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Engaging Data Bites: CI/CD for WhereScape

Engaging Data Bites: CI/CD for WhereScape

Engaging Data Bites: CI/CD for WhereScape


Hungry for some knowledge? Satisfy your appetite whilst you feed your mind with our next lunch and learn!

We are excited to invite you to our Engaging Data Bites where we will be covering CI/CD for WhereScape Products!

Accelerate Data Warehousing with CI/CD.

Join us for this Engaging Data Bites and explore the world of Continuous Integration and Continuous Deployment (CI/CD) in the content of Data Warehousing with WhereScape!

In today’s fast-paced business environment, staying ahead of the competition and responding to rapidly evolving data requirements is crucial. CI/CD methodologies:

  • Enable your organisation to streamline your data development processes
  • Increase collaboration
  • Reduce errors
  • Deliver high-quality data solutions at an accelerated pace

About WhereScape –

WhereScape Data Automation is a software that automates Data Warehousing processes and helps organisations quickly and easily create, manage, and maintain their Data Warehouse.

It simplifies the process of Data Warehousing and makes it easier for your organisation to extract insights from your data.

From Data Warehouse to Data Lakes, deliver data infrastructure and integration quickly and seamlessly.

Eliminate hand-coding, automate data and documentation, and focus on the work that drives you towards business success.

Engaging Data Bites –  

Come and join us for this Engaging Data Bites Session with WhereScape! 

It is happening on the 14th Sept at 12:30pm.  

This event will be hosted virtually on Microsoft Teams. You don’t even have to leave your office to attend!  

Just click the link below, register your place and keep an eye on your inbox for the invite! 

Save your spot now: 

Get ready to ask some questions to ask during the Q&A too! Feast on knowledge about all things CI/CD for WhereScape!   

We hope to see you there! 😎

The ED F1 Test Drive with WhereScape

The ED F1 Test Drive with WhereScape

The ED F1 Test Drive with WhereScape

Prepare to go full throttle!

You will be able to live life in the fast lane in the World’s First fully immersive Formula 1 Racing Simulation Experience too! As well as having food, drinks and networking opportunities. 

Accelerate your data projects with The ED F1 Test Drive.   

Join us on the 29th June for a fast-paced workshop and experience WhereScape Data Automation Software.  

The ED F1 Test Drive – 

Try out WhereScape Data Automation Software for yourself! 

Enjoy a fast-paced, interactive workshop using an automated code generator and best-practice templates to build a fully functional and documented data warehouse.  

Bring your machine and we will set you up with WhereScape and a target database via a virtual machine. Guiding you through real-world development scenarios as if you were part of a professional data engineering team.  

Be in pole position and experience the latest data automation technologies and how they can help you streamline your data architecture. 

By the end of this session, you will have built a Data Warehouse and understand the wider value of this approach to Data Vaults, Data Marts, and Data Lakes.  

The secrets to accelerating data projects and delivering in hours, not weeks or months, will have been revealed! You will know how to eliminate technology lock-in and future-proof your data architecture.

Things You Need to Bring – 

  • Your own device 
  • Your awesome driving skills  

Agenda –

13:45 – Arrival – Formation Lap 

14:00 – Test Drive Session 1 – Lights Out 

15:30 – Break – Box Box 

15:45 – Test Drive Session 2 – Hammer Time 

17:00 – Simulators & Networking (Food Served) – Podium 

Request your invitation for The ED F1 Test Drive with WhereScape!

Fill out the form below to request your invitation. Our team will be in touch with more information!

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Your data will be shared between Engaging Data & WhereScape 

Why Your Data Warehouse is Failing

Why Your Data Warehouse is Failing

Why Your Data Warehouse is Failing.


Being a critical component of any data-driven organisation, a Data Warehouse is a necessity.  

However, you’re probably wondering why your Data Warehouse is the biggest pain in your life, or maybe you don’t even have one yet?! Unfortunately, there isn’t one quick fix to solve all your problems – as nice as that’d be!  

