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  • SQL Developer Data Modeler: On Notes, Comments, and Comments in RDBMS

    - by thatjeffsmith
    Ah the beautiful data model. They say a picture is worth a 1,000 words. And then we have our diagrams, how many words are they worth? Our friends from the Human Relations sample schema So our models describe how the data ‘works’ – whether that be at a logical-business level, or a technical-physical level. Developers like to say that their code is self-documenting. These would be very lazy or very bad (or both) developers. Models are the same way, you should document your models with comments and notes! I have 3 basic options: Comments Comments in RDBMS Notes So what’s the difference? Comments You’re describing the entity/table or attribute/column. This information will NOT be published in the database. It will only be available to the model, and hence, folks with access to the model. Table Comments (in the design only!) Comments in RDBMS You’re doing the same thing as above, but your words will be stored IN the data dictionary of the database. Oracle allows you to store comments on the table and column definitions. So your awesome documentation is going to be viewable to anyone with access to the database. RDBMS is an acronym for Relational Database Management System – of which Oracle is one of the first commercial examples If the DDL is produced and ran against a database, these comments WILL be stored in the data dictionary. Notes A place for you to add notes, maybe from a design meeting. Or maybe you’re using this as a to-do or requirements list. Basically it’s for anything that doesn’t literally describe the object at hand – that’s what the comments are for. I totally made these up. Now these are free text fields and you can put whatever you want here. Just make sure you put stuff here that’s worth reading. And it will live on…forever.

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  • Truly understand the threshold for document set in document library in SharePoint

    - by ybbest
    Recently, I am working on an issue with threshold. The problem is that when the user navigates to a view of the document library, it displays the error message “list view threshold is exceeded”. However, in the view, it has no data. The list view threshold limit is 5000 by default for the non-admin user. This limit is not the number of items returned by your query; it is the total number of items the database needs to read to calculate the returned result set. So although the view does not return any result but to calculate the result (no data to show), it needs to access more than 5000 items in the database. To fix the issue, you need to create an index for the column that you use in the filter for the view. Let’s look at the problem in details. You can download a solution to replicate this issue here. 1. Go to Central Admin ==> Web Application Management ==>General Settings==> Click on Resource Throttling 2. Change the list view threshold in web application from 5000 to 2000 so that I can show the problem without loading more than 5000 items into the list. FROM TO 3. Go to the page that displays the approved view of the Loan application document set. It displays the message as shown below although I do not have any data returned for this view. 4. To get around this, you need to create an index column. Go to list settings and click on the Index columns. 5. Click on the “Create a new index” link. 6. Select the LoanStatus field as I use this filed as the filter to create the view. 7. After the index is created now I can access the approved view, as you can see it does not return any data. Notes: List View Threshold: Specify the maximum number of items that a database operation can involve at one time. Operations that exceed this limit are prohibited. References: SharePoint lists V: Techniques for managing large lists Manage large SharePoint lists for better performance http://blogs.technet.com/b/speschka/archive/2009/10/27/working-with-large-lists-in-sharepoint-2010-list-throttling.aspx

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  • Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the operational database in Big Data Story. In this article we will understand what is Hive and HQL in Big Data Story. Yahoo started working on PIG (we will understand that in the next blog post) for their application deployment on Hadoop. The goal of Yahoo to manage their unstructured data. Similarly Facebook started deploying their warehouse solutions on Hadoop which has resulted in HIVE. The reason for going with HIVE is because the traditional warehousing solutions are getting very expensive. What is HIVE? Hive is a datawarehouseing infrastructure for Hadoop. The primary responsibility is to provide data summarization, query and analysis. It  supports analysis of large datasets stored in Hadoop’s HDFS as well as on the Amazon S3 filesystem. The best part of HIVE is that it supports SQL-Like access to structured data which is known as HiveQL (or HQL) as well as big data analysis with the help of MapReduce. Hive is not built to get a quick response to queries but it it is built for data mining applications. Data mining applications can take from several minutes to several hours to analysis the data and HIVE is primarily used there. HIVE Organization The data are organized in three different formats in HIVE. Tables: They are very similar to RDBMS tables and contains rows and tables. Hive is just layered over the Hadoop File System (HDFS), hence tables are directly mapped to directories of the filesystems. It also supports tables stored in other native file systems. Partitions: Hive tables can have more than one partition. They are mapped to subdirectories and file systems as well. Buckets: In Hive data may be divided into buckets. Buckets are stored as files in partition in the underlying file system. Hive also has metastore which stores all the metadata. It is a relational database containing various information related to Hive Schema (column types, owners, key-value data, statistics etc.). We can use MySQL database over here. What is HiveSQL (HQL)? Hive query language provides the basic SQL like operations. Here are few of the tasks which HQL can do easily. Create and manage tables and partitions Support various Relational, Arithmetic and Logical Operators Evaluate functions Download the contents of a table to a local directory or result of queries to HDFS directory Here is the example of the HQL Query: SELECT upper(name), salesprice FROM sales; SELECT category, count(1) FROM products GROUP BY category; When you look at the above query, you can see they are very similar to SQL like queries. Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Pig. 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

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  • Data Masking for Oracle E-Business Suite

    - by Troy Kitch
    E-Business Suite customers can now use Oracle Data Masking to obscure sensitive information in non-production environments. Many organizations are inadvertently exposed when copying sensitive or regulated production data into non-production database environments for development, quality assurance or outsourcing purposes. Due to weak security controls and unmonitored access, these non-production environments have increasingly become the target of cyber criminals. Learn more about the announcement here.

