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Category: Data Warehouse

18th October 2016

Data discovery – the step before extraction

Categories: Data Discovery, Data Management, Data Model Enterprise Information Management, Data Warehouse, Enterprise Application, Enterprise Metadata Management, Metadata discovery, Oracle, Salesforce, SAP

What comes before data extraction? In any data intensive project be it a data warehouse, data migration, master data there is a data discovery phase which has to be completed before any movement of data can be performed.  This is what used to be called source data analysis and is in modern parlance more likely […]

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8th April 2016

Transformation to a data driven business needs metadata

Categories: Data, Data Discovery, Data Governance, Data Management, Data Model Enterprise Information Management, Data Warehouse, Enterprise Information Management, Enterprise Metadata Management, Metadata, Metadata discovery

Introduction The theme at Enterprise Data World 2016 is “transforming to a data driven business” and Silwood Technology are delighted to be sponsoring the event again this year. This is a broad subject that covers a multitude of disciplines, for example, data governance, enterprise information management, master data, business intelligence and analytics as well as data […]

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4th January 2016

Metadata – one of Big Data’s “dirty little jobs”?

Categories: Big Data, Data, Data Discovery, Data Management, Data Model Enterprise Information Management, Data Warehouse, Metadata, Metadata discovery, Safyr, Salesforce, SAP, SAP BW, SAP HANA

big data’s little jobs I happened across an interesting article by David Gee recently.  It was entitled “A guide to the little jobs that will make big data work.” (http://www.itnews.com.au/blogentry/a-guide-to-the-little-jobs-that-will-make-big-data-work-409655) What I found particularly noteworthy, not to mention refreshing, was the acknowledgement of the importance of metadata in a big data project.  This is not […]

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17th November 2015

Star schemas and snowflakes – finding data models in SAP BW

Categories: Data, Data Warehouse, Metadata, SAP, SAP BW

Understanding data models in SAP BW is a challenge Here is another in our occasional series of data models.   This one is a little different, in that it is about SAP Business Warehouse (BW). Part of the reason I’ve done BW this time is that we get a lot of demand for this capability.   Despite […]

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8th September 2015

What are you pouring into your Data Lake?

Categories: Big Data, Data, Data Discovery, Data Model Enterprise Information Management, Data Warehouse, Enterprise Metadata Management, Metadata

WHat exactly is a data lake? Recently I have been attending some vendor webinars on Big Data, Data Lake strategy, Hadoop in the context of Data Warehousing and Analytics in an attempt to gain a clearer understanding both of the technology platforms available and more importantly some knowledge of the use cases and benefits a […]

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26th November 2014

Application metadata in an Agile Data Warehouse world

Categories: Agile, Data, Data Model, Data Warehouse, Enterprise Metadata Management, JD Edwards, Oracle, PeopleSoft, Salesforce, SAP, Siebel

I have been reading quite a lot recently about the applicability of Agile methodologies for Data Warehousing amongst other initiatives and it appears to me that often the topic of source data analysis is under-represented in the literature and blogs so I thought I would discuss the subject of application metadata in an Agile data […]

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9th December 2013

Perhaps it is time to start acknowledging the challenge of source data analysis?

Categories: Business Process, Data and Application integration, Data Model Enterprise Information Management, Data Warehouse, Enterprise Information Management, JD Edwards, Oracle, PeopleSoft, Safyr, SAP, SAP HANA, Siebel

“Garbage out, garbage in” I know, I know I have got that the wrong way round. Well, actually I did it on purpose to illustrate a problem with BI/Data Warehousing projects and incidentally many other Information Management initiatives. That problem is the challenge of source data analysis – particularly with SAP, Oracle and Salesforce packages. […]

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16th September 2013

Are you a Data Modeler or Data Worker?

Categories: Data, Data Model Enterprise Information Management, Data Warehouse, Safyr, SAP

A few months ago I was at a meeting with a customer who was involved with a BI project that was pulling data from an SAP system into a Data Mart. One of the people at the meeting was very experienced in the ETL tool the customer was using for this project. We were showing […]

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24th July 2013

Is metadata discovery necessary on SAP HANA projects?

Categories: Big Data, Data, Data Warehouse, Enterprise Metadata Management, Metadata discovery, Safyr, SAP, SAP HANA

I picked up on a great blog by Jonathan Haun, Consulting Manager, Decision First Technologies recently where he talked at some length about the Data Modelling aspects of SAP HANA, click here to link through to it. I commented back that I felt that HANA projects needed to go through a data source discovery phase […]

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5th July 2013

Data vs Process: “This house believes that there is no such thing as ‘Process’ in a computer system, there is only ‘Data’.”

Categories: Big Data, Business Process, Data, Data and Application integration, Data Warehouse, Enterprise Information Management, Enterprise Metadata Management, Master Data Management, Metadata discovery

  I realise this might be controversial but I do believe it.  IT professionals have long talked about Process Modelling as the way to understand what a complex system does, while Data Modelling tends to be seen as the ‘Cinderella’ of the modelling world. But Process is merely the moving around of data.  When all […]

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19th June 2013

The traditional view is that metadata is boring and complex and should be left to technicians – perhaps it is time to think differently!

Categories: Data and Application integration, Data Lineage, Data Warehouse, Enterprise Application, Enterprise Information Management, Enterprise Metadata Management, Master Data Management, Metadata discovery, Safyr

Metadata is boring and complex and should only be of interest to technical specialists and geeks! Well, that is a commonly held view; however in today’s environment where exploiting data, in the form of Data Warehouse, Business Intelligence and Analytics, Master Data Management, Big Data, Data Governance and even Enterprise Architecture initiatives, is becoming more critical […]

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19th August 2011

Big Process and Big Data

Categories: Big Data, Data and Application integration, Data Warehouse, Enterprise Application, Saphir

I’ve just been reading what Clay Richardson over at Forrester is saying around putting data and BI closer to the sharp end of business. http://searchbusinessanalytics.techtarget.com/news/2240037726/Process-intelligence-gains-momentum-at-the-intersection-of-BI-and-BPM?asrc=EM_NLN_14612906&track=NL-544&ad=844365 I am also aware of some of his other work where he talks about Process and Data folks not talking to each other and causing real problems for the business. […]

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5th August 2011

SAP data model design and HANA

Categories: Data and Application integration, Data Warehouse, SAP, Saphir

I just commented on a fascinating article http://www.sdn.sap.com/irj/scn/weblogs?blog=/pub/wlg/25147 by Jamie Oswald over on the SAP Community Network that relates to my earlier blog on BI and complex data environments. He amusingly points up the data model optimisation “battle lines” between the BI and developer communities. I quote… “Why are transactional data models really hard to […]

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