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Creating Data Products in a Data Mesh, Data Lake or Lakehouse for Use in Analytics (9-10 June 2022, Stockholm)

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Simplifying Data Connectivity in a Data-Driven Enterprise

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Data Science Workbenches & Machine Learning Automation

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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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Active Intelligence for Smart Business

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

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An Analytical Platform for the Smart Enterprise

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Machine Learning and Advanced Analytics (23-24 June 2022, Live Streaming Event)

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

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

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Eight Steps to Deploying an Enterprise Portal – Part Six

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Edge Advanced Analytics

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IoT Analytics Architecture

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The Challenge of Big Data

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

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

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Interactive Data Exploration with an In-Memory Analytics Engine

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The Business Value of Master Data

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

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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Architecting a Big Data Platform for Analytics

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Unified Data Integration in a Distributed Data Landscape

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The Business Value of Kubernetes in an Analytical Environment

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Enabling a Customer Data Platform Using Data Virtualisation

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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The Value of Data Virtualisation in a Data Mesh

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Asset Performance for Smart Manufacturing

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IoT Analytics Architecture

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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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Conquering Data Complexity – Using Smart Data Management

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Big Data Architecture and Technology for Analytics (8 June 2022, Stockholm)

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Accelerating Data Science Using Machine Learning Automation

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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Building a Modern Data Warehouse on a Distributed Data Cloud

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

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    Offloading & Accelerating Data Warehouse ETL Processing Using Hadoop

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    Architecting a Big Data Platform for Analytics

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