But it’s time to get real – most Data Warehouses are crap. And, ultimately, yours could be one of them.  

A poorly designed or maintained Data Warehouse can cause serious problems for your business, becoming a hindrance rather than a help. Which we’re sure you don’t want, and we certainly don’t want that for you!  

But why are you dealing with a crap Data Warehouse? It doesn’t have to be this way; you shouldn’t be suffering! 

Keep scrolling (and reading, obviously) and you will learn why your Data Warehouse is failing and how to eliminate your Data Warehouse pain and experience Data Warehouse pleasure.  


With a mass of legacy code built up over a significant amount of time, by an amalgamation of different developers, consultants, freelancers or even monkeys – your Data Warehouse has no coding standards. Each individual has their own way of working and different approaches to answering your technical problems, which causes points of concern.  

Arguably, this doesn’t solve any of the technical problems you have encountered within your Data Warehouse. It just raises more problems!  

With the different processes, different ways to answer problems and no coding standards, from these individuals, it makes the support process a massive pain. Resulting in your having to sift through the code, try to understand what is happening, why it is happening, how it is happening, where it is happening… you get the picture.  

Consequently, it takes hours to try and figure out what caused the problem in the first place! And in that time, you’ve probably encountered even more issues which you need to spend even more time trying to fix. It’s a vicious cycle, to be honest! 

As if this wasn’t enough, the support overhead for this is massive! Having to do these manual and repeatable tasks is time-consuming and a huge strain on your resources. Let’s face it, do you really enjoy doing these mundane tasks? 


Repetitive tasks kill productivity.  

The more time that is being spent on doing mundane, repeatable tasks the less time you spend on the things that matter and benefit your organisation’s growth and overall success. 

Why are you doing repeatable tasks? You could spend your time wisely, and more efficiently, by building out new data features and data products that will help your business advance and contribute to the building of a data-driven culture. Oh wait, you don’t have the time because of these mundane, repeatable tasks!  

Why waste time and money when you can automate these processes? Seems simple, right? 



Data is clearly vital to your organisation, which is why you need to stop wasting time processing data and struggling to build new data processes. You need to start spending your time being laser-focused on delivering data-driven analytics. 

This is where we can help you!  

At Engaging Data, our experience with Data Automation tools has helped us build many different data platforms for our clients.  

Working closely with you, we’re here for a good time not a long time! Taking your data and requirements and transforming them into usable assets in a matter of weeks – not months.

If you don’t experience this at the moment and your Data Warehouse is failing or if it is the biggest pain within your organisation, we have something for you! 

 Start experiencing Data Warehouse pleasure instead of Data Warehouse pain.  

Get our FREE DOWNLOAD on the 10 Reasons Why Your Data Warehouse is Killing You and stop your Data Warehouse from failing!   

In this download, there is even more insight and information into why your Data Warehouse is failing.  Go on, download it!  

Or you could just keep your struggling with your crap Data Warehouse – it’s up to you! 






FREE DOWNLOAD: 10 Reasons Why Your Data Warehouse is Killing You!

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Engaging Data Bites: WhereScape

Engaging Data Bites: WhereScape

Engaging Data Bites: WhereScape

Our next Engaging Data Bites is happening! This time with our partner WhereScape! Join us on the 7th June at 12:30!  

Don’t miss out, save your spot and get ready to feast on knowledge about WhereScape and their Data Automation Software. 

About WhereScape –  

WhereScape allows you to increase productivity, scale with standards, foster collaboration and continuity across your data community and own your data!  

Organisations across the globe, of all sizes, rely on WhereScape Data Automation Software.  

From Data Warehouse and Vaults to Data Lakes and Marts, WhereScape helps you deliver data infrastructure and big data integration fast.  

Eliminate hand-coding, automate data and documentation and focus on the work that drives you towards business success!  

Want to learn more about WhereScape? Click the button below!


Engaging Data Bites –

Are you wanting to join us for our Engaging Data Bites with WhereScape?  

Well, it is happening on the 7th June at 12:30 BST.  

