Unlock the Full Potential of Your InterSystems Caché and InterSystems IRIS Data with SQL Data Lens!

Are you searching for the ultimate data exploration tool specifically designed for InterSystems Caché and InterSystems IRIS? Look no further – SQL Data Lens is here to revolutionize the way you interact with your data!

Built from the ground up with a laser focus on optimizing performance for InterSystems Caché and InterSystems IRIS databases, SQL Data Lens takes your data analysis to unprecedented heights. Say goodbye to generic tools that struggle to handle your complex data structures – and say hello to seamless, lightning-fast data exploration!

Key Features and Benefits:

  1. Unparalleled Performance: Don’t let slow queries hold you back. SQL Data Lens is tailored to harness the full potential of InterSystems Caché and InterSystems IRIS databases, delivering blazing-fast response times, even with massive datasets.
  2. Native Interoperability: We speak your data’s language. SQL Data Lens seamlessly integrates with InterSystems Caché and InterSystems IRIS, eliminating the need for cumbersome data conversions or middleware.
  3. Advanced SQL Capabilities: Leverage the full power of SQL to extract insights from your data. With comprehensive SQL support, including complex joins and subqueries, you can craft sophisticated queries that unveil valuable information.
  4. Intuitive Visualizations: Data becomes enlightening with our intuitive and interactive visualizations. Unravel intricate relationships, trends, and anomalies effortlessly, making data-driven decisions a breeze.
  5. Data Lens AI Assistant: Our AI-powered assistant is your ultimate sidekick. Get real-time suggestions for queries, optimizations, and visualizations, enhancing your data exploration and analysis capabilities.
  6. Real-Time Collaboration: Foster a collaborative data-driven culture within your organization. With real-time collaboration features, multiple team members can work together, sharing insights and driving better decision-making.
  7. Enhanced Security: Protecting your data is our top priority. SQL Data Lens ensures data security through robust encryption and role-based access controls, giving you peace of mind.

Don’t settle for one-size-fits-all solutions that barely scratch the surface of your InterSystems Caché and InterSystems IRIS data. Elevate your data analysis to new heights with SQL Data Lens, purpose-built for your specific needs.

Are you ready to unleash the true power of your InterSystems databases? Experience the game-changing capabilities of SQL Data Lens with a risk-free trial. Don’t miss out on this golden opportunity to supercharge your data insights and gain a competitive edge. Join the exclusive league of InterSystems Caché and InterSystems IRIS experts today!

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Streamlining Data Export with SQL Data Lens: A Database Developer’s Love Story

As a database developer specializing in InterSystems IRIS, I’ve encountered my fair share of challenges and triumphs when it comes to managing data. However, there’s one tool that has consistently impressed me and transformed the way I work with databases: SQL Data Lens. In this blog post, I want to share my genuine appreciation for SQL Data Lens and why it has become an essential part of my data export toolkit.

1. A Solution Tailored for InterSystems IRIS

InterSystems IRIS is a powerful and versatile database system, but it comes with its own set of complexities. SQL Data Lens is designed with the nuances of InterSystems IRIS in mind. This specialized focus means I can work seamlessly with my IRIS databases without the need for workarounds or compromises.

2. Effortless Data Export Integration

Exporting data from InterSystems IRIS has never been more straightforward than with SQL Data Lens. It seamlessly integrates with IRIS, allowing me to extract, transform, and load (ETL) data with ease. Whether I’m performing a one-time export or setting up automated data pipelines, SQL Data Lens streamlines the entire process.

3. Simplified Query Building

When dealing with extensive datasets, crafting complex SQL queries is inevitable. SQL Data Lens offers an intuitive query builder that simplifies the creation of intricate queries. Its visual interface makes it easy to construct queries, saving me valuable time and reducing the risk of errors.

4. Data Transformation Made Easy

Data export often involves more than just moving data from one place to another. SQL Data Lens provides powerful data transformation capabilities, enabling me to manipulate and cleanse data as needed during the export process. This ensures that the data I export is accurate and ready for its destination.

