データベース技術:DataBase Technology Overview of database technology and examples of implementation in various languages
Machine Learning Artificial Intelligence Search Technology Algorithm Digital Transformation Mathematics Algorithm Progra...
データベース技術:DataBase Technology
データベース技術:DataBase Technology IOT技術:IOT Technology Protected: Leveraging Apache Spark for Distributed Data Processing – Developing and Executing Applications
Leveraging Apache Spark to enable distributed data processing for digital transformation, artificial intelligence, and machine learning tasks -Application development and execution (forced termination, yarn-client mode, yarn-cluster mode, YARN, and YARN) management commands, cluster, python, Clojure, Shell, AWS, Glue, sparkplug, spark-shell, spark-submit, Nodemanager, HDFS, Spark applications, Scala, sbt, plugin.sbt, build.sbt build.sbt, build, sbt-assembly plugin, JAR file)
Clojure Use of ElasticStash for monitoring system operations, including microservices
Leveraging ElasticStash for system operations monitoring, including microservices leveraged for digital transformation artificial intelligence, and machine learning tasks Riemann, rollup, throttle structure, KafKa plugin, UTC, timbre LogStash, log4j, tools.logging, structured logging, common log formats, visualization features, dashboards, Kibana, pipeline, UDP, Collectd, RRD, stdin, stdout, ELK Stack, Elastic Stack Apache Kafka
IOT技術:IOT Technology Protected: Apache Spark’s processing model for distributed data processing
Used for digital transformation artificial intelligence and machine learning tasks Apache Spark's processing model (Executor, Task, Scheduler, Driver Program, Master Node, Worker Node, Spark Standalone, Mesos, Hadoop, HFDS, YARN, Partitions, RDD, Transformations, Actions, Resillient Distributed Dataset)
Clojure Database construction for microservices using next generation DB Datomic
Building databases with Clojure for microservices using Datomic, the next-generation DB used for digital transformation, artificial intelligence, and machine learning tasks (AWS, five-tuple, immutable, immutable, Datalog, Transactor, Peer Server).
web技術:web technology Protected: Microservices Architecture
The ideal enterprise system would be tightly integrated and provide all business functions as a single unit optimized for a particular technology stack and hardware. Such monolithic systems often become more complex over time and difficult to understand as a single unit by a single team. Domain-driven design advocates decomposing such systems into smaller modular components and assigning them to teams that focus on a single business capability in a limited context.
web技術:web technology Extraction of tabular data from the Web and documents and semantic annotation (SemTab) learning
Extraction of tabular data from the Web and documents and semantic annotation learning, one of the data extraction tasks utilized in digital transformation, artificial intelligence, and machine learning tasks, with a focus on the ISWC workshop SemTab
Clojure Microservices system using Clojure
Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Tec...
IOT技術:IOT Technology Microservices and Efficient Application Development and Multi-Agent Systems
Microservices and efficient development and implementation in multi-agent systems and Clojure for digital transformation, artificial intelligence and machine learning tasks
アルゴリズム:Algorithms AI Researchers and Haiku Poets Why Do People Create Haiku?
Automatic Haiku Generation Using Deep Learning, Intelligence, and World Acknowledgment