Intelligent Business Strategies

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

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

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

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The Enterprise Data Refinery

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Data Science Workbenches & Machine Learning Automation

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Accelerating Data Science Using Machine Learning Automation

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Eight Steps to Deploying an Enterprise Portal – Part Six

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

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Edge Advanced Analytics

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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

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

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The Challenge of Big Data

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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

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The Business Value of Kubernetes in an Analytical Environment

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The Value of Data Virtualisation in a Data Mesh

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

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Unified Data Integration in a Distributed Data Landscape

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

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

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The Impact of Big Data on ETL

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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 (25-26 March 2025, Cologne)

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Challenges of Migrating your Data Warehouse to the Cloud

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

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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IoT Analytics Architecture

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

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Architecting a Big Data Platform for Analytics

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

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An Analytical Platform for the Smart Enterprise

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Governing Data across a Distributed Data Estate

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

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Simplifying Data Connectivity in a Data-Driven Enterprise

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Data Virtualisation – Flexible Technology for the Agile Enterprise

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

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

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Conquering Data Complexity – Using Smart Data Management

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Building a Modern Data Warehouse on a Distributed Data Cloud

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IoT Analytics Architecture

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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The Business Value of Master Data

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Active Intelligence for Smart Business

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

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The Value of Data Fabric in a Data-Driven Enterprise

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Industrialising Data and AI for The Real-time Enterprise

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Asset Performance for Smart Manufacturing

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Shortening Time to Value by Building Data Products in a Lakehouse

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Reducing ETL Costs and Integrating Analytical Workloads in Hyperscale Data Warehousing

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Interactive Data Exploration with an In-Memory Analytics Engine

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Are Data Catalogs Important in a Data Driven Enterprise?

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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Trends in Establishing a Data Driven Enterprise

Data Management

Data Management

BI / ML / AI

BI / ML / AI

Big Data

Big Data

Intelligent Business

Intelligent Business

Key Trends in Data Management and Analytics in 2025

Posted in: Blog

The following trends were originally presented by me at Big Data LDN in September 2024 and have since updated slightly for 2025. These trends are not in any specific order or priority.

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