Intelligent Business Strategies

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Shortening Time to Value by Building Data Products in a Lakehouse

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Challenges of Migrating your Data Warehouse to the Cloud

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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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Conquering Data Complexity – Using Smart Data Management

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The Challenge of Big Data

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

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Simplifying Data Connectivity in a Data-Driven Enterprise

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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Embedded Analytics, Intelligent Apps & AI Automation (22 November 2023, Stockholm)

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The Value of Data Virtualisation in a Data Mesh

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

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Embedded Analytics, Intelligent Apps & AI Automation (8 + 9 November 2023, Live Streaming Event)

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Data Science Workbenches & Machine Learning Automation

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

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Governing Data across a Distributed Data Estate

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

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The Business Value of Master Data

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How To Govern Data Across A Distributed Data Landscape (14-15 November 2023, Amsterdam)

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Practical Guidelines For Implementing A Data Mesh (9-10 October 2023, Helsinki)

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

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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The Business Value of Kubernetes in an Analytical Environment

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Data Catalogs – Governing & Provisioning Data in a Data Driven Enterprise (6 December 2023, Live Streaming Event)

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Asset Performance for Smart Manufacturing

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Architecting a Big Data Platform for Analytics

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Industrialising Data and AI for The Real-time Enterprise

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Eight Steps to Deploying an Enterprise Portal – Part Six

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

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Data Virtualisation – Flexible Technology for the Agile Enterprise

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Trends in Establishing a Data Driven Enterprise

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Accelerating Data Science Using Machine Learning Automation

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IoT Analytics Architecture

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

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

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Building a Modern Data Warehouse on a Distributed Data Cloud

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Practical Guidelines For Implementing A Data Mesh (20-21 November 2023, Stockholm)

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Data Warehouse Modernisation (4-5 December 2023, Live Streaming Event)

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An Analytical Platform for the Smart Enterprise

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Practical Guidelines For Implementing A Data Mesh (30-31 October 2023, Live Streaming Event)

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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How To Govern Data Across A Distributed Data Landscape (11-12 October 2023, Helsinki)

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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

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IoT Analytics Architecture

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Building A Competitive Data Strategy For A Data-Driven Enterprise (24 November 2023, Live Streaming Event)

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Data Warehouse Modernisation (16-17 November 2023, Brussels)

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The Impact of Big Data on ETL

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Edge Advanced Analytics

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The Value of Data Fabric in a Data-Driven Enterprise

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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Unified Data Integration in a Distributed Data Landscape

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Enabling a Customer Data Platform Using Data Virtualisation

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Active Intelligence for Smart Business

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Are Data Catalogs Important in a Data Driven Enterprise?

Data Management

Data Management

BI/Analytics

BI/Analytics

Big Data

Big Data

Intelligent Business

Intelligent Business

Videos

Business-driven Master Data Management (Ellie Technologies)

Mike Ferguson, Intelligent Business Strategies and Juha Korpela, Ellie Technologies, discuss Business-driven Master Data Management

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