Search Results

Search found 75052 results on 3003 pages for 'adf bam data control prod'.

Page 3/3003 | < Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

• Book Review: Oracle ADF Real World Developer’s Guide

  - by Frank Nimphius

  Recently PACKT Publishing published "Oracle ADF Real World Developer’s Guide" by Jobinesh Purushothaman, a product manager in our team. Though already the sixth book dedicated to Oracle ADF, it has a lot of great information in it that none of the previous books covered, making it a safe buy even for those who own the other books published by Oracle Press (McGrwHill) and PACKT Publishing. More than the half of the "Oracle ADF Real World Developer’s Guide" book is dedicated to Oracle ADF Business Components in a depth and clarity that allows you to feel the expertise that Jobinesh gained in this area. If you enjoy Jobinesh blog (http://jobinesh.blogspot.co.uk/) about Oracle ADF, then, no matter what expert you are in Oracle ADF, this book makes you happy as it provides you with detail information you always wished to have. If you are new to Oracle ADF, then this book alone doesn't get you flying, but, if you have some Java background, accelerates your learning big, big, big times. Chapter 1 is an introduction to Oracle ADF and not only explains the layers but also how it compares to plain Java EE solutions (page 13). If you are new to Oracle JDeveloper and ADF, then at the end of this chapter you know how to start JDeveloper and begin your ADF development Chapter 2 starts with what Jobinesh really is good at: ADF Business Components. In this chapter you learn about the architecture ingredients of ADF Business Components: View Objects, View Links, Associations, Entities, Row Sets, Query Collections and Application Modules. This chapter also provides a introduction to ADFBC SDO services, as well as sequence diagrams for what happens when you execute queries or commit updates. Chapter 3 is dedicated to entity objects and  is one of many chapters in this book you will enjoy and never want to miss. Jobinesh explains the artifacts that make up an entity object, how to work with entities and resource bundles, and many advanced topics, including inheritance, change history tracking, custom properties, validation and cursor handling.  Chapter 4 - you guessed it - is all about View objects. Comparable to entities, you learn about the XM files and classes that make a view object, as well as how to define and work with queries. List-of-values, inheritance, polymorphism, bind variables and data filtering are interesting - and important topics that follow. Again the chapter provides helpful sequence diagrams for you to understand what happens internally within a view object. Chapter 5 focuses on advanced view object and entity object topics, like lifecycle callback methods and when you want to override them. This chapter is a good digest of Jobinesh's blog entries (which most ADF developers have in their bookmark list). Really worth reading ! Chapter 6 then is bout Application Modules. Beside of what application modules are, this chapter covers important topics like properties, passivation, activation, application module pooling, how and where to write custom logic. In addition you learn about the AM lifecycle and request sequence. Chapter 7 is about the ADF binding layer. If you are new to Oracle ADF and got lost in the more advanced ADF Business Components chapters, then this chapter is where you get back into the game. In very easy terms, Jobinesh explains what the ADF binding is, how it fits into the JSF request lifecycle and what are the metadata file involved. Chapter 8 then goes into building data bound web user interfaces. In this chapter you get the basics of JavaServer Faces (e.g. managed beans) and learn about the interaction between the JSF UI and the ADF binding layer. Later this chapter provides advanced solutions for working with tree components and list of values. Chapter 9 introduces bounded task flows and ADF controller. This is a chapter you want to read if you are new to ADF of have started. Experts don't find anything new here, which doesn't mean that it is not worth reading it (I for example, enjoyed the controller talk very much) Chapter 10 is an advanced coverage of bounded task flow and talks about contextual events  Chapter 11 is another highlight and explains error handling, trains, transactions and more. I can only recommend you read this chapter. I am aware of many documents that cover exception handling in Oracle ADF (and my Oracle Magazine article for January/February 2013 does the same), but none that covers it in such a great depth. Chapter 12 covers ADF best practices, which is a great round-up of all the tips provided in this book (without Jobinesh to repeat himself). Its all cool stuff that helps you with your ADF projects. In summary, "Oracle ADF Real World Developer’s Guide" by Jobinesh Purushothaman is a great book and addition for all Oracle ADF developers and those who want to become one. Frank

  Read the article

• SQLAuthority News – Links to Book On Line – Data Mining Algorithms (Analysis Services – Data Mining)

  - by pinaldave

  I have quite often received request for the Data Mining Algorithms details. Book Online has wonderful resources for the same. I suggest to read them here. Data Mining Algorithms (Analysis Services – Data Mining) The data mining algorithm is the mechanism that creates a data mining model. To create a model, an algorithm first analyzes a set [...]

  Read the article

• Migrating Forms to Java or ADF, the truth and no FUD

  - by Grant Ronald

  The question about migrating Forms to Java (or ADF or APEX) comes up time and time again.  I wanted to pull some core information together in a single blog post to address this question. The first question I always ask is "WHY" - Forms may still be a viable option for you so "if it ain't broke don't fix it".  Bottom line is whatever anyone tells you, its going to be a considerable effort and cost to migrate from Forms to something else so the business is going to want to know WHY you spend all those hard earned dollars switching from something that might have been serving you quite adequately. Second point, if you are going to switch, I would encourage you NOT to look at building a Forms clone.  So many times I see people trying to build an ADF application and EXACTLY mimic the Forms model - ADF is NOT a Forms clone.  You should be building to the sweet spot of your target technology, not your 20 year old client/server technology.  This is also the chance for the business to embrace change, so maybe look at new processes, channels and technology options that weren't available when you first developed your Forms applications. To help you understand what is involved, I've put together a number of resources. Thinking about migration of Forms to Java, ADF or APEX, read this to prepare yourself Oracle Forms to ADF: When, Why and How - this gives you an overview of our vision, directly from Oracle Product Management Redeveloping a Forms Application with Oracle JDeveloper and Oracle ADF.  This is a conference session from myself and Lynn Munsinger on how ADF can be used in a Forms migration/rewrite As someone who manages both Forms and ADF Product Management teams, I've a foot in either camp and am happy to see you use either tool.  However, I want you to be able to make an informed decision.  My hope is that there information sources will help you do that.

