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La persistenza dei dati è una caratteristica fondamentale di ogni applicazione, e quasi sempre la scelta ricade sull’utilizzo di un database relazionale. Java, fin dalle sue prime versioni, ha avuto a disposizione la libreria JDBC per accedere a tale tipo di database. In questa presentazione si mostrerà come utilizzare la libreria JDBC, mostrandone pregi e limiti. In seguito si mostrerà l’utilizzo tradizionale di Hibernate, forse il più famoso e diffuso degli Object/Relational Mapper (ORM), che permettono di trattare i dati relazionali inserendoli all’interno di oggetti. Infine si introdurrà la Java Persistence API (JPA), la libreria di persistenza ORM introdotta con la Java Enterprise Edition (JEE) 5.
Got bored by the relational database? Switch to a RDF store!benfante
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Sarà così anche per il prossimo decennio? Negli ultimi tempi, molti articoli e blog hanno iniziato ad incrinare la fama di intangibilità del database SQL; uno degli argomenti più gettonati è relativo al grid e cloud computing, per i quali sono state proposte alternative (come p.es. BigTable di Google). In questa presentazione, tuttavia, faremo ancora riferimento ad un’architettura a strati tradizionale, dove il problema del database SQL da risolvere è la rigidità dello schema dati. Considereremo infatti un’applicazione web reale che rappresenta una base di conoscenza la cui struttura deve evolvere nel corso del tempo; con un database SQL, questo implicherebbe aggiungere colonne a tabelle esistenti e create nuove tabelle – un’operazione non supportata dalla maggioranza dei mappatori O/R, che necessiterebbe la ricompilazione del codice.
La soluzione usata in questo scenario è uno “store RDF”. RDF (Resource Description Framework) è un approccio di rappresentazione dell’informazione completamente diverso dal modello relazionale del SQL. Esso consiste in triple “soggetto-predicato-oggetto”, omogenee tra loro. Pertanto, sia l’equivalente di “aggiungere una nuova colonna” o “una nuova tabella” in RDF equivale ad aggiungere una tripla – non un’operazione amministrativa, ma un passo del normale flusso operativo. Si noti che RDF è noto per essere alla base del Web Semantico, concetto che tuttavia non fa parte di questa presentazione, il cui focus è descrivere uno store RDF come un “miglior database”.
Dopo la parte introduttiva, verranno illustrati concetti pratici: implementazioni esistenti (OpenRDF), come si affronta il problema della conversione oggetti – triple, come implementare le transazioni e così via. Verranno illustrati schemi architetturali e esempi di codice riferiti ad un’applicazione reale open source; verranno infine affrontati una serie di problemi aperti relativi a questa scelta architetturale.
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La persistenza dei dati è una caratteristica fondamentale di ogni applicazione, e quasi sempre la scelta ricade sull’utilizzo di un database relazionale. Java, fin dalle sue prime versioni, ha avuto a disposizione la libreria JDBC per accedere a tale tipo di database. In questa presentazione si mostrerà come utilizzare la libreria JDBC, mostrandone pregi e limiti. In seguito si mostrerà l’utilizzo tradizionale di Hibernate, forse il più famoso e diffuso degli Object/Relational Mapper (ORM), che permettono di trattare i dati relazionali inserendoli all’interno di oggetti. Infine si introdurrà la Java Persistence API (JPA), la libreria di persistenza ORM introdotta con la Java Enterprise Edition (JEE) 5.
Got bored by the relational database? Switch to a RDF store!benfante
Il database relazionale basato su SQL è da decenni una costante nella gran parte delle architetture software enterprise. Ha resistito a cambiamenti epocali, come il passaggio dal procedurale all’object oriented, e all’avvento di vari linguaggi di programmazione. Eppure il suo modello operativo non è immediatamente adattabile a quello delle altre parti delle architetture: è ben nota la presenza dell' “impedenza OO-RDBMS” e tutta una serie di strumenti (i mappatori O/R) sono stati appositamente sviluppati per alleviare il problema. Strumenti che, generalmente, sono fortemente amati o fortemente odiati da architetti e sviluppatori. Nonostante queste asperità, il database SQL è apprezzato perché supporta il modello ACID, ha un comportamento prevedibile, il SQL è conosciuto praticamente da tutti, è relativamente facile svolgere i lavori amministrativi.
Sarà così anche per il prossimo decennio? Negli ultimi tempi, molti articoli e blog hanno iniziato ad incrinare la fama di intangibilità del database SQL; uno degli argomenti più gettonati è relativo al grid e cloud computing, per i quali sono state proposte alternative (come p.es. BigTable di Google). In questa presentazione, tuttavia, faremo ancora riferimento ad un’architettura a strati tradizionale, dove il problema del database SQL da risolvere è la rigidità dello schema dati. Considereremo infatti un’applicazione web reale che rappresenta una base di conoscenza la cui struttura deve evolvere nel corso del tempo; con un database SQL, questo implicherebbe aggiungere colonne a tabelle esistenti e create nuove tabelle – un’operazione non supportata dalla maggioranza dei mappatori O/R, che necessiterebbe la ricompilazione del codice.
La soluzione usata in questo scenario è uno “store RDF”. RDF (Resource Description Framework) è un approccio di rappresentazione dell’informazione completamente diverso dal modello relazionale del SQL. Esso consiste in triple “soggetto-predicato-oggetto”, omogenee tra loro. Pertanto, sia l’equivalente di “aggiungere una nuova colonna” o “una nuova tabella” in RDF equivale ad aggiungere una tripla – non un’operazione amministrativa, ma un passo del normale flusso operativo. Si noti che RDF è noto per essere alla base del Web Semantico, concetto che tuttavia non fa parte di questa presentazione, il cui focus è descrivere uno store RDF come un “miglior database”.
