Intelligent Business Strategies

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

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Data Mesh: Practical Guidelines for Implementation (14-15 May 2024, Stockholm)

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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

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Governing Data across a Distributed Data Estate

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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The Impact of Big Data on ETL

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

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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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Enabling a Customer Data Platform Using Data Virtualisation

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

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Reducing ETL Costs and Integrating Analytical Workloads in Hyperscale Data Warehousing

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Accelerating Data Science Using 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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Accelerating Workload Migration to the Cloud using Data Virtualisation

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Are Data Catalogs Important in a Data Driven Enterprise?

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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The Challenge of Big Data

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Interactive Data Exploration with an In-Memory Analytics Engine

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Active Intelligence for Smart Business

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

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

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

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Data Science Workbenches & Machine Learning Automation

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Data Catalogs – Governing & Provisioning Data in a Data Driven Enterprise (16 May 2024, Amsterdam)

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

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The Enterprise Data Refinery

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

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Simplifying Data Connectivity in a Data-Driven Enterprise

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Shortening Time to Value by Building Data Products in a Lakehouse

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The Value of Data Fabric in a Data-Driven Enterprise

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Asset Performance for Smart Manufacturing

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Building a Competitive Data Strategy for a Data Driven Enterprise (17 May 2024, Live Streaming Training)

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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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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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Edge Advanced Analytics

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Architecting a Big Data Platform for Analytics

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Eight Steps to Deploying an Enterprise Portal – Part Six

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Data Catalogs – Governing & Provisioning Data in a Data Driven Enterprise (7 June 2024, Live Streaming Training)

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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IoT Analytics Architecture

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IoT Analytics Architecture

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An Analytical Platform for the Smart Enterprise

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Industrialising Data and AI for The Real-time Enterprise

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Trends in Establishing a Data Driven Enterprise

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Data Virtualisation – Flexible Technology for the Agile Enterprise

Data Management

Data Management

BI / ML / AI

BI / ML / AI

Big Data

Big Data

Intelligent Business

Intelligent Business

News & Resources / Videos

Modern Data Architecture Series – Data Integration (Big Data LDN Digital)

Posted by Amanda Dascalakis | June 24, 2020 | Videos

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Modern Data Architecture Series – Data Warehousing (Big Data LDN Digital)

Posted by Amanda Dascalakis | June 24, 2020 | Videos

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Modern Data Architecture Series: Data Visualisation (Big Data LDN Digital)

Posted by Amanda Dascalakis | June 24, 2020 | Videos

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Building A Modern Data Architecture For The Data Driven Enterprise (Big Data LDN 2019)

Posted by Amanda Dascalakis | March 18, 2020 | Videos

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Achieving Governance, Agility and Reduced Time to Value In An Increasingly Complex Data Landscape (Big Data LDN Meetup)

Posted by Amanda Dascalakis | June 7, 2019 | Videos

In most organisations, the demand to analyse data continues to grow exponentially. New data from many new data sources are now being captured and new types of data stores are being created on multiple clouds as well as on-premise data centres. The result is that the data landscape is becoming increasingly more complex, making it […]

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