NZ$1,209.56 – NZ$2,137.07

Difinity Conference 2018

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Langham Hotel Auckland

83 Symonds St

Grafton, Auckland 1010

New Zealand

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Event description


What is Difinity?

Difinity is largest Microsoft Data Platform, Business Intelligence, and Analytics Conference in New Zealand. IT Decision Makers, Developers, Analysts, IT Professionals, Database Administrators, Architects, and Consultants will gather for three consecutive days of learning.


3 Days Conference

Difinity is a 3 days conference. The first day is full day workshop and the next 2 days we have 50+ sessions.

Who will Speak

We have 40+ Speakers; 10+ Microsoft speakers, 20+ Microsoft data platform MVPs , MCMs MCA from US, UK, Australia, Asia, Europe, and New Zealand.

One-day Full Workshop on 12th Feb 2018

This year we will have 10 pre-conference workshops with titles below;

  • Advanced Power Query and M Extensions
  • Azure Infrastructure
  • Design and Implement SQL Server HA/DR Hybrid Solutions with Microsoft Azure
  • Agile Data Warehouse Design with BIML
  • BYOD – Design and Build IOT Solutions with Azure
  • Demystifying the DAX Language
  • Power BI for Developers
  • 36 Scripts: Performance Tricks Jedi Master Wants You to Know
  • Advanced Machine Learning and Analytics with Microsoft Toolset
  • Ultimate Sharing, Security, and Architecture for Power BI Solution

2-days full sessions on 13th and 14th Feb 2018

We have 50+ sessions on different subject of Microsoft Database Administration, Business Intelligence, and Data science presented by experts speakers in Microsoft data platform filed. check out the detail of these sessions from Here.

More details here:

Details of Sessions and Speakers

Here is a glance of sessions for this conference (up to date list is available in Difinity website);

  1. DAX as a Query Language
  2. Evaluation Contexts in DAX
  3. SSRS and Power BI Report Server – What’s New
  4. Real Life SSIS for Port
  5. Table Indexing for the .NET Developer
  6. Things You Should Never Do in Microsoft SQL Server
  7. Hybrid Distributed Architecture with Azure Data Sync 2.0
  8. Split, Merge, and Eliminate – An Introduction to Partitioning
  9. Performance in 60 Seconds – SQL Tricks Everybody MUST Know
  10. Secrets of SQL Server – Database Worst Practices
  11. Database Monitoring and Reporting in 2018
  12. Impact of Weather on English Premier League Matches – Power BI Analysis
  13. Analysis Services Data DNA
  14. Dynamic Charts for Browser and Mobile with Excel
  15. SQL Server AlwaysOn AG – Common Issues Reported
  16. Troubleshooting Issues with Extended Events in Real Time
  17. Secure Your Data at Rest – On Demand, Now!
  18. Data Orchestration with Azure Data Factory
  19. SQL Server in a Multi-Platform World – Windows/Linux/Mac
  20. Big Data Architecture Patterns and Practices on Azure
  21. Big Data Ingestion and Analytics with Microsoft Azure
  22. What Are Chat Bots and Why Do We Need Them in Business Intelligence?
  23. Azure SQL Data Warehouse, Data Lake, Polybase, SSAS, and Power BI
  24. Data Lake Analytics – R, Python and Cognitive Services
  25. Power BI Gateway as a Solution
  26. Azure Database Migration – Choosing the Right Tier
  27. Power BI Row Level Security Made Easy
  28. Performance Tuning with SQLSentry for SQL Server
  29. Designing a SQL Server AlwaysOn Availability Groups Topology Without Losing Your Sanity
  30. What SQL Server DBAs Need to Know About Distributed Availability Groups
  31. Why MDX Cubes Aren’t Dead Yet?
  32. An Introduction to the Magical World of BIML
  33. Performance Tuning for the BI Professional
  34. Test Drive Development in SQL Server – It Will Make Your Database Deployments Better
  35. Real-time Analytics: OLAP & OLTP in the Mix!
  36. 2,4,8 & 16 – Journey of Upgrading Your Data Platform with SQL Server
  37. Power Query and M Deep Dive
  38. Power BI Sharing and Security All in One
  39. Power BI Embedded
  40. Power BI Administration
  41. Machine Learning and Predictive Analytics with Microsoft Technologies
  42. Power BI Visualization Best Practices
  43. SQL Server Graph Database
  44. Cosmos DB
  45. Power BI and R Better Together
  46. Microsoft Solution Case Study for Enterprises

Registration for Difinity is open now;


Where can I contact the organizer with any questions?

Contact us with this email; or

Is my registration/ticket transferrable?

Yes, before starting the conference only.

Can I update my registration information?

Yes, before starting the conference only.

What is the refund policy?

Cancellation Details are listed below. Cancellation fees are calculated per ticket (pre-con and 2-days conference individually);

Cancellation: (Per Ticket)

Cancellation up to 5 weeks before the event: fully refund minus administration fee ($50) and credit-card processing fees (if applicable).

Cancellation from 5 weeks to 2 weeks before the event: 50% cancellation charge, 50% refund

Cancellation from 2 weeks before the event: 100% cancellation charge, 0% refunded.

No Show:

No fee will be refunded for no show.

The name on the registration/ticket doesn't match the attendee. Is that okay?

You need to change/transfer ticket to someone else before starting the conference. At the day of conference the registration/ticket's name SHOULD MATCH the attendee's name.

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Langham Hotel Auckland

83 Symonds St

Grafton, Auckland 1010

New Zealand

View Map

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