This event will be hosted virtually on Microsoft Teams. You don’t even have to leave your office to attend!  

Just click the link below, register your place and keep an eye on your inbox for the invite! 

 Oh, don’t forget to think of some questions to ask during the Q&A too! 

Get ready to feast on knowledge about all things WhereScape!  

We hope to see you there! 😎

Using Pebble Templates in WhereScape RED to Deal with Hard Deletes in an ODS Table

Using Pebble Templates in WhereScape RED to Deal with Hard Deletes in an ODS Table

Using Pebble Templates in WhereScape RED to Deal with Hard Deletes in an ODS Table. 


In a recent YouTube video, we discussed how to use Pebble Templates in WhereScape RED to Deal with hard Deletes in an ODS Table

Giving an overview of WhereScape RED, and the benefits it has for you and your organisation.

Then delving into Data Stores and how we expect them to work, especially around Historic Data Stores.

Enabling you to store data and capture changes to your data in a historic Data Store, WhereScape RED is a great piece of software to do this.

Also, we discussed how we have created our FREE Pebble Template which can be run as a custom procedure after loading the Data into the Data Store.

Our Pebble Template has been designed to identify and end or update the DSS_CURRENT_FLAG and consequently update the DSS_END_DATE in line with the setting within the Data Store.

To find out more, watch the video:

The Problems Documenting a Data Warehouse

The Problems Documenting a Data Warehouse


The Problem Documenting a Data Warehouse

More data is being collected, stored, and analysed than ever before. One of the digital age challenges is how and where we store all this data safely and accessibly.

A modern Data Warehouse can solve many of these issues, using multi-tiered architecture to ensure different users with various needs can access the information they need. In order to expand and develop a Data Warehouse, documentation is invaluable.  

Are you considering approaching a Data Warehouse using a documentation method? Then read on to find out more! 

What is Documentation?

Data documentation is vital in many ways for a Data Warehouse, and it’s how you can ensure that your data will be understood and accessible by any user across your organisation. Documentation will explain how your data was created, its context, structure, content, and any data manipulations.  

Documentation is crucial if you’re looking to continue developing, expanding, and enhancing your Data Warehouse. However, it’s essential to understand what documentation entails to ensure your Data Warehouse operates smoothly and its processes run smoothly.  

Documenting a Data Warehouse

Like we said, the amount of data that we collect as store as organisations is increasing and traditional Data Warehousing that may be set up using a simpler database structure will often struggle to cope. Partially with the sheer volume of information it needs to store and analyse, it also needs to be accessed by various users, often in different ways. A document-based approach to data warehousing will allow for streamlining of data from multiple sources and multi-user access.  

When documenting your Data Warehouse, you should begin with creating standards for your documentation, data structure names, and ETL processes, as this creates the foundation upon everything else is built. A robust and excellent Data Warehouse will have straightforward and understandable documentation.  

A successful Data Warehouse implementation will often come down to the data solution’s documentation, design, and performance. However, if you can accurately capture the business requirements, then using documentation, you should be able to develop a solution that will meet the needs of all users across an organisation.  

At Engaging Data, documenting a Data Warehouse has become second nature. Although it’s not necessarily the easiest or most logistically straightforward part of the process, it’s necessary to ensure your data warehouse processes run smoothly.  

What Documentation do I need for a Data Warehouse project?

The exact pieces of documentation that you need may vary by your particular Data Warehousing project. However, these are some of the significant elements of documentation that you should have:  

  • The business requirements document will outline and define the project scope and top-level objects from the perspective of the management team and project managers.  
  • Functional/information requirements document, which will outline the functions that different users must be able to complete at the end of the project. This document will help you to focus on what the Data Warehouse is being used for and what different pieces of data and information the users will require from the data warehouse.  
  • The fact/qualifier matrix is a powerful tool that will help the team understand and associate the metrics with what’s outlined in the business requirements document.  
  • A data model is a visual representation of the data structures held within the Data Warehouse. A data model is a valuable visual aid to ensure that the business’s data, analytical and reporting needs are captured within the project. Plus, data models are helpful for DBAs to create the different data structures to house the data.  
  • A data dictionary is a comprehensive list of the various data elements found in the data model, their definition, source database name, table name and field name from which the data element was created.  
  • Source to target ETL mapping document, which is a list focusing on the target data structure, plus defines the source of the data and any transformation that the source element goes through before landing in the target table.  

