Big Data LDN 2022
| title | author | length |
|---|---|---|
| Using Dataops To Build And Manage Data Products On Snowflake | Paul Rankin, Guy Adams, Omar Khawaja | 28m |
Roche moves analytics onto Snowflake with DataOps.live as the orchestrator and CI/CD engine, wiring GitLab + declarative YAML pipelines, automated testing… | ||
| How Parkdean Resorts Uses Data To Improve Decision-making And Deliver Increased Shareholder Value | James Gardner | 29m |
Parkdean centralizes 66 parks serving 3.5 million holidays a year and builds a data stack on Microsoft Azure, Snowflake, Matillion, HVR, an IQ data science… | ||
| From Data Warehouse To Self-service BI: Our Journey To Data Mesh | Yassine Trad, James Allum | 25m |
Big replaces heavy Analysis Services import cubes with Dremio sitting over ADLS Gen2 and legacy RDBMS, exposing virtual datasets and row‑level security to… | ||
| Component Based Data Warehouse And ML Development – New World Order Or Marketing Hype? | Mike Ferguson | 32m |
Argues that component-based development is already practical: ETL/ELT pipelines, DBT SQL models, Looker semantic layers and Azure Data Factory/Dataplex… | ||
| Modern Data Flow: Data Pipelines Done Right | Dan Rosanova | 29m |
Apache Kafka and Confluent power a shift from batch to real time with five concrete principles: Streaming, Decentralized, Declarative, Developer Orientated… | ||
| How The Application Of Machine Learning Is Changing The Way Companies Use Data | Keesup Choe | 21m |
Claims that retrospective BI must give way to predict-and-prevent workflows and cites a Forbes stat: only 22% of enterprises have ML in production. Identifies… | ||
| The Great Data Debate 2022 | Mike Ferguson, Benoit Dageville, Shinji Kim, Chis Gladwin, Tomer Shiran | 55m |
Cloud-first architectures push compute into databases so teams treat storage (Parquet, object stores) and Apache Iceberg as the canonical layer, claim vendors… | ||
| Panel Debate: Data Mesh – What You Need To Know | Kevin Petrie, Zhamak Dehghani, Omar Khawaja, Justin Borgman, Cindi Howson, Jules Marshall | 51m |
Data Mesh is presented as a shift from centralized warehouses to domain-owned data products as first-class APIs, with teams using Starburst, dbt and… | ||
| Fireside With Natwest: Inside Their Data & Analytics Machine | Arun Mehta, Justin Borgman | 28m |
NatWest describes moving from centralized warehouses to a product‑centric, federated architecture that queries data where it lives using Starburst/Trino to… | ||
| From Data Sharing To Data Collaboration | Matthias Nicola | 26m |
Study of ~1,000 IT leaders finds only 55% have unimpeded internal access to data and 45% can share with partners, so Snowflake pushes live, no-copy sharing via… | ||
| Rewire For Data Mesh: Atomic Steps To Rewire The Sociotechnical Backbone Of Your Organization | Zhamak Dehghani | 25m |
Data Mesh reframes analytical data as domain-owned data products with computational APIs, not files or tables, and claims decentralization fixes friction and… | ||
| Scaling Digital Innovation With Responsible Data Democratisation | Karthik Ravindran | 24m |
Microsoft describes a four‑ to five‑year internal data overhaul that moves from no strategy and siloed teams to a federated model where business teams build… | ||
| Panel Debate: Rise Of The Data Engineer | Simon Whiteley, Con Conlon, Dan Keeley, Adi Polak, Adam Locker | 51m |
Panel argues data engineering now means cleaning decades of technical debt and plumbing lots of varied sources into usable products, with hiring demand… | ||
| Building A Domain-driven Data Strategy at Checkout.com | Alexandre Carvalho | 26m |
Checkout builds domain-oriented data stacks that auto-generate a Snowflake database, compute warehouses, a preconfigured DBT project and an Airflow repo, plus… | ||
| Driving Energy Transition With Data And Technology: A Perspective From VTTI | Hans Geurts, Leander Peters | 28m |
VTTI describes a data program that centralises 36 data sources from 16 terminals into Denodo and publishes models to Power BI, enabling a first predictive… | ||
| Driving Adoption and Fostering A Data Culture: Hush’s Data Journey | Brad Woodward, David Johnson | 25m |
Hush builds an end-to-end analytics platform from scratch using Greenfield build on Domo, centralizing Excel chaos into a single source of truth and enabling… | ||
| Keeping Pace With The Changing Regulatory Landscape: UK & EU Updates | Marco Barone, Tudor Galos | 30m |
UK data reform is paused while the ICO pushes its ICO-25 vision for clearer enforcement and guidance; the EU advances the AI Act, Data Act, DMA/DSA and DGA and… | ||
| The Realities Of Data Mesh – How To Drive Value And Engagement From Your Data Products | ANDY MOTT, Andrew Sharp, Michael Terrell, George Carter | 30m |
Panel argues that practical steps beat buzz: start with a measurable business use, prove value with a small data product, and avoid federating too fast or… | ||
| How The Right Data Strategy & Martech Can Enable Security & Privacy Compliance | Sachiko Scheuing, Dorothy Chong, Lani Kakiet | 26m |
Claims that a Customer Data Platform plus a cataloged data lineage and enforced access policies let teams respect consent per jurisdiction, resolve identity… | ||
| How Data Discovery & Stewardship met GDPR Compliance | Garry Manser, Mark Cooke | 26m |
