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56 results for “azuredataexplorer”

  1. 🚀 Weekly Blog Post Highlights! 📚

    🤝Discover the power of in building a self-serve analytics platform.

    🌐 Unlock valuable insights into customer lifetime value (CLV) using the Lakehouse architecture.

    🎯 Databricks acquire MosaicML to enhance capabilities for enterprises.

    🤝 Dive into the top sessions from Summit London 2023!

    📊 ACERTUS & Confluent to provide real-time order notifications.

    🚚 Don't miss Data Saturday Durban

    👉 nielsberglund.com/post/2023-07

  2. 🌟 Exciting discoveries in this week's blog post! 🌟

    🔍 Azure Data Explorer & Kusto Detective Academy

    📚 GPT4Readability, for creating README.md files using GPT-3.5 & GPT-4.

    🚀 Uncover the integration of , Debezium, and BentoML

    📊 RisingWave vs. Flink

    🎉 Data Saturday Durban 2023 is just around the corner!

    Read all about it here 👉 nielsberglund.com/post/2023-07

  3. Ingest data from to @AzDataExplorer
    Day60

    () Logstash plugin enables you to process events from Logstash into an Azure Data Explorer database for later analysis.

    Learn More
    [1] learn.microsoft.com/en-us/azur
    [2] learn.microsoft.com/en-us/azur

  4. Ingest data in @AzDataExplorer using Output Plugin
    Day58

    output supports both streaming and queued ingestion of data from many types of telegraf input plugins into .

    [1] lnkd.in/dSPGMmRJ
    [2] learn.microsoft.com/en-us/azur

  5. Right Anti Join in @AzDataExplorer
    Day50

    Right anti-join returns all records from the right side that don't match any record from the left side.

    Try: lnkd.in/d98BhDNS
    Learn More: lnkd.in/dKCZpyEe

  6. Left Anti join in @AzDataExplorer
    Day49

    Left anti-join returns all records from the left side that don't match any record from the right side.

    Try: lnkd.in/dmCi_th4
    Learn More: lnkd.in/dXg9xTB7

  7. Create a dashboard from a query in @AzDataExplorer
    Day43

    Dashboards are an excellent way to communicate data science insights visually. You can pin a query as a visual tile in ADX KWE

    Learn More: lnkd.in/dH4r9NWJ

  8. in @AzDataExplorer
    Day40

    The time chart visual is similar to a line chart except the x-axis is always time.

    Syntax
    T | render timechart [with ( PropertyName = PropertyValue [, ...] )]

    learn.microsoft.com/en-us/azur

  9. Checkout KQL Search: kqlsearch.com
    A aggregator for KQL Queries that are shared on GitHub by @UgurKocDe


    ---
    RT @UgurKocDe
    I also want to thank the community members that share KQL Learning materials and queries with the Community:
    - @reprise_99
    - @rodtrent
    - @kustonaut
    - @BertJanCyber
    - @castello_johnny
    - @ep3p
    - @AzDataExplorer
    twitter.com/UgurKocDe/status/1

  10. Scatter chart in @AzDataExplorer
    Day37

    Scatter plots are used to observe relationships between variables. The scatter chart visual can also be used in the context of Geospatial visualizations.

    More: learn.microsoft.com/en-us/azur

  11. in @AzDataExplorer
    Day35

    The area chart visual shows a time-series relationship. Area charts are ideal for indicating the change among different data sets.

    Learn More: learn.microsoft.com/en-us/azur

  12. Visualize query results within seconds in @AzDataExplorer using render operator
    Day31

    Learn More:

    Learn Documentation: lnkd.in/dAhzUbF9

  13. Round values down in @AzDataExplorer using bin function.
    Day30

    It returns the nearest multiple of roundTo below value. Null values, a null bin size, or a negative bin size will result in null.

    More: learn.microsoft.com/en-us/azur

  14. Aggregate contents of an input table in @AzDataExplorer using summarize operator.

    Day29

    The summarize operator produces a table that aggregates the content of the input table.

