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Here is how the protest will work: -- guests will enter the protest area where tables will be set up to make signs and sign a petition. -- student leaders will speak about the parking model and the counter proposal the sga has written. -- documents will be passed out to guests informing them of the steps taken so far regarding the parking model. cari watts, a graduate student in ub's negotiation and conflict management program and president of the graduate student senate, said, "we knew the students were not going to be happy and as their student representatives, we needed to give the students an opportunity to let the administration know they did not appreciate being kept out of the loop. our goal is to give the students a voice and an opportunity to express their disapproval." in a prepared statement provided by the sga, they state, "the student government association sga ; will ensure that the voice of the students is heard by the administration, and we welcome your help, support and input on this matter as it will affect students for years to come." the student government association is the collective student governments, comprised of the student bar association, graduate student senate and undergraduate student senate of the university of baltimore. the university of baltimore is a member of the university system of maryland and comprises the school of law, the yale gordon college of liberal arts and the merrick school of business. for more information, contact: cari watts 410.837.4681 carolyn.watts ubalt.
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T's only software. i've often heard that phrase used to describe the relative difficulty of adding a feature or making an enhancement to a complex information system. the underlying assumption is that since the physical process of developing software is trivial, producing the desired results must be more or less unproblematic as well. after all, it's not like you have to pour concrete or bend metal to construct software systems. you just add or change the instructions to tell the computers to do something else. it's simple, right? wrong. software development is hard. software that works is precious. of all the professional engineering disciplines, software engineering is one of the least well understood in terms of repeatable processes for achieving successful results. in some ways software development is still more of an art than an industrial process. it is engineering, but of a different sort. since the infancy of computer science in the 1940s, efforts have been underway to develop ways to ameliorate the inherent difficulty of building successful software systems. aided by an exponential increase in computing power, considerable progress has been made in terms of reducing the level of complexity and increasing the productivity of software engineering professionals. our tools today are better than ever. however, until recently, little progress has been made in attacking the essential difficulties involved in developing large, complex software systems. software projects are still routinely behind schedule, over budget or both. issues with software projects continue to give nightmares to business executives the world over. this is one of the reasons that it seems to take an inordichuck nate amount of effort and expense to get strutt your online system to support that hot new game or promotion. it's not easy. so it is understandable that the commike hutton is a principal at qlot consulting. puter industry has long sought a "holy grail" that would miraculously eliminate much of the vexing difficulty involved in building large software systems, thus allowing system architects to concentrate on the business problem at hand, rather than the arcane details of software construction. such a solution would ostensibly make the production of software systems more akin to a traditional manufacturing process where working systems are assembled from standard components and less like a collaborative work of art. well, i'm sorry to say that we're not there yet, but a few related software technologies have matured to the point of making significant progress toward the goal of assembling complex software systems from "off the shelf parts." in the mid-1990s, sun microsystems released a programming language and related technology it called java. originally intended for developing software for embedded applications, the technology has steadily matured over the past several years, and is now used in a vast number of applications, from web browsers, to telephone switches to yes, even lottery terminals. java technology has many interesting features, but the most relevant of them from a business perspective are relative ease of use, hardware platform independence, and the ability to dynamically integrate new functionality into working systems. this last feature is probably the most important, because with proper design it allows us to construct systems that can be enhanced in a straightforward and economical fashion. one of the interesting aspects of java technology is the concept of a "java bean". essentially, a java bean or simply "bean" ; is a software component that is constructed following certain specific rules for interacting with its bill environment. the environment in java barry chamberland terminology is called a "container". as auliffe long as both the bean and the container adhere to a common set of relatively simple specifications, any bean can be "dropped in" to any container and it will work. furthermore, java technology allows beans to be dynamically added to a system while it is running. java beans were originally used to construct standard graphical user interface gui ; components, which could be simply and easily assembled into a working application using commercially available tools, with little or no programming. however the "bean-container" concept proved to be extremely powerful and there are now many different "flavors" of beans, and many types of standard containers. the most significant of these standard containers is the application server. application servers are software infrastructure products that provide a standard framework for developing large, complex online software systems. applications are constructed by developing and "plugging in" various types of beans into the framework. used in conjunction with a web server and a relational database, application servers provide nearly all of the software "plumbing" required by sophisticated internet or other on-line applications, and which previously accounted for a significant portion of the development time and expense associated with such systems. when people talk about "building systems using internet technology, " they are most likely referring to the use of application servers. new lottery games can be developed as a set of beans to be "dropped in" to an application server. this is in fact the way that some internet gaming systems are constructed today. java technology and application servers represent a significant advance in the state of the art, but like any other technology, they are not a panacea. the technology is not appropriate for all applications. technical organizations must expect and plan for the learning jason bliss curve required to become proficient with the concepts. but it's only software and poker star.
