Intelligent Business Strategies

Featured Content

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Simplifying Data Connectivity in a Data-Driven Enterprise

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Trends in Establishing a Data Driven Enterprise

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

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

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IoT Analytics Architecture

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Challenges of Migrating your Data Warehouse to the Cloud

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Industrialising Data and AI for The Real-time Enterprise

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IoT Analytics Architecture

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Active Intelligence for Smart Business

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

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

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Accelerating Data Science Using Machine Learning Automation

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Reducing ETL Costs and Integrating Analytical Workloads in Hyperscale Data Warehousing

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The Value of Data Fabric in a Data-Driven Enterprise

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The Enterprise Data Refinery

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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

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Shortening Time to Value by Building Data Products in a Lakehouse

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

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

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Asset Performance for Smart Manufacturing

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

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

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Edge Advanced Analytics

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

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The Impact of Big Data on ETL

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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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The Value of Data Virtualisation in a Data Mesh

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Data Science Workbenches & Machine Learning Automation

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

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Conquering Data Complexity – Using Smart Data Management

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Architecting a Big Data Platform for Analytics

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

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The Challenge of Big Data

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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Eight Steps to Deploying an Enterprise Portal – Part Six

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Governing Data across a Distributed Data Estate

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Unified Data Integration in a Distributed Data Landscape

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

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Data Virtualisation – Flexible Technology for the Agile Enterprise

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The Business Value of Kubernetes in an Analytical Environment

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

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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

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Enabling a Customer Data Platform Using Data Virtualisation

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

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An Analytical Platform for the Smart Enterprise

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Building a Modern Data Warehouse on a Distributed Data Cloud

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

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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

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

Data Management

Data Management

BI / ML / AI

BI / ML / AI

Big Data

Big Data

Intelligent Business

Intelligent Business

Conferences

Big Data & Analytics International Conference 2014

When:  4-5 December, 2014
Where:  Rome, Italy
Speakers:  Vladimir Bacvanski, Mike Ferguson, Rick van der Lans, Bernard Marr

This Conference is aimed at how to use Big Data for competitive advantage. It looks at popular Big Data use cases, Hadoop deep dive, Streaming Analytics.

For more information please click here

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