Resources and insights

Accelerating data transformation with AI to deliver insights

Bringing data teams together for the holidays

Get an exciting recap from Databricks Data + AI summit including Prophecy’s announcements around low-code data engineering and generative AI app development

Explore alternatives to Alteryx for modern data prep. Explore options and how Prophecy delivers scalability and openness to modernize data preparation.

Prophecy attended the CDOIQ Symposium last week in Boston.

Databricks held their annual Data+AI Summit in San Francisco last week at Moscone Center.

Bringing the power of low-code data engineering to the masses

For enterprises, navigating the cloud transition can be tricky. This describes the two paradigms for ETL in the cloud, and the factors to consider when choosing one.

Prophecy presented a complete, low-code data engineering product at the Data + AI Summit 2021. Hundreds attended our sessions on low-code Spark, low-code Airflow and column-level lineage. Here are the results from the polls we conducted there.

We discuss the two cloud data engineering architectures and advise which one to pick as you move your ETL to the cloud.

Parser combinators allow you to develop sophisticated parsers quickly and see how to use them.

Johnson & Johnson takes center stage with Prophecy

Join us in Orlando to witness the future of data transformation

Join our webinar and see why self-service is the future of data transformation, through unified visual & code technology

Join us in this exciting journey and discover how Prophecy's self-service solutions are revolutionizing the data landscape.

Top 10 reasons to visit Prophecy at Data + AI Summit 2023

In Part 1, we learned an easy way to troubleshoot a data pipeline using historical, read-only metadata. Now, I want to dig in and polish my individual spark data frames.

Join this webinar to learn how the Texas Rangers are creating a competitive advantage in professional baseball by using data analytics and AI to improve player performance and evaluate new talent.

Let's create a pipeline using Prophecy's visual, low-code interface for Spark.

A rising number of enterprises are adopting the lakehouse to unite their analytics projects and foster innovation on a shared, cloud-based platform.

Learn essential skills and techniques to empower non-technical data practitioners to build ETL pipelines without relying on data engineering.

Learn more about the evolution of data architectures, from traditional ETL through two-tier and modern data lakehouses. Explore how Prophecy can enable you to leverage the lakehouse by making common use cases like advanced merges and slowly changing dimensions significantly easier.

We're excited to be a part of Databricks Partner connect! Read this blog to learn how Databricks Partner Connect makes getting started with Prophecy simple via single-click signup and sign-in.

Prophecy has innovated in metadata management by merging code on git with metadata, making it code-first.

Prophecy computes column-level lineage from code for Spark code on Git.

Prophecy IDE enables visual and code developers to produce high-quality Spark code.

Customer discovery is essential to figuring out product market fit. Learn how to do it well and when to use it.

Introducing Prophecy.io — a high-performance, zero-compromise, cloud-native data engineering product powered by Spark for enterprise data engineering teams.