5. Enhanced Workflow Efficiency

SQL Data Lens’s user-friendly interface and workflow enhancements are a boon for my productivity. The tool adapts to my preferred work style, allowing me to focus on the task at hand rather than wrestling with a cumbersome interface. It’s a tool that empowers me to work efficiently.

6. Robust Support and Community

No tool is complete without a supportive community and robust resources. SQL Data Lens boasts an active user community and extensive support documentation. Whenever I encounter a hurdle or seek best practices, I can rely on this community to provide guidance and solutions.

In conclusion, SQL Data Lens isn’t just another tool in my arsenal—it’s a game-changer for data export tasks in the InterSystems IRIS ecosystem. Its specialized approach, seamless integration, query building prowess, data transformation capabilities, workflow efficiency, and community support make it an indispensable asset in my daily work.

If you’re a database developer specializing in InterSystems IRIS and you haven’t explored the potential of SQL Data Lens, I highly recommend giving it a try. You’ll likely discover, as I did, that it simplifies your data export tasks and empowers you to achieve more in less time.

Experience the joy of working with a tool that aligns perfectly with your InterSystems IRIS projects. SQL Data Lens is the catalyst that can elevate your data export endeavors to new heights.

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Embracing Excellence: My Love for SQL Data Lens as an InterSystems Database Developer

As a dedicated InterSystems database developer, I’ve had the privilege of working with various tools and solutions over the years. But there’s one tool that has truly captured my heart and become an indispensable part of my toolkit: SQL Data Lens. In this blog post, I’d like to share my passion for SQL Data Lens and explain why it’s my preferred choice for working with InterSystems databases.

1. A Tailored Approach to InterSystems Database Development

One of the key reasons I adore SQL Data Lens is its tailored approach to InterSystems database management. Unlike generic database tools that try to be all things to all databases, SQL Data Lens is specifically designed to address the unique challenges and intricacies of InterSystems databases.

2. Seamless Integration with InterSystems Technologies

InterSystems is known for its diverse ecosystem, which includes Caché, IRIS, and other powerful technologies. SQL Data Lens seamlessly integrates with this ecosystem, offering a cohesive and efficient development experience. Whether I’m working with Caché or IRIS, I can trust that SQL Data Lens will support my efforts.

3. Advanced Query Building and Performance Optimization

As a developer, optimizing database queries is a top priority. SQL Data Lens not only simplifies the process of building complex queries but also provides robust performance tuning tools. This means I can fine-tune queries to achieve optimal database performance without the headache.

4. Industry-Specific Solutions

SQL Data Lens isn’t just a one-size-fits-all solution. It caters to specific industries and use cases. This flexibility is a game-changer, especially when working on projects in healthcare, finance, or other sectors with unique database requirements. SQL Data Lens adapts to my needs rather than forcing me to adapt to it.

5. User-Friendly Interface and Workflow

The user-friendly interface of SQL Data Lens has significantly improved my productivity. The intuitive design streamlines database development tasks, allowing me to focus on what matters most—designing and optimizing databases. It’s a tool that works with me, not against me.

6. Strong Community and Support

Database development can be challenging, but it’s reassuring to know that SQL Data Lens has a thriving user community and ample support resources. I’ve found answers to my questions, solutions to my challenges, and a sense of camaraderie among fellow developers who share my enthusiasm for this exceptional tool.

In conclusion, SQL Data Lens isn’t just a database management tool—it’s a partner in my InterSystems database development journey. Its tailored approach, seamless integration, advanced capabilities, industry-specific solutions, user-friendly design, and robust community support make it a true standout in the world of database development.

If you’re an InterSystems database developer like me, I encourage you to give SQL Data Lens a try. It may just become your new favorite tool, elevating your development experience and helping you achieve excellence in your projects.

Discover the power of SQL Data Lens and experience the joy of working with a tool that understands your unique needs as an InterSystems database developer.