  Read the article

• SQL SERVER – Advanced Data Quality Services with Melissa Data – Azure Data Market

  - by pinaldave

  There has been much fanfare over the new SQL Server 2012, and especially around its new companion product Data Quality Services (DQS). Among the many new features is the addition of this integrated knowledge-driven product that enables data stewards everywhere to profile, match, and cleanse data. In addition to the homegrown rules that data stewards can design and implement, there are also connectors to third party providers that are hosted in the Azure Datamarket marketplace.  In this review, I leverage SQL Server 2012 Data Quality Services, and proceed to subscribe to a third party data cleansing product through the Datamarket to showcase this unique capability. Crucial Questions For the purposes of the review, I used a database I had in an Excel spreadsheet with name and address information. Upon a cursory inspection, there are miscellaneous problems with these records; some addresses are missing ZIP codes, others missing a city, and some records are slightly misspelled or have unparsed suites. With DQS, I can easily add a knowledge base to help standardize my values, such as for state abbreviations. But how do I know that my address is correct? And if my address is not correct, what should it be corrected to? The answer lies in a third party knowledge base by the acknowledged USPS certified address accuracy experts at Melissa Data. Reference Data Services Within DQS there is a handy feature to actually add reference data from many different third-party Reference Data Services (RDS) vendors. DQS simplifies the processes of cleansing, standardizing, and enriching data through custom rules and through service providers from the Azure Datamarket. A quick jump over to the Datamarket site shows me that there are a handful of providers that offer data directly through Data Quality Services. Upon subscribing to these services, one can attach a DQS domain or composite domain (fields in a record) to a reference data service provider, and begin using it to cleanse, standardize, and enrich that data. Besides what I am looking for (address correction and enrichment), it is possible to subscribe to a host of other services including geocoding, IP address reference, phone checking and enrichment, as well as name parsing, standardization, and genderization.  These capabilities extend the data quality that DQS has natively by quite a bit. For my current address correction review, I needed to first sign up to a reference data provider on the Azure Data Market site. For this example, I used Melissa Data’s Address Check Service. They offer free one-month trials, so if you wish to follow along, or need to add address quality to your own data, I encourage you to sign up with them. Once I subscribed to the desired Reference Data Provider, I navigated my browser to the Account Keys within My Account to view the generated account key, which I then inserted into the DQS Client – Configuration under the Administration area. Step by Step to Guide That was all it took to hook in the subscribed provider -Melissa Data- directly to my DQS Client. The next step was for me to attach and map in my Reference Data from the newly acquired reference data provider, to a domain in my knowledge base. On the DQS Client home screen, I selected “New Knowledge Base” under Knowledge Base Management on the left-hand side of the home screen. Under New Knowledge Base, I typed a Name and description of my new knowledge base, then proceeded to the Domain Management screen. Here I established a series of domains (fields) and then linked them all together as a composite domain (record set). Using the Create Domain button, I created the following domains according to the fields in my incoming data: Name Address Suite City State Zip I added a Suite column in my domain because Melissa Data has the ability to return missing Suites based on last name or company. And that’s a great benefit of using these third party providers, as they have data that the data steward would not normally have access to. The bottom line is, with these third party data providers, I can actually improve my data. Next, I created a composite domain (fulladdress) and added the (field) domains into the composite domain. This essentially groups our address fields together in a record to facilitate the full address cleansing they perform. I then selected my newly created composite domain and under the Reference Data tab, added my third party reference data provider –Melissa Data’s Address Check- and mapped in each domain that I had to the provider’s Schema. Now that my composite domain has been married to the Reference Data service, I can take the newly published knowledge base and create a project to cleanse and enrich my data. My next task was to create a new Data Quality project, mapping in my data source and matching it to the appropriate domain column, and then kick off the verification process. It took just a few minutes with some progress indicators indicating that it was working. When the process concluded, there was a helpful set of tabs that place the response records into categories: suggested; new; invalid; corrected (automatically); and correct. Accepting the suggestions provided by  Melissa Data allowed me to clean up all the records and flag the invalid ones. It is very apparent that DQS makes address data quality simplistic for any IT professional. Final Note As I have shown, DQS makes data quality very easy. Within minutes I was able to set up a data cleansing and enrichment routine within my data quality project, and ensure that my address data was clean, verified, and standardized against real reference data. As reviewed here, it’s easy to see how both SQL Server 2012 and DQS work to take what used to require a highly skilled developer, and empower an average business or database person to consume external services and clean data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology Tagged: DQS

  Read the article

• Oracle OpenWorld 2012: Oracle Developer Cloud, ADF-Essentials, ADF Mobile and ME!

  - by Dana Singleterry

  This year at OOW, like those from the past, will certainly be unforgettable. Lots of new announcements which I can't mention here and may not event know about are sure to surprise. I'll keep this short and sweet. For every session ADF, ADF Mobile, Oracle Developer Cloud, Integration with SOA Suite, etc... take a look at the ADF Focus Document listing all the sessions ordered by day providing time and location. For Mobile specifically check out the Mobile Focus Document. OOW 2012 actually kicks off on Sunday with Moscone North demogrounds hosting Cloud. There's also the ADF EMG User Day where you can pick up many technical tips & tricks from ADF Developers / ACE Directors from around the world. A session you shouldn't miss and a great starting point for the week if you miss Sunday's ADF EMG User Day for all of you TechoFiles is Chris Tonas's keynote for developers - Monday 10:45 am at Salon 8 in the Marriott - The Future of Development for Oracle Fusion - From Desktop to Mobile to Cloud. Then peruse the ADF Focus Document to fill out your day with the many sessions and labs on ADF. Don't forge that Wednesday afternoon (4:30 - 5:30) offers an ADF Meetup which is an excellent opportunity to catch up with the Shakers and Makers of ADF from Product Managent, to customers, to top developers leveraging the ADF technology, to ACE Directors themselves. Not to mention free beer is provided to help you wind down from a day of Techno Overload. Now for my schedule and I do hope to see some of you at one of these. OOW 2012 Schedule 10/1 Monday 9:30am – 12:00pm: JDev DemoGrounds 3:15pm – 4:15pm: Intro to Oracle ADF HOL; Marriott Marquis – Salon ¾ 4:00pm – 6:00pm: Cloud DemoGrounds 10/2 Tuesday 9:45am – 12:00pm: JDev DemoGrounds 2:00pm -4:00pm: Cloud DemoGrounds 7:30 – 9:30: Team Dinner @ Donato Enoteca; Redwood City 10/3 Wednesday 10:15pm – 11:15pm: Intro to Oracle ADF HOL; Marriott Marquis – Salon 3/4 1:15pm – 2:15pm: Oracle ADF – Lessons Learned in Real-World Implementations; Moscone South – Room 309This session takes the form of a panel that consists of three customer: Herbalife, Etiya, & Hawaii State Department of Education. During the first part of this session each customer will provide a high-level overview of their application. Following this overview I'll ask questions of the customers specific to their implementations and lessons learned through their development life-cycle. Here's the session abstract: CON3535 - Oracle ADF: Lessons Learned in Real-World Implementations This session profiles and interviews customers that have been successful in delivering compelling applications based on Oracle’s Application Development Framework (Oracle ADF). The session provides an overview of Oracle ADF, and then three customers explain the business drivers for their respective applications and solutions and if possible, provide a demonstration of the applications. Interactive questions posed to the customers after their overview will make for an exciting and dynamic format in which the customers will provide insight into real-world lessons learned in developing with Oracle ADF. 3:30pm – 4:30 pm: Developing Applications for Mobile iOS and Android Devices with Oracle ADF Mobile; Marriott Marquis – Salon 10A 4:30pm – 6:00pm: Meet and Greet ADF Developers/Customers; OTN Lounge 10/4 Thursday   11:15pm – 12:15pm: Intro to Oracle ADF HOL; Marriott Marquis – Salon 3/4 I'm sure our paths will cross at some point during the week and I look forward to seeing you at one of the many events. Enjoy OOW 2012!

