We love working in data-intensive environments. There, I said it... As one may assume, that requires general knowledge about distributed systems and some of the essential technologies like Apache Kafka, Apache Cassandra, Apache Spark, Elasticsearch, etc. All of these technologies are the core components
The impact of AI on the global economy is unquestionable. The AI investments are increasing worldwide, while some experts think it will increase even more. In the FinTech industry, the key areas where AI can cause the highest impact are personalization and automation of decision-making processes.
Reinforcement learning in today's order of things when artificial intelligence is on the rise is a favorable field for new research. One of the problems that were tried to be solved in the last year or two is the problem of environmental control or navigation.
I was a software engineer at that time, mostly working with Java. But I enjoyed listening to DevOps people having problems. They all loved me because they thought I also received alerts in the middle of the night; I didn't.
Here I will present the Data Lake architecture, which introduces an interesting twist on storing and processing data. Data Lake is not a revolution in the big data world, a one-size-fits-all solution, but a simple evolutionary step in data processing, which naturally came to be.
Aspiring Cassandra engineer-apprentice was fiddling with Cassandra cluster trying to fetch the data he needed. For a while, he was receiving strange responses from the server. But after hacking his way through the CQL, he finally received the response he was looking for. He felt so proud...