Ability to ingest petabytes of data with auto-evolving schemas. Our data engineers can deliver fast, reliable, scalable and automatic data for analytics, data science or machine learning.
We reduce development time and effort and instead focus on implementing business logic and data quality checks within the data pipeline using SQL or Python.
Tune data latency with cost controls without the need to know complex stream processing.
Our engineers define Simple, clear and reliable orchestration of data processing tasks for data. Define analytics and machine learning pipelines with the ability to run multiple non-interactive tasks as a directed acyclic graph (DAG). Orchestrate tasks of any kind (SQL, Python, JARs, Notebooks)in a DAG.
Our engineers Improve data reliability by defining data quality and integrity controls, by addressing data quality errors with predefined policies. Leverage the data quality metrics that are captured, tracked and reported for the entire data pipeline.
Our engineers handle transient errors and recover from most common error conditions occurring during the operation of a pipeline with fast, scalable automatic recovery.
Monitor overall data pipeline status andtrack end-to-end pipeline health for performance, quality and latency.
We ensure reliable and predictable delivery of data for analytics and machine learning use cases by enabling easy and automatic data pipeline deployments and rollbacks to minimize downtime.
Data analytics is the process of extracting intelligent insights from data that can be used for business decision-making. At Zingworks, our data analytics practice focuses on leveraging data in a way that saves time and derives value from data.
The data derived in data analysis is then represented visually with charts, graphs, maps, and other visual representations to make it easily understandable to stakeholders. This process is called Data Visualization. We have used tools like Tableau and Power BI to the to the great advantage of our clients and helped them make data-driven decisions with our Data Visualization capabilities.