Dopo la parte introduttiva, verranno illustrati concetti pratici: implementazioni esistenti (OpenRDF), come si affronta il problema della conversione oggetti – triple, come implementare le transazioni e così via. Verranno illustrati schemi architetturali e esempi di codice riferiti ad un’applicazione reale open source; verranno infine affrontati una serie di problemi aperti relativi a questa scelta architetturale.
Lambico is a project aiming to simplify the persistence layer of your applications by providing a manner for easily defining the DAOs that manage the data stored in your database.
With Lambico you can define the DAOs for your entities just writing their interfaces, with no implementation at all.
Parancoe 3 is a Web meta-framework which is using Lambico for its persistence layer, and the more recent features of Spring MVC.
Applicazione JavaFX – CORSA DI AUTO SU TRACCIATI REALIbenfante
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Knowledge base – direc tv’s naso development
1. Knowledge Base Development – DirecTV’s NASO
Objective: Help NASO develep dedicated infrastructure support to the
growing online streaming business.
By Jeric Derama
2. DirecTV and NASO’s objective
• To continue being a leading competitor in the
ever changing television and video distribution
market.
• With increasing competition via internet
mediums such as Netflix and Hulu as well as cable
companies’ growing use of fiber-optic technology,
creating and improving a foundation in online
streaming is vital to DirecTV.
• To do this we must work with pre-existing
infrastructures and adapt to the ever changing
market through NASO.
3. Goals in developing a Knowledge Base
• Utilizing and maintaining current and up to date company policies
and procedures.
– This can be found in documents such as the DIRECTV Code of Ethics
and Business Conduct and via Supervisors through direct consultation.
– Working with pre-existing formal work processes between Broadcast
operations teams and any other affiliated operations needed for the
growth of NASO infrastructure.
• Building upon existing infrastructures and detailed
system/hardware operation owner information.
– Understanding that as a new organization we must utilize current
infrastructures and custom - tailor it to NASO’s goals.
• Implementing a centralized environment health monitoring
dashboard.
– In all areas of the workplace.
4. Developing and utilizing NASO’s
Knowledge Base
• An efficient and cost effective way of keeping information up to date is to
have a database containing all pertinent documents uploaded online.
– All NASO documents that can possibly be uploaded will be uploaded.
– Any affiliated departments that will be working with NASO will upload any
pertinent documents to the database.
• Information between NASO and its affiliates should utilize this intranet
network to establish another form of formal communication between
teams.
– Communication between teams will allow for proper documentation to be
approved and uploaded by the NASO teams to the database.
• This intranet network will also allow for data gathering and
documentation preservation.
– Lowers document requirements to only needing one paper copy as a backup
or zeroes it in due to possible data back ups.
• Current intranet network(s) will be optimized for communication and
documentation.
5. Communication chart due to the development of an intranet
network and database optimized for online streaming and health
monitor utilization
NASO
Health and
Broadcast
Human
Teams
Resources
Intranet
and
Database
General
Mobile
Counsel and
Development
Legal Dept.
6. Communications Example Model
Broadcast teams require project
approval and technical
information.
NASO supports via Database
NASO provides all technical containing all technical and legal
documentation and information documentation as well as a form
needed to perform project. of communication for project
approval.
Broadcast team is able to see real General Counsel and affiliates
time updates due to online space keeps Database up to date on
and NASO is able to keep up to company policies and procedures
date documentation online in as well as getting real time access
Database. on pending projects.
7. Health Monitor Dashboard
• An environmental health monitor can be established on the intranet
network that can be both personalized and generalized depending on
preference and user.
– Supervisors would have higher access to said monitor to view their current
employees (all within guidelines) as well as see physical environment factors
such as weather.
– Generalized health monitoring can be physically implemented as messages on
the dashboard.
– Personalized health monitoring like the generalized health monitoring can be
implemented as messages but can contain more pertinent health information
which may be obtained via surveys and employees current health situation.
– The health monitor can be used to create and contain anonymous statistical
data on current employees to be utilized by NASO and any necessary affiliates
for further improvement on the well-being of said employees.
• A health monitor will allow supervisor’s to gain a better perspective of the
general work environment.
8. Health Dashboard Example Model
Supervisor access Health
Monitor
•Contains overall employee health
monitor.
Employee access Health
Monitor
•Contains personalized and
general health tips.
Anonymous Intranet
access Health Monitor
•Contains limited access only
providing general health tips.
9. Possible projects that could have used
proposed NASO infrastructure.
• DirecTV’s NFL Sunday Ticket
– With the deployment of the intranet and database
NASO is able to increase the efficiency between
communications and provide supporting technical
documentation to all affiliated teams such as the
Broadcast Teams and Mobile Development.
• DIRECTV’s Mobile DVR Scheduler
– The same model from NFL Sunday Ticket can be
used for the DVR Scheduler.
10. Possible future project enhanced due
to NASO infrastructure
Mobile Development Idea: Project Release and Pending
Utilizing NFL Sunday Ticket and Improvement. Documentation
Problems that may occur may
DVR Scheduler Technology to for project will be kept in
be handled efficiently time wise
be able to watch and stream NASO’s database to be used in
due to intranet.
videos of recorded videos from future related projects and
DVR project improvements.
Project Start. Project
development monitored by
Acquiring proper paperwork
affiliated departments in real
and project approval via NASO’s
time via employee updates to
intranet.
NASO intranet and database
usage.
Utilize NASO database to gain
Establish communications with
all documentation needed for
Broadcast Teams on technology.
project.