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  • Big Data – Buzz Words: What is NoSQL – Day 5 of 21

    - by Pinal Dave
    In yesterday’s blog post we explored the basic architecture of Big Data . In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – NoSQL. What is NoSQL? NoSQL stands for Not Relational SQL or Not Only SQL. Lots of people think that NoSQL means there is No SQL, which is not true – they both sound same but the meaning is totally different. NoSQL does use SQL but it uses more than SQL to achieve its goal. As per Wikipedia’s NoSQL Database Definition – “A NoSQL database provides a mechanism for storage and retrieval of data that uses looser consistency models than traditional relational databases.“ Why use NoSQL? A traditional relation database usually deals with predictable structured data. Whereas as the world has moved forward with unstructured data we often see the limitations of the traditional relational database in dealing with them. For example, nowadays we have data in format of SMS, wave files, photos and video format. It is a bit difficult to manage them by using a traditional relational database. I often see people using BLOB filed to store such a data. BLOB can store the data but when we have to retrieve them or even process them the same BLOB is extremely slow in processing the unstructured data. A NoSQL database is the type of database that can handle unstructured, unorganized and unpredictable data that our business needs it. Along with the support to unstructured data, the other advantage of NoSQL Database is high performance and high availability. Eventual Consistency Additionally to note that NoSQL Database may not provided 100% ACID (Atomicity, Consistency, Isolation, Durability) compliance.  Though, NoSQL Database does not support ACID they provide eventual consistency. That means over the long period of time all updates can be expected to propagate eventually through the system and data will be consistent. Taxonomy Taxonomy is the practice of classification of things or concepts and the principles. The NoSQL taxonomy supports column store, document store, key-value stores, and graph databases. We will discuss the taxonomy in detail in later blog posts. Here are few of the examples of the each of the No SQL Category. Column: Hbase, Cassandra, Accumulo Document: MongoDB, Couchbase, Raven Key-value : Dynamo, Riak, Azure, Redis, Cache, GT.m Graph: Neo4J, Allegro, Virtuoso, Bigdata As of now there are over 150 NoSQL Database and you can read everything about them in this single link. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – 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

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  • Good practices - database programming, unit testing

    - by Piotr Rodak
    Jason Brimhal wrote today on his blog that new book, Defensive Database Programming , written by Alex Kuznetsov ( blog ) is coming to bookstores. Alex writes about various techniques that make your code safer to run. SQL injection is not the only one vulnerability the code may be exposed to. Some other include inconsistent search patterns, unsupported character sets, locale settings, issues that may occur during high concurrency conditions, logic that breaks when certain conditions are not met. The...(read more)

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  • A Great Keyword Research Tip - How to Do the Right Keyword Research

    There are many different kinds of affiliate marketing advice being thrown out by different Internet marketing experts. They claim that it will lead to affiliate success. Most will say that an appropriate website for a certain target market would do the trick. The usual barometer, of course, is the Google ranking (these show the website traffic)-however, these hardly translate to a high amount of sales.

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  • QotD: Justin Kestelyn, Editor in Chief of Java Magazine on OpenJDK

    - by $utils.escapeXML($entry.author)
    Things have changed now. Java SE 7 is available, and Java SE 8 is on the way; Java developer conferences around the world are selling out in short order; Java skills are in high demand by recruiters; and the Java community is reinvigorated thanks to efforts including the OpenJDK project, the Adopt-a-JSR program, and—if I may be so bold—even this publication.Justin Kestelyn, Editor in Chief of the Java Magazine, in the opening 'from the editor' article in the magazine's March/April edition.

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  • New whitepaper, “Why Oracle Sun ZFS Storage Appliance for Oracle Databases?” now available.

    - by Cinzia Mascanzoni
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Databases are the backbone of today’s modern business providing transaction integrity for key business systems such as payment engines or providing the core of analytical data for decision-making. These diverse use cases require a flexible, high performance and highly available storage platform. The ZFS Storage Appliance is ideally suited with its architecture providing a platform flexible enough to meet the ever-changing availability, capacity and performance requirements from the business. In this just published white paper the authors provide both business and technical evidence of the suitability of the Oracle ZSF Storage Appliance as primary storage for Oracle Database 11gR2 environments. Click here to download the whitepaper.