    Learn more: lnkd.in/dhQr2T_Q

  15. Data Analysis in @azuredataexplorer using

    In this learning path, you will learn through 6 training modules, how to analyze data in () using the Query Language ().

    learn.microsoft.com/en-us/trai

    (Reshared from another site 😀)

  16. Storing events is easy. Turning them into actionable insights in real-time? That’s where ADX shines. Follow along with a simple demo to ingest data in real-time ready for querying.
    #lowlatencyanalytics #azuredataexplorer #adx #eventanalytics
    snape.me/2025/12/event-streams

  17. Storing events is easy. Turning them into actionable insights in real-time? That’s where ADX shines. Follow along with a simple demo to ingest data in real-time ready for querying.
    #lowlatencyanalytics #azuredataexplorer #adx #eventanalytics
    snape.me/2025/12/event-streams

  18. Discover why Azure Data Explorer (ADX) outperforms Cosmos DB for event stream analytics. Learn why ADX should be your default choice for real-time insights.
    snape.me/2025/11/adx-hidden-ge
    #lowlatencyanalytics #azuredataexplorer #eventanalytics

  19. Discover why Azure Data Explorer (ADX) outperforms Cosmos DB for event stream analytics. Learn why ADX should be your default choice for real-time insights.
    snape.me/2025/11/adx-hidden-ge
    #lowlatencyanalytics #azuredataexplorer #eventanalytics

  20. Discover why Azure Data Explorer (ADX) outperforms Cosmos DB for event stream analytics. Learn why ADX should be your default choice for real-time insights.
    snape.me/2025/11/adx-hidden-ge
    #lowlatencyanalytics #azuredataexplorer #eventanalytics

  21. New post: "Cross-Platform Compatibility Made Easy with Multi-Platform Docker Images: Azure Data Explorer Sink Connector & Kafka Connect"

    Docker has revolutionized the way we package and deploy software applications.

    However, it's challenging to maintain a single image that can work across multiple platforms.

    This blog post explores the steps required to build and deploy multi-platform Docker images.

    nielsberglund.com/post/2023-04

  22. New post: "Develop a Real-Time Leaderboard Using Kafka and Azure Data Explorer - II"

    This is the third post about using Kafka and @azuredataexplorer (ADX) to develop a real-time leaderboard for online gaming.

    In this post, you will see more about ingesting data into ADX and some "cool stuff" related to that. Specifically, what to do if you need to update/transform the data you ingest.

    nielsberglund.com/post/2023-04

  23. New post: "Interesting Stuff - Week 11, 2023".

    This week:

    * Learn all about @azuredataexplorer and , thanks to Akshay Dixit.
    * I finally finished the second post in the Leaderboard, Kafka, and ADX series
    * ChatGPT and dialogue prompting. Very interesting
    * An old colleague of mine -Ted Neward - ponders the impact of AI on developers.
    * Where has all the Big Data gone?

    Read all about it:

    nielsberglund.com/post/2023-03

  24. Storing events is easy. Turning them into actionable insights in real-time? That’s where ADX shines. Follow along with a simple demo to ingest data in real-time ready for querying.
    #lowlatencyanalytics #azuredataexplorer #adx #eventanalytics
    snape.me/2025/12/event-streams

  25. New post: "Interesting Stuff - Week 19, 2023".

    This week:

    * @azuredataexplorer as Vector DB! How cool is that!
    * Rust Polars; high-performance data analysis.
    * Langchain LLM with Streamlit and Pinecone.
    * PandasAI, the love child between ChatGPT and Pandas.
    * Hubert's next post about the real-time streaming ecosystem. Awesome!
    * Real-time sentiment analysis using Kafka and Spark Streaming.

    Read all about it:

    nielsberglund.com/post/2023-05

  26. New post: "Interesting Stuff - Week 13, 2023".

    This week:

    * Cool post about Polars vs Pandas.
    * How to ingest data into @azuredataexplorer. Must read!
    * How do you do canary releases for data streaming?
    * Data streaming and AI/ML - very interesting

    Read all about it:

    nielsberglund.com/post/2023-04