Phil Watt
5 SlideShares 16 Followers 14 Folgens
Personal Information
Unternehmen/Arbeitsplatz
Melbourne, Australia Australia
Beruf
Director, Principal
Branche
Technology / Software / Internet
Webseite
www.datajps.com/
Info
I'm a Chartered IT Professional with a strategic mind-set and over 20 years’ experience with Data & Analytics at any scale. I’m equally comfortable working with C-level executives or petrol-headed developers – & often provide translation services between the two groups. If you need help with the following challenges – I’m your guy:  Developing a data strategy to make your organisational goals achievable  Figuring out which analytics use cases will drive the best outcomes for your business – & how to do it  Operationalising your analytics programmes  Getting your maintenance costs down  Designing (or identifying crucial gaps in) your analytical ecosystem architecture
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analytics data engineering test driven development tdd data warehouse software engineering solutions challenges research test automation model training model productionisation business intelligence feature engineering data science data management application development architecture modernising data warehousing expressor demonstration university of glamorgan bcs chartered institute for it data integration data integration tools
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Why is TDD so hard for Data Engineering and Analytics Projects?

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Personal Information
Unternehmen/Arbeitsplatz
Melbourne, Australia Australia
Beruf
Director, Principal
Branche
Technology / Software / Internet
Webseite
www.datajps.com/
Info
I'm a Chartered IT Professional with a strategic mind-set and over 20 years’ experience with Data & Analytics at any scale. I’m equally comfortable working with C-level executives or petrol-headed developers – & often provide translation services between the two groups. If you need help with the following challenges – I’m your guy:  Developing a data strategy to make your organisational goals achievable  Figuring out which analytics use cases will drive the best outcomes for your business – & how to do it  Operationalising your analytics programmes  Getting your maintenance costs down  Designing (or identifying crucial gaps in) your analytical ecosystem architecture
Tags
analytics data engineering test driven development tdd data warehouse software engineering solutions challenges research test automation model training model productionisation business intelligence feature engineering data science data management application development architecture modernising data warehousing expressor demonstration university of glamorgan bcs chartered institute for it data integration data integration tools
Mehr anzeigen