Resources and insights

Discover efficient ways to identify and dismantle data silos in your organization, improving collaboration and boosting innovation. Learn strategies like centralizing data, promoting cultural change, and leveraging AI tools.

Learn how data ingestion transforms scattered information into powerful insights. This comprehensive guide covers ingestion types, tools, and best practices to overcome common challenges in your data strategy.

Explore best practices and modern examples in data pipeline strategy. Learn to boost business success with scalable and reliable data solutions.

Legacy ETL pipelines can't handle today's AI demands. This guide explains modern approaches, compares ETL vs. ELT architectures, and provides a practical roadmap for modernizing your data transformation strategy.

Explore top ETL tool considerations for seamless data integration, ensuring scalability, security, and cost-effectiveness.

Our new survey shows that data leaders are embracing GenAI and bracing for new challenges

Join the Prophecy team in Orlando to see how genAI is reshaping data teams

Discover how modern ETL powers data extraction, transformation, and loading. Gain insights on real-time processing, cloud-native tools, and business value.

Unlock your career potential with essential data engineering skills. Discover 12 must-have abilities that will transform your professional journey and set you apart in the field.

Discover the power of ELT: transform data faster and more flexibly. Learn how this modern approach enhances data integration for improved analytics and insights.

Discover 7 transformative ways AI-powered tools are enhancing ETL, turning routine tasks into business advantages for data leaders.

Explore how ELT (Extract, Load, Transform) revolutionizes data integration, enabling real-time insights and cost savings with cloud efficiency. Discover more now!

The clock strikes noon on Shadow IT

Bringing data teams together for the holidays

Accelerating data transformation with AI to deliver insights

Prophecy team was out in force at one of the data world’s biggest events

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

Discover how Prophecy revolutionizes your data operations.

Prophecy attended the CDOIQ Symposium last week in Boston.

Maximize productivity without the complexity.

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

Prophecy’s booth will be hopping with book signings, Copilots, and the latest on data and AI

How copilots will change data transformation, and in the process evolve beyond conversational interfaces

Prophecy brings championship winning data, critical healthcare data, and AI for data transformation to DAIS 2024

We’ve written before about the challenge of having too few data engineers. There is another problem. 

Inaugural course addresses the growing data engineering skills gap through agile, self-paced training

Johnson & Johnson takes center stage with Prophecy

Struggling with data transformation? Hiring more data engineers is not the answer. Learn how low-code data transformation unlocks the full potential of your users and your data.

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.

With the release of Prophecy 3.2, we are thrilled to announce two game-changing capabilities: Prophecy Package Builder and Prophecy Package Hub.

Discover how to build generative AI applications leveraging enterprise data. Learn to identify use cases, choose effective models, and navigate challenges with our comprehensive guide.

In this blog, we'll take a look at the differences between prompt engineering and fine-tuning, and provide insights into each approach

Companies can train small, domain-specific language models in a matter of hours or days rather than weeks or months provided they have governed and accurate training inputs. 

Stop getting stuck managing SQL files, start making progress for your business today

Everything you need to know to accelerate ETL modernization

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

Build powerful gen AI applications on private enterprise data in just hours

Unlock the power of generative AI in data engineering with Prophecy’s Data Copilot.

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

Empowering business data users to quickly and easily build scalable data pipelines on the lakehouse

By modernizing the ETL process on Databricks, Prophecy can provide organizations with a more agile, scalable, and cost-effective solution for managing their data.

Learn key steps to follow, how to define the ETL pipeline using Spark APIs and dataframes, and best practices for testing and optimizing pipelines for maximum efficiency

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

Learn how the Texas Rangers use Prophecy and Databricks Lakehouse as the foundation of their data mesh architecture to gain a competitive advantage with low-code data engineering.

Leverage Prophecy’s low-code approach and integration with dbt Core to build SQL data pipelines without compromising on engineering best practices

Discover how Prophecy 3.0 arms all data users with low-code SQL, so they can quickly and easily build scalable data pipelines, resulting in highly impactful data products.

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

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

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.

Let's get started with PySpark using a visual interface to generate open-source Spark code.