  Read the article

• Now you can design ADF applications that look like Fusion Apps

  - by Grant Ronald

  One possible failure point in ADF applications (and I’ve seen happen) is getting Web designers to build the UI without any knowledge of what ADF does.  The resulting design may look pretty but might be virtually impossible to implement using ADF. To help address this Oracle have released a set of Visio templates which help guide you in “Fusion”/ADF look and feel.  I’ve been lucky enough to have some of our usability teams mock up these templates for some ADF projects I’ve been working on and they are a great help in conceptualising the final applications. You can find out more about these Visio ADF templates here.

  Read the article

• ADF Real World Developers Guide Book Review

  - by Grant Ronald

  I'm half way through my review of "Oracle ADF Real World Developer's Guide" by Jobinesh Purushothaman - unfortunately some work deadlines de-railed me from having completed my review by now but here goes.  First thing, Jobinesh works in the Oracle Product Management team with me, so is a colleague. That declaration aside, its clear that this is someone who has done the "real world" side of ADF development and that comes out in the book. In this book he addresses both the newbies and the experience developers alike.  He introduces the ADF building blocks like entity objects and view obejcts, but also goes into some of the nitty gritty details as well.  There is a pro and con to this approach; having only just learned about an entity or view object, you might then be blown away by some of the lower details of coding or lifecycle.  In that respect, you might consider this a book which you could read 3 or 4 times; maybe skipping some elements in the first read but on the next read you have a better grounding to learn the more advanced topics. One of the key issues he addresses is breaking down what happens behind the scenes.  At first, this may not seem important since you trust the framework to do everything for you - but having an understanding of what goes on is essential as you move through development.  For example, page 58 he explains the full lifecycle of what happens when you execute a query.  I think this is a great feature of his book. You see this elsewhere, for example he explains the full lifecycle of what goes on when a page is accessed : which files are involved,the JSF lifecycle etc. He also sprinkes the book with some best practices and advice which go beyond the standard features of ADF and really hits the mark in terms of "real world" advice. So in summary, this is a great ADF book, well written and covering a mass of information.  If you are brand new to ADF its still valid given it does start with the basics.  But you might want to read the book 2 or 3 times, skipping the advanced stuff on the first read.  For those who have some basics already then its going to be an awesome way to cement your knowledge and take it to the next levels.  And for the ADF experts, you are still going to pick up some great ADF nuggets.  Advice: every ADF developer should have one!

  Read the article

• Big Data – Is Big Data Relevant to me? – Big Data Questionnaires – Guest Post by Vinod Kumar

  - by Pinal Dave

  This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions of SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. I think the series from Pinal is a good one for anyone planning to start on Big Data journey from the basics. In my daily customer interactions this buzz of “Big Data” always comes up, I react generally saying – “Sir, do you really have a ‘Big Data’ problem or do you have a big Data problem?” Generally, there is a silence in the air when I ask this question. Data is everywhere in organizations – be it big data, small data, all data and for few it is bad data which is same as no data :). Wow, don’t discount me as someone who opposes “Big Data”, I am a big supporter as much as I am a critic of the abuse of this term by the people. In this post, I wanted to let my mind flow so that you can also think in the direction I want you to see these concepts. In any case, this is not an exhaustive dump of what is in my mind – but you will surely get the drift how I am going to question Big Data terms from customers!!! Is Big Data Relevant to me? Many of my customers talk to me like blank whiteboard with no idea – “why Big Data”. They want to jump into the bandwagon of technology and they want to decipher insights from their unexplored data a.k.a. unstructured data with structured data. So what are these industry scenario’s that come to mind? Here are some of them: Financials Fraud detection: Banks and Credit cards are monitoring your spending habits on real-time basis. Customer Segmentation: applies in every industry from Banking to Retail to Aviation to Utility and others where they deal with end customer who consume their products and services. Customer Sentiment Analysis: Responding to negative brand perception on social or amplify the positive perception. Sales and Marketing Campaign: Understand the impact and get closer to customer delight. Call Center Analysis: attempt to take unstructured voice recordings and analyze them for content and sentiment. Medical Reduce Re-admissions: How to build a proactive follow-up engagements with patients. Patient Monitoring: How to track Inpatient, Out-Patient, Emergency Visits, Intensive Care Units etc. Preventive Care: Disease identification and Risk stratification is a very crucial business function for medical. Claims fraud detection: There is no precise dollars that one can put here, but this is a big thing for the medical field. Retail Customer Sentiment Analysis, Customer Care Centers, Campaign Management. Supply Chain Analysis: Every sensors and RFID data can be tracked for warehouse space optimization. Location based marketing: Based on where a check-in happens retail stores can be optimize their marketing. Telecom Price optimization and Plans, Finding Customer churn, Customer loyalty programs Call Detail Record (CDR) Analysis, Network optimizations, User Location analysis Customer Behavior Analysis Insurance Fraud Detection & Analysis, Pricing based on customer Sentiment Analysis, Loyalty Management Agents Analysis, Customer Value Management This list can go on to other areas like Utility, Manufacturing, Travel, ITES etc. So as you can see, there are obviously interesting use cases for each of these industry verticals. These are just representative list. Where to start? A lot of times I try to quiz customers on a number of dimensions before starting a Big Data conversation. Are you getting the data you need the way you want it and in a timely manner? Can you get in and analyze the data you need? How quickly is IT to respond to your BI Requests? How easily can you get at the data that you need to run your business/department/project? How are you currently measuring your business? Can you get the data you need to react WITHIN THE QUARTER to impact behaviors to meet your numbers or is it always “rear-view mirror?” How are you measuring: The Brand Customer Sentiment Your Competition Your Pricing Your performance Supply Chain Efficiencies Predictive product / service positioning What are your key challenges of driving collaboration across your global business?  What the challenges in innovation? What challenges are you facing in getting more information out of your data? Note: Garbage-in is Garbage-out. Hold good for all reporting / analytics requirements Big Data POCs? A number of customers get into the realm of setting a small team to work on Big Data – well it is a great start from an understanding point of view, but I tend to ask a number of other questions to such customers. Some of these common questions are: To what degree is your advanced analytics (natural language processing, sentiment analysis, predictive analytics and classification) paired with your Big Data’s efforts? Do you have dedicated resources exploring the possibilities of advanced analytics in Big Data for your business line? Do you plan to employ machine learning technology while doing Advanced Analytics? How is Social Media being monitored in your organization? What is your ability to scale in terms of storage and processing power? Do you have a system in place to sort incoming data in near real time by potential value, data quality, and use frequency? Do you use event-driven architecture to manage incoming data? Do you have specialized data services that can accommodate different formats, security, and the management requirements of multiple data sources? Is your organization currently using or considering in-memory analytics? To what degree are you able to correlate data from your Big Data infrastructure with that from your enterprise data warehouse? Have you extended the role of Data Stewards to include ownership of big data components? Do you prioritize data quality based on the source system (that is Facebook/Twitter data has lower quality thresholds than radio frequency identification (RFID) for a tracking system)? Do your retention policies consider the different legal responsibilities for storing Big Data for a specific amount of time? Do Data Scientists work in close collaboration with Data Stewards to ensure data quality? How is access to attributes of Big Data being given out in the organization? Are roles related to Big Data (Advanced Analyst, Data Scientist) clearly defined? How involved is risk management in the Big Data governance process? Is there a set of documented policies regarding Big Data governance? Is there an enforcement mechanism or approach to ensure that policies are followed? Who is the key sponsor for your Big Data governance program? (The CIO is best) Do you have defined policies surrounding the use of social media data for potential employees and customers, as well as the use of customer Geo-location data? How accessible are complex analytic routines to your user base? What is the level of involvement with outside vendors and third parties in regard to the planning and execution of Big Data projects? What programming technologies are utilized by your data warehouse/BI staff when working with Big Data? These are some of the important questions I ask each customer who is actively evaluating Big Data trends for their organizations. These questions give you a sense of direction where to start, what to use, how to secure, how to analyze and more. Sign off Any Big data is analysis is incomplete without a compelling story. The best way to understand this is to watch Hans Rosling – Gapminder (2:17 to 6:06) videos about the third world myths. Don’t get overwhelmed with the Big Data buzz word, the destination to what your data speaks is important. In this blog post, we did not particularly look at any Big Data technologies. This is a set of questionnaire one needs to keep in mind as they embark their journey of Big Data. I did write some of the basics in my blog: Big Data – Big Hype yet Big Opportunity. Do let me know if these questions make sense?  Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

