Ubex (UBEX)

@Ubex_AI 8 hours, 46 minutes, 26 seconds ago

We released a guide which describes how to add Ubex tokens to your MetaMask wallet! https://t.co/U9LuF22aah

@Ubex_AI 1 day, 2 hours, 25 minutes, 45 seconds ago

ProBit event is prolonged until March 11! https://t.co/kAyliFmDKm

@Ubex_AI 3 days, 10 hours, 33 minutes, 24 seconds ago

Here is our new article about working with UBEX affiliates! https://t.co/xmW92TCacI

@Ubex_AI 6 days, 5 hours, 11 minutes, 10 seconds ago

Here is the full article which describes promising opportunities for Ubex on Asian market! https://t.co/aJRLIFFd1u

@Ubex_AI 1 week, 8 hours, 41 minutes, 58 seconds ago

The situation on the Asian continent regarding the regulation and formation of the blockchain and cryptocurrency market is becoming more favorable and welcoming for the development of the Ubex project’s activities.

@Ubex_AI 1 week, 8 hours, 42 minutes, 7 seconds ago

CoinPedia reports that South Korea prepares a tax break for blockchain companies. A JBC member explains what sparked interest in crypto as a way for Japan to shape the future of crypto. https://t.co/AjIHESI0Ma noted that new China's regulations will help to develop the industry.

@Ubex_AI 1 week, 1 day, 8 hours, 26 minutes, 55 seconds ago

Ubex token is now available for trading on ProBit exchange! Also available in KRW! https://t.co/SqyXPXNFBW

@Ubex_AI 1 week, 3 days, 3 hours, 47 minutes, 5 seconds ago

Read the full article collection and processing of statistical data using our Pixel Collector, Spark Streaming and Kinesis Streaming technologies here! https://t.co/wtBcnVXhg1

@Ubex_AI 1 week, 4 days, 4 hours, 11 minutes, 17 seconds ago

Collection And Processing Of Statistical Data. Part 2 One of our tasks is to update the data on the statistics of advertising campaigns (budget, impressions, clicks, etc.) as much as possible. To solve this problem, we have implemented the Lamda architecture using Apache Spark.

@Ubex_AI 1 week, 4 days, 4 hours, 11 minutes, 24 seconds ago

In fact, we have two data streams, the operational data and the statistical data. The first half reads incoming data and updates our internal statistics in near real-time mode. The second half launches the scheduled Spark SQL tasks that processes the accumulated raw data.