Data Engineering Podcast

Low Code And High Quality Data Engineering For The Whole Organization With Prophecy


Listen Later

Summary

There is a wealth of tools and systems available for processing data, but the user experience of integrating them and building workflows is still lacking. This is particularly important in large and complex organizations where domain knowledge and context is paramount and there may not be access to engineers for codifying that expertise. Raj Bains founded Prophecy to address this need by creating a UI first platform for building and executing data engineering workflows that orchestrates Airflow and Spark. Rather than locking your business logic into a proprietary storage layer and only exposing it through a drag-and-drop editor Prophecy synchronizes all of your jobs with source control, allowing an easy bi-directional interaction between code first and no-code experiences. In this episode he shares his motivations for creating Prophecy, how he is leveraging the magic of compilers to translate between UI and code oriented representations of logic, and the organizational benefits of having a cohesive experience designed to bring business users and domain experts into the same platform as data engineers and analysts.

Announcements
  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
  • You listen to this show to learn about all of the latest tools, patterns, and practices that power data engineering projects across every domain. Now there’s a book that captures the foundational lessons and principles that underly everything that you hear about here. I’m happy to announce I collected wisdom from the community to help you in your journey as a data engineer and worked with O’Reilly to publish it as 97 Things Every Data Engineer Should Know. Go to dataengineeringpodcast.com/97things today to get your copy!
  • When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show!
  • Are you bored with writing scripts to move data into SaaS tools like Salesforce, Marketo, or Facebook Ads? Hightouch is the easiest way to sync data into the platforms that your business teams rely on. The data you’re looking for is already in your data warehouse and BI tools. Connect your warehouse to Hightouch, paste a SQL query, and use their visual mapper to specify how data should appear in your SaaS systems. No more scripts, just SQL. Supercharge your business teams with customer data using Hightouch for Reverse ETL today. Get started for free at dataengineeringpodcast.com/hightouch.
  • Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription
  • Your host is Tobias Macey and today I’m interviewing Raj Bains about Prophecy, a low-code data engineering platform built on Spark and Airflow
  • Interview
    • Introduction
    • How did you get involved in the area of data management?
    • Can you describe what you are building at Prophecy and the story behind it?
    • There are a huge number of tools and recommended architectures for every variety of data need. Why is data engineering still such a complicated and challenging undertaking?
      • What features and capabilities does Prophecy provide to help address those issues?
      • What are the roles and use cases that you are focusing on serving with Prophecy?
      • What are the elements of the data platform that Prophecy can replace?
      • Can you describe how Prophecy is implemented?
        • What was your selection criteria for the foundational elements of the platform?
        • What would be involved in adopting other execution and orchestration engines?
        • Can you describe the workflow of building a pipeline with Prophecy?
          • What are the design and structural features that you have built to manage workflows as they scale in terms of technical and organizational complexity?
          • What are the options for data engineers/data professionals to build and share reusable components across the organization?
          • What are the most interesting, innovative, or unexpected ways that you have seen Prophecy used?
          • What are the most interesting, unexpected, or challenging lessons that you have learned while working on Prophecy?
          • When is Prophecy the wrong choice?
          • What do you have planned for the future of Prophecy?
          • Contact Info
            • LinkedIn
            • @_raj_bains on Twitter
            • Parting Question
              • From your perspective, what is the biggest gap in the tooling or technology for data management today?
              • Closing Announcements
                • Thank you for listening! Don’t forget to check out our other show, Podcast.__init__ to learn about the Python language, its community, and the innovative ways it is being used.
                • Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.
                • If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story.
                • To help other people find the show please leave a review on iTunes and tell your friends and co-workers
                • Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat
                • Links
                  • Prophecy
                  • CUDA
                  • Apache Hive
                  • Hortonworks
                  • NoSQL
                  • NewSQL
                  • Paxos
                  • Apache Impala
                  • AbInitio
                  • Teradata
                  • Snowflake
                    • Podcast Episode
                    • Presto
                      • Podcast Episode
                      • LinkedIn
                      • Spark
                      • Databricks
                      • Cron
                      • Airflow
                      • Astronomer
                      • Alteryx
                      • Streamsets
                      • Azure Data Factory
                      • Apache Flink
                        • Podcast Episode
                        • Prefect
                          • Podcast Episode
                          • Dagster
                            • Podcast Episode
                            • Podcast.__init__ Episode
                            • Kubernetes Operator
                            • Scala
                            • Kafka
                            • Abstract Syntax Tree
                            • Language Server Protocol
                            • Amazon Deequ
                            • dbt
                            • Tecton
                              • Podcast Episode
                              • Informatica
                              • The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

                                Support Data Engineering Podcast

                                ...more
                                View all episodesView all episodes
                                Download on the App Store

                                Data Engineering PodcastBy Tobias Macey

                                • 4.6
                                • 4.6
                                • 4.6
                                • 4.6
                                • 4.6

                                4.6

                                135 ratings


                                More shows like Data Engineering Podcast

                                View all
                                Software Engineering Radio - the podcast for professional software developers by se-radio@computer.org

                                Software Engineering Radio - the podcast for professional software developers

                                273 Listeners

                                The Changelog: Software Development, Open Source by Changelog Media

                                The Changelog: Software Development, Open Source

                                282 Listeners

                                The Cloudcast by Massive Studios

                                The Cloudcast

                                152 Listeners

                                Thoughtworks Technology Podcast by Thoughtworks

                                Thoughtworks Technology Podcast

                                42 Listeners

                                Data Skeptic by Kyle Polich

                                Data Skeptic

                                481 Listeners

                                Talk Python To Me by Michael Kennedy

                                Talk Python To Me

                                591 Listeners

                                Software Engineering Daily by Software Engineering Daily

                                Software Engineering Daily

                                625 Listeners

                                The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) by Sam Charrington

                                The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

                                444 Listeners

                                Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

                                Super Data Science: ML & AI Podcast with Jon Krohn

                                297 Listeners

                                Python Bytes by Michael Kennedy and Brian Okken

                                Python Bytes

                                213 Listeners

                                DataFramed by DataCamp

                                DataFramed

                                265 Listeners

                                Practical AI by Practical AI LLC

                                Practical AI

                                192 Listeners

                                The Stack Overflow Podcast by The Stack Overflow Podcast

                                The Stack Overflow Podcast

                                64 Listeners

                                The Real Python Podcast by Real Python

                                The Real Python Podcast

                                140 Listeners

                                Latent Space: The AI Engineer Podcast by swyx + Alessio

                                Latent Space: The AI Engineer Podcast

                                77 Listeners