Overcoming Algorithmic Bias, Adversarial ML in the Wild West of AI | Hunter Carlisle | 39m |
Timeline: deep nets unleashed in 2012 and real attacks appear by 2016 — Tay taken down after 16 hours is cited as a poisoning example and UW researchers show… | ||
| Quantifying Genuine User Experience in Virtual Desktop Ecosystems | Wendy Howard | 33m |
Measure round trip time <250ms and response times under 250ms, track per‑user bandwidth and break logon into initialization authentication profile policies so… | ||
| Panel - Tips for Writing an Effective AI and Deep Learning Book | Chris Fregly, Jess Haberman, Dean Wampler, Rustem Feyzkhanov, Robert J Munro, Francesco Mosconi | 59m |
Panel reports practical author choices: publishing route matters (self-publish boosts revenue, a major publisher supplies reviewers and marketing), many… | ||
| Panel - Diversity in Data Organizations: Building a Representative Workforce and Why it Matters | Rebecca Friedman, Nicholas Haystings, Lindsay Poirier, Samta Kapoor, Vince Vu | 01h 26m |
Panel argues that representative teams and documented data practices stop harm and improve outcomes and gives concrete steps and examples. Public policing data… | ||
| Maximizing Impact of Analytics Teams | Jai Bansal | 37m |
Three broad problems: analytics used as a weapon, chronically low bandwidth, and company distrust. Practical fixes: focus on a few areas and prioritize… | ||
| An integrated genomic surveillance platform reveals multiple introductions of SARS-CoV-2 | Lishuang Shen | 34m |
A public genomic platform (CARD) collects >80,000 SARS‑CoV‑2 genomes and a Virus Genome Tracker that places any new sequence into global and USA phylogenies in… | ||
| How to Leverage Marketing Analytics to Source Better Talent | Harrison Tang | 41m |
Spokeo adapts STP marketing and builds a talent analytics pipeline from raw ingestion, entity linking and standardized schemas to make hiring measurable… | ||
| Enabling Data centric Teams | Nawar Khabbaz | 39m |
Argues that opening raw data and enabling domain teams to experiment shortens time to insight and lowers costs, with concrete tooling and patterns: JupyterHub… | ||
| Delta for your Data: How to efficiently track and store deeply nested data changes | Sep Dehpour | 40m |
DeepDiff claims a production-grade way to version nested data: 1.7 million monthly downloads, a new Delta/patch that applies to CSV JSON YAML and arbitrary… | ||
| Data warehouse or conventional database: Which is right for you? | Robert Hodges | 40m |
Compares MySQL row store vs ClickHouse column store with concrete tradeoffs: MySQL uses a clustered B‑tree index, runs on a single server and easily supports… | ||
| Data Privacy and Security by Design | Lisa Rapp | 40m |
Claims that three to five data points can reidentify over 80% of people and that privacy staffing has grown ~200% drive a pragmatic checklist: perform a full… | ||
| Data Migration Lessons from the Trenches | Nuri Halperin | 40m |
Migration moves many MongoDB clusters (about 30 source databases with wire versions from 3.2 to 3.6) into Amazon DocumentDB and reveals concrete blockers… | ||
| Approaches to online quantile estimation | Joe Ross | 37m |
Compares concrete streaming quantile data structures: Greenwald‑Khanna (ordered tuples with gi/delta compression), the KLL compactor hierarchy (randomized… | ||
| Apache Druid 101 | Matt Sarrel | 39m |
Apache Druid is a column-oriented, time-partitioned database that claims sub-millisecond to sub-second query times by ingesting streaming and batch data… | ||
| Tutorial - Intro to Kubernetes | Rob Richardson | 03h 23m |
Hands‑on workshop that gets a local K8s cluster running via Docker Desktop Kubernetes mode (minikube and Azure demos included), builds images from Dockerfiles… | ||
| Data Con LA 2020 - Friday Keynotes | Dimas Soeprapto, Subash DSouza, William Kehoe, Dr. Safiya Noble, Rebecca Ye, Peter Zaitsev, Dr. Jenny Rankin | 01h 01m |
A county builds an information hub that merges health, housing, justice and social services into a master data management platform with a common anonymized… | ||
| Application of Multi-class Supervised Algorithms to Identify COVID-19 Viral Strains | Rishov Chatterjee | 33m |
Applies DFT plus Shannon entropy to create a single magtropy feature from viral genomes, trains tree-based models (XGBoost, decision trees) with 10-fold CV and… | ||
| Machine Learning applications in accessibility | Sheri Byrne-Haber | 28m |
VMware builds vA11y (code-named vli) to automate currently manual accessibility tests, pushing the 30% automated / 70% manual split toward 50/50 by end of… | ||
| Self-Service ETL: The PowerBI Data Flows | Dennes Torres | 40m |
Live demo builds two data flows (Customer and Geography) then a merged CustomerGeo flow, using the portal Power Query editor and Power Query/M scripts moved… | ||
| The End of User Authentication & the Coming Auto Authentication by the Server | Don Malloy | 20m |
Claim: user-driven passwords and fragmented biometrics give way to auto authentication by the server and a self-sovereign authentication model where the server… | ||
| CICD Pipeline and delivery of Apache Spark Applications on the cloud using AWS | Babu Repaka, Maria Fung | 24m |