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  • Maryland Institute College of Art - The Art of Efficient ERP

    - by jay.richey
    Talent Management Magazine has published an article on the Maryland Institute College of Art's (MICA) upgrade to PeopleSoft Enterprise HCM 9.0. Ted Simpson, director of administrative systems at MICA, illustrates how ERP software has helped revolutionize the way academic instituitions do business and lower costs. http://bit.ly/arFRFN

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  • .NET development on a “Retina” MacBook Pro

    - by Jeff
    The rumor that Apple would release a super high resolution version of its 15” laptop has been around for quite awhile, and one I watched closely. After more than three years with a 17” MacBook Pro, and all of the screen real estate it offered, I was ready to replace it with something much lighter. It was a fantastic machine, still doing 6 or 7 hours after 460 charge cycles, but I wanted lighter and faster. With the SSD I put in it, I was able to sell it for $750. The appeal of higher resolution goes way back, when I would plug into a projector and scale up. Consolas, as it turns out, is a nice looking font for code when it’s bigger. While I have mostly indifference for iOS, I have to admit that a higher dot pitch on the iPhone and iPad is pretty to look at. So I ordered the new 15” “Retina” model as soon as the Apple Store went live with it, and got it seven days later. I’ve been primarily using Parallels as my VM of choice from OS X for about five years. They recently put out an update for compatibility with the display, though I’m not entirely sure what that means. I figured there would have to be some messing around to get the VM to look right. The combination that seems to work best is this: Set the display in OS X to “more room,” which is roughly the equivalent of the 1920x1200 that my 17” did. It’s not as stunning as the text at the default 1440x900 equivalent (in OS X), but it’s still quite readable. Parallels still doesn’t entirely know what to do with the high resolution, though what it should do is somehow treat it as native. That flaw aside, I set the Windows 7 scaling to 125%, and it generally looks pretty good. It’s not really taking advantage of the display for sharpness, but hopefully that’s something that Parallels will figure out. Screen tweaking aside, I got the base model with 16 gigs of RAM, so I give the VM 8. I can boot a Windows 7 VM in 9 seconds. Nine seconds! The Windows Experience Index scores are all 7 and above, except for graphics, which are both at 6. Again, that’s in a VM. It’s hard to believe there’s something so fast in a little slim package like that. Hopefully this one gets me at least three years, like the last one.

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  • @CodeStock 2012 Review: Rob Gillen ( @argodev ) - Anatomy of a Buffer Overflow Attack

    Anatomy of a Buffer Overflow AttackSpeaker: Rob GillenTwitter: @argodevBlog: rob.gillenfamily.net Honestly, this talk was over my head due to my lack of knowledge of low level programming, and I think that most of the other attendees would agree. However I did get the basic concepts that we was trying to get across. Fortunately most high level programming languages handle most of the low level concerns regarding preventing buffer overflow attacks. What I got from this talk was to validate all input data from external sources.

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  • July, the 31 Days of SQL Server DMO’s – Day 20 (sys.dm_tran_locks)

    - by Tamarick Hill
    The sys.dm_tran_locks DMV is used to return active lock resources on your server. Locking is a mechanism used by SQL Server to protect the integrity of data when you have multiple users that may potentially access the same data at the same time. Let’s run a query against this DMV so we can analyze the results. SELECT * FROM sys.dm_tran_locks As we can see, its a lot of lock information returned from this DMV. I will not go into detail about each of the columns returned, but I will touch on the ones that I feel are the most important. The first column in the output is the resource_type column which tells you the type of lock a particular row represents. It could be a PAGE lock, RID, OBJECT, DATABASE, or several other lock types. The resource_database_id represents the id of the database for a particular lock resource. The resource_lock_partition column represents the ID of a lock partition. When you have a table that is partitioned, locks can be escalated to the partition level before going to a table level lock. The request_mode column gives us information about the type of lock that is being requested. From the screenshots above we see RangeS-S locks which represent a share range lock and IS locks which represent Intent Shared locks. The request_status column displays whether the lock has been granted or whether the lock is waiting to be acquired. The request_session_id  shows the session_id that is requesting the lock. This DMV is the best place to go when you need to identify the exact locks that are being held or pending for individual requests. You might need this information when you are troubleshooting severe blocking or deadlocking problems on your server. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms190345.aspx Follow me on Twitter @PrimeTimeDBA

