Intelligent Business Strategies

Featured Content

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Conquering Data Complexity – Using Smart Data Management

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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An Analytical Platform for the Smart Enterprise

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Data Virtualisation – Flexible Technology for the Agile Enterprise

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Governing Data across a Distributed Data Estate

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The Enterprise Data Refinery

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

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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The Business Value of Kubernetes in an Analytical Environment

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Data Science Workbenches & Machine Learning Automation

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Trends in Establishing a Data Driven Enterprise

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

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

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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Asset Performance for Smart Manufacturing

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IoT Analytics Architecture

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

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Interactive Data Exploration with an In-Memory Analytics Engine

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

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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

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Edge Advanced Analytics

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

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Industrialising Data and AI for The Real-time Enterprise

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

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

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Shortening Time to Value by Building Data Products in a Lakehouse

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

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

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The Impact of Big Data on ETL

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The Challenge of Big Data

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Active Intelligence for Smart Business

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IoT Analytics Architecture

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Are Data Catalogs Important in a Data Driven Enterprise?

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Eight Steps to Deploying an Enterprise Portal – Part Six

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Accelerating Data Science Using Machine Learning Automation

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Simplifying Data Connectivity in a Data-Driven Enterprise

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The Value of Data Fabric in a 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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The Value of Data Virtualisation in a Data Mesh

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

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Building a Modern Data Warehouse on a Distributed Data Cloud

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

Data Management

Data Management

BI / ML / AI

BI / ML / AI

Big Data

Big Data

Intelligent Business

Intelligent Business

Webinars

Automation – Increasing Agility and Reducing Time to Value of your Enterprise Analytics

attunity-webinar

Live webinar with ibslogo2015

Automation – Increasing Agility and Reducing Time to Value of your Enterprise Analytics

With Mike Ferguson, Intelligent Business Strategies and Ted Orme, Attunity

Wednesday 21 September 2016 – 10am BST | 11am CEST

The modern distributed landscape is becoming increasingly complex. At the same time, enterprises’ thirst for new data, agility and more complex analytics is also intensifying.

In this webinar we’ll look at how enterprises can remain agile and reduce time to value by extending the use of data warehouse automation (DWA) tools to work in a more complex big data analytical environment.

We’ll look specifically at:

  • Traditional analytical systems
  • How companies can leverage automation to deal with the challenge and complexity of a data warehouse landscape
  • How to exploit lower cost, scalable computing platforms, like Hadoop and cloud storage, needed in big data analytics
  • How to enable agility and reduce time to value with data warehouse automation solution Attunity Compose
  • How to leverage Attunity in new big data and traditional analytical environments

There’ll also be a live Q & A with Mike and Ted.

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Can’t make the live webinar? Register anyway to receive a recording!

edbi2016  See Mike Ferguson live in action at the Enterprise Data & BI Conference Europe on 7-10 November in London. There will also be the opportunity to meet Attunity and get your free demo of Compose.

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