#data-storage

#data-storage

You've deployed LoRaWAN sensors. They're transmitting to The Things Network perfectly. But here's where most people get stuck: turning that raw sensor data into actual dashboards you can use. If you've searched for "The Things Network Grafana visualization" or "how to store TTN data," you've probably found tutorials that require setting up InfluxDB, configuring Telegraf with MQTT, wrestling with Docker containers, or paying for Azure IoT Hub. Hours of configuration, multiple moving parts that can break, and the constant burden of maintenance.

Palantir Technologies ( ) has ridden the artificial intelligence (AI) wave with relentless force through 2025, delivering data analytics platforms that governments and enterprises can't get enough of. While Nvidia ( NASDAQ:NVDA ) has faltered amid chip supply shortages and valuation jitters, Palantir's momentum shows no signs of slowing - its shares climbed nearly 123% this year. It's one of the S&P 500's top performers, a testament to AI's sticky demand for actionable insights.

"Media requires a lot of storage, and storing and transferring large amounts of data is expensive," Signal's VP of engineering, Jim O'Leary, says in a blog post. "As a nonprofit that refuses to collect or sell your data, Signal needs to cover those costs differently than other tech organizations that offer similar products but support themselves by selling ads and monetizing data."

"Organisations navigating their way through the AI/ML era need to reconfigure their storage architectures to keep up, and LTO tape technology is an essential piece of the puzzle."

"I did once open a box to find a moth had nested inside and feasted on the paper... the tape was too fragile to handle and essentially useless."

Mozilla is shutting down Pocket, and I am not amused. I'm also not a freeloader demanding support for a free account. Over the years, my wife and I have paid almost $1,000 to Mozilla's bookmarking service for secure article storage.

We’ve learned a lot about handling extremely large and extremely high-speed, unstructured data workloads, particularly in media and entertainment, where the amount of data tends to be drastically larger than what you'd see in an enterprise.