* Cantinho Satkeys

Refresh History
  • nsama71: uhf
    11 de Maio de 2026, 05:57
  • FELISCUNHA: ghyt74  votos de um santo domingo para todo o auditório  4tj97u<z
    10 de Maio de 2026, 11:02
  • j.s.: bom fim de semana   4tj97u<z
    09 de Maio de 2026, 20:41
  • j.s.: try65hytr a todos  49E09B4F 49E09B4F
    09 de Maio de 2026, 20:41
  • FELISCUNHA: ghyt74  Pessoal  49E09B4F
    08 de Maio de 2026, 11:39
  • JP: try65hytr A Todos  4tj97u<z 2dgh8i k7y8j0 yu7gh8
    08 de Maio de 2026, 05:50
  • JP: try65hytr Pessoal  4tj97u<z 2dgh8i k7y8j0
    07 de Maio de 2026, 05:23
  • j.s.: dgtgtr a todos  49E09B4F 49E09B4F
    05 de Maio de 2026, 16:34
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    04 de Maio de 2026, 11:28
  • cereal killa: forever   2Slb& 2Slb&
    03 de Maio de 2026, 22:19
  • henrike: 2Slb&
    03 de Maio de 2026, 14:17
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  4Fcp&
    03 de Maio de 2026, 11:23
  • cereal killa: dgtgtr pessoal  wwd46l0' 4tj97u<z
    01 de Maio de 2026, 12:22
  • JP: try65hytr A Todos  4tj97u<z classic 2dgh8i k7y8j0
    01 de Maio de 2026, 05:05
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    30 de Abril de 2026, 11:12
  • JP: try65hytr Pessoal 4tj97u<z k7y8j0 yu7gh8
    30 de Abril de 2026, 05:52
  • j.s.: dgtgtr a todos  49E09B4F
    28 de Abril de 2026, 16:09
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    24 de Abril de 2026, 11:01
  • JP: try65hytr A Todos  k7y8j0 classic
    24 de Abril de 2026, 04:11
  • JP: try65hytr Pessoal  4tj97u<z 2dgh8i k7y8j0 yu7gh8
    23 de Abril de 2026, 05:46

Autor Tópico: Explore Time-Series Data With Kusto Query Language (kql)  (Lida 186 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Sub-Administrador
  • ****
  • Mensagens: 132140
  • Karma: +0/-0
Explore Time-Series Data With Kusto Query Language (kql)
« em: 11 de Outubro de 2025, 14:29 »

Explore Time-Series Data With Kusto Query Language (kql)
Released 10/2025
By Matt Stenzel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 57m | Size: 141 MB


Learn to wrangle time series data with practical use cases. This course will teach you how to utilize time-series data with KQL to analyze trends, uncover patterns, and detect anomalies.
Have you ever wondered how data can predict the next big storm? Dive into real-world weather events and discover the power of KQL to reveal patterns, spot anomalies, and forecast impacts-turning raw storm data into actionable insights. In this course, Explore Time-series Data with Kusto Query Language (KQL), you'll learn how to use time-series data with KQL to analyze trends, uncover patterns, and detect anomalies. First, you'll explore how to use binning and aggregating functions along with time-series functions and visualizations to find insights from your data. Next, you'll discover how to use time-series functions like make-series and mv-expand for advanced analytics. Finally, you'll learn how to use functions like series_decompose and series_outliers to find patterns and anomalies in practical data. When you're finished with this course, you'll have the skills and knowledge of exploring time-series data with KQL needed to gain valuable insights and take intelligent actions from your data.

download
Citar
https://rapidgator.net/file/12c93175d5918e17413af462050ff9b5/Explore_Time-series_Data_with_Kusto_Query_Language_(KQL)_By_Matt_Stenzel.rar.html

Citar
https://k2s.cc/file/6197409faf8da/Explore_Time-series_Data_with_Kusto_Query_Language_%28KQL%29_By_Matt_Stenzel.rar