IBM InfoSphere Information Server Enterprise Edition
Cleanse, monitor, transform and deliver data
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Overview:
Deliver high-quality, real-time data for improved insights
IBM® InfoSphere® Information Server Enterprise Edition is an industry-leading, end-to-end data platform that provides a complete suite of capabilities. These capabilities include automated data discovery, policy-driven governance, self-service data preparation, data quality assessment and cleansing for data in flight and at rest, and advanced dynamic or batch data transformation and movement.
Use cases
Millenium bcp
Millenium bcp, the largest private bank and second-largest bank in the Portuguese market, selected IBM InfoSphere Information Server Enterprise Edition and IBM InfoSphere Business Glossary Pack to comply with BCBZ 239 data governance and quality regulations. IBM was selected for its functionality, flexibility, modularity and scalability.
Garanti BBVA
Garanti BBVA, Turkey’s second largest bank, is an integration financial services group operating in every segment of the banking sector including corporate, commercial, SME, payment systems and more.
Features:
Classify unstructured data sources
Classify email messages, word processing documents, audio or video files, collaboration software, or instant messages by integrating IBM Knowledge Catalog with IBM StoredIQ®.
Supports a wide range of connectors
Connect with a wide range of out-of-the-box native connectors such as Google Cloud Storage, Azure, Cassandra, HBase, Hive, Kafka, Amazon S3, Cloudera and more.
Intuitive browser-based user interface (UI)
Take advantage of automatic schema propagation to speed up job generation, type-ahead search, and backwards capability, while designing once and executing anywhere.
Assess, analyze and monitor data quality
Load cleansed information into analytical views to enable you to monitor and maintain data quality with IBM InfoSphere QualityStage®.
Supports data integration across multicloud environments
Collect, transform and distribute large volumes of data with built-in transformation functions in DataStage that reduce development time, improve scalability and provide for flexible design.
Business glossary and lineage for data governance
Improve visibility and information governance by enabling complete, authoritative views of information with proof of lineage and quality.
Integrate with Hadoop
Enable data integration, data cleansing and data profiling and analysis workloads to run on the data nodes of a Hadoop cluster, where your big data is stored, to minimize data movement.
Integration with IBM Knowledge Catalog
Use IBM Knowledge Catalog to let business users exploit data assets in a governed and secure way.
Benefits:
Drive innovation and improve trust
Set up cloud environments quickly for ad hoc development, testing and productivity for your IT and business users.
Business glossary capabilities
Reduce the risks and costs of maintaining your data lake by implementing comprehensive data governance, including end-to-end data lineage, for business users.
Deployment and runtime flexibility
Build your IBM DataStage® ETL jobs once and deploy your runtime anywhere: on premises, public cloud, private cloud or AI-ready platforms such as IBM Cloud Pak for Data using containers.
Modernize and consolidate your systems
Improve cost savings by delivering clean, consistent and timely information for your data lakes, data warehouses or big data projects, while consolidating applications and retiring outdated databases.
Machine learning-based in-line quality
Eliminate garbage in, garbage out reporting and analytics by implementing comprehensive and scalable data quality processing.
Fast time-to-value as a fully managed service
Get started on the IBM Cloud® and realize faster time-to-value by significantly reducing administration and management burdens.
Specifications:
Pricing Notes:
- All Prices are Inclusive of GST
- Pricing and product availability subject to change without notice.
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