Intelligent Business Strategies

Featured Content

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Data Virtualisation – Flexible Technology for the Agile Enterprise

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Edge Advanced Analytics

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

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The Value of Data Fabric in a Data-Driven Enterprise

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

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An Analytical Platform for the Smart Enterprise

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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The Challenge of Big Data

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Building a Modern Data Warehouse on a Distributed Data Cloud

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AI-Assisted Active Data Governance (19-20 June 2025, Italy Livestream Training)

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Are Data Catalogs Important in a Data Driven Enterprise?

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The Enterprise Data Refinery

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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The Impact of Big Data on ETL

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Simplifying Data Connectivity in a Data-Driven Enterprise

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The Value of Data Virtualisation in a Data Mesh

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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IoT Analytics Architecture

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Industrialising Data and AI for The Real-time Enterprise

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

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

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Practical Guidelines for Implementing Data Products (10-11 April 2025, Helsinki)

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Practical Guidelines for Implementing Data Products (3-4 April 2025, Stockholm)

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

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Trends in Establishing a Data Driven Enterprise

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The Business Value of Kubernetes in an Analytical Environment

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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Data Science Workbenches & Machine Learning Automation

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

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Modern Data Architecture (5-6 May 2025, Amsterdam)

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

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Building a Data & AI Strategy for a Data-Driven Enterprise (7-8 April, Italy Livestream Training)

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Architecting a Big Data Platform for Analytics

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IoT Analytics Architecture

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Shortening Time to Value by Building Data Products in a Lakehouse

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Conquering Data Complexity – Using Smart Data Management

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

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Governing Data across a Distributed Data Estate

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Asset Performance for Smart Manufacturing

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Accelerating Data Science Using Machine Learning Automation

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

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AI-Assisted Active Data Governance (12-13 June 2025, Amsterdam)

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Eight Steps to Deploying an Enterprise Portal – Part Six

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Practical Guidelines for Implementing Data Products (8-9 May 2025, Italy Livestream Training)

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Enabling a Customer Data Platform Using Data Virtualisation

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Embedded Analytics, Intelligent Apps, AI Agents & AI Automation (19-20 May 2025, Italy Livestream Training)

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Reducing ETL Costs and Integrating Analytical Workloads in Hyperscale Data Warehousing

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Challenges of Migrating your Data Warehouse to the Cloud

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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Active Intelligence for Smart Business

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Interactive Data Exploration with an In-Memory Analytics Engine

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Unified Data Integration in a Distributed Data Landscape

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

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The Business Value of Master Data

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Modern Data Architecture (16-17 June 2025, Italy, Live Streaming)

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Practical Guidelines for Implementing Data Products (25-26 March 2025, Cologne)

Data Management

Data Management

BI / ML / AI

BI / ML / AI

Big Data

Big Data

Intelligent Business

Intelligent Business

Conferences

Enterprise Data World 2015

The 19th annual Enterprise Data World (EDW) Conference is recognised as the most comprehensive educational conference on data management in the world.

Mike Ferguson will be giving 2 half day presentations:

Building An Enterprise Data Reservoir and Data Refinery

Master Data Management – The Impact of Big Data

 

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