Data Management
Work for Performance, Compliance, and Control
01
Databases
Databases are software programs that hold organizations' data in an organized, easy-to-access way. The main types are relational databases (which use tables and rows), NoSQL databases (which have more flexible structures), and data warehouses (which store large amounts of data). Experts install and manage the databases to run well.
02
Data Integration
Integration combines data from different technology systems into one place, like moving customer details from a sales app into a warehouse for reports. Common methods are ETL and ELT, which extract, transform, and load/leave data. This puts all the info in one spot for applications and analysis.
03
Data Storage
Large amounts of data need storage in distributed systems across many computers. Options include cloud object stores like Amazon S3 for flexible files, file systems for directories of data, and on-site hardware. These hold everything from raw info to finished reports.
04
Metadata Management
Metadata is data about data - things like where it comes from, what it describes, and its quality. Catalogs that manage metadata give visibility into all these details. They allow easy search, policy enforcement, and troubleshooting through lineage records.

healthcare case 1

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Case study 1

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