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  • Extracting Data from a Source System to History Tables

    - by Derek D.
    This is a topic I find very little information written about, however it is very important that the method for extracting data be done in a way that does not hinder performance of the source system.  In this example, the goal is to extract data from a source system, into another database (or server) all [...]

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  • Importing Excel data into SSIS 2008 using Data Conversion Transformation

    Despite its benefits, SQL Server Integration Services Import Export Wizard has a number of limitations, resulting in part from a new set of rules that eliminate implicit data type conversion mechanisms present in Data Transformation Services. This article discusses a method that addresses such limitations, focusing in particular on importing the content of Excel spreadsheets into SQL Server.

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  • Design patterns to avoiding breaking the SRP while performing heavy data logging

    - by Kazark
    A class that performs both computations and data logging seems to have at least two responsibilities. Given a system for which the specifications require heavy data logging, what kind of design patterns or architectural patterns can be used to avoid bloating all the classes with logging calls every time they compute something? The decorator pattern be used (e.g. Interpolator decorated to LoggingInterpolator), but it seems that would result in a situation hardly more desirable in which almost every major class would need to be decorated with logging.

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  • Google doesn't always show rich snippets when the site uses structured data [duplicate]

    - by Sam Se
    This question is an exact duplicate of: Google Structured Data [on hold] 1 answer I'm so tired of the Google structured data recipe. After some days, it loses the image and the extra information. Then I test it again, and it shows again. Some other days in the future it might go away even if it is still showing in test tool. What i can do? I tried with RDFa and schema.org microdata.

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  • Ma este Oracle Data Mining újdonságok webcast!

    - by Fekete Zoltán
    2010. május 12-én szerdán 18 órakor a böngészonkkel kapcsolódva a következo roppant érdekes eloadást hallgathatjuk meg az Oracle BIWA keretében: BIWA SIG TechCast Series - May 12 - Data Mining Made Easy, az eloadó Charlie Berger, az Oracle adatbányászati vezetoje. Könnyen elvégezheto adatbányászat! Az Oracle Data Miner 11g Release 2 új "Work flow" grafikus felületének bevezetése. Csatlakozni az Oracle BIWA-hoz a ezen a linken ingyenesen lehet. Itt találhatjuk meg, hogyan lehet meghallgatni ezt a konferenciát: www.oraclebiwa.org

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  • Big data: An evening in the life of an actual buyer