  Read the article

• Userful Resources on ADF/JSF/JDEVELOPER

  - by vijaykumar.yenne

  In most of my interactions with the partner developer community who are working on either Webcenter Projects or ADF related Projects, there are constant questions that come up on the documentation or samples or step by step instructions for novices. Though most of the resources are available online on the OTN site, there seems to be a difficulty in getting hold of the right resource for their job to be done, which i am yet to solve. However here is a list of resources that you should have been to if you in the oracle world and building rich internet based applications using JSF/ADF. 1. If you have just started with JDeveloper and wanted to the different nuances of ADF developement and want to deepen your knowledge you should definitely go through these tutorials: http://www.oracle.com/technology/products/jdev/11/cuecards111/index.html 2. Everything about JDEV - includes the IDE download, demos, sample code, best practices etc. http://www.oracle.com/technology/products/jdev/index.html 3. All About ADF: http://www.oracle.com/technology/products/adf/index.html 4. Know more about ADF Faces : http://www.oracle.com/technology/products/adf/index.html 5. If you want to deepen your knowledge here is the aggregate list of all the blogs by our internal development teams and experts from around the globe. This is really an interesting feed especially when you want to do a deep dive on various aspects and want to be an expert in the oracle UI world. http://www.connotea.org/user/jdeveloper Last but not the least, you should always leverage the entire community whenever you run into any issues : http://forums.oracle.com

  Read the article

• Great ADF Content at Collaborate 12

  - by Shay Shmeltzer

  If you are attending the Collaborate 12 conference this month in Las Vegas and you are interested in Oracle ADF you are going to be very busy. There are more than 20 sessions covering ADF and a special Wednesday ADF Enterprise Methodology Group event focused on ADF. Session range from how to get started to deep technical dives and real world war stories of customers and their implementations. Also don't forget to drop by the Oracle ADF booth at the Oracle Demoground and say hello. Here is a quick list of session that list ADF as a keyword in their content: Sun. Apr. 22 9613 A Fusion Approach to Building Unified and Scalable Applications With Rich User Experience 1:00 pm - 2:00 pm Mon. Apr. 23 669 Fusion DBA Boot Camp: Tailoring Your Application to Customer Needs in a Upgrade-safe Way - Support in ADF and Fusion Apps 9:45 am - 10:45 am Mon. Apr. 23 438 Oracle Fusion Applications Security 9:45 am - 10:45 am Mon. Apr. 23 176 How to get started with Oracle ADF 12:15 pm - 12:45 pm Mon. Apr. 23 330 Fusion DBA Boot Camp: Implementing Self-Service Portals for Partners/Distributors Using EBS/WebCenter/Fusion Technologies 1:15 pm - 2:15 pm Mon. Apr. 23 288 Working with Portlets in ADF and Webcenter 2:30 pm - 3:30 pm Tue. Apr. 24 503 Who’s Converting My Portal? 2:00 pm - 3:00 pm Tue. Apr. 24 9370 Coexistence of Oracle E-Business Suite and Oracle Fusion Applications: Platform Perspective 2:00 pm - 3:00 pm Wed. Apr. 25 647 Developing Custom BI Solutions - OBIEE vs. Oracle Application Development Framework (ADF) 9:30 am - 10:30 am Wed. Apr. 25 173 ADF: A Path to the Future for Dinosaur Nerds 11:00 am - 12:00 pm Wed. Apr. 25 581 How Will You Build Your Next System? 11:00 am - 12:00 pm Wed. Apr. 25 10351 Integrating CRM On Demand With the E-Business Suite to Supercharge Your Sales Team 1:00 pm - 2:00 pm Wed. Apr. 25 9348 Mobile,ADF, Coherence and Live Data Streaming? A Herbalife Case Study 1:00 pm - 2:00 pm Wed. Apr. 25 566 Getting Started with ADF 1:00 pm - 2:00 pm Wed. Apr. 25 775 WebCenter Portal Template Design and Development Best Practices 1:00 pm - 2:00 pm Wed. Apr. 25 791 Surfacing Oracle Social Network into Your Business Applications 1:00 pm - 2:00 pm Wed. Apr. 25 9407 The Latest Oracle E-Business Suite Release User Interface and Usability Enhancements 1:00 pm - 2:00 pm Wed. Apr. 25 100080 Extending JD Edwards with Oracle ADF and Oracle SOA Suite 3:00 pm - 4:00 pm Wed. Apr. 25 172 JDeveloper ADF and the Oracle database – friends not foes 3:00 pm - 4:00 pm Wed. Apr. 25 595 Achieving Real-Time Social Collaboration in WebCenter 11g 3:00 pm - 4:00 pm Wed. Apr. 25 164 ADF + Faces: Do I Have to Write ANY Java code? 4:15 pm - 5:15 pm Thu. Apr. 26 257 Mobile App Development with Oracle ADF Mobile: develop once and for all 8:30 am - 9:30 am Thu. Apr. 26 177 Understanding Oracle ADF and its role in Oracle Fusion Middleware 9:45 am - 10:45 am Thu. Apr. 26 523 Making Next-Generation Mobile Apps With The Latest ADF Mobile Tools 9:45 am - 10:45 am Thu. Apr. 26 356 ADF Integration with WebCenter Content 11:00 am - 12:00 pm

