Agile data engineering
Eliminate legacy data pipelines and deliver high-performance data engineering for real-time analytics on raw operational data
100%
Data fidelity for end users
5x
More data refreshes per day
0
Cubes, aggregates or star schemas required
Challenges
So-called “modern” data pipelines are often complex and inflexible. Data must be reshaped and aggregated before it’s ready for analysis, often resulting in a significant loss of data fidelity from upstream systems. This limits the quality and depth of insight available from analytics.
Traditional data engineering is also time-consuming, with legacy approaches taking weeks to design ETL and ELT pipelines that anticipate all possible user questions and exploration paths. This work must be defined ahead of time, making it difficult to adjust to evolving business requirements.
Benefits of agile data engineering
Accelerate analytics performance
Improve data engineering flexibility
Maintain 100% data fidelity for analytics
Empower data teams with self-service analytics
Quickly create and deploy Incorta Data Apps
Maintain 100% data fidelity
Incorta simplifies ingestion, enrichment and curation for data pipelines, delivering 100% operational data for analysis and collaboration.
“Incorta has been critical to enabling faster delivery of data engineering and analytics capabilities …Their product has empowered many technology and business partners by unifying valuable data from disparate sources.”