Vanquis Bank uses BigID with a Nephos-managed service to scan across on‑prem and cloud stores, classify structured and unstructured files, and push 1:1… | ||
| Data’s Rotten Scoundrels – How To Avoid Becoming One | Steve Totman | 24m |
Countdown of the five worst personal-data abuses includes toxic combiner salary leaks, headphone “creeper” collection, and an internal Napster-style black… | ||
| Democratizing Data With A Logical Data Fabric, Powered By Data Virtualization | Mark Pritchard | 25m |
Denodo pitches a logical data fabric that reduces replication by layering a Denodo platform virtual abstraction over Oracle, Presto and REST APIs, used by… | ||
| Data: Moving with the flow | Alex Walden | 25m |
Argues that stream processing replaces slow batch jobs with near‑real‑time pipelines using Apache Flink; cites Alibaba running Flink at 19–20,000 CPU cores… | ||
| Funnel Analysis In Mobile Gaming: Leveraging Approximation Algorithms For Low Latency Analytics | Magnus Henoch, Ramon Lastres Guerrero | 26m |
GameAnalytics runs on Apache Druid and Imply to serve ~200 million daily active users and ingest ~600 billion events per month (peak ~280k events/sec)… | ||
| A Successful Talent Strategy Doesn’t Default To Recruitment | Jez Clark, Eden Smith | 29m |
Claims that talent strategy must shift spend from hiring toward retention and L&D, arguing current 80/20 recruitment split should move to 50/50; market data… | ||
| Developing A Data-driven Marketing Culture With Fivetran & dbt | Chris Rushton | 27m |
Four concrete steps: provision a cloud warehouse (BigQuery/Snowflake/Databricks), add prebuilt connectors (over 200+ connectors including 10 ad platforms like… | ||
| The Role Of A Well Implemented Data Mesh In Achieving Your ESG Responsibilities | Robin Tandon | 22m |
Claims that a data virtualization layer plus a logical data fabric lets domains publish governed data products, cut unnecessary replication and serve real-time… | ||
| Why A Truly Great Data Strategy Isn’t About Data | Dr. Alex Leathard | 27m |
UK organisations spend £24bn annually on data projects but most fail because the focus is on data not change. Claim: success hinges on aligned motivations and… | ||
| Ingesting A Million Time Series Per Second On A Single Instance | Javier Ramirez | 30m |
Claimed ingest rate exceeds 1.4M rows/sec on a single instance while serving queries concurrently. Implementation details: a columnar, time‑partitioned engine… | ||
| Data Mesh – Architecture And Insights From The Self-service Platform Boosting Financial Services | Roberto Coluccio, Stefano Patti, Giovanni Lombardo | 30m |
Agile Lab builds a self‑serve platform called Data Mesh Boost with a declarative Data Product Specification (YAML on GitHub), a Builder, a provisioner that… | ||
| How Deliveroo Use Spatial Data Science To Fuel Growth | HELEN MCKENZIE | 22m |
Deliveroo-style problems get concrete answers using Carto: connecting cloud warehouses, the Data Observatory with 11,000 premium datasets, and browser-based… | ||
| Unpacking The Data Product Experience So Far | ANDY MOTT | 25m |
Data products are practical artifacts not vague concepts: a text file with declarations that starts compute, runs code, tags catalogs and pushes policies… | ||
| How To Develop & Operate An Agile Cloud Datawarehouse In A Rapidly Changing Multi-ERP Environment | Ville Viitanen | 27m |
Fortum R&W builds a cloud “data Bazaar” on Snowflake (AWS → Azure) with Agile Data Engine auto-generating DDL, ETL workflows and CI/CD so two engineers push… | ||
| Building The Data Dream Team | Jesse Anderson, Zhamak Dehghani, Harvinder Atwal, Rob Winters | 55m |
Panel argues for domain-aligned, cross-functional teams that own and ship data products using a central self-serve platform and governance as policies as code… | ||
| Delivering Modern Data Stacks With dbt to Operationalise Analytics | Tim Harrison, Ernesto Ongaro | 23m |
HG Capital builds a core cloud platform that uses dbt for transformation, version control, automated tests and lineage, adopted across 10+ portfolio companies… | ||
| Data Mesh, With Alteryx Designer Cloud Powering Self-serve Data Infrastructure | Francesco Contin | 14m |
Collibra builds a self-serve data stack that lets domain analysts produce and publish data products in days instead of weeks by pairing Alteryx Designer Cloud… | ||
| Live Coding a KPI Dashboard With Apache Kafka® | Kris Jenkins | 31m |
Live codes a real-time sales KPI dashboard from an empty directory in a 40‑minute demo, using ksqlDB to create a one‑row aggregate table called dashboard2 with… | ||
| How Apache Kafka® Generates Value In Retail With Confluent | Anna Semjen | 21m |
Shows a concrete migration path from monolith to event-driven microservices using Kafka: use CDC to stream DB changes into a topic for reads, then move writes… | ||
| Delta Lake – The Foundation Of Your Lakehouse | SARAH CARTHY | 18m |
Delta Lake is an open storage layer that delivers ACID transactions and time travel on top of Parquet so lakes act like warehouses. Claims include 24x faster… | ||
| Data Mesh In Practice – How To Set Up A Data Driven Organization | Max Schultze, ANDY MOTT | 31m |
Case study-backed guidance on rolling out Data Mesh: pilot a simple data product (finance is a good candidate) over about three months, iterate infrastructure… | ||