  Read the article

• Big Data – Basics of Big Data Architecture – Day 4 of 21

  - by Pinal Dave

  In yesterday’s blog post we understood how Big Data evolution happened. Today we will understand basics of the Big Data Architecture. Big Data Cycle Just like every other database related applications, bit data project have its development cycle. Though three Vs (link) for sure plays an important role in deciding the architecture of the Big Data projects. Just like every other project Big Data project also goes to similar phases of the data capturing, transforming, integrating, analyzing and building actionable reporting on the top of  the data. While the process looks almost same but due to the nature of the data the architecture is often totally different. Here are few of the question which everyone should ask before going ahead with Big Data architecture. Questions to Ask How big is your total database? What is your requirement of the reporting in terms of time – real time, semi real time or at frequent interval? How important is the data availability and what is the plan for disaster recovery? What are the plans for network and physical security of the data? What platform will be the driving force behind data and what are different service level agreements for the infrastructure? This are just basic questions but based on your application and business need you should come up with the custom list of the question to ask. As I mentioned earlier this question may look quite simple but the answer will not be simple. When we are talking about Big Data implementation there are many other important aspects which we have to consider when we decide to go for the architecture. Building Blocks of Big Data Architecture It is absolutely impossible to discuss and nail down the most optimal architecture for any Big Data Solution in a single blog post, however, we can discuss the basic building blocks of big data architecture. Here is the image which I have built to explain how the building blocks of the Big Data architecture works. Above image gives good overview of how in Big Data Architecture various components are associated with each other. In Big Data various different data sources are part of the architecture hence extract, transform and integration are one of the most essential layers of the architecture. Most of the data is stored in relational as well as non relational data marts and data warehousing solutions. As per the business need various data are processed as well converted to proper reports and visualizations for end users. Just like software the hardware is almost the most important part of the Big Data Architecture. In the big data architecture hardware infrastructure is extremely important and failure over instances as well as redundant physical infrastructure is usually implemented. NoSQL in Data Management NoSQL is a very famous buzz word and it really means Not Relational SQL or Not Only SQL. This is because in Big Data Architecture the data is in any format. It can be unstructured, relational or in any other format or from any other data source. To bring all the data together relational technology is not enough, hence new tools, architecture and other algorithms are invented which takes care of all the kind of data. This is collectively called NoSQL. Tomorrow Next four days we will answer the Buzz Words – Hadoop. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

  Read the article

• Big Data – Evolution of Big Data – Day 3 of 21

  - by Pinal Dave

  In yesterday’s blog post we answered what is the Big Data. Today we will understand why and how the evolution of Big Data has happened. Though the answer is very simple, I would like to tell it in the form of a history lesson. Data in Flat File In earlier days data was stored in the flat file and there was no structure in the flat file.  If any data has to be retrieved from the flat file it was a project by itself. There was no possibility of retrieving the data efficiently and data integrity has been just a term discussed without any modeling or structure around. Database residing in the flat file had more issues than we would like to discuss in today’s world. It was more like a nightmare when there was any data processing involved in the application. Though, applications developed at that time were also not that advanced the need of the data was always there and there was always need of proper data management. Edgar F Codd and 12 Rules Edgar Frank Codd was a British computer scientist who, while working for IBM, invented the relational model for database management, the theoretical basis for relational databases. He presented 12 rules for the Relational Database and suddenly the chaotic world of the database seems to see discipline in the rules. Relational Database was a promising land for all the unstructured database users. Relational Database brought into the relationship between data as well improved the performance of the data retrieval. Database world had immediately seen a major transformation and every single vendors and database users suddenly started to adopt the relational database models. Relational Database Management Systems Since Edgar F Codd proposed 12 rules for the RBDMS there were many different vendors who started them to build applications and tools to support the relationship between database. This was indeed a learning curve for many of the developer who had never worked before with the modeling of the database. However, as time passed by pretty much everybody accepted the relationship of the database and started to evolve product which performs its best with the boundaries of the RDBMS concepts. This was the best era for the databases and it gave the world extreme experts as well as some of the best products. The Entity Relationship model was also evolved at the same time. In software engineering, an Entity–relationship model (ER model) is a data model for describing a database in an abstract way. Enormous Data Growth Well, everything was going fine with the RDBMS in the database world. As there were no major challenges the adoption of the RDBMS applications and tools was pretty much universal. There was a race at times to make the developer’s life much easier with the RDBMS management tools. Due to the extreme popularity and easy to use system pretty much every data was stored in the RDBMS system. New age applications were built and social media took the world by the storm. Every organizations was feeling pressure to provide the best experience for their users based the data they had with them. While this was all going on at the same time data was growing pretty much every organization and application. Data Warehousing The enormous data growth now presented a big challenge for the organizations who wanted to build intelligent systems based on the data and provide near real time superior user experience to their customers. Various organizations immediately start building data warehousing solutions where the data was stored and processed. The trend of the business intelligence becomes the need of everyday. Data was received from the transaction system and overnight was processed to build intelligent reports from it. Though this is a great solution it has its own set of challenges. The relational database model and data warehousing concepts are all built with keeping traditional relational database modeling in the mind and it still has many challenges when unstructured data was present. Interesting Challenge Every organization had expertise to manage structured data but the world had already changed to unstructured data. There was intelligence in the videos, photos, SMS, text, social media messages and various other data sources. All of these needed to now bring to a single platform and build a uniform system which does what businesses need. The way we do business has also been changed. There was a time when user only got the features what technology supported, however, now users ask for the feature and technology is built to support the same. The need of the real time intelligence from the fast paced data flow is now becoming a necessity. Large amount (Volume) of difference (Variety) of high speed data (Velocity) is the properties of the data. The traditional database system has limits to resolve the challenges this new kind of the data presents. Hence the need of the Big Data Science. We need innovation in how we handle and manage data. We need creative ways to capture data and present to users. Big Data is Reality! Tomorrow In tomorrow’s blog post we will try to answer discuss Basics of Big Data Architecture. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

  Read the article

• Working with Temporal Data in SQL Server

  - by Dejan Sarka

  My third Pluralsight course, Working with Temporal Data in SQL Server, is published. I am really proud on the second part of the course, where I discuss optimization of temporal queries. This was a nearly impossible task for decades. First solutions appeared only lately. I present all together six solutions (and one more that is not a solution), and I invented four of them. http://pluralsight.com/training/Courses/TableOfContents/working-with-temporal-data-sql-server

