International Data, BI & Analytics Conference: Building the Data Driven Smart Enterprise

Posted by Amanda Dascalakis | February 10, 2017 | conferences

22-23 June, 2017 – Rome Mike Ferguson will be chairing and speaking at this conference. The Conference aims to provide an update on Data, BI & Analytics and how it fits together and how you can use it to maximize business value. It tries to show the latest advances in technology to help improve your understanding […]

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MDM & DG Conference Europe 2017

Posted by Amanda Dascalakis | February 10, 2017 | conferences

15-18 May, 2017 – London Europe’s Only Co-Located Conferences on MDM & Data Governance. One event, in one to four days, gives you the unique opportunity to leverage the powerful combination of MDM and Data Governance to deliver optimal business outcomes through trusted information. Delegates can attend sessions at both conferences. Mike Ferguson will be […]

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TDWI Chicago 2017 – Analytics, Big Data, Data Science, Data Management

Posted by Amanda Dascalakis | March 7, 2017 | conferences

7-12 May, 2017 – Chicago TDWI Chicago focuses on the challenges and opportunities facing today’s data-driven organizations. Enhance your skills and insights with 55+ sessions taught by the expert TDWI faculty. Half- and full- day courses give you deep education and insights you can put to you use immediately, on the topics you care about: […]

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Enterprise Data World

Posted by Amanda Dascalakis | February 7, 2017 | conferences

The 21st Annual Enterprise Data World (EDW) Conference is recognised as the most comprehensive educational conference on data management in the world. Mike Ferguson will be giving the following: Integrating Fast Data & Real-Time Analytics into the Enterprise (presentation) Designing, Managing & Operating a Distributed Data Lake (1 day seminar) What to Expect at EDW 2017: Accelerating […]

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International Big Data Conference 2016

Posted by Amanda Dascalakis | June 24, 2016 | conferences

Big Data analytics has without doubt become mainstream in 2016. Companies are initiating data science projects on Big Data platforms, offloading ETL processing to Hadoop, and archiving to Hadoop. Also more capability being put in the hands of business analysts and data scientists using self-service tools for data preparation, analytics or both. Apache Spark has […]

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