| Modern Data Stack: New Terminology Made Clear | JAMES LUPTON | 29m |
Defines four concrete solutions and where they fit: data observability (freshness, distribution, volume, schema, lineage) aims to stop data downtime and… | ||
| Speed Wins: The Basics Of How To Push More Queries Through Each CPU Core | Aitana Azcona | 25m |
Real case: a 1.1B-row (~30GB) events table returns an 8s query that reads ~42GB; reordering sort keys to event + timestamp and pushing filters first cuts reads… | ||
| Building A Thriving Data Culture That Ignites The Fire To Fuel Innovation | Philip Miller | 28m |
Solidatus maps actual lineage across dozens of systems (the uploader notes a real case of ~115 people and 40–60 applications) and exposes a living, searchable… | ||
| Metadata Management For The Masses – Curate, Curate, Curate! | Chris Unwin | 31m |
Argues that enriched metadata and active curation turn a technical schema list into usable data products, cutting the 60–70% of time IDC says consumers spend… | ||
| Transforming Data at a 110 Year Old Manufacturing Company | Reema Vadoliya | 24m |
Whirlpool’s Digital Centre of Excellence leads a decentralized D2C push by embedding experts into markets to fix people process and tools problems, running a… | ||
| Break Barriers In Real-time With Data Streaming | John Kutay | 24m |
Shows a deployed Striim pipeline that uses change data capture from a single Oracle reader to feed multiple consumers with isolated checkpoints so one consumer… | ||
| How Kurtosys Ditched Its Legacy Database To Drive The Future Of Investment Management | Sunil Odedra, Sukki Sandhar | 31m |
Kurtosys migrates from per-tenant SQL Server + ETL to SingleStoreDB over seven years, moving from a cache-with-CDC sync to a single primary store that removes… | ||
| The Enterprise Guide To Building A Data Mesh | Sion Smith, Neil Avery | 23m |
Claim: a specification-driven pipeline turns domain specs into real Kafka topics, ACLs and schema registry entries so teams publish data products that are… | ||
| Build The Next Big Thing With MongoDB’s Developer Data Platform | Chris Dowling | 12m |
MongoDB’s Developer Data Platform claims to replace multiple systems by storing JSON‑like documents, serving transactions, analytics and Lucene‑based search… | ||
| Fission For Compliments – The Grass Roots Of The Sellafield Data Journey | Rich Thompson | 25m |
Sellafield repurposes a £2bn, publicly funded, 11,000‑person site with a 50,000‑person supply chain toward long‑term remediation and builds a centralized… | ||
| Comparing Streaming Data Options For Speed, Simplicity & Safety | Tristan Stevens | 24m |
Benchmarks use the OpenMessaging Benchmark on AWS i3en instances and compare Kafka and Redpanda at 50MB/s, 500MB/s and 1GB/s with TLS/SASL on. Redpanda (C++… | ||
| Taking An Authentic Approach To Digital: The Value Of Brewdog’s North Star | Tom Reding, Alex James | 30m |
BrewDog defines a North Star — “connected by beer” — to unite retail, bars, e‑commerce and grocery around community not just revenue, with a 10x… | ||
| Building Customer Centric Organizations With Purpose-driven Data Strategy | JOVITA TAM | 21m |
Argues that aligning data strategy to business purpose drives measurable outcomes, citing Kyndryl (90k staff) and transformations that tie data work to… | ||
| Executing An Effective Data Strategy: Why Automation Is No Longer A Choice | Ramesh Panakkal | 31m |
Argues that automation is essential to deliver quick wins, using WhereScape prototypes to replace Excel chaos (14-country Xerox finance example) and to… | ||
| How Machine Learning Can Achieve Data Quality Monitoring At Scale | Zach Wright | 28m |
Company demo shows Anomalo running unsupervised machine learning over a ticket sales table to detect anomalies and produce root cause analysis. A time‑series… | ||
| AI & BI & DI….oh My! | Adam Barrowcliff, Peter Denby | 26m |
Claims that AI + BI = decision intelligence and that a platform called High Affinity embeds models into workflows to turn predictions into prescriptive… | ||
| Data Driven Transformation Supporting Demand Forecasting | David Elliott | 24m |
Mayborn Group builds an end-to-end analytics platform using Alteryx for ETL and Qlik Sense plus QDI for automated data warehouse delivery, ingesting ePOS from… | ||
| Data From Space To End Users In Minutes With DataOps.Live & Data.world | Miguel Morgado, Emily Pick, Laurent Deheuvels | 25m |
OneWeb builds a data pipeline that lands satellite telemetry into Snowflake, runs DataOps.Live orchestration and tests, catalogs with data.world, and exposes… | ||
| Fireside Chat: Building The Lakehouse | Courtney Jucht, Clemence Burnichon, Helen Mannion | 44m |
Two UK businesses describe concrete outcomes: replatforming on Databricks, building a functional data mesh, and scaling a team from roughly five to ~60 people… | ||
| Data Creation: How Organizations Are Deliberately Creating Data To Power ML & Data Applications | Yali Sassoon | 27m |
Argues organizations should stop relying only on extracted sources and intentionally create data for ML and products; gives two concrete wins: an insurer buys… | ||
| CI/CD For Data – Building Data Development Environments With Open Source Stacks | Adi Polak | 26m |