What are the problems of Documenting a Data Warehouse?

Documenting a Data Warehouse can be a massive project, depending on the amount of data, the number of users that need access, and the business requirements. As the amount of data held within a Data Warehouse increases, management systems will need to dig further to find and analyse the data. This is especially an issue within traditional Data Warehouses, and as data volume increases, the speed and efficiency of a data warehouse can decrease.  

Generally, spending time to understand and document your business needs will make documenting your Data Warehouse easier because Data Warehousing is driven by the data you provide. If you don’t take the time to map these critical pieces of information early in the process, you may run into problems later on. Similarly, the correct processing of your data and structuring it in a way that makes sense for your organisation today and in the future. If you don’t set yourself up for the future, structuring data becomes more complex and can slow down the processing as you add more information to your Data Warehouse. In addition, it can make it more difficult for the system manager to read the data and optimise it for analytics.  

Overall, the better the initial documentation, planning, and business information model are, the easier your implementation process will be and make it easier to continue to add data to your warehouse. By carefully designing and configuring your data from the start, you’ll be rewarded with better results.  

Another potential problem in documenting a Data Warehouse is choosing the wrong warehouse type for your business needs and resources. Many organisations will allow various departments to access the system, stressing the system and impacting efficiency. By choosing the right type of warehouse for your organisation and making a future-proofed decision, you can balance the usefulness and performance of your data warehouse.   

Data Warehousing is an excellent system for keeping up with your business’s various data needs. By making many long-term decisions and preparing at the start, you can avoid many potential problems when documenting your data warehouse. However, you can prevent many challenges associated with data warehouse deployment and implementation by utilising a tool like WS Doc.  

What is WS Doc?

WS Doc is a simple-to-use tool that automates a lot of the processes of documenting your data warehouse by automating the publication of WhereScape documentation to your choice of WIKI technology.  

In addition, with WS Doc, you can collaborate on workflows, editing data sets and input, allowing various users to work on the project simultaneously. As well as integrating with other apps and systems, WS Doc makes collaboration and streamlined working possible.  

Why was WS Doc created?

WS Doc sought to bring document automation and assembly to more industries, turning tedious and detailed work into automated processes and systems.  

By allowing you to gather data and instantly generate template documents, even generating document sets from your data, you can save up to 90% of the time that you’d have spent on drafting documentation.

By automating the publication of WhereScape documentation to your choice of WIKI Technology (Confluence, SharePoint, GitHub, or something else), you’re providing your documentation with the power of the WIKI technology, allowing it to be easier to digest, apply, and share.

Overall, WS Doc streamlines and automates the process, speeding it up and making it less resource-heavy. 

Why Choose WS Doc?

In conclusion, by choosing WS Doc to document your Data Warehouse project, you’re utilising a simple tool to automate processes that otherwise would take a long time, as well as using a lot of resources, and that’s not even considering the possibility of human error in a process that requires a lot of detail and repetitive actions.  

We’ve discussed some potential problems you can run into when documenting a Data Warehouse. However, with WS Doc you can overcome these issues because WS Docs is a tool that promotes effective communication and collaboration, engaging with the people using data. It saves time and resources by automating the publication and implementation of documentation. And finally, it ultimately enhances your existing toolset, offering a developed, streamlined, and simple-to-use experience.   

Here at Engaging Data, we utilise WS Doc in the documentation of Data Warehouse projects we carry out for our clients.

If you’d like to know more about the process or see if WS Doc could be the right tool for your organisation and data needs, why not fill out the form below, and a member of our expert team will be in touch?