12
Jan
2010
Bookmarked 01/12/2010: Open source entreprise products - security versus privacy
open…: What “Nothing to Hide” is Hiding
A related problem involves “secondary use.” Secondary use is the use of data obtained for one purpose for a different unrelated purpose without the person’s consent. The Administration has said little about how long the data will be stored, how it will be used, and what it could be used for in the future. The potential future uses of any piece of personal information are vast, and without limits or accountability on how that information is used, it is hard for people to assess the dangers of the data being in the government’s control.
- Moreover, data mining aims to be predictive of behavior, striving to prognosticate about our future actions. People who match certain profiles are deemed likely to engage in a similar pattern of behavior. It is quite difficult to refute actions that one has not yet done. Having nothing to hide will not always dispel predictions of future activity.
- This kind of information processing, which forbids people’s knowledge or involvement, resembles in some ways a kind of due process problem. It is a structural problem involving the way people are treated by government institutions. Moreover, it creates a power imbalance between individuals and the government. To what extent should the Executive Branch and an agency such as the NSA, which is relatively insulated from the political process and public accountability, have a significant power over citizens?
- A related problem involves “secondary use.” Secondary use is the use of data obtained for one purpose for a different unrelated purpose without the person’s consent. The Administration has said little about how long the data will be stored, how it will be used, and what it could be used for in the future. The potential future uses of any piece of personal information are vast, and without limits or accountability on how that information is used, it is hard for people to assess the dangers of the data being in the government’s control.
Talend: Open Source ETL and Data Integration Software
“Data integration is the process of moving and combining data across the information system. It typically consists of extracting data from different sources (databases, files, applications, Web Services, emails, etc.), applying transformations (join, lookup, deduplication, calculation, etc.) to this data and sending the resulting data to target systems. Talend, the recognized market leader in open source data integration, leverages the open source model to make data integration available to all types of organizations, regardless of their size, level of expertise or budgetary constraints. Talend’s solutions connect to all source and target systems and they can be downloaded at no cost. Talend also offers data quality solutions, fully complementary to its data integration solutions.”
SnapLogic - The DataFlow Company
The SnapLogic server is a lightweight process that serves as the container and execution environment for configurable Components. A catalog of standard SnapLogic Components provides basic integration capabilities such as database queries, file read and write, aggregate, sort, filter, join, and others. Components are configured with specific properties and instantiated as Resources accessible via unique Uniform Resource Identifiers (URIs). Resource definitions are stored locally in a SnapLogic server’s Repository. SnapLogic Resources can produce and/or consume a data feed. Resources can produce a feed from data sources such as database, files, web services, etc. Resources can also consume feeds to further process data or to write to data targets. A SnapLogic feed is a serialized record-oriented data stream with a simplified structure that eliminates the complexity of application-specific data schemas. This enables Resources to interoperate more easily and facilitates reuse. Resources can be linked to other Resources through their REST interface. Linked Resources become transformation Pipelines.2 Pipelines can be assembled into hierarchies that can implement complex logic and transformations on data for sophisticated integrations.
Documentation/2.2/Tutorial/Intro - SnapLogic - The DataFlow Company
“The SnapLogic server is a lightweight process that serves as the container and execution environment for configurable Components. A catalog of standard SnapLogic Components provides basic integration capabilities such as database queries, file read and write, aggregate, sort, filter, join, and others. Components are configured with specific properties and instantiated as Resources accessible via unique Uniform Resource Identifiers (URIs). Resource definitions are stored locally in a SnapLogic server’s Repository. SnapLogic Resources can produce and/or consume a data feed. Resources can produce a feed from data sources such as database, files, web services, etc. Resources can also consume feeds to further process data or to write to data targets. A SnapLogic feed is a serialized record-oriented data stream with a simplified structure that eliminates the complexity of application-specific data schemas. This enables Resources to interoperate more easily and facilitates reuse. Resources can be linked to other Resources through their REST interface. Linked Resources become transformation Pipelines.2 Pipelines can be assembled into hierarchies that can implement complex logic and transformations on data for sophisticated integrations. “
iphigenie
iphigenie
iphigenie
joellenebbe
iphigenie
iphigenie