Claims a git-like layer (lakeFS) over object stores that does zero-copy branching of S3/ADLS/GCS objects, hashes objects to detect changes, and uses… | ||
| Delivering Retail Analytics & Data Projects With Data Created For Purpose | Rebecca Lane, Emiel Verkade | 23m |
Claim: creating purpose-built event data with Snowplow and modeling it in dbt/SQL Runner cuts weeks of cleaning and flips work from ~80% wrangling to ~80%… | ||
| Remove Slow, Expensive ETL & Bring Data To The Data Lake For Lower Cost, More Performant Analytics | Mark Lyons, Jonny Dixon | 25m |
Claim: replace slow, costly ETL with instant CDC-fed tables in the lake to cut costs and speed analytics. Implementation uses Debezium -> Kafka -> Iceberg to… | ||
| How eMAG Accelerates Time To Insight & Leaves No Opportunities Uncovered With Dremio | Laurentiu Matei | 28m |
eMAG replaces heavy Qlik reports with Dremio as a SQL semantic layer, joining hundreds of on‑prem and cloud sources (Hadoop, S3, MySQL, SQL Server, Salesforce)… | ||
| Product Eyes – Seeing Data In A New Light To Build Valuable Products | LEXY KASSAN | 16m |
Frames data product work as a factory: traceable lineage and labeling from source to derived outputs, pipeline choices for batch or streaming processing, and… | ||
| Using A Data Strategy To Enable Your Business Goals | Jason Foster | 28m |
Asserts that organisations with a prior data strategy withstand shocks better and offers a concrete six-pillar framework (use cases, capabilities… | ||
| Data Management – The Superpower To Delivering Value From Data | Jennifer Agnes | 29m |
Argues that disciplined data management — organized as a data management sandwich with seven core capabilities — is the practical enabler of business outcomes… | ||
| Graph ML – The Next Level Of Machine Learning; Learn How To Use It And When Not To | Jörg Schad | 23m |
Claims that graphs boost fraud detection, ranking (PageRank), recommendations and chemistry by treating relationships as first‑class data and noting about 30%… | ||
| How To Make Your Data Teams More Productive With Low-code/no-code Data Integration | Ian Funnell | 29m |
Claims five concrete features to boost data team productivity: top five features are abstraction, context awareness, declarative design, deployment/lifecycle… | ||
| Why You Need A Data Strategy (And Also Why You Don’t) | Richard Pugh | 26m |
Argues that a full data strategy is often the wrong first move and recommends starting with education, ideation or small, aligned artifacts instead. Shows… | ||
| Prioritizing The Destination: Making The Data Engineering Journey Easy | Amy Dickson, Keith Bolam | 29m |
Claim: data analysts can bypass IT bottlenecks and reach insights faster by using the Avalanche Cloud Data Platform with prebuilt connectors (Salesforce, SAP… | ||
| Bringing Causal Decision-making To The Enterprise | Dr. Darko Matovski | 28m |
Enterprise AI currently fails to deliver because models learn spurious correlations: 87% of AI projects never reach production and only about 2.7% influence… | ||
| Transformation And Change: How Deloitte Is Adopting Dataiku | Elena Caric | 23m |
A 300-person audit analytics team rolls out a cloud platform centered on Dataiku, forming a dedicated platform transformation team, an analytics Centre of… | ||
| Removing Data Blindspots For A Connected Experiences Beyond Marketing | Lani Kakiet | 23m |
Claims that a CDP can remove blind spots get grounded: Treasure Data documents a pivot from a big‑data platform to a CDP in 2016 and shows a live deployment… | ||
| Overcoming The Cultural Difficulties You Face In Your Quest To Become Data Driven | Fernando Velez | 30m |
Survey data shows only 24% created data-driven org and cultural barriers deepen since 2019; cultural type analysis uses the CVF quadrants — hierarchy (rules… | ||
| See How Quest Helps Manage And Monitor Your Legacy Data You Feed Your Data Warehouse | Martin Wild | 26m |
Quest shows concrete ways to pull legacy Oracle, SQL Server, Postgres and Excel data into analytics platforms by doing an initial backup/load then applying… | ||
| Accelerating The Success Of Our Predictive Client Insights | Cristina Gil-Sevilla, Mike Renwick, Jeremy Hunt | 32m |
Schroders builds a Client Insights Unit that runs 2.5 years of experiments, publishes all outputs into a single CRM platform so every access and downstream… | ||
| Enterprise AI: How To Operationalize Data Analytics At Scale | Roman Swoszowski | 30m |
Shows two real enterprise patterns and what actually worked: an internal AI CoE that centralizes governance and vendors (reduces risk but becomes a bottleneck)… | ||
| Hands-on Workshop: How To Perform Data Quality At Scale | Albin Kjellin, Mathisse De Strooper | 28m |
Workshop shows a working pipeline: an open source Soda core Python library translates human-readable agreements into optimized SQL or Spark steps, runs on the… | ||
| Open Source Powers The Modern Data Stack | Ryan Bernstein | 29m |
Argues that open source components let teams build a tailored modern data stack and gives concrete numbers and tools: Airbyte with 200+ connectors and 9,500… | ||
| Moore’s Law And The Future Of Big Data | Behrad Babaee | 21m |
Moore’s Law shifts from CPU frequency to whole‑server transistor abundance: commodity servers now offer 448 cores per server, NVMe with massive parallelism… | ||
