Enterprises are increasingly adopting Spark for tasks ranging from ingestion, ETL, and data processing to advanced analytics and machine learning. But despite its growing popularity, Apache Spark is complex and the learning curve is steep.
Data-driven enterprises can now rely on a low-code solution that provides an alternative to time-consuming and tedious manual programming.
Find out how StreamAnalytix provides a practical and viable alternative to the complexities of building enterprise-grade Spark applications. Read this whitepaper to learn:
- How you can build and run Apache Spark applications rapidly using StreamAnalytix
- Quantified metrics of enhanced productivity for Spark development and management over manual programming
- Examples of how our customers are achieving these metrics with StreamAnalytix