CyberSantana 💻

Perito Forense e Pesquisador em tecnologia NFC, RFID, Bluetooth e Wi-Fi.
Busco resposta fora da caixa, com um olhar analítico e crítico do problema.

[CyberSantana 💻 @ccasantos1]

@M5Stack 21 and proposed add SD card

[CyberSantana 💻 @ccasantos1]

@M5Stack Right 👍🏽

[CyberSantana 💻 @ccasantos1]

Dá pra ler teu cartão sem tu nem tirar da
carteira. E não, não precisa ser hacker.

Demonstração + solução de R$ 2 que resolve,
no Reels: https://t.co/hwc6Rt8jxs

#cibersegurança #NFC

[M5Stack @M5Stack]

CardputerZero and Cardputer-Adv may look similar, but they are built for different workflows.

CardputerZero is a pocket Linux computer powered by @Raspberry_Pi CM0, designed for terminal tools, scripts, network tasks, HDMI output, USB peripherals, Ethernet, and camera-based projects.

Cardputer-Adv is a flexible ESP32-S3 embedded controller, ideal for IoT prototyping, sensors, control, and hardware experiments.

Same footprint. Different purpose.

🔗 Back CardputerZero on Kickstarter: https://t.co/qd53VJQx4O

#M5Stack #CardputerZero #Kickstarter #RaspberryPi #Linux #ESP32

[M5Stack @M5Stack]

Boot Logo for CardputerZero

[CyberSantana 💻 @ccasantos1]

@L_Shaf In running, very cool

[L Shaf @L_Shaf]

You can generate totp from UniGeek now!!

[L Shaf @L_Shaf]

Hoo I like my new website :D

[Alex Xu @alexxubyte]

Data Warehouse vs Data Lake vs Data Mesh

Storing data is the easy part. Deciding where and how to organize it is the real challenge.

A data warehouse is the traditional approach. It cleans and structures data before storing it. Queries run fast, and reports stay consistent. But adding a new data source takes effort because everything has to fit the schema first.

A data lake takes the opposite approach. It stores everything raw, like databases, logs, images, and video. Process it when you need it. The flexibility is great, but if rules around naming, formatting, and ownership are not properly set, you end up with duplicate, outdated, and undocumented data that is hard to manage.

Data mesh shifts data ownership from a central team to individual departments. For example, sales publishes sales data, and finance publishes finance data. Shared standards keep things compatible across teams.

It works well in larger organizations. But it requires every team to have the right people and processes to manage their data quality, documentation, and access, which is a challenge.

In practice, many companies use more than one approach. They'll use a warehouse for dashboards and reporting, a lake for machine learning workloads and start applying mesh principles as teams scale.

[CyberSantana 💻 @ccasantos1]

@L_Shaf Thanks man

[HomeMadeGarbage @H0meMadeGarbage]

遠隔ロボットコントローラ
動作のREC＆PLAYができるようになった

#とってもロボットくん
#M5Stack #M5StickC #ESPnow
#ロボティクス

[CyberSantana 💻 @ccasantos1]

@erickwendel_ @akinncar Mandou a real

[M5Stack @M5Stack]

@arduino visited M5Stack.

[M5Stack @M5Stack]

Manufacturing Line upgrade ing.

[Alex Xu @alexxubyte]

What is MCP?

[M5Stack @M5Stack]

NFC on PaperMONO

[LILYGO @lilygo9]

The T-Glass V2 adds a headband-style wearing option.

[LILYGO @lilygo9]

T-Deck V2 Preview. Includes integrated AM and FM functionality and a headphone jack.