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  • Storage Configuration

    - by jchang
    Storage performance is not inherently complicated subject. The concepts are relatively simple. In fact, scaling storage performance is far easier compared with the difficulties encounters in scaling processor performance in NUMA systems. Storage performance is achieved by properly distributing IO over: 1) multiple independent PCI-E ports (system memory and IO bandwith is key) 2) multiple RAID controllers or host bus adapters (HBAs) 3) multiple storage IO channels (SAS or FC, complete path) most importantly,...(read more)

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  • Key Techniques For Search Engine Optimization in 2010

    The art of creating web pages which will rank high in search engine returns is called Search Engine Optimization or SEO. By optimizing certain elements or sections in the HTML code of each page, SEO can be accomplished. The search engines specifically read these sections. The level of optimization can help determine the amount free referral traffic.

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  • When do I use Apache Kafka, Azure Service Bus, vs Azure Queues?

    - by makerofthings7
    I'm trying to understand the situations I'd use Apache Kafka, Azure Service Bus, or Azure Queues for high scale message processing. Which is better for standard Pub Sub situations? Where multiple clients get a copy of the same message? Which is better for low latency Pub sub and no durability? Which is better for "cooperating producer" and "competing consumer"? (what does this mean?) I see a bit of overlap in function between Kafka, Service Bus, Azure Queues

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  • Finding out if a FLAC or WAVPACK audio file is NOT originally encoded from a lossy source

    - by cornel
    Is there a way of checking that the so-called FLAC or WAVPACK audio file was originally encoded from a lossless source (WAV, CDA, APE, etc.) instead of a lossy source (MP3, AAC, ATRAC, etc.)? Say I have a lossy MP3 audio file (5.17Mb, 87% compressed from its original, source unknown). I then encode it to another lossless format, say FLAC or WAVPACK. The size increases (23.14Mb, 39% compressed from its original, source MP3)! ID tags, etc, remain the same and there's no way of checking the integrity of its origin. How do I go about doing that?

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  • Why is Lisp useful?

    - by Geek
    Lisp obviously is an advantage for the AI stuff but it doesn't appear to me that Lisp is any faster than Java, C#, or even C. I am not a master of Lisp, but I find it incredibly difficult to understand the advantage one would get in writing Business Software in Lisp. Yet it is considered as a hacker's language. Why does Paul Graham advocate Lisp? Why did ITA Software choose Lisp over other high Level languages? What value does it have over these languages?

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  • SAP va étendre le champ d'application de sa technologie « In-Memory » et réduire la complexité des environnements IT

    SAP va étendre le champ d'application de sa technologie « In-Memory » Et réduire la complexité des environnements IT Le « In-Memory » consiste à mettre en cache les données traitées par les applications plutôt que, par exemple, de faire des appels à un serveur. Chez SAP, la technologie est baptisée HANA (High-Performance Analytic Appliance). Elle peut, d'après les benchmarks de l'éditeur Allemand, aller jusqu'à diviser par 1200 le temps de traitement de certains scénarios. SAP a intégré HANA à la dernière version de

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  • Why do you like Lisp ?

    - by Geek
    Why does Paul Graham advocate Lisp? Why did ITA Software choose Lisp over other High Level languages? Lisp obviously is an advantage for the AI stuff but I don't think Lisp is any faster than Java, C# or as a matter of fact faster than C. Still it is considered as a Hackers language? I am not a master of Lisp but I find it incredibly difficult to understand the advantage one would get in writing Business Software in Lisp.

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  • Penguin's HPC Waddle

    Server Snapshot: Penguin Computing has always, as its name implies, focused on developing best practices for Linux-based systems, software and services, particularly in the HPC space.

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  • Penguin's HPC Waddle

    Server Snapshot: Penguin Computing has always, as its name implies, focused on developing best practices for Linux-based systems, software and services, particularly in the HPC space.

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  • How Geeky?

    - by DarrenFieldhouse
    I saw this on Julie Lerman’s blog and had to give it a go. I’m quite relieved to say: 54% Geek I’m glad to be a bit geeky, but wouldn’t want to score too high!!!

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