Big data provision
Franchising and data provision for decision-making
Big data provision
The provision of large amounts of data for meaningful use is the next step in creating actionable information.
Since it bundles and protects data, the data management platform IRI Voracity produce multiple batch or real-time targets at once, including:
- ODS, DW, and Data Mart DBs pre-sorted
- Flat Files for use in ETL tools, ELT applications, and Hadoop
- Piped, Procedural, or BrokeredMQTT/Kafka) In-Memory Data Feeds
- 2D Reports, federated views or BIRT–Diagrams in Eclipse
- Predictive Analytics, Data Science, Machine Learning, and Deep Learning (AI) nodes in KNIME
- Data Wrangling for Business Intelligence, Data Mining and Analytics tools how Cognos, OBIEE, Power BI, QlikView, R, Spotfire, Splunk and Tableau
- masked production or synthetic Test data targets
Voracity externalizes data preparation and delivery in Unix, Linux, and Windows file systems. or HDFS...whatever you have configured will now be a faster, more cost-effective place to realize and scale your big data processing operations.
Preparing Data for Predictive Analytics: BDQ Big Data Quarterly Article by DBTA
Successful Data Science and Machine Learning, learn more at BDQ Big Data Quarterly article from DBTA here.
„Voracity also offers a simplified form of data virtualization, allowing business people direct access to the ultimate data source. Because a single set of common metadata supports both virtualization and offline processing, aligning cleansing and integration across different time frames is easier to achieve.“ Dr. Barry Devlin – 9sights Consulting
No impact on production, plus significant time and cost savings!
- Remove the heavy lifting of transformation from the production database, application, and BI tools/layers
- Provide clean, secure, and pre-formatted data to the targets that require it, when they require it, concerning files, tables, pipelines, and procedures.
- Prevent memory and synchronization issues associated with using multiple copies of data
- Surgical selection and insertion of data using SQL-compatible /QUERY and /UPDATE commands within SortCL jobs to control data flows according to business rules
- Improve transparency quality with newer data
- Execute your orders on any platform and according to schedules subject to your defined and automated conditions. Avoid the usual delays in data warehouse and data mart updates associated with manual provisioning.