| Co2 Emission Efficiency Of Software Platforms: Is There A Price For Sustainability? | Behrad Babaee | 20m |
A published framework to estimate CO2 from software maps required hardware for a workload to embodied manufacturing emissions, component energy use, and grid… | ||
| Panel: Making The Most Of Data Governance | Tariq Bhatti, Sai Pavan Kumar Perumalla, Jennifer Agnes, Helen Cullis, Andy Steed | 47m |
Panel shows practical governance steps: run automated discovery (vendor example finds 400 credit card numbers in minutes) rather than manual Excel trawls, pick… | ||
| A Cat On A Horse & Actively Embracing Distributed Data Analytics | Umair Waheed | 22m |
Yellowbrick delivers the same SQL, massively parallel data warehouse deployed inside customer accounts on AWS, Azure, GCP or on‑prem, managed from a single… | ||
| Airbyte: Open Source ELT For Everyone – Level Up With Custom Connectors | Chris Sean | 24m |
Airbyte’s Connector Development Kit (CDK) demonstrates building a working source connector for the Exchange Rates Data API by running the generator, filling… | ||
| Live Build Of A Python Service That Tracks, Transforms & Delivers Sensor Data In Real Time | Tomas Neubauer | 19m |
Builds a Python streaming pipeline with Quix, Kafka, Kubernetes, Docker and Helm that reads phone IoT GPS/accelerometer data, computes a new total G‑force… | ||
| How Idealo Powers A More Reliable Data Platform With Data Observability | Lior Barak, Robin Mehlitz, Philipp Hitzler | 28m |
Idealo runs a data platform on AWS with Kafka and Flume ingestion, Presto/Athena query and Monte Carlo for observability, covering nearly 2 billion offers. The… | ||
| Scaling AI & Machine Learning Workloads With Ray on AWS, Kubernetes, & BERT | Chris Fregly | 28m |
Open source Ray on AWS and Kubernetes shows concrete configs and tools: Ray AIR for training and serving, Ray Tune for hyperparameter search, Ray Serve for… | ||
| Building Governance To Maximise AI Business Impact | Ben Montgomery | 22m |
Claims that embedding AI into 70% of business processes in five years is feasible if organizations add governance, senior buy‑in, tooling and measurable… | ||
| MLOps In Practice – How To Run Your Machine Learning Models In Production At Enterprise Scale | Bas Geerdink | 31m |
Shows a practical reference architecture: a batch training pipeline that writes versioned model artifacts to a model registry and a separate real‑time scoring… | ||
| Why Are New Technologies Required To Execute A Socially Responsible Led Investment Strategy? | Patrick Pansier, Dominic Spitz | 19m |
La Banque Postale Asset Management builds a unified ESG data hub using MarkLogic semantic data platform and a Semaphore fact‑extraction layer to harmonize MSCI… | ||
| How KFC UK & Ireland Plans To Move The Business Forward With Answers To Bigger Questions | Mick Ayling | 20m |
KFC migrates its SQL Server warehouse to Snowflake on AWS, using Matillion for ELT, Matillion Data Loader to copy tables via S3, and MicroStrategy for… | ||
| Machine Learning Ethics | Itoro Liney | 23m |
Examples show real harms and fixes: Amazon hiring model favored men and ad targeting hid executive roles from women, an A‑level algorithm penalises low‑income… | ||
| Key Considerations For Success When Deploying A Solution For Best-of-breed Observability At Scale | Andre Rocha | 14m |
ChaosSearch positions an operational data lake that keeps raw logs in customer cloud storage and reads them back as a cloud storage passive read, transforms… | ||
| Why No Model Is A Black Box | Kayne Putman | 25m |
Claim: any model can be explained using model-agnostic methods rather than declaring neural nets “black boxes.” The session demonstrates permutation… | ||
| Putting Theory Into Practice: Getting Started With Master Data In A Data Mesh | Ravi Hulasi | 27m |
Argues that mastering must come before a data mesh and shows a working pattern: a persistent ID service called by domain APIs that links divergent records… | ||
| Real-time Analytics: Going Beyond Stream Processing With Apache Pinot | Mark Needham | 31m |
Demo builds a realtime pipeline that pulls the Wikimedia RecentChanges SSE feed into Python, writes events to Apache Kafka, ingests them into a real‑time… | ||
| The Key Role Of Feature Stores In Deploying Real-time AI | Kamran Yousaf | 19m |
Real-time AI requires 50–200 ms end-to-end latency and feature stores that serve features in under 10 ms (ideally <1 ms); Redis is shown as the online store in… | ||
| Building For Fast | Ryadh Dahimene, Dale McDiarmid | 30m |
ClickHouse demonstrates concrete performance: a public GitHub-events query returns star counts in 14 milliseconds (about 60 such queries per two heartbeats)… | ||
| Building A Python Service Using Open Source Components That Connect, Transform & Deliver Data In RT | Tomas Neubauer | 26m |
Builds a real-time Python chat pipeline that measures message sentiment and filters abusive language using pre-trained model artifacts, connecting front end… | ||
| Developing, Deploying And Scaling A Global Asset Management Capability | Chris Wallace, Beth Stockham | 22m |
Aggreko builds a cloud pipeline on Azure/Databricks ingesting telematics from 10–15,000 assets to run condition‑based alarms, currently deploying about 30… | ||
