We are DATPROF, a software vendor specializing in simplifying test data. With the help of our Test Data Management Platform, we ensure accessible test data for medium to large-size organizations worldwide.
Our toolset helps identify PII/PHI data, create and anonymize referentially intact subsets of databases, generate synthetic test data, virtualize containerized databases, and automate the deployment in either a scheduled or self-service manner.
Based on our record, Apache Spark seems to be more popular. It has been mentiond 58 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 12 days ago
In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 14 days ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Test Data Management - Learn how Informatica's intelligent data security TDM solution allows automated provisioning of masked and synthetically generated data to meet the needs of test, development, and QA teams.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
CloudTDMS - CloudTDMS automates the process of test data generation for dev & test purposes. While at the same time ensuring compliance to regulatory and organisational policies & standards as well as Data Discovery & Profiling.
Hadoop - Open-source software for reliable, scalable, distributed computing
Solix Enterprise Data Management Suite - Solix EDMS offers universal access to all archived data for business users through full-text search, structured SQL queries, forms & reports.