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Modern Data Stack in a Box with DuckDB

There is a large volume of literature (1, 2, 3) about scaling data pipelines. “Use Kafka! Build a lake house! Don’t build a lake house, use Snowflake! Don’t use Snowflake, use XYZ!” However, with advances in hardware and the rapid maturation of data software, there is a simpler approach. This article will light up the path to highly performant single node analytics with an MDS-in-a-box open source stack: Meltano, DuckDB, dbt, & Apache Superset on Windows using Windows Subsystem for Linux (WSL). There are many options within the MDS, so if you are using another stack to build an MDS-in-a-box, please share it with the community on the DuckDB Twitter, GitHub, or Discord, or the dbt slack! Or just stop by for a friendly debate about our choice of tools




The Modern Data Stack: Past, Present, and Future


Learn how some of the most amazing companies in the world are organising their data stack. Learn more about the tools that they are using and why.


Data Warehouse and Data Lake Modernization: From Legacy On-Premise to Cloud-Native Infrastructure

Many people talk about data warehouse modernization when they move to a cloud-native data warehouse. Though, what does data warehouse modernization mean? Why do people move away from their on-premise data warehouse? What are the benefits?

Data Warehouse and Data Lake Modernization: From Legacy On-Premise to Cloud-Native Infrastructure – Kai Waehner (ampproject.org)

Data Warehouse and Data Lake Modernization: From Legacy On-Premise to Cloud-Native Infrastructure – Kai Waehner (ampproject.org)

Reset des Südwind Ambientika wireless+

Wenn der Südwind Ambientika wireless+ nur noch im Feuchtigkeitsbetrieb ausgeführt wird (Feuchtigkeitsalarm = rote LED leuchtet und nur noch Abluftbetrieb), gibt die Anleitung zur Fehlerbehebung folgenden Tipp: „Erhöhen Sie den Schwellenwert für das Eingreifen des Hygrostats“.

Dieser Schwellenwert ist bei mir seit der Inbetriebnahme unverändert auf dem höchsten Wert eingestellt und kann somit das Problem nicht lösen.

Der nette Support der Firma lieferte dann die Lösung. Folgende Aktionen müssen in dieser Reihenfolge ausgeführt werden. Nach danach funktionierte der Lüfter wieder wie gewohnt.

Daszu folgendes am Master ausführen:

  • Gerät AUS
  • Gerät EIN
  • dann AUTO Modus mit 3 Tropfen Feuchtigkeitsschwelle

Jetzt sollte der Südwind Ambientika wireless+ wieder normal arbeiten.

Home Assitent – deye microinverter

GitHub – Hypfer/deye-microinverter-cloud-free: Documentation and tooling to use Deye microinverters without the solarman cloud

GitHub – StephanJoubert/home_assistant_solarman: Home Assistant component for Solarman collectors used with a variety of inverters.

GitHub – kbialek/deye-inverter-mqtt: Reads Deye solar inverter metrics and posts them over mqtt


GitHub – markussiebert/homeassistant-addon-vzlogger: vzlogger as addon for homeassistant supervisor

GitHub – volkszaehler/vzlogger: Logging utility for various meters & sensors

SmartMeter ist „freigeblinkt“:

vzlogger ohne middleware: „api“:“null“

The Digital Antiquarian – filfre.net

The Digital Antiquarian (filfre.net)

e.g. read about » Elite (or, The Universe on 32 K Per Day) The Digital Antiquarian (filfre.net)

A universe in 32 K, an icon of British game development, and the urtext of a genre of space-combat simulations, the sheer scope of David Braben and Ian Bell’s game of combat, exploration, and trade can inspire awe even today.

» Hall of Fame The Digital Antiquarian (filfre.net)

The best graphic adventure ever made for the Commodore 64 and the starting point of the LucasArts tradition of saner, fairer puzzling, this intricately nonlinear and endlessly likable multi-character caper deserves a spot here despite a few rough edges.

» A New Force in Games, Part 3: SCUMM The Digital Antiquarian (filfre.net)

In this video Scott and Mark use Copilot to create a asteroid game


GitHub Copilot is a powerful AI tool that helps you write code faster and better. Join Scott Hanselman and Mark Russinovich as they use GitHub Copilot to create a fun and interactive application from scratch. You will learn how LLMs that power GitHub Copilot work under the cover, LLM capabilities and limitations, and the difference between finetuning and prompt engineering. Whether you are a beginner or an expert, it will inspire you to explore new possibilities with GitHub Copilot and LLMs