  Read the article

• Book Review: Oracle ADF 11gR2 Development Beginner's Guide

  - by Grant Ronald

  Packt Publishing asked me to review Oracle ADF 11gR2 Development Beginner's Guide by Vinod Krishnan, so on a couple of long flights I managed to get through the book in a couple of sittings. One point to make clear before I go into the review.  Having authored "The Quick Start Guide to Fusion Development: JDeveloper and Oracle ADF", I've written a book which covers the same topic/beginner level.  I also think that its worth stating up front that I applaud anyone who has gone  through the effort of writing a technical book. So well done Vinod.  But on to the review: The book itself is a good break down of topic areas.  Vinod starts with a quick tour around the IDE, which is an important step given all the work you do will be through the IDE.  The book then goes through the general path that I tend to always teach: a quick overview demo, ADF BC, validation, binding, UI, task flows and then the various "add on" topics like security, MDS and advanced topics.  So it covers the right topics in, IMO, the right order.  I also think the writing style flows nicely as well - Its a relatively easy book to read, it doesn't get too formal and the "Have a go hero" hands on sections will be useful for many. That said, I did pick out a number of styles/themes to the writing that I found went against the idea of a beginners guide.  For example, in writing my book, I tried to carefully avoid talking about topics not yet covered or not yet relevant at that point in someone's learning.  So, if I was a new ADF developer reading this book, did I really need to know about ADFBindingFilter and DataBindings.cpx file on page 58 - I've only just learned how to do a drag and drop simple application so showing me XML configuration files relevant to JSF/ADF lifecycle is probably going to scare me off! I found this in a couple of places, for example, the security chapter starts on page 219 but by page 222 (and most of the preceding pages are hands-on steps) we're diving into the web.xml, weblogic.xml, adf-config.xml, jsp-config.xml and jazn-data.xml.  Don't get me wrong, I'm not saying you shouldn't know this, but I feel you have to get people on a strong grounding of the concepts before showing them implementation files.  If having just learned what ADF Security is will "The initialization parameter remove.anonymous.role is set to false for the JpsFilter filter as this filter is the first filter defined in the file" really going to help me? The other theme I found which I felt didn't work was that a couple of the chapters descended into a reference guide.  For example page 159 onwards basically lists UI components and their properties.  And page 87 onwards list the attributes of ADF BC in pretty much the same way as the on line help or developer guide, and I've a personal aversion to any sort of help that says pretty much what the attribute name is e.g. "Precision Rule: this option is used to set a strict precision rule", or "Property Set: this is the property set that has to be applied to the attribute". Hmmm, I think I could have worked that out myself, what I would want to know in a beginners guide are what are these for, what might I use them for...and if I don't need to use them to create an emp/dept example them maybe it’s better to leave them out. All that said, would the book help me - yes it would.  It’s obvious that Vinod knows ADF and his style is relatively easy going and the book covers all that it has to, but I think the book could have done a better job in the educational side of guiding beginners.

  Read the article

• New Communications Industry Data Model with "Factory Installed" Predictive Analytics using Oracle Da

  - by charlie.berger

  Oracle Introduces Oracle Communications Data Model to Provide Actionable Insight for Communications Service Providers   We've integrated pre-installed analytical methodologies with the new Oracle Communications Data Model to deliver automated, simple, yet powerful predictive analytics solutions for customers.  Churn, sentiment analysis, identifying customer segments - all things that can be anticipated and hence, preconcieved and implemented inside an applications.  Read on for more information! TM Forum Management World, Nice, France - 18 May 2010 News Facts To help communications service providers (CSPs) manage and analyze rapidly growing data volumes cost effectively, Oracle today introduced the Oracle Communications Data Model. With the Oracle Communications Data Model, CSPs can achieve rapid time to value by quickly implementing a standards-based enterprise data warehouse that features communications industry-specific reporting, analytics and data mining. The combination of the Oracle Communications Data Model, Oracle Exadata and the Oracle Business Intelligence (BI) Foundation represents the most comprehensive data warehouse and BI solution for the communications industry. Also announced today, Hong Kong Broadband Network enhanced their data warehouse system, going live on Oracle Communications Data Model in three months. The leading provider increased its subscriber base by 37 percent in six months and reduced customer churn to less than one percent. Product Details Oracle Communications Data Model provides industry-specific schema and embedded analytics that address key areas such as customer management, marketing segmentation, product development and network health. CSPs can efficiently capture and monitor critical data and transform it into actionable information to support development and delivery of next-generation services using: More than 1,300 industry-specific measurements and key performance indicators (KPIs) such as network reliability statistics, provisioning metrics and customer churn propensity. Embedded OLAP cubes for extremely fast dimensional analysis of business information. Embedded data mining models for sophisticated trending and predictive analysis. Support for multiple lines of business, such as cable, mobile, wireline and Internet, which can be easily extended to support future requirements. With Oracle Communications Data Model, CSPs can jump start the implementation of a communications data warehouse in line with communications-industry standards including the TM Forum Information Framework (SID), formerly known as the Shared Information Model. Oracle Communications Data Model is optimized for any Oracle Database 11g platform, including Oracle Exadata, which can improve call data record query performance by 10x or more. Supporting Quotes "Oracle Communications Data Model covers a wide range of business areas that are relevant to modern communications service providers and is a comprehensive solution - with its data model and pre-packaged templates including BI dashboards, KPIs, OLAP cubes and mining models. It helps us save a great deal of time in building and implementing a customized data warehouse and enables us to leverage the advanced analytics quickly and more effectively," said Yasuki Hayashi, executive manager, NTT Comware Corporation. "Data volumes will only continue to grow as communications service providers expand next-generation networks, deploy new services and adopt new business models. They will increasingly need efficient, reliable data warehouses to capture key insights on data such as customer value, network value and churn probability. With the Oracle Communications Data Model, Oracle has demonstrated its commitment to meeting these needs by delivering data warehouse tools designed to fill communications industry-specific needs," said Elisabeth Rainge, program director, Network Software, IDC. "The TM Forum Conformance Mark provides reassurance to customers seeking standards-based, and therefore, cost-effective and flexible solutions. TM Forum is extremely pleased to work with Oracle to certify its Oracle Communications Data Model solution. Upon successful completion, this certification will represent the broadest and most complete implementation of the TM Forum Information Framework to date, with more than 130 aggregate business entities," said Keith Willetts, chairman and chief executive officer, TM Forum. Supporting Resources Oracle Communications Oracle Communications Data Model Data Sheet Oracle Communications Data Model Podcast Oracle Data Warehousing Oracle Communications on YouTube Oracle Communications on Delicious Oracle Communications on Facebook Oracle Communications on Twitter Oracle Communications on LinkedIn Oracle Database on Twitter The Data Warehouse Insider Blog

  Read the article

• ADF and Oracle E-Business Suite Integration Series Index

  - by Juan Camilo Ruiz

  I'm creating this entry with the purpose of keeping one page that lists all the past and future entries on the series of integration of ADF with Oracle E-Business Suite, you can access all the articles and reference information that resides in other places too. Also this would the one link that I can reference while presenting about this topic. Here is the list of individual entries from the series: ADF and Oracle E-Business Suite Integration Series: Displaying Read-Only EBS data on ADF ADF and Oracle E-Business Suite Integration Series: Displaying Read-Only EBS data on iPad Using the Oracle E-Business Suite SDK for Java on ADF Applications Securing ADF Applications Using the Oracle E-Business Suite SDK JAAS Implementation Debugging ADF Security in JDeveloper 11g Adding a Role to a Responsibility for Use with the Oracle E-Business Suite SDK for Java JAAS Implementation Embedding ADF UI Components into OAF regions Bonus Material: Webcast Replays Using Oracle ADF with Oracle E-Business Suite: The Full Integration View Best Practices for Using Oracle E-Business Suite SDK for Java with Oracle ADF Documents FAQ for Integration of Oracle E-Business Suite and Oracle Application Development Framework (ADF) Applications (Doc ID 1296491.1)