| How CRU Uses Pyramid To Drive Its Analytic Solutions & Help Businesses Make Informed Decisions | Will Blake, Avi Perez | 23m |
CRU builds a carbon emissions data service that models emissions and costs for ~40 commodities and ~300 aluminum smelters, running 500 million data points… | ||
| Panel: Make The Most Of Data Science | Megan Stamper, Shorful Islam, Nicholas Deveney, Eden Smith, Michael Terrell, Richard Pugh | 32m |
Success comes from welding focused pilots to clear business metrics: incubator labs that target one well-defined problem, a simple prototype that the business… | ||
| Faster Data With Faster Java | Simon Ritter | 21m |
Azul’s Platform Prime swaps into existing Java deployments and claims to remove JVM GC pauses using the C4 concurrent compacting collector, replace JIT with… | ||
| When Real Time Meets Big Data & Analytics | Alistair Jarrett, Alexandre Vasseur | 24m |
Argues that Redis functions as a mainstream real‑time layer for big data by combining in‑memory speed with searchable documents, vectors and tiered storage… | ||
| A Quantum Leap In Fraud Detection Accuracy Using Graph-based Features | Richard Henderson | 28m |
High-performance TigerGraph deployments compute graph-derived features (distance-to-fraud, pagerank centrality, louvain community) over terabytes overnight… | ||
| Modern Analytics: One Size Does Not Fit All | Nick Jewell | 26m |
Argues that one size does not fit all for analytics by pinpointing memory, storage and data models as the unseen forces reshaping platforms; shows how columnar… | ||
| Taming The Web3 Data Zoo: Hands-on Tutorial | Surya Rastogi | 25m |
Live demo shows a reproducible Datalore notebook that queries an ERC‑721 token from Ethereum, computes the keccak256 four‑byte selector and pads the uint256… | ||
| Dashboards Are Dead: How To Democratise Data With Live Analytics (with fault) | Daniel Nazeriha, Luke Treglown | 27m |
Argues that static dashboards lose to a search-to-SQL engine that generates live queries, auto-joins and visualises cloud data, plus AI-driven anomaly and… | ||
| Turn That Data Into A Differentiator – How Analytics Can Drive Product Value | Uri Bahar | 31m |
Product teams embed Sisense Infuse into B2B apps to turn stored telemetry into actionable workflows, claiming up to 25% uplift in subscription revenue by… | ||
| Modernize Your Data Integration Architecture For Better Analytics | Adam Mayer | 32m |
Overview of a practical modernization path: Qlik positions a metadata-driven agentless log-based CDC to stream changes into Kafka, Snowflake, Databricks Delta… | ||
| Avoid Hiring Data Ninja Rockstars: How To Build Effective Data Teams | Jodie Burchell | 30m |
Argues against hiring one “data ninja” who does everything and spells out concrete role splits: data scientists do feature engineering, modeling and model… | ||
| Unbundling Data Pipelines: How Plug-and-play Will Disrupt The Data Transformation Landscape In 2023 | Asaf Cohen | 22m |
Claims a modular, plug-and-play modular toolbox that performs transformations via API-to-API transforms and a visual canvas for building pipelines, with… | ||
| Driving Data Catalog Adoption To Gain & Calculate Value | Aaron Bradshaw | 26m |
Alation’s catalog feeds an analytics store to compute a Data Catalog Value Index that converts searches, clicks, curation and executed queries into dollar… | ||
| The 6 Principles For Successful Data Governance Masterclass | Nicola Askham | 29m |
Six practical principles: start by mapping real opportunities so governance solves specific pain points and links to corporate strategy, not theory; treat data… | ||
| Meeting The Evolving Data Intelligence Expectations | Richard Adams | 26m |
Irwin by Quest claims a single platform that reverse‑engineers code via repeated scans, builds end-to-end lineage and impact analysis, and links a customizable… | ||
| Why You Don’t Need A Data Mesh: How To Democratize Your Data With Modern Master Data Management | Tim Ward | 25m |
Argues that modern Master Data Management already delivers data-mesh goals for most firms, based on three enterprise implementations (each 100k+ employees)… | ||
| Demystifying Data Protection: Steps To Find, Monitor And Control Without Chaos | Terry Ray | 31m |
Argues that data protection works by monitoring behavior and assets, not by chasing classification first or relying only on encryption; cites a 14-week exfil… | ||
| The Person Behind The Data: Real Consumer Perspectives On Data Privacy And Business Data Practices | Leah Brennan, Ketch Charles Maloney | 19m |
Ketch surveys 3,000 UK consumers and finds 67% rate data privacy very important and 77% worry about how companies obtain and use their data; 81% accept data… | ||
| How To Remove Data Siloes: Tips & Considerations | Nishant Dixit | 24m |
This describes a CDP built to collapse silos by ingesting streaming and batch sources with FluentD and Fluentbit, loading with Embulk and Digdag, and running… | ||
| Protecting Sensitive Customer Data With A Single Policy – Yes, It’s Possible | Mark Semenenko | 18m |
Claims a single ABAC single policy can protect customer data across a lakehouse by combining data tags, user attributes and context. Shows the concrete policy… | ||
| Post-Brexit GDPR Is Coming, What Will It Mean For Privacy, Innovation, Analytics & Data Science? | Sophie Stalla-Bourdillon | 20m |
