Operations | Monitoring | ITSM | DevOps | Cloud

Elastic Enterprise Search 8.5: Machine learning for intuitive search experiences

The latest release of Elastic Enterprise Search introduces a suite of new features and capabilities for building world-class search experiences for your mission-critical applications, websites, online stores, or anything in-between: With this release, building search experiences for your ecommerce retail site, enhancing your employees’ ability to access relevant HR documentation, or building a custom application to quickly draw analytic insights can draw on the power of using the trained model of

How to Connect Alteryx to Snowflake

The CData ODBC Driver for Snowflake provides ODBC-compliant access to real-time data from Snowflake, allowing interaction with Snowflake data in a broad range of business intelligence, reporting, and extract, transform and load (ETL) applications, as well as directly using conventional SQL queries. Because of the advanced data processing included within the driver, the CData ODBC drivers provide unrivaled speed when working with live Snowflake data in Alteryx Designer.

The Benefits of Data Observability to SMBs and How to Unlock Them

Data observability is a relatively new discipline in the fields of data engineering and data management. While many are familiar with the longstanding concepts of observability and monitoring in enterprise IT networks and infrastructure, data observability has only really come into the spotlight in the last two years. However, it has managed to turn a lot of heads in that short time.

Getting Started with Python and Geo-Temporal Analysis

This article was originally published in The New Stack and is reposted here with permission. Working with geo-temporal data can be difficult. In addition to the challenges often associated with time-series analysis, like large volumes of data that you want real-time access to, working with latitude and longitude often involves trigonometry because you have to account for the curvature of the Earth. That’s computationally expensive. It can drive costs up and slow down programs.