  Read the article

• Grant Ronald and Frank Nimphius Deliver Free advanced ADF training for partners

  - by Grant Ronald

  Calling all Oracle partners.  If you are looking to get the best out of your Oracle ADF investment then you might want to consider the following free ADF training.  Frank Nimphius and I will be delivering a 5 day advanced ADF course for partners in Portugal.  This will cover topics such as task flows, contextual events, advanced ADF business components, bindings, Groovy, ADF Faces and a whole lot more.  The training is on the 9th to the 13th of July in Portugal.  As you might expect, places are limited, especially since this is a FREE event to Oracle partners.  So get registered NOW!

  Read the article

• New JDeveloper/ADF book hits the bookshelves

  - by Grant Ronald

  I've just received a nice new copy of Sten Vesterli's book Oracle ADF Enterprise Application Development - Made Simple.  I was one of the technical reviewers of the book but I'm looking forward to be able to read it end-to-end in good old fashioned book format this coming week. The book bridges the gap between those existing books that describe Oracle ADF features, and real world ADF development.  So, source control, bug tracking, estimating, testing, security, packaging etc are all covered.  Of course, every project and situation is different so the book could never supply a one-size-fits-all guide, but I think its a good addition to your ADF bookshelf.  I'll hopefully post a full review in the coming weeks. Oh, and congratulations Sten,  having gone through the pain of writing my own ADF book, I take my hat off to anyone who goes through the same journey!

  Read the article

• Oracle ADF Mobile is Here!

  - by Dana Singleterry

  Oracle ADF Mobile is production today! The full press release is now available. Oracle ADF Mobile is "An HTML5 & Java Based Framework for Developing Mobile Applications". Check out the Oracle Technology Network ADF Mobile homepage for all the details. Additional links to assist with your ADF Mobile Development include: Oracle® Fusion Middleware Mobile Developer's Guide for Oracle Application Development Framework 11g Release 2 (11.1.2.3.0) ADF Mobile Framework Tag Library Oracle Fusion Middleware Java API Reference for Oracle ADF Mobile A couple of blogs to follow with ADF Mobile demos can be found here: Oracle ADF Mobile - Develop iOS and Android Mobile Applications with Oracle ADF Developing with Oracle ADF Mobile and ADF Business Components Backend

  Read the article

• Big Data – How to become a Data Scientist and Learn Data Science? – Day 19 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the analytics in Big Data Story. In this article we will understand how to become a Data Scientist for Big Data Story. Data Scientist is a new buzz word, everyone seems to be wanting to become Data Scientist. Let us go over a few key topics related to Data Scientist in this blog post. First of all we will understand what is a Data Scientist. In the new world of Big Data, I see pretty much everyone wants to become Data Scientist and there are lots of people I have already met who claims that they are Data Scientist. When I ask what is their role, I have got a wide variety of answers. What is Data Scientist? Data scientists are the experts who understand various aspects of the business and know how to strategies data to achieve the business goals. They should have a solid foundation of various data algorithms, modeling and statistics methodology. What do Data Scientists do? Data scientists understand the data very well. They just go beyond the regular data algorithms and builds interesting trends from available data. They innovate and resurrect the entire new meaning from the existing data. They are artists in disguise of computer analyst. They look at the data traditionally as well as explore various new ways to look at the data. Data Scientists do not wait to build their solutions from existing data. They think creatively, they think before the data has entered into the system. Data Scientists are visionary experts who understands the business needs and plan ahead of the time, this tremendously help to build solutions at rapid speed. Besides being data expert, the major quality of Data Scientists is “curiosity”. They always wonder about what more they can get from their existing data and how to get maximum out of future incoming data. Data Scientists do wonders with the data, which goes beyond the job descriptions of Data Analysist or Business Analysist. Skills Required for Data Scientists Here are few of the skills a Data Scientist must have. Expert level skills with statistical tools like SAS, Excel, R etc. Understanding Mathematical Models Hands-on with Visualization Tools like Tableau, PowerPivots, D3. j’s etc. Analytical skills to understand business needs Communication skills On the technology front any Data Scientists should know underlying technologies like (Hadoop, Cloudera) as well as their entire ecosystem (programming language, analysis and visualization tools etc.) . Remember that for becoming a successful Data Scientist one require have par excellent skills, just having a degree in a relevant education field will not suffice. Final Note Data Scientists is indeed very exciting job profile. As per research there are not enough Data Scientists in the world to handle the current data explosion. In near future Data is going to expand exponentially, and the need of the Data Scientists will increase along with it. It is indeed the job one should focus if you like data and science of statistics. Courtesy: emc Tomorrow In tomorrow’s blog post we will discuss about various Big Data Learning resources. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

  Read the article

• Oracle BPM enable BAM by Peter Paul

  - by JuergenKress

  BPMN processes created in the BPM Suite can be monitored by standardized dashboard in the BPM workspace. Besides that there a default views to export Oracle BPM metrics to a data warehouse. And there is another option: BAM – Business Activity Monitoring. BAM takes the monitoring of BPMN processes one step further. BAM allows you to create more advanced dashboards and even real-time alerts. BAM enables you to make decisions based on real-time information gathered from your running processes. With BPMN processes you can use the standard Business Indicators that the BPM Suite offers you and use them to with BAM without much extra effort. However you have to enable BAM in BPM processes. Read the full article here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: BPM,BAM,BPM and BAM,Peter Paul,proces monitoring,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

  Read the article

• BizTalk - Removing BAM Activities and Views using bm.exe

  - by Stuart Brierley

  Originally posted on: http://geekswithblogs.net/StuartBrierley/archive/2013/10/16/biztalk---removing-bam-activities-and-views-using-bm.exe.aspxOn the project I am currently working on, we are making quite extensive use of BAM within our growing number of BizTalk applications, all of which are being deployed and undeployed using the excellent Deployment Framework for BizTalk 5.0.Recently I had an issue where problems on the build server had left the target development servers in a state where the BAM activities and views for a particular application were not being removed by the undeploy process and unfortunately the definition in the solution had changed meaning that I could not easily recreate the file from source control.  To get around this I used the bm.exe application from the command line to manually remove the problem BAM artifacts - bm.exe can be found at the following path:C:\Program Files (x86)\Microsoft BizTalk Server 2010\TrackingC:\Program Files (x86)\Microsoft BizTalk Server 2010\TrackingStep1 :Get the BAM Definition FileRun the following command to get the BAm definition file, containing the details of all the activities, views and alerts:bm.exe get-defxml -FileName:{Path and File Name Here}.xmlStep 2: Remove the BAM ArtifactsAt this stage I chose to manually remove each of my problem BAM activities and views using seperate command line calls.  By looking in the definition file I could see the names of the activities and views that I wanted to remove and then use the following commands to remove first the views and then the activities:bm.exe remove-view -name:{viewname}bm.exe remove-activity -name:{activityname}

