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Low-code Spark
5
min read
Use Spark interims to troubleshoot and polish low-code Spark pipelines: Part 2
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.
Low-code Spark
4
min read
Use Spark interims to troubleshoot and polish low-code Spark pipelines: Part 1
Let’s take advantage of Spark’s interim metadata to understand our Spark job behavior with low-code tooling.
ETL modernization
4
min read
Cloud data engineering on Spark — factors for transitioning to the stack
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.
ETL modernization
6
min read
Ab Initio to Spark: Modernize your ETL and lower costs
Prophecy also provides a highly automated replacement for legacy ETL products to accelerate the journey to open source and cloud computing.
Data Lakehouse
10
min read
Deep dive into Prophecy for Databricks
Just a few days ago, we announced a Prophecy for Databricks. In this blog post — Part 2 of that announcement — we dig into how Prophecy makes data engineering simple for any data practitioner on Databricks.
Customer success
10
min read
Financial reporting simplified: Working capital forecasting
In this blog, we learn about the concept of financial reporting, its importance, the various challenges faced while generating an efficient and reliable financial report and how Prophecy makes the complete process easy sailing.