OBRADA VELIKIH KOLIČINA METEOROLOŠKIH PODATAKA
Ključne reči:
Velike količine podataka, Obrada podataka, Klaud
Apstrakt
U ovom radu prezentujemo moderan pristup za obradu velikih količina podataka koristeći tehnologije računarstva u oblaku. U ovom radu obradu radimo nad meteorološkim podacima, ali se principi mogu primeniti na različite domene.
Reference
[1] Azure functions - https://learn.microsoft.com/en-us/azure/azure-functions/
[2] Azure data lake gen 2 - https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction
[3] Azure databricks - https://learn.microsoft.com/en-us/azure/databricks/
[4] SQL Database - https://www.programiz.com/sql/database-introduction
[5] Power BI - https://learn.microsoft.com/en-us/power-bi/
[6] Apache Flink - https://nightlies.apache.org/flink/flink-docs-stable/
[7] Apache Spark ( Spark streaming ) - https://spark.apache.org/docs/latest/streaming-programming-guide.html
[8] Apache Spark - https://spark.apache.org/docs/3.4.1/
[2] Azure data lake gen 2 - https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction
[3] Azure databricks - https://learn.microsoft.com/en-us/azure/databricks/
[4] SQL Database - https://www.programiz.com/sql/database-introduction
[5] Power BI - https://learn.microsoft.com/en-us/power-bi/
[6] Apache Flink - https://nightlies.apache.org/flink/flink-docs-stable/
[7] Apache Spark ( Spark streaming ) - https://spark.apache.org/docs/latest/streaming-programming-guide.html
[8] Apache Spark - https://spark.apache.org/docs/3.4.1/
Objavljeno
2024-03-05
Sekcija
Elektrotehničko i računarsko inženjerstvo