Post-Brexit bill proposes five objectives to loosen UK GDPR: clarify compatibility of purposes (broader “scientific research” carve‑out), introduce “recognized… | ||
| Perfecting Our Modern Data Stack Recipe: What We Learned On The Journey At Huel | Jay Kotecha, Ricky Patel | 25m |
Huel migrates data into Snowflake, uses Stitch then Fivetran for ingestion, splits ELT: Fivetran/Clean for loads and dbt reduced table run times from hours to… | ||
| Personal Data Pseudonymization Versus Anonymization In The Age Of AI & Big Data | Tudor Galos | 29m |
Claims that naive identifier removal fails, backed by numbers: 15 attributes → 99.8% re-identification and six attributes already give ~50% chance. Concrete… | ||
| Operationalizing Data In Support Of Privacy Regulations | Julian Hicks | 29m |
BigID scans across on‑prem and cloud systems, creating a metadata index rather than copying data and using the four C's: catalog, classification, clustering… | ||
| The Journey To Data Stewardship: A Practical Framework To Future Proof Your Privacy Program | Stefan Dobrowolski, Karl Morgan | 20m |
A practical framework that moves teams from manual legal-led processes to automated consent orchestration across CRM, CDP and ad platforms using identity… | ||
| Data Governance – Unlock Data Potential Not Just Data Protection | STEPHEN ROBERTS | 21m |
Argues data governance should unlock value not just avoid fines, claiming one model delivered a £25 million yearly benefit but lost a week of rollout costing… | ||
| DataOps & Full Snowflake Automation In 1 Click | Tony Hajdari | 27m |
Demonstrates a platform that claims one-click DataOps by auto-creating Snowflake environments (ingest, transform, Data Catalog integration) from a git repo… | ||
| Modern Data Stack Is Dead. Adopt Data Mesh – From Concept To Service | Pavel Dolezal | 19m |
Claims a runnable path from concept to production using Keboola's platform as Data Mesh as a Service, tying together 110+ SaaS sources into automated… | ||
| Trends Shaping The Next Decade In Data | Gianthomas Vople | 26m |
Three mega trends — data mesh, modern data stack, and data fabric — compete as decentralisation answers; Thoughtworks’ data mesh pushes domain ownership… | ||
| Modernizing Your Data Strategy With Machine Learning & The Cloud | Suki Dhuphar, Roelof de Jong | 25m |
Accell Group uses Tamr to harmonize product and supplier master data, ingesting roughly 400,000 records and scaling to millions, training a recall-focused ML… | ||
| Master Constant Change & Drive Agility With DataOps | Giuseppe Mura | 31m |
DataOps with StreamSets operationalises data engineering so pipelines absorb schema drift and infrastructure moves rather than break. The platform uses… | ||
| Data Observability: From 1788 To 2032 | Kevin Hu | 29m |
Argues that data observability is visibility into data state using four pillars—metrics, metadata, lineage, logs—and claims Metaplane can connect data stack in… | ||
| How Graph-based Master Data Management Accelerates Data-powered Projects | Tim Ward | 24m |
Claims that 75% of MDM projects fail and that graph-based MDM removes the pain points by eliminating upfront schema work and scaling in the cloud. Uses CluedIn… | ||
| Build Your CICD Pipeline On Snowflake With Datavault Builder | Petr Beles | 27m |
Claim: Datavault Builder stores model and metadata as per-object JSON files, sorts them for line-by-line Git diffs, and uses a comparison engine to generate… | ||
| Data Governance For Data Mesh | Shinji Kim | 23m |
A playbook for mapping governance onto data mesh: use a hybrid model with central standards and domain teams owning execution, prioritize datasets by usage and… | ||
| How To Select Technology For Data Mesh | Ryan Dawson | 30m |
Positions Data Mesh as a socio-technical shift that trades centralized bottlenecks for domain teams who can onboard sources faster but must absorb distributed… | ||
| Rethinking Master Data Management With Data Mesh | Danilo Sato | 30m |
Argues that Data Mesh forces a rethink of MDM: move from centralized consolidation to a federated model where domains own data products with SLOs, linked by… | ||
| Data Mesh Streaming Patterns: A Real-time Perspective | Alok Pareek | 29m |
Describes three concrete streaming patterns—real-time data integration, data-as-products-in-the-pipeline, and reverse ETL—and the practical pieces required to… | ||
| How Integration & Api Creation & Life Cycles Are Critical To Your Data Mesh Strategy | Guy Murphy | 25m |
Argues that SnapLogic fills gaps in data mesh by putting an API manager at the heart of a federated data-as-a-service model, supporting ELT/ETL, application… | ||
| The Road To Data Mesh: BlaBlaCar’s 3-year Journey To Self-serve Data Analytics | Kineret Kimhi | 31m |
BlaBlaCar spends three years moving from a central warehouse to a domain-oriented data mesh, pairing domain teams with a foundations team and using Monte Carlo… | ||
| Methods & Tools For Time Series Data Science Problems With InfluxDB | Jay Alexander Clifford | 30m |
Shows a working pipeline that uses the Telegraf execd processor to micro‑batch sensor lines, call a Python script using statsmodels implementing double… | ||
| Thriving & Winning – Beyond Knowing The Why Of Data Management: | Abel Aboh | 25m |
