Intelligent Business Strategies

Featured Content

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Data Mesh: Practical Guidelines for Implementation (15-16 October 2024, Amsterdam)

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Building a Modern Data Warehouse on a Distributed Data Cloud

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Data Intelligence – Curating Business Ready Data and Analytics in a Data Driven Enterprise

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Industrialising Data and AI for The Real-time Enterprise

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Data Catalogs: Governing & Provisioning Data in a Data Driven Enterprise (12 December 2024, Italy Livestream Training)

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Self-Service Data Integration, Data Discovery & Analysis for the Citizen Data Scientist

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Conquering Data Complexity – Using Smart Data Management

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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Modern Data Architecture (17-18 October 2024 Stockholm)

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The Impact of Big Data on ETL

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Data Warehouse Automation & Real-time Data – Reducing Time to Value in a Distributed Analytical Environment

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Trends in Establishing a Data Driven Enterprise

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Streaming Analytics & Embedded BI – the Route to Always On Smart Business Operations

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Interactive Data Exploration with an In-Memory Analytics Engine

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Active Intelligence for Smart Business

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Data Fabric, Data Mesh or Both – What is Best for Your Organisation?

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Enabling a Customer Data Platform Using Data Virtualisation

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Data Strategy: Building The Foundation of a Data-Driven Enterprise (13-14 November 2024, Italy Livestream Training)

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Governing Data across a Distributed Data Estate

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Building a Competitive Data Strategy for a Data Driven Enterprise (26 November 2024, Amsterdam)

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The Business Value of Kubernetes in an Analytical Environment

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Smart Infrastructure & Smart Applications for the Smart Business – Infrastructure & Application Performance Monitoring

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Modern Data Architecture (10-11 December 2024, Italy Livestream Training)

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Practical Guidelines for Implementing a Data Mesh (5-6 November 2024, UK Livestream Training)

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The Enterprise Data Refinery

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Data Observability – What Is It and Why Should You Care?

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Asset Performance for Smart Manufacturing

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Reducing ETL Costs and Integrating Analytical Workloads in Hyperscale Data Warehousing

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Are Data Catalogs Important in a Data Driven Enterprise?

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Edge Advanced Analytics

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Unified Data Integration in a Distributed Data Landscape

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Shortening Time to Value by Building Data Products in a Lakehouse

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Data Science Workbenches & Machine Learning Automation

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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The Value of Data Fabric in a Data-Driven Enterprise

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Embedded Analytics, Intelligent Apps & AI Automation (8 November 2024, UK Livestream Training)

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Maximising the Value of Your BI and Machine Learning Models in a Data-Driven Enterprise

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A Practical Guide to Implementing a Data Mesh (11-12 November 2024, Italy Livestream Training)

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Accelerating Data Science Using Machine Learning Automation

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The Challenge of Big Data

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Scalable, In-Memory SQL on Hadoop – Why Open Source is Not the Only Option

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Data Catalogs – Governing & Provisioning Data in a Data Driven Enterprise (16 October 2024, Stockholm)

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An Analytical Platform for the Smart Enterprise

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The Business Value of Master Data

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Eight Steps to Deploying an Enterprise Portal – Part Six

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Embedded Analytics, Intelligent Apps & AI Automation (27 November 2024, Amsterdam)

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Simplifying Data Connectivity in a Data-Driven Enterprise

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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Data Virtualisation – Flexible Technology for the Agile Enterprise

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IoT Analytics Architecture

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IoT Analytics Architecture

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The Value of Data Virtualisation in a Data Mesh

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Architecting a Big Data Platform for Analytics

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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Challenges of Migrating your Data Warehouse to the Cloud

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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Organising the Data Lake – The Central Role of an Information Catalog

Data Management

Data Management

BI / ML / AI

BI / ML / AI

Big Data

Big Data

Intelligent Business

Intelligent Business

Videos

The Great Data Debate 2021 (Big Data LDN)

The Great Data Debate at Big Data LDN is where conference chairman and industry analyst Mike Ferguson hosted executives from industry leading software vendors to discuss challenges, trends and success factors in implementing data and analytics. This year the debate covered how the pandemic has changed business priorities in data and analytics, how to create a successful data culture, support multiple data architectures and speed up deployment of data and analytics in a data driven enterprise

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