Welcome

Passionately curious about Data, Databases and Systems Complexity. Data is ubiquitous, the database universe is dichotomous (structured and unstructured), expanding and complex. Find my Database Research at SQLToolkit.co.uk . Microsoft Data Platform MVP

"The important thing is not to stop questioning. Curiosity has its own reason for existing" Einstein



Showing posts with label Advanced Analytics. Show all posts
Showing posts with label Advanced Analytics. Show all posts

Sunday, 4 July 2021

Operational Intelligence

The answers lies in insights from data analytics whether diagnostic , predictive or  prescriptive analytics. 

The Gartner model looks at 4 areas to gain competitive advantage.



I Watching a presentation at Microsoft Build this slide was shared adding an additional dimension of cognitive analytics. Interesting to see the deeper insight showed in a diagram as AI as the driving force through the advanced analytics areas.


 

Thursday, 3 September 2020

Spark + AI Summit Europe has evolved

Spark + AI Summit Europe is Expanding and Getting a New Name: Data + AI Summit Europe. In November 2020, there will be the launch of the inaugural Data + AI Summit Europe, officially expanding Spark + AI Summit content and community to include all things data, with a focus on the best open source technologies for building enterprise data applications!
https://databricks.com/blog/2020/09/02/spark-ai-summit-europe-is-expanding.html .  You can also access all of the videos and slides from the 2020 virtual conference. WATCH ON DEMAND

Thursday, 14 May 2020

Microsoft Build is coming to your home

Sign up to watch Microsoft Build, a digital event, May 19-20 2020. Microsoft Build delivers a new way to create unique opportunities for us to explore the latest developer trends and tools in a series of detailed, expert-led key segments. This is always an amazing conference that empowers the developer.


Friday, 8 May 2020

Microsoft Business Applications Summit 2020 Excitement

Microsoft Business Applications Summit took place online this year 6-7 May 2020 for free. New features were shared and the sessions discussed how to optimize operational processes. I was particularly interested in Power BI. There was an emphasis on Data Culture for every decision. The new features are intelligent and familiar, meet the needs of business and IT, in a unified way, and are ubiquitous, for everyone to have access. Trust is the foundation with BI for collaborative teamwork and BI being woven into the fabric of the organization.






















There are some amazing AI features with the natural language smart narratives, being able to suggest questions in Q and A and there is trend analysis automatically generated over points.





















The data stack for Power BI collects query patterns and determines materialized views for optional performance. Microsoft Information Protection in Power BI is GA. For admin and governance you can bring you own log analytics. Deployment pipelines are coming as part of the application lifecycle management.

Lineage view and dataset impact analysis are two useful additions to the toolset.  Lineage view recently became generally available. Lineage view enables you to visualize the entire data journey from a given workspace, making it easy to determine the upstream and downstream dependencies of artifacts, examine artifact information, and take action. Dataset impact analysis enables a dataset owner to understand how a dataset is being used within the workspace and in other workspaces. With the dataset impact analysis, it is possible to determine if a dataset is being used in mulitple workspaces, so the impact of changes can be reduced.



There will be templates to help people start with Power BI like other Microsoft products. There were so many other new feature announced. You can watch the sessions from the day on-demand.


Tuesday, 7 January 2020

ODI Data Ethics Canvas

The ODI have created a useful tool for anyone who collects, shares or uses data. This aims to help identify management ethical issues at the start of a data project. The Open Data Institute defines data ethics as:

'A branch of ethics that evaluates data practices with the potential to adversely impact on people and society – in data collection, sharing and use'

They say data ethics relates to good practice around how data is collected, used and shared. It is especially relevant when data activities have the potential to impact people and society, directly or indirectly.

The Data Ethics Canvas is a part of a wider data toolkit.