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Community Day Coming Up

DSharp core team

We are hosting a Community Day on Wednesday, May 10th from 3pm to 5pm at our office in Turku. The event is open to D♯ Engine users and partners.

The Community Day will feature a presentation by Senior Data Platform Expert Johanna Tuominen from Netum. She will take the attendees on a journey through the history of Monetra Oy’s DW solution. Tuominen will cover the development of the DW solution from the earliest days of D♯ SmartEngine to the latest developments, with a focus on rare use cases and the twists and turns of a long development process.

In addition to the presentation, DSharp will open up community opportunities and listen to partner thoughts, with the goal of initiating collaborative action. There will also be a surprise performance that is sure to delight attendees.

The event will take place at DSharp’s office in Regus Turku, located at Yliopistonkatu 31, 3rd floor. Following the official program, attendees are invited to stay for casual conversation and networking for the rest of the evening.

The Community Day promises to be an exciting opportunity for D♯ Engine users and partners to come together, learn about the latest developments and discuss new opportunities for collaboration.

(If you wish to attend and haven’t gotten an invitation please write an email to konsta.weber@dsharp.fi by April 30th.)

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Update to the D♯ Engine: Streamlining Data Management and Enhancing User Experience

Streamlining Data Management and Enhancing User Experience

We are excited to announce the release of the latest update to our D♯ Engine. This update introduces a range of new features and fixes to existing issues, ensuring an enhanced user experience for those working with the D♯ Engine.

Prioritized Attribute Value Selection
In this update, we’ve added the ability to prioritize the data sources for a class or an attribute when building the class view. This feature makes it possible to prioritize more trusted data sources over less trusted ones to publish the data most accurately in the class view.

Efficient Loading of Latest Data Versions
We now offer support for loading only the newest version from a data set containing multiple versions of the same entity. This feature streamlines the loading process, saving time and enhancing overall efficiency in working with data. Also, the view layer in general is now more efficient.

AI-based Natural Language Input (Technology Preview)
We are also introducing a technology preview of AI-based natural language input in the data grid. This much-anticipated feature promises to make querying data faster and more intuitive, transforming the way you interact with your data and improving data management capabilities.

Improved Source Data Mapping and Hashing
Our update includes significant improvements in analysis of the source data mappings. We’ve optimized the hashing mechanism, leading to more efficient loads by minimizing the number of left-joins during hashing.

User Interface Enhancements
We’ve implemented several UI changes and additions, such as a new hierarchical menu for each class, allowing you to quickly generate massive association-based SQL joins with just one click. The deployment package now includes recommendations on how to finalize the deployment manually if needed. Furthermore, we’ve resolved existing issues, including a soft delete issue in cases where a hubless class was marked for soft delete.

Upgrade to the Latest D♯ Engine Update Today
In summary, the latest update of our D♯ Engine offers a variety of new features and fixes that will significantly improve the user experience. We encourage all D♯ Engine users to upgrade to this latest version and take advantage of these valuable improvements in data management and overall user experience.

See full release notes and download here.

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DSharp Opens Access to Course Materials for the DSharp Engine

DSharp courses

We are excited to announce that we have made our course materials and related information on the DSharp Engine, openly accessible to everyone on our website. Our goal is to provide an easily accessible and comprehensive platform for users to explore and understand how the DSharp Engine works. By visiting our Community page, you can now dive into the world of Data Warehouse automation and discover the powerful features of the DSharp Engine. You can check out the course material to learn to use the D♯ Engine for building a Data Warehouse.

Open Access to DSharp’s Course Materials

By opening access to our course materials, we aim to create a vibrant and engaged community of users who can learn and grow together. The materials provided on our website cover a wide range of topics for both introductory and advanced users:

  1. Introductory Course: Check out how to get started with the DSharp Engine by visiting our Intro Course page. This course introduces you to the basics of the DSharp Engine, including its features, benefits, modeling and how to set it up.
  2. Advanced Course: See how the seasoned D♯ Engine users level up their skills with the Advanced Course available at our Advanced Course page . This course dives deeper into the DSharp Engine, covering more advanced topics such as scripting, different approaches to implementing a Business Model, and various cases in Raw Model Implementation.