Claims a working CI/CD for Apache Spark on AWS that cuts manual steps by automating build, test, integration and multi-account deployment. Pipeline uses… | ||
| High-throughput cellular analytics to identify central nervous system targets for gene therapy | Helen Poldsam | 24m |
Pipeline uses single-cell RNA-seq on thousands to tens of thousands of cells, reduces ~20,000 genes to ~10–25 principal components, then clusters with a shared… | ||
| Streaming Fast and Slow | Caito Scherr | 38m |
Practical guide to using metrics to shape streaming apps with Apache Flink and external reporters (Prometheus, Datadog). Emphasizes measuring watermarks… | ||
| Digitization and change of FP&A | Rafi Wadan | 41m |
Research analyzes ~75k job ads and finds FP&A roles remain ~2–3% of demand while transactional accounting is highly automatable; companies accelerate… | ||
| Using a modern data stack to explore & visualize the impact of a global pandemic on airline traffic | Yasha Mouradi | 39m |
A functioning ELT pipeline lands OpenSky state vectors every 30 seconds to S3, yields about 2.5 billion points since late 2018, and after a 50% cleanup groups… | ||
| Unifying Analytics | Paige Roberts | 35m |
Claim: unify data lake and warehouse so BI and ML run on the same platform and avoid duplicate ETL. Implementation examples: Uber and The Trade Desk move raw… | ||
| MySQL Without the SQL -- Oh My! | Dave Stokes | 26m |
Shows how to use X DevAPI over port 33060 to do CRUD on JSON collections, including transactions and generated _id handling; demonstrates a parallel bulk… | ||
| The Power of Growth Data | Jennifer Aplin, Alice Chandrasekaran | 29m |
Claims that 99.5% of collected data goes unused and that companies routinely sit on surprising reserves like $2M in stagnating qualified leads, with five… | ||
| Data and the Future of Gaming Post COVID | Kunny Berdow | 34m |
Gaming usage spikes during COVID with mobile as the engine of growth — market revenue now nearly double film and music combined and platforms record 1.2… | ||
| Getting Insights through Conversational Chatbots for Analytics | Anand Ranganathan | 31m |
A chat-based analytics platform demonstrates that nontechnical users can ask natural-language and voice questions, get auto-generated SQL and immediate map and… | ||
| Powering Location Data for Good | Karisa Schroeder | 23m |
ArcGIS Living Atlas surfaces ready maps and apps that tie real data to decisions: ArcGIS Living Atlas hosts the free app Indicators of the Planet that flags… | ||
| Data Sharing for State and Local Government | Nick Speece | 33m |
Snowflake demonstrates live, permissioned real-time shares that let agencies query provider data without copying it, using AES-256 encryption, FedRAMP Moderate… | ||
| Attributing real-world outcomes to sponsorships | Karim Varela | 37m |
Claims a platform that ties sponsorships to real outcomes by matching rights-holder PII, location and TV exposure, and transaction data via partners like… | ||
| An Introduction to IoT (Internet of Toilets); Or How I Built an IoT Kitty Litter Box Using JS | Joe Karlsson | 18m |
Builds a working IoT smart kitty litter box that logs cat weights and visit timestamps using a Raspberry Pi, Johnny-Five for GPIO, a magnetic switch for… | ||
| Automating Production Production Level Machine Learning on AWS | Mark McQuade | 32m |
Framework named "model factory" claims to cut ML deployment from months to weeks by reducing 25+ manual steps to ~10 and automating promotion across… | ||
| PySpark : Combining Machine Learning & Big Data | Ayon Roy | 35m |
Shows how to fuse machine learning and big data by running PySpark pipelines and MLlib algorithms at scale, ingesting from sources like MongoDB and HDFS and… | ||
| OpenDS4All: An open education project to accelerate the the development of data science curricula | Andre de Waal | 24m |
An open curriculum kit of 15 modules on GitHub provides slides, instructor notes, code and data links under Apache 2.0 license and targets the full data… | ||
| Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterprise: The SEAL Method | Jeff Bertman | 43m |
Introduces SEAL as a CRISP-DM upgrade that adds SLAs, iterative feedback loops, and continual improvement so models survive enterprise scale and multi‑cloud… | ||
| Management of Data Communities | Jerry Power, Ryan Kurtzman | 44m |
Long Beach uses an internal data‑sharing administrative rule plus an Open Lattice deployment to run the Justice Lab that links health, police and fire records… | ||
| Tutorial - Intro to Data Engineering | Abraham Elmahrek | 03h 08m |
Hands-on intro that actually builds things: attendees import a VM image datacon la2020 into VirtualBox, use Python + Spark labs to run pip installs (requests)… | ||
| Data Lakes with Azure Databricks | Dustin Vannoy | 36m |
Shows how to build a data lake on Azure using Azure Databricks + ADLS Gen2 and Event Hubs for Kafka with concrete code: an external table over CSV, convert to… | ||
| Moral Responsibility of Data Professionals - Whistleblowing | Ryan Lee | 41m |
Data professionals have concrete duties: know every data source and pipeline, enforce change management, access governance and incident response, and get… | ||
| nothing matches | ||