Informatica data integration terminology – Page 1

agile testing- Agile testing is a critical component of agile integration, in which development teams strive to maintain a continuous, stable build that is suitable for release at any given time. With agile testing, tests are integral—not ancillary—to the primary software creation process and provide the feedback necessary for developers to iterate the next, incremental build.

apache Hadoop – Apache Hadoop data systems are not limited in their scale. More hardware and clusters can be added to handle more load without reconfiguration and purchasing expensive software licenses.

application integration – Most businesses employ the use of enterprise applications such as supply chain management (SCM), enterprise resource planning (ERP), or customer relationship management (CRM). When business processes all filter through these large applications, everything works smoothly. But these applications do not always offer the most innovative solution to a common business problem. Cloud and mobile applications often offer an easier way for employees to do certain aspects of their jobs, and when this happens, the organization must create integrations between the old and the new.

big data – The term implies data of an indeterminate—and steadily increasing—size as well as from an indeterminate number of sources, including data generated by employees, customers, partners, machines, logs, databases, security cameras, mobile devices, social media, and more.

Data analytics – Big data analytics systems transform, organize, and model large and complex data sets to draw conclusions and identify patterns. Skilled big data analytics professionals, who generally have a strong expertise in statistics, are called data scientists.

Business Intelligence – While the term “business intelligence” describes both a methodology and a category of enterprise software, the primary activity in business intelligence is data analysis. Business intelligence tools and applications correlate data about business performance and process it to determine the best course of action for a wide range of business functions.

Cloud Integration – The goal of cloud integration is holistic access and visibility into business data for better optimization of business processes and more effective data analytics.

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