New insightsoftware Platform connects financial analytics, reporting, and performance management solutions to share data across applications, solve business problems faster, and do more with less.

Kafka adoption is growing fast. Very fast. At Lenses, we’re pushing out new features to increase developer productivity, reduce manual effort & improve the cost & hygiene of operating your Kafka platform. Only a few weeks since Lenses 5.1, yet here we are again with more goodies in our release 5.2.

A continuation of our series on ASCII files; how to ingest data from EDI files.

Traditional ETL processes are time-consuming and complicated to create and manage, making it difficult for businesses and developers to empower their apps with real-time data analytics capabilities. This is where a headless ETL platform can help. As a new approach to data integration, headless ETL solutions maximize data agility through a single API.

Self-service analytics, also known as self-service business intelligence (BI), means different things to different people. For some, it might just mean an interactive report which lets them drill up and down a hierarchy or maybe switch to a different metric. For others, it might mean complete freedom to access anything in the company’s data warehouse in order to generate strategic insight.

Every organization aiming to bring AI to the center of their business and processes strives to shorten machine learning development cycles. Even data science teams with robust MLOps practices struggle with an ecosystem that is in a constant state of change and infrastructure that is itself evolving. Of course, no single MLOps stack works for every use case or team, and the scope of individual tools and platforms vary greatly.

Features like prebuilt data models, version control and integrated scheduling make data transformation faster and more powerful.