Ontology Based Data Access (ODBA), generative AI and GNNs
Ontology Based Data Access(ODBA)について
Ontology Based Data Access (OBDA) is a method that allows queries to b...
データベース技術:DataBase Technology
System design and decision-making systems
The Science of the Artificial and Herbert A. SimonThe Science of the Artificial and Herbert A. Simon
The ...
Overview of Vector Database
Overview of Vector Database
A vector database is a type of database that will primarily store vector data a...
Application and implementation of ElasticSearch and machine learning for multimodal search
Multimodal Search
Multimodal search will integrate several different information sources and data modali...
Database Technology
Database Technology
Database technology is a technology for organizing, managing, manipulating, and storing...
Overview of cloud computing and AWS and various implementation patterns
What is Cloud Computing?
Cloud computing is a computing model that provides resources and services via the Inter...
Overview of database technology and examples of implementation in various languages
Overview of Database Technology
Database technology refers to technology for efficiently managing, storing,...
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)
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
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)