Pluralsight – Big Data LDN A GDPR Retrospective

Pluralsight – Big Data LDN A GDPR Retrospective-NOLEDGE
English | Size: 120.09 MB
Category: Tutorial


Big Data LDN 2019 | A GDPR Retrospective: Implementation by a Large-scale Data Organization in Reality | Morri Feldman The date May 25, 2018 was a fateful day for many companies that process and store client data, particularly across the EU. On this day, GDPR went into effect and no one really knew quite what its effects would be. This talk will take you through our company’s journey to compliance – the indexers we used to append & delete client data, and a retrospective of how this affected our data processing operations. This will walk you through the design through implementation, as well as expectation vs. real demand. Eventually, what we imagined would be requested by hundreds of clients at best ended up being requested by tens of thousands and growing. Learning how to manage this new compliance demand alongside our day to day data engineering tasks and processes was no easy feat

Pluralsight – Real Time Personalised Customer Interaction At Scale

Pluralsight – Real Time Personalised Customer Interaction At Scale-NOLEDGE
English | Size: 100.28 MB
Category: Tutorial


Big Data LDN 2019 | Real-time Personalised Customer Interaction at Scale | Rares Rusu and Alexandru Objelean How do you build a customer
interaction platform that is agile enough to respond to constantly changing requirements and still able to perform at scale? This is the challenge the Customer Interaction team set out to solve at Paddy Power Betfair. You will learn how they rebuilt their promotional platform moving from one based on a closed slow relational database to a high performance agile platform that integrates promotions from 3rd parties. You will see how this transformation has enabled marketing to continuously innovate and apply timely, relevant personalized offers to hundreds of thousands of customers across two brands, even during massive spikes in traffic

Pluralsight – Modernise Your It Infrastructure For AU

Pluralsight – Modernise Your It Infrastructure For Ai-NOLEDGE
English | Size: 80.45 MB
Category: Tutorial


Notes: Big Data LDN 2019 | Modernise Your IT Infrastructure for AI | Brian Carpenter
In this session, learn about the latest best practices for designing end-to-end AI platforms for your data science teams. You can seamlessly fit AI projects into a unified analytics plan with the right infrastructure built for scaling Brian Carpenter will map out how Pure Storage can support your overall AI strategy by walking through an example AI data hub microservices deployment

Pluralsight – Dataops For Ai And Digital Transformation

Pluralsight – Dataops For Ai And Digital Transformation-NOLEDGE
English | Size: 107.36 MB
Category: Tutorial


Notes: Big Data LDN 2019 | DataOps for AI and Digital Transformation | Jay Limburn
Organizations are under competitive disruptive, and regulatory pressures Leveraging data and AI at the speed of business is the biggest differentiator. However, 81% of organizations don’t understand their data provides little to no value. For those aiming to succeed in digital transformation and AI, DataOps is essential to get to business-ready data providing automated, curated, and trusted data pipeline between data providers and data consumers. That means a scalable, agile, and faster path to achieving business objectives In this session, IBM presents DataOps methodology with demonstrations to help you maximize your people, process and technology to accelerate journey to AI and digital transformation

Pluralsight – How To Orchestrate Your Ml Pipelines In Hybrid Cloud

Pluralsight – How To Orchestrate Your Ml Pipelines In Hybrid Cloud-NOLEDGE
English | Size: 107.70 MB
Category: TUtoiral


Notes: Big Data LDN 2019 | How to Orchestrate Your ML Pipelines in Hybrid Cloud | David Sabater Dinter This talk shows how to integrate Airflow, Tensorflow Extended, and Kubeflow Pipelines to create a production ready Machine Learning pipeline in hybrid cloud David Sabater Dinter will introduce these open source frameworks and run a demo in Google Cloud Platform to show how powerful these frameworks are together for hybrid cloud solutions