DataOps
erwin Data Intelligence for Data Analysis
Empowering Everyone to Bring the Right Data to Every Decision
Business Transformation and Data Readiness at E.ON
Overview
Empower your data delivery pipeline
Govern access to and use of data
Lack of visibility into the movement, transformation and consumption of data leads to a host of issues around security, compliance and access to data stores. It can also lead to doubt as to the veracity and accuracy of the data used for business analytics. Quest DataOps tools help establish a data governance framework for policies and practices around data access and usage, while also making it easier for stakeholders to locate and understand data.
- Automatically harvest and curate metadata to better understand where data is and tag it to make it easier to find and understand relevant data.
- Enable data teams to model the technical details of data assets, including schema, data types, valid values, constraints and more.
- Promote self-service data discovery and stakeholder collaboration around data quality.
Speed data provisioning through replication
Multiple data siloes make it difficult to pull consistent data from across platforms for consumption by analytics and machine-learning models and applications. Disparities in data quality and characteristics further complicate the effort to create usable data sets. Quest tools make it possible to replicate, query, blend and curate data from across platforms into curated and fit-for-use data sets, while ensuring high availability, disaster recovery and workload distribution.
- Use a single solution with cross-DBMS connectivity to speed data preparation and securely share and reuse curated data.
- Accurately move and replicate data and workloads across on-premises and hybrid cloud environments, and reduce the impact of reporting and analytics on transactional platforms.
- Document and model data movement processes to reduce data pipeline development cycles, increase accuracy and literacy, and build trust in data.
Manage data movement and workload performance
Manual processes across the data delivery pipeline prevent developers from focusing on the schema, objects and code needed for sophisticated data analytics. From database testing and code reviews to clearing performance bottlenecks, Quest solutions help monitor and diagnose database and workload issues across complex environments and multiple platforms.
- Automate the processes involved with code development, testing and deployment while ensuring schema changes are reconciled with business process flows via the metadata repository.
- Monitor and diagnose workload performance changes at different stages of the pipeline and get detailed recommendations for optimizing queries.
- Perform continuous workload performance testing and benchmarking to ensure future scalability and anticipate cloud spend.