Intelligent Business Strategies

Featured Content

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The Enterprise Data Refinery

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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

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Shortening Time to Value by Building Data Products in a Lakehouse

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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IoT Analytics Architecture

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Data Science Workbenches & Machine Learning Automation

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Architecting a Big Data Platform for Analytics

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Trends in Establishing a Data Driven Enterprise

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Simplifying Data Connectivity in a Data-Driven Enterprise

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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

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Challenges of Migrating your Data Warehouse to the Cloud

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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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IoT Analytics Architecture

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Industrialising Data and AI for The Real-time Enterprise

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Building a Modern Data Warehouse on a Distributed Data Cloud

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Reducing ETL Costs and Integrating Analytical Workloads in Hyperscale Data Warehousing

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The Impact of Big Data on ETL

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Are Data Catalogs Important in a Data Driven Enterprise?

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Active Intelligence for Smart Business

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The Value of Data Virtualisation in a Data Mesh

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

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Interactive Data Exploration with an In-Memory Analytics Engine

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Asset Performance for Smart Manufacturing

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Conquering Data Complexity – Using Smart Data Management

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

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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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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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Data Virtualisation – Flexible Technology for the Agile 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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Smart Infrastructure & Smart Applications for the Smart Business – Infrastructure & Application Performance Monitoring

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

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The Value of Data Fabric in a Data-Driven Enterprise

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Accelerating Data Science Using Machine Learning Automation

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Edge Advanced Analytics

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Eight Steps to Deploying an Enterprise Portal – Part Six

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Enabling a Customer Data Platform Using Data Virtualisation

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The Challenge of Big Data

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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

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

Data Management

Data Management

BI / ML / AI

BI / ML / AI

Big Data

Big Data

Intelligent Business

Intelligent Business

Conferences

Hadoop Summit Dublin 2016

The leading conference for the Hadoop Community.

Hadoop Summit Europe 2016 will feature two full days of content and 7 tracks dedicated to enabling the next generation data platform. Industry experts, business leaders, architects, data scientists and Hadoop developers will share use cases and success stories, best practices, cautionary tales and technology insights.

Tracks are divided into 7 key topic areas, which will cover:

Apache Committer Insights

Data Science Applications for Hadoop

Hadoop Governance, Security, Deployment and Operations

Hadoop Application Development: Dev Languages, Scripting, SQL and NoSQL

Applications of Hadoop and the Data-Driven Business

The Future of Apache Hadoop

Hadoop and the Internet of Things

Mike Ferguson’s presentation comes under the Hadoop Governance, Security, Deployment and Operations Track:

Organising the Data Lake – Information Governance in a Big Data World

 

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