    - by Jean-Pierre Dijcks
    Here I am, and this is an actual story of one of my evenings, trying to spend money with a company and ultimately failing. I just gave up and bought a service from another vendor, not the incumbent. Here is that story and how I think big data could actually fix this (and potentially prevent some of this from happening). In the end this story should illustrate how big data can benefit me (get me what I want without causing grief) and the company I am trying to buy something from. Note: Lots of details left out, I have no intention of being the annoyed blogger moaning about a specific company. What did I want to get? We watch TV, we have internet and we do have a land line. The land line is from a different vendor then the TV and the internet. I have decided that this makes no sense and I was going to get a bundle (no need to infer who this is, I just picked the generic bundle word as this is what I want to get) of all three services as this seems to save me money. I also want to not talk to people, I just want to click on a website when I feel like it and get it all sorted. I do think that is reality. I want to just do my shopping at 9.30pm while watching silly reruns on TV. Problem 1 - Bad links So, I'm an existing customer of the company I want to buy my bundle from. I go to the website, I click on offers. Turns out they are offers for new customers. After grumbling about how good they are, I click on offers for existing customers. Bummer, it goes to offers for new customers, so I click again on the link for offers for existing customers. No cigar... it just does not work. Big data solutions: 1) Do not show an existing customer the offers for new customers unless they are the same => This is only partially doable without login, but if a customer logs in the application should always know that this is an existing customer. But in general, imagine I do this from my home going through the internet service of this vendor to their domain... an instant filter should move me into the "existing customer route". 2) Flag dead or incorrect links => I've clicked the link for "existing customer offers" at least 3 times in under 5 seconds... Identifying patterns like this is easy in Hadoop and can very quickly make a list of potentially incorrect links. No need for realtime fixing, just the fact that this link can be pro-actively fixed across my entire web domain is a good thing. Preventative maintenance! Problem 2 - Purchase cannot be completed Apart from the fact that the browsing pattern to actually get to what I want is poorly designed, my purchase never gets past a specific point. In other words, I put something into my shopping cart and when I want to move on the application either crashes (with me going to an error page) or hangs or goes into something like chat. So I try again, and again and again. I think I tried this entire path (while being logged in!!) at least 10 times over the course of 20 minutes. I also clicked on the feedback button and, frustrated as I was, tried to explain this did not work... Big Data Solutions: 1) This web site does shopping cart analysis. I got an email next day stating I have things in my shopping cart, just click here to complete my purchase. After the above experience, this just added insult to my pain... 2) What should have happened, is a Hadoop job going over all logged in customers that are on the buy flow. It should flag anyone who is trying (multiple attempts from the same user to do the same thing), analyze the shopping card, the clicks to identify what the customers wants, his feedback provided (note: always own your own website feedback, never just farm this out!!) and in a short turn around time (30 minutes to 2 hours or so) email me with a link to complete my purchase. Not with a link to my shopping cart 12 hours later, but a link to actually achieve what I wanted... Why should this company go through the big data effort? I do believe this is relatively easy to do using our Oracle Event Processing and Big Data Appliance solutions combined. It is almost so simple (to my mind) that it makes no sense that this is not in place? But, now I am ranting... Why is this interesting? It is because of $$$$. After trying really hard, I mean I did this all in the evening, and again in the morning before going to work. I kept on failing, But I really wanted this to work... so an email that said, sorry, we noticed you tried to get a bundle (the log knows what I wanted, where I failed, so easy to generate), here is the link to click and complete your purchase. And here is 2 movies on us as an apology would have kept me as a customer, and got the additional $$$$ per month for the next couple of years. It would also lead to upsell on my phone package etc. Instead, I went to a completely different company, bought service from them. Lost money for company A, negative sentiment for company A and me telling this story at the water cooler so I'm influencing more people to think negatively about company A. All in all, a loss of easy money, a ding in sentiment and image where a relatively simple solution exists and can be in place on the software I describe routinely in this blog... For those who are coming to Openworld and maybe see value in solving the above, or are thinking of how to solve this, come visit us in Moscone North - Oracle Red Lounge or in the Engineered Systems Showcase.

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  • Backup and Recovery in Exadata environments

    - by Javier Puerta
    As with any infrastructure every Engineered Systems customer needs a Backup & Recovery solution for Data Protection. See a detailed presentation and learn about the challenges of backup & recovery and the key benefits of the ZFS Storage Applicance as a backup device for Exadata & Sparc SuperCluster. (You need to be a registered member of the Exadata Partner Community to access link above. Otherwise you will get an error. You can register here)

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  • Classic vs universal Google analytics and loss of historical data

    - by iss42
    I'm keen to use some of the new features in Google Universal Analytics. I have an old site though that I don't want to lose the historical data for. The comparisons with historical data are interesting for example. However Google doesn't appear to allow you to change a property from the classic code to the new code. Am I missing something? I'm surprised this isn't a bigger issue for many other users.

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  • Classic vs universal and loss of historical data

    - by iss42
    I'm keen to use some of the new features in Google Universal Analytics. I have an old site though that I don't want to lose the historical data for. The comparisons with historical data are interesting for example. However Google doesn't appear to allow you to change a property from the classic code to the new code. Am I missing something? I'm surprised this isn't a bigger issue for many other users.

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  • Recovering Data from a Linkstation LS-WXL/R1

    - by kingkool68
    I've been running a Buffalo Linkstation LS-WXL/R1 in RAID1 for a few weeks. Two nights ago we had a brief power outage. Yesterday when I tried to mount the disk it couldn't be found. I logged in to the web admin and it couldn't see any storage attached and no arrays available. Well this sucks. I ended up taking the disks out and mounting them to an Ubuntu virtual machine. They how up as an Array but I can't start the Array to the best of my limited knowledge. I could still see the 6 partitions, so I'm confident the data is there. I can use Photorec (http://www.cgsecurity.org/wiki/PhotoRec) to recover most of the files I want, it just takes some time. Could I make an image of the data partition and mount that in Ubuntu so I can get at the data I want through the file system? 95% of the data on my Linkstation LS-WXL/R1 is backup. I just put a few folders of images on there that I need to get back. I'm already preparing to format the disks when I'm done and re-building the RAID1 array from scratch. Any advice would be appreciated.

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  • Referencing Entity from external data model - Core Data

    - by Ben Reeves
    I have a external library which includes a core data model, I would like to add a new entity to this model which has a relationship with one of the entities from the library. I know I could modify the original, but is there a way to without needing to pollute the library? I tried just creating a new model with an entity named the same, but that doesn't work: * Terminating app due to uncaught exception 'NSInvalidArgumentException', reason: 'Can't merge models with two different entities named 'Host''

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