ER/Studio Data Architect

  Data modelers and architects need to respond to various levels of data-related business needs. Some important activities need your attention, in which they are listed below:

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What is ER/Studio Data Architect?

ER/Studio Data Architect Use Cases

Data modelers and architects need to respond to various levels of data-related business needs. Some important activities need your attention, in which they are listed below:

  • Building a data model as part of a development cycle
  • Discovery and documentation of existing assets in the data scenario
  • Creating and filling a Data Warehouse
  • Creating an enterprise data model
  • Catalog metadata for data governance or data quality initiatives
  • Performing an impact analysis of new policies or changes projected on models, databases, or data fields

ER/Studio Data Architect helps solve all of these situations, with robust logical and physical modeling, data dictionaries, direct and reverse engineering, and more

  • Create effective data models for building a business-oriented data architecture
  • Document and enhance existing databases to reduce redundancy
  • Implement naming standards to improve data consistency and quality
  • Efficiently share and manage data models across the enterprise
  • Map data sources and trace sources for data lineage improvement

Design effective data models

Data modeling helps organizations make better business decisions with accurately interpreted, rapidly changing data. Model data from relational sources, NoSQL, big data, BI, and ETL. Whether you're creating a new model from a conceptual diagram or reverse engineering from an existing database, ER/Studio Data Architect is a powerful tool that helps you easily and efficiently project and manage your logical and physical data models

Build a business-oriented data architecture

Data professionals need to ensure that everyone in the organization understands what the data is and can explain it in business terms. ER/Studio Data Architect provides an easy visual interface for data modeling professionals to document, understand, and publish information about data models and databases so they can support business objectives

System requirements:

  • Windows 7, 8, 8.1 and 10
  • 4GB of RAM
  • 2.5GB HD
  • Dual Core CPU or higher
  • To use Open Database Connectivity, you need to install the ODBC driver
  • To use DBMS, you need to install the native DBMS library

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