By providing open access to these resources, we hope to empower data professionals and enthusiasts to learn how to create Data Warehouses faster, leaner, and so that the maintenance and modifications can later be done with less effort.

We organize Intro Courses 1 time per month. The advanced courses are held more on a demand basis. The courses are worth to visit as you get the background info, hands on practice and guidance as well support for learning.

For learning to use the D♯ Engine you also need an environment to study and access to the D♯ Engine, we can of course help with that.

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Introducing DSharp Engine version 4.0

DSharp Engine Version 4.0 released

We are excited to announce the latest version of our D♯ Engine, version 4.0. With this new release, we have added some major new features that will take the tool’s capabilities to the next level.

One of the most significant new features in version 4.0 is the support for Microsoft Synapse Analytics. Specifically, our tool automatically handles table distribution and selects the best indexing model for each table using the exact same metadata our users have been using for years. This integration provides a seamless experience for users who want to utilize Microsoft Synapse Analytics, making it easy to access and analyze their data in the cloud. Synapse works extremely well with large data masses, so bigger organizations will welcome this new possibility.

In addition to the Microsoft Synapse Analytics support, version 4.0 also includes extended source data mapping functionality. This allows users to easily map their data from various sources in a more flexible way than before. For example, the users can now map several source tables within the same schema to the same class, split denormalized data to several classes and map the same source column to multiple attributes. This enhancement greatly simplifies the development process and data integration, further streamlining the development process by replacing yet more manual work with automation.

Another important feature of version 4.0 is the ability to generate partial solutions if parts of the model fail validation. You can restart the Data Vault generation process even though some classes have failed verification. The failed classes will internally be marked as non-implementable before starting the process. This allows users to continue working with the deployment, even if another part of the model contains errors.

We are confident that these new features will greatly benefit our users and help them extend the use of the D♯ Engine. If you’re interested in trying out D♯ Engine version 4.0, contact us and we’ll set up a meeting.

We appreciate the support of our users, and we look forward to continuing to improve D♯ Engine.

See full release notes here.

Check out the recording of our release webinar (in Finnish) here.

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An Exciting Year Is Approaching Its End! 

I’ve been with DSharp for just over a year now and we have had the time of our lives! During 2022 almost all our company functions have taken a big leap forward. We have gained many new customers and worked on tens of projects with our current customers and partners. The vibe in all business areas has been very good. A new investor committed to our growth and we became a fully independent company! We also hired a new Business Development Lead, Konsta Weber, to take us international. 

Overall the interest in our unique way of building low code (or even no code!) data warehouses has been great and is increasing. Our public training courses have been fully booked almost every month and additionally we have given seminars and workshops as well as been leading business modeling projects. Efficient collaboration between management, business representatives and Data professionals is one key to success. Professional services have been record high, we have helped customers and partners with data warehouse architecture, POCs and data warehouse optimization. I’m happy to say that all this has led to having our monthly license revenue doubled during the year! 

Our main product, D# Engine, has been receiving well-deserved attention. We published four new versions this year, three of them minor releases and one major release with our first open source target database support, PostgreSQL. Now we are publishing another major version, 4.0! This includes full support for Microsoft Azure Synapse dedicated pool with automatic distribution and index selection. This version concludes our full support for the Microsoft ecosystem, and now we can deploy the data warehouse to an on-premise SQL Server, Azure SQL database (all versions) and Azure Synapse dedicated pool, all based on the same conceptual model. And any migration between these is done just by pressing one button! This is also true for PostgreSQL. 

Stay tuned! During 2023 we will continue growing and we have exciting features in the pipeline! Creating, extending and maintaining a data warehouse has never been easier! 

I want to thank all of you – customers, partners, developers, everyone – for everything we have done together! Cooperation with all of you has been really good and fun! 

I wish you all a Happy New Year and see you next year! 

Best regards, 

Tero-Matti 

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