GitHub – kbialek/deye-inverter-mqtt: Reads Deye solar inverter metrics and posts them over mqtt
VZLOGGER:
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)
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)
https://build.microsoft.com/en-US/sessions/e9568a77-7cf7-451e-a14b-a347313b2494?source=/favorites
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
Ein paar Bilder vom Nachbau des Heise PC Bauvorschlag 2023: 13-Watt-PC: Sparsamer Allrounder mit 64Gb
https://www.heise.de/ratgeber/Projektseite-Der-Optimale-PC-2023-7349205.html
If you are looking for SQL DATA LENS then please come this way: SQL DATA LENS features
SQL Data Lens is optimised for the unique features of InterSystems IRIS & Caché. It combines many tools with an intelligent SQL editor to provide easy access to your databases.
If you want to browse through my notepad, you can start here: Retro Archive – ixdb – a personal notebook
Kappa Architecture – Where Every Thing Is A Stream (pathirage.org)
Kappa Architecture is a software architecture pattern. Rather than using a relational DB like SQL or a key-value store like Cassandra, the canonical data store in a Kappa Architecture system is an append-only immutable log. From the log, data is streamed through a computational system and fed into auxiliary stores for serving.
Kappa Architecture is a simplification of Lambda Architecture. A Kappa Architecture system is like a Lambda Architecture system with the batch processing system removed. To replace batch processing, data is simply fed through the streaming system quickly.
Kappa Architecture revolutionizes database migrations and reorganizations: just delete your serving layer database and populate a new copy from the canonical store! Since there is no batch processing layer, only one set of code needs to be maintained.
The idea of Kappa Architecture was first described in an article by Jay Kreps from LinkedIn. Then came the talk “Turning the database inside out with Apache Samza” by Martin Kleppmann at 2014 StrangeLoop which inspired this web site.
An append-only immutable log store is the canonical store in a Kappa Architecture (or Lambda Architecture) system. Some log databases:
In Kappa Architecture, data is fed from the log store into a streaming computation system. Some distributed streaming systems:
The purpose of the serving layer is to provide optimized responses to queries. These databases aren’t used as canonical stores: at any point, you can wipe them and regenerate them from the canonical data store. Almost any database, in-memory or persistent, might be used in the serving layer. This also includes special-purpose databases, e.g. for full text search.
Strange Loop is a multi-disciplinary conference that brings together the developers and thinkers building tomorrow’s technology in fields such as emerging languages, alternative databases, concurrency, distributed systems, security, and the web.
About – Strange Loop (thestrangeloop.com)
Strange Loop was created in 2009 by software developer Alex Miller and is now run by a team of St. Louis-based friends and developers under Strange Loop LLC, a for-profit venture.
Some of our guiding principles:
No marketing. Keynotes are never sold to sponsors. The conference mailing lists are never sold or given to sponsors.
Tech, not process. Talks are in general code-heavy, not process-oriented (agile, testing, etc). There are many fine speakers, topics, and conferences in the process area. This is not one of them.
Technology stew. Interesting stuff happens when you get people from different areas in the same room. Strange Loop has a broad range of topics from academia, industry, and a touch of weirdness.
Insert With Indexes Enabled – Import Abandoned After An Hour
Insert With Indexes Disabled – Import and Index Rebuild Finished After 23 Minutes
Insert With Tab Lock and Indexes Disabled – 21 Minutesyou find details about that: Copying Data From One Table To Another – To Disable Indexes or Not To Disable Indexes, That’s the Question.
Apache Impala vs Presto: What are the differences?
What is Apache Impala? Real-time Query for Hadoop. Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
What is Presto? Distributed SQL Query Engine for Big Data. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
Apache Impala and Presto belong to „Big Data Tools“ category of the tech stack.
stackshare.io
https://stackshare.io/stackups/impala-vs-presto