The data architecture principles on which the entire framework is based considers data as an asset defined on pre-set parameters and is accessible, shareable, manageable, and can be secured.Д®nterprises deploy data architecture to primarily convert business needs into data and system requirements, align business processes with IT systems, and manage the complex flow of data and information within the organization. Foote of Dataversity defines Data architecture as 'A set of rules, policies, and models that determine what kind of data gets collected, and how it gets used, processed and stored within a database system.' The framework is created to secure sensitive data yet making the most relevant pieces accessible by authorized people at the right time. Simply put, Data Architecture is the organizational framework aligned with business processes that standardize the process of data collection, storage, transformation, distribution, and usage. Before we elaborate on what does a data architect do, let us understand what is Data Architecture. Data Architect or Big Data Architect is one such role that is highly pertinent in today's data-driven world. 71% of these businesses are of the view that organizational spending on data and analytics is going to speed up in the next few years.ДЄmidst the buzz around Data and the advanced level chatter about Big Data, several new organizational roles have emerged that are helping companies source, process, and assimilate complex data daily, from within the enterprise and beyond. There isn't a single organization today that doesn't attempt to harness the power of data to find solutions to problems, make informed decisions, deploy strategy efficiently, and run smooth business operations cost-effectively.ДЄccording to a Forbes article, 52% of global enterprises are actively analyzing data to derive operational insights for making better decisions. You can now create primary keys that are not clustered.DATA- the four-letter word is a tremendous force that drives modern-day businesses. The transformation will automatically generate the entities and their relationships, using the XML schema associated with the XML column.Д¬reate, model, and reverse-engineer Teradata version 14 data servers. You can now specify an XML column in a physical data model to be transformed to entities instead of XML attributes in the logical data model.The transformation will automatically generate the XML schema that is associated with the XML column, using the entity and its transitive closure. You can now specify an entity in a logical data model to be transformed to XML column instead of a table in the physical data model.You can now associate XML schemas with XML attributes in a logical data model, and with XML columns in a physical data model.When transforming from a logical data model into an XML schema, you can now select an entity (transitive closure) as the transformation source and generate an XML schema with the entity (and its subtype entities) as the root element.Physical data model diagrams are transformed and included in the resulting logical data model. You can now specify that the entries for each index should be sorted in a random order by the column.

Quickly apply aliases (DB2 only) or synonyms to tables:ДЄpply an alias or a synonym to a table when you are working with a physical data model.Д¬reate indexes on DB2 general expressions.

Specify whether null keys should be excluded from an index.Specify that entries for each index should be sorted in a random order by the column.Create indexes on DB2 general expressions.Select multiple objects, then create a new comparison filter from those objects.

Building upon the functionality built into previous releases of InfoSphere Data Architect, you can now save and share the comparison filters that you create in the workbench.

Specify whether to include the transformation expression when you import or export a mapping model.

Create, model, and reverse-engineer from these iSeries data servers, including the NCHAR, NVARCHAR, NCLOB, and XML data types.Д®nhanced import and export and mapping model support:.

Specify row change timestamps for TIMESTAMP data types.

Specify the HIDDEN property for columns.

Shell-share the two products, using a single environment to make use of Rational Team Concert's source control, work item, and team sharing capabilities.Д¬reate and modify physical data models to leverage DB2's BLU acceleration features.Д¬reate, model, and reverse-engineer Netezza version 7.x data servers, including the new VARBINARY and ST_GEOMETRY data types. You can now integrate InfoSphere Data Architect with Rational Team Concert version 4.0. The following enhancements were made for the 9.1 release of InfoSphere Data Architect:

Ibm dataarchitect team share