Claims that 65–85% failure rate for data projects is real and argues failure stems from habits not tech. Lays out concrete habits to build: team, change… | ||
| Measuring Efficiency & Collaboration With Knowledge Reuse | Teresa Dietrich | 28m |
Introduces knowledge reuse as a measurable metric: count knowledge-view events in a session where no new question is asked, then normalize per user and compare… | ||
| Admiral’s Automation Journey To The Cloud With Wherescape | Josh Britton, Sarah Bradbeer, Christian Faber, Richard Panniers | 24m |
Admiral describes a hybrid GCP migration that keeps a Wherescape-driven metadata layer and uses gsutil/gcloud to push zipped flat files into BigQuery while the… | ||
| Data-Driven Culture As The Secret To Growth & Innovation | Aamar Hussain, Stuart Haslam | 29m |
Argues that data fuels growth and that culture and trust matter more than tech, then shows a Co-op rollout: a unified Azure platform ingesting a 14 TB Teradata… | ||
| Maturing The Snowflake Data Cloud At London Stock Exchange | Andrew Carruthers, Andy McCann | 23m |
London Stock Exchange Group consolidates two Snowflake accounts (one built, one acquired) into a repeatable Snowflake Landing Zone that standardizes… | ||
| Penguin Random House - Our Story: An Evolving Modern Data Stack With Snowflake | Sami Rahman, Varun Khandenwal | 21m |
Penguin Random House moves 37 TB from on‑prem to Snowflake and shuts off physical servers after a three‑month migration, cutting the infrastructure team burden… | ||
| Use Cases For Data OS | Nick Golovin | 26m |
Data OS is presented as a platform (Data Virtuality) that hides heterogenous sources behind Advanced Data Virtualization and a single SQL interface so users… | ||
| How Graph Data Science Can Turbocharge Your Knowledge Graph | Kristof Neys | 30m |
Defines a practical pipeline: load data into Neo4j, run 65+ algorithms (PageRank, centrality, community detection), produce node vectors with node2vec… | ||
| Transforming Your Data Into A Strategic Asset | Wasim Ahmad, Paolo Colecchia, Nick Sharp | 25m |
Claims that Azure’s Intelligent Platform plus Databricks and Synapse turn scattered data into a managed asset, using Delta Lake on Azure Data Lake with… | ||
| Data Everywhere: How Big Tech Is Digitally Transforming The Trust Model | Sarah Armstrong-Smith | 28m |
Microsoft claims it processes 43 trillion telemetry signals per day and runs 220+ data centers while offering GitHub to ~75 million developers; it deploys… | ||
| Developing Innovative Systems Through Responsible AI In Healthcare | Pablo Casaubon, Dr. Jutsin Green, Philip Jarratt, Caio Moreno | 24m |
An AI system predicts surgical complication risk for hip and knee patients using Azure Machine Learning trained on a Northumbria dataset with 220 features… | ||
| Lessons From The First Year Of Data Mesh In The RAF | George Carter | 31m |
The RAF runs a six‑month data transformation called Project Wyvern, building federated domain teams, supplying tools and training while keeping a central… | ||
| Data Lineage: A Key Building Block For A Successful Data Governance Strategy | Jan Ulrych | 27m |
Claims that automated lineage is essential to governance and that MANTA can harvest it from code, giving attribute-level lineage with high coverage and… | ||
| Dashboards Are Dead: How To Democratise Data With Live Analytics | Daniel Nazeriha, Luke Treglown | 27m |
Claim: dashboards are dead and static reports get replaced by a search-driven Live Analytics layer that generates SQL on the fly and surfaces AI-driven… | ||
| The Data Product ABCs | Tim Gasper, Juan Sequeda | 27m |
Defines a data product by concrete rules: named owner roles (product domain, technical steward, business steward), a drawn boundary (table/API/S3 in a cloud… | ||
| You’ve Got To Pivot Your Career, Just Like Your Products: How I Got Into Data | Chanade Hemming | 25m |
Builds a product management function from zero to one for advanced analytics and data science, migrating to Google Cloud platform, assembling an in‑house team… | ||
| What’s Your Inner Compass – Are You Using It To Guide You To Where You Want To Go? | Kinnari Ladha | 26m |
Chief data officer at IG loyalty traces a practical formula—ambition, passion, courage, self‑belief—and gives concrete wins: builds a team that doubled in a… | ||
| But Why? The Storybook Of Learning The Importance Of Asking Questions. | Taisiya Merkulova | 28m |
Argues that asking “why” repeatedly changes outcomes, with concrete failures: a mathematically elegant attribution model and layered dashboards are delivered… | ||
| Fairytale Lessons & How They Apply To Your Career | ROBIN SUTARA | 25m |
Career story maps to actionable lessons: starts in the US Army repairing Apache helicopter weapons and joined Army to work on Apache helicopter heads-up… | ||
| Let’s Talk About Data Strategy | TINA DIAMOND, Cecil Wilson, Jon Regan, Alan Linter | 29m |
Thames Water builds a product-led data factory on Azure: small agile teams deliver MVP apps that predict leaks and blockages, shown in regular show‑and‑tells… | ||
| MLOps Transformation | Maria Vechtomova, Basak Eskili | 19m |
Ahold Delhaize runs a per-project ML maturity assessment and moves brands from Level 0–2 toward Level 3 by enforcing four MLOps standards—documentation, code… | ||
| nothing matches | ||