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Mented as the set of relational tables, some of them represent dimensions, and are called dimension tables, while others store values of measures, and are called fact tables. one of eds's features is their autonomy eds's structure and content may change over time independently of the dw. following three types of eds's modifications may cause changes in a dw: fact data changes, dimension data changes, and schema changes. fact data changes represent modification of data, which are the sources for facts in dw. dimension data changes represent modifications of data that are sources for dw dimensions. a content modification in the eds, e.g. inserting a new record, may cause a modification of a dimension structure in a dw. for example, inserting a new product in an eds may lead to modification of the structure of the products dimension in a dw. so far the dimension information has been treated as a static one. but in real life the changes of this kind of information are common. the last type of modifications, schema changes represent changes of the schema of eds's, e.g. adding an attribute to a table, dropping an attribute, adding a new table. as eds's change, the dw's structure and content become out of date and have to be periodically refreshed. efficient dw refreshing under eds's content changes is one of the basic problems in dw research area. the data in a dw are stored in materialized views, which are usually defined by an spj selection-projection-join ; query over the tables in eds's. the dw refreshing problem is often formulated as the problem of refreshing materialized views. there are two basic techniques of refreshing a materialized view, namely full refreshing and incremental refreshing. the full refreshing consists in recomputing a materialized view from scratch, whereas an incremental refreshing consists in finding and applying to a materialized view only these changes in source tables that appeared since the last refresh. many algorithms proposed so far try to solve the problem of the incorrect incremental dw refresh caused by concurrent source table updates using a wide range of mechanisms [19, 20]. another problem with dw refreshing is caused by concurrent work of refreshing processes and users running analytical queries. a typical way of data analysis, performed by a dw user, consists of a series of long-lasting, complicated queries, built with join, groupby, sort, and aggregate operations, reading large amounts of data. the problem is how to synchronize dw users' work with the process of refreshing a dw. users' queries need to see a consistent state of the data, but concurrent dw refreshing can violate this requirement. the refreshing techniques proposed so far, called commonly on-line warehouse maintenance, use multiversion concurrency control algorithms [17]. the limitations of these algorithms are that they do not support the mechanism of transaction with its atomicity, consistency, isolation, and durability properties. in consequence, a dw user may see various data anomalies while a dw is being refreshed. the only algorithm for transactional dw refresh was proposed in [7], however this solution does not cover all aspects of dw dynamics for example dimension updates ; . 2. the problem statement the data warehouse refreshing process can interfere with concurrent eds's table updates causing inconsistency of the dw content duplication anomaly ; . a refreshing process cannot be completed if the dw is not notified about the eds schema change broken query anomaly ; . the results of dw users' analytical queries can be incorrect because of a concurrent dw refreshing process. these anomalies are known and have been widely discussed see section related work ; . in order to be able to manage changes in a dw schema and content, a dw with versioning capabilities is being developed in our institute. the changes to the dw structure and data are reflected in a new, explicitly derived, version of a dw. this new approach to the dw model is called a multiversion data warehouse mvdw ; [15]. mvdw allows not only fact changes, but also dimension data changes and schema changes. it needs advanced mechanisms to assure the correctness of dimension data refreshing, to synchronize the refreshing of dependent materialized views i.e. consistent refresh of dimensions and facts ; and to change data according to the dw schema changes. the creation of a new dw version should also be performed in a consistent manner. in order to assure a consistent view of a mvdw for a user while the mvdw is being refreshed, and to assure correctness of the whole mvdw refreshing process, we propose two types of transactions: 1 ; a fact transaction and 2 ; a schema and dimension structure transaction. a fact transaction is responsible for incremental refreshing of dw fact tables to reflect updates of underlying eds's data. whereas a schema and dimension transaction is applied: 1 ; to modifying a dw schema when eds's schemas change, 2 ; to modifying a dw dimension structures when eds's data reflected in dimensions change, and 3 ; to creation of a new dw version. 3. related work the existing approaches to propagating changes from eds's to the dw can be classified into two categories: 1 ; data refreshing and 2 ; handling changes in the dw schema. the solutions in the first category incrementally refresh a dw fact table using different mechanisms for avoiding the duplication anomaly. the eca algorithm [19] removes an error term by applying what is called compensating queries. two extensions of the basic eca algorithm, namely ecak and ecal, are able to process some data source modifications locally at dw, i.e. without sending maintenance queries to eds's. the same idea is used in the sweep algorithm [1]. another solution, i.e. the strobe algorithm [20] stores the list of eds's updates reported to dw during maintenance query execution. this list, called an action list, is used for compensating an error term. in [16] authors propose an architecture where eds's form a ring. the process of finding delta caused by eds's updates is based on exchanging a token among eds's none of the above solutions uses transactional refreshing of a dw. in consequence the atomicity and isolation of the refreshing process cannot be guaranteed. moreover, the above approaches focus on only those changes in eds's data that do not have any impact on a data warehouse schema. the only transactional solution of the problem of incremental dw refresh was proposed in [7]. the authors propose a special purpose transaction, called dwms transaction, which covers the whole process of a dw fact table refreshing. the dwms transaction has been defined as a sequence of two transactions, namely a local eds update transaction and its corresponding dw maintenance transaction. the main contribution of the reported work is an observation that the anomaly during the process of incremental refreshing can be mapped into the problem of guaranteeing the serializability of dwms transactions. the authors point out that the dwms transaction is more of a conceptual than a real transaction mechanism, which is the potential solution's weakness. however, even such conceptual model of transaction allows to reformulate a maintenance anomaly problem to wellknown "read dirty data" problem. the compensation techniques are no longer required. the solution also deals with schema changes, but does not tackle the problem of data warehouse dimension structure changes and concurrent dw users' sessions. the support for handling changes in a dw schema was studied in the following two categories: 1 ; schema and data evolution, 2 ; temporal and versioning extensions. the approaches in the first category [4, 10, 11].
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