Ascend for GCP
Unified Data Engineering Platform
Ingest Anything
Connect to any data lake, warehouse, database, stream, or API with little to no code.
Build Faster
Create autonomous data pipelines with 95% less code. Write in Python, SQL, and YAML interchangeably.
Run Autonomously
Optimize data pipelines and infrastructure with dynamic resourcing, intelligent persistence, and advanced deduplication.
Integrate Everywhere
Connect data pipelines with your favorite BI tools, notebooks, and big data systems.
Govern Automatically
Track code, data, and users with a suite of granular monitoring, reporting, and security capabilities.
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Benefits of Ascend.io on GCP
Data Lineage
Easily answer the question “where did “net sales” come from?” thru visualization of lineage and all calculations/operations done to the data.
Pipeline Visualizations
Simplify complex queries into easy to understand sequential operations thru a modern DAG-based GUI that provides useful meta-data and state information at a glance.
Adaptive Ingestion
Keep data flowing by intelligently cascading schema changes to the data warehouse. Alert the data team with configurable levels of notifications when breaking changes are detected.
Access to Modern Technology including Data Science Tools
No matter your level of technical skill, we make the most modern capabilities accessible to you instantly! Play with Python, execute Spark jobs, begin your DS/ML journey with Notebooks or MLLib with no training.
Process More Data Sources
Native connections to common data sources and the ability to write small Python snippets to bring in anything else. Apply analytics to JSON, AVRO, XML, and custom byte encoded data in parallel. Even extract information from audio, documents, images by easily including ML/AI engines in the processing sequences.
Ensure Data Quality
Easily explore and validate your data before handing it off to your reports/analysts! Create a validation component that will run every time new data appears.
