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Many industrial operators find themselves amid yet another industrial revolution. Deeper insight through artificial intelligence (AI) and machine learning (ML) integrations characterize this fourth wave (or Industry 4.0). Data is no longer just a record occupying server space. It’s alive and providing value. Real-time insights work in tandem with historical records, painting a complete picture of the lifespan of a piece of machinery and/or its components.

In modern software applications, time-stamped data is a common requirement. As a software developer or database administrator, you know that formatting dates is crucial for ensuring data accuracy and consistency. But with so many date formats and SQL engines out there, it can be challenging to find the right way to format dates for your specific needs.

SQL provides a date type that developers can use to store date values. Also, to make working with dates easier, SQL has several date functions for retrieving, formatting, and manipulating dates. In this post, you’ll learn about some SQL date functions and how to use them.

Our product and engineering teams at Aiven have been busy! Find out what was released in the first quarter of 2023.

In today’s business landscape, predictive maintenance has emerged as a critical strategy to optimize equipment performance, reduce downtime, and minimize maintenance costs. In this article you will learn about some tools that can be used to simplify the complexity involved with implementing a successful predictive maintenance program.

There is a lot of confusion surrounding the terms "data science" and "data analytics." Some people use them interchangeably, others see them as completely different concepts. In this blog post, we'll demystify the differences between these two terms. We will start by defining each term, followed by the key differences between them, similarities, roles each of them support, as well as uses cases. Read on for a detailed comparison!

In today's world, where data plays a huge role in business success, companies must manage and analyze large amounts of information. Data warehousing has become a critical part of business operations to handle this challenge. Snowflake, a top cloud data warehousing platform, provides a scalable, secure, and flexible solution to help businesses adapt to their ever-changing data needs.

In March of 2022, Elastic decided to close source the most popular log management and analytics solution in the world: the ELK Stack. Millions chose ELK as their logging platform and made it the heart of their troubleshooting operations because it was open source. And suddenly, it wasn’t – leaving many looking for other options. Shortly after, AWS launched OpenSearch and OpenSearch Dashboards as open source alternatives to Elasticsearch and Kibana, respectively.