Organizations increasingly lean on data science to inform business decisions, but changes in the pipeline often trigger problems. Data-driven software (DDS) is an attempt to apply source control concepts over data. This article, though long and esoteric, shows you how to treat data as if it were code using DDS.
“We believe it is time to break down the barrier between code and data, making any piece of data instantly accessible as if it was a normal function call,” the author says. This is good food for thought regarding data architecture.
Learn the details of the many announcements made at the Snowflake Summit this year, including the release of enhancements around data programmability, data sharing, and global governance.
Snowflake also announced the ability to connect to the database via RestAPIs. This is a major convenience for developers so that they don’t have to worry about drivers or custom libraries. Snowflake is also cleaning up their admin interface and marking some of their programmability extensions as public preview. This is a good overview if you want a summary of the changes.
This article takes a closer look at the Snowflake announcements pertaining to the new data programmability features that make Snowflake more extensible and friendly to traditional application developers. Get an overview of Snowpark and Java functions, and find links to their documentation within the article, as well.
The Elastic Stack is a search engine. It lets you aggregate data from any source to search, analyze, and visualize it (close to) real time. It consists of three parts that form the letters of the ELK acronym:
Elasticsearch is the dominant open-source application for search applications. AWS has had a hosted version for ages, and Azure recently announced their hosted version. Traditionally the ELK stack has been used for IT monitoring. Logstash pulls server log files, Elasticsearch indexes them, and then Kibana can be used to show real-time stats on performance or outages.
Log analytics are not the only use case. Many websites use Elasticsearch to power search or filtering functionality. Elastic customers include big names like eBay, Verizon, Netflix, and Salesforce. These articles give you a comprehensive look at ELK.