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    Scaling to Zero to Reduce Your Cloud Spend

    Sometimes you need to take a vacation, save money, and scale down to zero.

    Franz Knupfer

    Published:

    Jul 02, 2024

    4 minute read
    ,
  • Query Level Up

    Using WITH ROLLUP to Efficiently Calculate SQL Percentages

    Best Practices
    Use Cases

    Learn how to use SQL WITH ROLLUP to most efficiently calculate percentages, saving you time and compute resources.

    Franz Knupfer

    |

    Oct 30, 2023

    5 minute read
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  • Convert Elastic Queries to SQL

    Translating Elastic Queries to SQL With KETCHUP

    Engineering
    Use Cases

    Learn about KETCHUP, an open source tool for translating Elastic queries to SQL and using Kibana with observability tools other than Elastic.

    Alex Cruise

    |

    Oct 24, 2023

    5 minute read
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  • Transforming Real-Time Streaming Data at Scale

    Best Practices

    Learn about the downsides of ELT, why you should transform data before storage, and how Hydrolix transforms real-time data at scale.

    Franz Knupfer

    |

    Oct 16, 2023

    7 minute read
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  • Why All Your Data Storage Should Be Hot

    Best Practices

    Learn how Hydrolix offers hot storage performance at the cost of cold storage.

    Franz Knupfer

    |

    Oct 9, 2023

    9 minute read
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  • Best Practices for Data Transformation

    Best Practices

    Learn best practices for data transformation, including tips on standardizing, enriching and optimizing your data.

    Franz Knupfer

    |

    Oct 2, 2023

    10 minute read
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  • Transform Your Data With Hydrolix

    Engineering
    Product

    Learn how to write transforms that give you maximum flexibility for processing, enriching, and standardizing your log data.

    Franz Knupfer

    |

    Sep 25, 2023

    7 minute read
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  • Latest N Rows Optimized: Crafting Efficiency with the Hydrolix Catalog

    Best Practices
    Engineering
    Use Cases

    Learn how to write a blazing fast query to get the latest N rows from time series data—and how the Hydrolix catalog works under the…

    Federico Rodriguez

    |

    Sep 20, 2023

    7 minute read
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  • Analyze your Hydrolix Data with Apache Spark

    Engineering
    Product

    Learn how to use the Hydrolix Spark Connector with Databricks to analyze your log data with Apache Spark tools like GraphX and MLLib.

    Alex Cruise

    |

    Sep 11, 2023

    5 minute read
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  • Scaling Query Performance With Big Data

    Best Practices
    Engineering
    Use Cases

    Achieving consistent, low latency query performance in analytic systems can be challenging when working with a mix of workloads and varying numbers of concurrent queries….

    Dan Sullivan

    |

    Jul 3, 2023

    7 minute read
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