  Read the article

• Updated Business Activity Monitoring (BAM) Class

  - by Gary Barg

  We have just completed an extensive upgrade to the Business Activity Monitoring course, bringing it up to PS5 level and doing some major rework of content and topic flow. This should be a GREAT course for anyone needing to learn to use BAM effectively to analyze their SOA data. Details of the Course This course explains how to use Oracle BAM to monitor enterprise business activities across an enterprise in real time. You can measure your key performance indicators (KPIs), determine whether you are meeting service-level agreements (SLAs), and take corrective action in real time. Learn To: Create dashboards and alerts using a business-friendly, wizard-based design environment Monitor BPM and BPEL processes Configure drilling, driving, and time-based filtering Create alerts Build applications with a dynamic user interface Manage BAM users and roles In addition to learning Oracle BAM architecture, you learn how to perform administrative tasks related to Oracle BAM. You create and work with the different types of message sources that send data into Oracle BAM. You build interactive, real-time, actionable dashboards, and you configure alerts on abnormal conditions. You learn how to monitor both BPEL and BPM composite applications with Oracle BAM. Lastly, you create and use Oracle BAM data control to build applications with a dynamic user interface that changes based on real-time business events. Registration The Oracle University course page with more course details and registration information, is here. The next scheduled class: Date: 5-Dec-2012 Duration: 3 days Hours: 9:00 AM – 5:00 PM CT Location: Chicago, IL Class ID: 3325708

  Read the article

• ADF Enterprise Application Development - Made Simple (Book Review)

  - by Frank Nimphius

    Sten E. Vesterli wrote the "Oracle ADF Enterprise Application Development – Made Simple" book published by Packt Publishing in 2011 http://www.packtpub.com/oracle-adf-enterprise-application-development/book A common question on OTN, but also when talking to clients or customers is about where and how to start your ADF application development. Especially when the current programming background is not in Java, but 4 GL or PLSQL, developers often look for answers to the following questions: · How long does it take to learn Oracle ADF ? · How long does it take to replace a Forms application with ADF ? · How many developers do I need? · Do I need to know Java to use ADF and if yes, how good do I need to know this? · How do I structure my programming files, organizing them in JDeveloper work spaces, projects and libraries? · What is best practices for naming Java packages and how to void naming conflicts in ADF in general? · How many Application Modules do I need or should I create? · How to test applications? Sten Vesterli answers all of the above questions and more in his book http://www.packtpub.com/oracle-adf-enterprise-application-development/book , which makes it great value add to the 3 existing Oracle ADF books. In order of complexity (which also is the order in which reading the available Oracle ADF books makes sense), in my opinion, Sten's book should come second – though it also is useful to those that are already more advanced with Oracle ADF. So if you are absolutely new to Oracle ADF, then the order of books to read to get you up on an expert level should be: 1. Grant Ronald; "Quick Start Guide to Oracle Fusion Development: Oracle JDeveloper and Oracle ADF" (McGraw Hill 2010) 2. Sten Vesterli; "Oracle ADF Enterprise Application Development – Made Simple" (Packt Publishing 2011) 3. Duncan Mills, Peter Koletzke; " Oracle JDeveloper 11g Handbook: A Guide to Fusion Web Development" (McGraw Hill 2009) 4. Frank Nimphius, Lynn Munsinger; " Oracle Fusion Developer Guide: Building Rich Internet Applications with Oracle ADF Business Components and Oracle ADF Faces" (McGraw Hill 2010) If you are not new to Oracle ADF and Orace JDeveloper, then buy Sten Vesterli's book anyway. It is worth it and you want to have it on your book shelf. See below the table of content to get a better idea of what this book covers: · Chapter 1: The ADF Proof of Concept · Chapter 2: Estimating the Effort · Chapter 3: Getting Organized · Chapter 4: Productive Teamwork · Chapter 5: Prepare to Build · Chapter 6: Building the Enterprise Application · Chapter 7: Testing your Application · Chapter 8: Look and Feel · Chapter 9: Customizing the Functionality · Chapter 10: Securing your ADF Application · Chapter 11: Package and Deliver · Appendix: Internationalization The book is written with a lot of good humor, which makes the read very enjoyable (from a geek's perspective, of course). My favorite quote – just in case you are interested - is from page 97, when Sten talks about getting organized: " Stop sending e-mails to your team. Just stop it. E-mail is so last century.…" So true, so true! This quote's runner up is the "boss key" on page 128 where Sten talks about productivity and how Oracle Team Productivity Center (TPC) can help you with this. Quotes like these stick to your brains and make sure you never forget. Go for it!

  Read the article

• Unstructured Data - The future of Data Administration

  Some have claimed that there is a problem with the way data is currently managed using the relational paradigm do to the rise of unstructured data in modern business. PCMag.com defines unstructured data as data that does not reside in a fixed location. They further explain that unstructured data refers to data in a free text form that is not bound to any specific structure. With the rise of unstructured data in the form of emails, spread sheets, images and documents the critics have a right to argue that the relational paradigm is not as effective as the object oriented data paradigm in managing this type of data. The relational paradigm relies heavily on structure and relationships in and between items of data. This type of paradigm works best in a relation database management system like Microsoft SQL, MySQL, and Oracle because data is forced to conform to a structure in the form of tables and relations can be derived from the existence of one or more tables. These critics also claim that database administrators have not kept up with reality because their primary focus in regards to data administration deals with structured data and the relational paradigm. The relational paradigm was developed in the 1970’s as a way to improve data management when compared to standard flat files. Little has changed since then, and modern database administrators need to know more than just how to handle structured data. That is why critics claim that today’s data professionals do not have the proper skills in order to store and maintain data for modern systems when compared to the skills of system designers, programmers , software engineers, and data designers  due to the industry trend of object oriented design and development. I think that they are wrong. I do not disagree that the industry is moving toward an object oriented approach to development with the potential to use more of an object oriented approach to data.   However, I think that it is business itself that is limiting database administrators from changing how data is stored because of the potential costs, and impact that might occur by altering any part of stored data. Furthermore, database administrators like all technology workers constantly are trying to improve their technical skills in order to excel in their job, so I think that accusing data professional is not just when the root cause of the lack of innovation is controlled by business, and it is business that will suffer for their inability to keep up with technology. One way for database professionals to better prepare for the future of database management is start working with data in the form of objects and so that they can extract data from the objects so that the stored information within objects can be used in relation to the data stored in a using the relational paradigm. Furthermore, I think the use of pattern matching will increase with the increased use of unstructured data because object can be selected, filtered and altered based on the existence of a pattern found within an object.

  Read the article

< Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >