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  • 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

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  • Pygame surface rotation, rect rotation or sprite rotation?

    - by Alan
    i seem to have a conceptual misunderstanding of the surface and rect object in pygame. I currently observe these objects this way: Surface Just the loaded image rect the 'hard' representation of the ingame object (sprite). Used for simplifying object moment and collision detection sprite rect and surface grouped together What i want to do is rotate my sprite. The only available method i found for rotation is pygame.transform.rotate. How do i rotate the rectangle, or even better, the whole sprite? Below is the image of how i visualize this problem.

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  • Don’t miss the live FY12 Oracle PartnerNetwork Kickoff event - 28/Jun/11

    - by pfolgado
    Register now for the live, interactive FY12 OPN Kickoff event on June 28th! Hosted by Judson Althoff, Oracle senior vice president of WW Alliances & Channels, this hour-long event will outline the opportunities for partners to increase revenue with Oracle in FY12. Oracle President, Mark Hurd, will update you on his focus for partners in FY12. You will also hear from Stein Surlien, senior vice president, EMEA Alliances & Channels, and have the opportuntity to ask him questions in a special Q&A session. In addition, we will be making a special announcement for our ISV partners, highlighting some exciting new offerings on how we will go to market together. You will also hear the latest from Oracle product executives, who will outline their priorities for the upcoming year. Please register for the OPN Partner Kickoff at Tuesday, June 28th at 2:00 pm UK/3pm CET! Don’t be left out, mark your calendar and register now!

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  • Interview with Java Champion Matjaz B. Juric on Cloud Computing, SOA, and Java EE 6

    - by [email protected]
    In a Java Champion interview Matjaz Juric of Slovenia, head of the Cloud Computing and SOA Competence Centre at the University of Maribor, and professor at the University of Ljubljana, shares insights about cloud computing, SOA and Java EE 6. Juric has worked on performance analysis and optimization of RMI-IIOP, as well as being a member of the BPEL Advisory Board, and a Java mentor and trainer.Regarding BPEL he remarks, "Probably the most important thing to understand is what should be programmed in Java and what should be programmed in BPEL. There is still some confusion. BPEL is for the process logic, while Java is for functionalities. Together, BPEL and Java form a strong alliance and enable faster development and maintenance of enterprise applications and their integrations. On the other hand, the integration between Java and BPEL could be improved. There have been different approaches, including Java snippets. I would like to see an XML data type in Java, without all the hassles with JAXB, mappings, or DOM." Read the rest of the article here.

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  • Review quality of code

    - by magol
    I have been asked to quality review two code bases. I've never done anything like that, and need advice on how to perform it and report it. Background There are two providers of code, one in VB and one in C (ISO 9899:1999 (C99)). These two programs do not work so well together, and of course, the two suppliers blames each other. I will therefore as a independent person review both codes, on a comprehensive level review the quality of the codes to find out where it is most likely that the problem lies. I will not try to find problems, but simply review the quality and how simple it is to manage and understand the code. Edit: I have yet not received much information about what the problem consists of. I've just been told that I will examine the code in terms of quality. Not so much more. I do not know the background to why they took this decision.

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  • Ancillary Objects: Separate Debug ELF Files For Solaris

    - by Ali Bahrami
    We introduced a new object ELF object type in Solaris 11 Update 1 called the Ancillary Object. This posting describes them, using material originally written during their development, the PSARC arc case, and the Solaris Linker and Libraries Manual. ELF objects contain allocable sections, which are mapped into memory at runtime, and non-allocable sections, which are present in the file for use by debuggers and observability tools, but which are not mapped or used at runtime. Typically, all of these sections exist within a single object file. Ancillary objects allow them to instead go into a separate file. There are different reasons given for wanting such a feature. One can debate whether the added complexity is worth the benefit, and in most cases it is not. However, one important case stands out — customers with very large 32-bit objects who are not ready or able to make the transition to 64-bits. We have customers who build extremely large 32-bit objects. Historically, the debug sections in these objects have used the stabs format, which is limited, but relatively compact. In recent years, the industry has transitioned to the powerful but verbose DWARF standard. In some cases, the size of these debug sections is large enough to push the total object file size past the fundamental 4GB limit for 32-bit ELF object files. The best, and ultimately only, solution to overly large objects is to transition to 64-bits. However, consider environments where: Hundreds of users may be executing the code on large shared systems. (32-bits use less memory and bus bandwidth, and on sparc runs just as fast as 64-bit code otherwise). Complex finely tuned code, where the original authors may no longer be available. Critical production code, that was expensive to qualify and bring online, and which is otherwise serving its intended purpose without issue. Users in these risk adverse and/or high scale categories have good reasons to push 32-bits objects to the limit before moving on. Ancillary objects offer these users a longer runway. Design The design of ancillary objects is intended to be simple, both to help human understanding when examining elfdump output, and to lower the bar for debuggers such as dbx to support them. The primary and ancillary objects have the same set of section headers, with the same names, in the same order (i.e. each section has the same index in both files). A single added section of type SHT_SUNW_ANCILLARY is added to both objects, containing information that allows a debugger to identify and validate both files relative to each other. Given one of these files, the ancillary section allows you to identify the other. Allocable sections go in the primary object, and non-allocable ones go into the ancillary object. A small set of non-allocable objects, notably the symbol table, are copied into both objects. As noted above, most sections are only written to one of the two objects, but both objects have the same section header array. The section header in the file that does not contain the section data is tagged with the SHF_SUNW_ABSENT section header flag to indicate its placeholder status. Compiler writers and others who produce objects can set the SUNW_SHF_PRIMARY section header flag to mark non-allocable sections that should go to the primary object rather than the ancillary. If you don't request an ancillary object, the Solaris ELF format is unchanged. Users who don't use ancillary objects do not pay for the feature. This is important, because they exist to serve a small subset of our users, and must not complicate the common case. If you do request an ancillary object, the runtime behavior of the primary object will be the same as that of a normal object. There is no added runtime cost. The primary and ancillary object together represent a logical single object. This is facilitated by the use of a single set of section headers. One can easily imagine a tool that can merge a primary and ancillary object into a single file, or the reverse. (Note that although this is an interesting intellectual exercise, we don't actually supply such a tool because there's little practical benefit above and beyond using ld to create the files). Among the benefits of this approach are: There is no need for per-file symbol tables to reflect the contents of each file. The same symbol table that would be produced for a standard object can be used. The section contents are identical in either case — there is no need to alter data to accommodate multiple files. It is very easy for a debugger to adapt to these new files, and the processing involved can be encapsulated in input/output routines. Most of the existing debugger implementation applies without modification. The limit of a 4GB 32-bit output object is now raised to 4GB of code, and 4GB of debug data. There is also the future possibility (not currently supported) to support multiple ancillary objects, each of which could contain up to 4GB of additional debug data. It must be noted however that the 32-bit DWARF debug format is itself inherently 32-bit limited, as it uses 32-bit offsets between debug sections, so the ability to employ multiple ancillary object files may not turn out to be useful. Using Ancillary Objects (From the Solaris Linker and Libraries Guide) By default, objects contain both allocable and non-allocable sections. Allocable sections are the sections that contain executable code and the data needed by that code at runtime. Non-allocable sections contain supplemental information that is not required to execute an object at runtime. These sections support the operation of debuggers and other observability tools. The non-allocable sections in an object are not loaded into memory at runtime by the operating system, and so, they have no impact on memory use or other aspects of runtime performance no matter their size. For convenience, both allocable and non-allocable sections are normally maintained in the same file. However, there are situations in which it can be useful to separate these sections. To reduce the size of objects in order to improve the speed at which they can be copied across wide area networks. To support fine grained debugging of highly optimized code requires considerable debug data. In modern systems, the debugging data can easily be larger than the code it describes. The size of a 32-bit object is limited to 4 Gbytes. In very large 32-bit objects, the debug data can cause this limit to be exceeded and prevent the creation of the object. To limit the exposure of internal implementation details. Traditionally, objects have been stripped of non-allocable sections in order to address these issues. Stripping is effective, but destroys data that might be needed later. The Solaris link-editor can instead write non-allocable sections to an ancillary object. This feature is enabled with the -z ancillary command line option. $ ld ... -z ancillary[=outfile] ...By default, the ancillary file is given the same name as the primary output object, with a .anc file extension. However, a different name can be provided by providing an outfile value to the -z ancillary option. When -z ancillary is specified, the link-editor performs the following actions. All allocable sections are written to the primary object. In addition, all non-allocable sections containing one or more input sections that have the SHF_SUNW_PRIMARY section header flag set are written to the primary object. All remaining non-allocable sections are written to the ancillary object. The following non-allocable sections are written to both the primary object and ancillary object. .shstrtab The section name string table. .symtab The full non-dynamic symbol table. .symtab_shndx The symbol table extended index section associated with .symtab. .strtab The non-dynamic string table associated with .symtab. .SUNW_ancillary Contains the information required to identify the primary and ancillary objects, and to identify the object being examined. The primary object and all ancillary objects contain the same array of sections headers. Each section has the same section index in every file. Although the primary and ancillary objects all define the same section headers, the data for most sections will be written to a single file as described above. If the data for a section is not present in a given file, the SHF_SUNW_ABSENT section header flag is set, and the sh_size field is 0. This organization makes it possible to acquire a full list of section headers, a complete symbol table, and a complete list of the primary and ancillary objects from either of the primary or ancillary objects. The following example illustrates the underlying implementation of ancillary objects. An ancillary object is created by adding the -z ancillary command line option to an otherwise normal compilation. The file utility shows that the result is an executable named a.out, and an associated ancillary object named a.out.anc. $ cat hello.c #include <stdio.h> int main(int argc, char **argv) { (void) printf("hello, world\n"); return (0); } $ cc -g -zancillary hello.c $ file a.out a.out.anc a.out: ELF 32-bit LSB executable 80386 Version 1 [FPU], dynamically linked, not stripped, ancillary object a.out.anc a.out.anc: ELF 32-bit LSB ancillary 80386 Version 1, primary object a.out $ ./a.out hello worldThe resulting primary object is an ordinary executable that can be executed in the usual manner. It is no different at runtime than an executable built without the use of ancillary objects, and then stripped of non-allocable content using the strip or mcs commands. As previously described, the primary object and ancillary objects contain the same section headers. To see how this works, it is helpful to use the elfdump utility to display these section headers and compare them. The following table shows the section header information for a selection of headers from the previous link-edit example. Index Section Name Type Primary Flags Ancillary Flags Primary Size Ancillary Size 13 .text PROGBITS ALLOC EXECINSTR ALLOC EXECINSTR SUNW_ABSENT 0x131 0 20 .data PROGBITS WRITE ALLOC WRITE ALLOC SUNW_ABSENT 0x4c 0 21 .symtab SYMTAB 0 0 0x450 0x450 22 .strtab STRTAB STRINGS STRINGS 0x1ad 0x1ad 24 .debug_info PROGBITS SUNW_ABSENT 0 0 0x1a7 28 .shstrtab STRTAB STRINGS STRINGS 0x118 0x118 29 .SUNW_ancillary SUNW_ancillary 0 0 0x30 0x30 The data for most sections is only present in one of the two files, and absent from the other file. The SHF_SUNW_ABSENT section header flag is set when the data is absent. The data for allocable sections needed at runtime are found in the primary object. The data for non-allocable sections used for debugging but not needed at runtime are placed in the ancillary file. A small set of non-allocable sections are fully present in both files. These are the .SUNW_ancillary section used to relate the primary and ancillary objects together, the section name string table .shstrtab, as well as the symbol table.symtab, and its associated string table .strtab. It is possible to strip the symbol table from the primary object. A debugger that encounters an object without a symbol table can use the .SUNW_ancillary section to locate the ancillary object, and access the symbol contained within. The primary object, and all associated ancillary objects, contain a .SUNW_ancillary section that allows all the objects to be identified and related together. $ elfdump -T SUNW_ancillary a.out a.out.anc a.out: Ancillary Section: .SUNW_ancillary index tag value [0] ANC_SUNW_CHECKSUM 0x8724 [1] ANC_SUNW_MEMBER 0x1 a.out [2] ANC_SUNW_CHECKSUM 0x8724 [3] ANC_SUNW_MEMBER 0x1a3 a.out.anc [4] ANC_SUNW_CHECKSUM 0xfbe2 [5] ANC_SUNW_NULL 0 a.out.anc: Ancillary Section: .SUNW_ancillary index tag value [0] ANC_SUNW_CHECKSUM 0xfbe2 [1] ANC_SUNW_MEMBER 0x1 a.out [2] ANC_SUNW_CHECKSUM 0x8724 [3] ANC_SUNW_MEMBER 0x1a3 a.out.anc [4] ANC_SUNW_CHECKSUM 0xfbe2 [5] ANC_SUNW_NULL 0 The ancillary sections for both objects contain the same number of elements, and are identical except for the first element. Each object, starting with the primary object, is introduced with a MEMBER element that gives the file name, followed by a CHECKSUM that identifies the object. In this example, the primary object is a.out, and has a checksum of 0x8724. The ancillary object is a.out.anc, and has a checksum of 0xfbe2. The first element in a .SUNW_ancillary section, preceding the MEMBER element for the primary object, is always a CHECKSUM element, containing the checksum for the file being examined. The presence of a .SUNW_ancillary section in an object indicates that the object has associated ancillary objects. The names of the primary and all associated ancillary objects can be obtained from the ancillary section from any one of the files. It is possible to determine which file is being examined from the larger set of files by comparing the first checksum value to the checksum of each member that follows. Debugger Access and Use of Ancillary Objects Debuggers and other observability tools must merge the information found in the primary and ancillary object files in order to build a complete view of the object. This is equivalent to processing the information from a single file. This merging is simplified by the primary object and ancillary objects containing the same section headers, and a single symbol table. The following steps can be used by a debugger to assemble the information contained in these files. Starting with the primary object, or any of the ancillary objects, locate the .SUNW_ancillary section. The presence of this section identifies the object as part of an ancillary group, contains information that can be used to obtain a complete list of the files and determine which of those files is the one currently being examined. Create a section header array in memory, using the section header array from the object being examined as an initial template. Open and read each file identified by the .SUNW_ancillary section in turn. For each file, fill in the in-memory section header array with the information for each section that does not have the SHF_SUNW_ABSENT flag set. The result will be a complete in-memory copy of the section headers with pointers to the data for all sections. Once this information has been acquired, the debugger can proceed as it would in the single file case, to access and control the running program. Note - The ELF definition of ancillary objects provides for a single primary object, and an arbitrary number of ancillary objects. At this time, the Oracle Solaris link-editor only produces a single ancillary object containing all non-allocable sections. This may change in the future. Debuggers and other observability tools should be written to handle the general case of multiple ancillary objects. ELF Implementation Details (From the Solaris Linker and Libraries Guide) To implement ancillary objects, it was necessary to extend the ELF format to add a new object type (ET_SUNW_ANCILLARY), a new section type (SHT_SUNW_ANCILLARY), and 2 new section header flags (SHF_SUNW_ABSENT, SHF_SUNW_PRIMARY). In this section, I will detail these changes, in the form of diffs to the Solaris Linker and Libraries manual. Part IV ELF Application Binary Interface Chapter 13: Object File Format Object File Format Edit Note: This existing section at the beginning of the chapter describes the ELF header. There's a table of object file types, which now includes the new ET_SUNW_ANCILLARY type. e_type Identifies the object file type, as listed in the following table. NameValueMeaning ET_NONE0No file type ET_REL1Relocatable file ET_EXEC2Executable file ET_DYN3Shared object file ET_CORE4Core file ET_LOSUNW0xfefeStart operating system specific range ET_SUNW_ANCILLARY0xfefeAncillary object file ET_HISUNW0xfefdEnd operating system specific range ET_LOPROC0xff00Start processor-specific range ET_HIPROC0xffffEnd processor-specific range Sections Edit Note: This overview section defines the section header structure, and provides a high level description of known sections. It was updated to define the new SHF_SUNW_ABSENT and SHF_SUNW_PRIMARY flags and the new SHT_SUNW_ANCILLARY section. ... sh_type Categorizes the section's contents and semantics. Section types and their descriptions are listed in Table 13-5. sh_flags Sections support 1-bit flags that describe miscellaneous attributes. Flag definitions are listed in Table 13-8. ... Table 13-5 ELF Section Types, sh_type NameValue . . . SHT_LOSUNW0x6fffffee SHT_SUNW_ancillary0x6fffffee . . . ... SHT_LOSUNW - SHT_HISUNW Values in this inclusive range are reserved for Oracle Solaris OS semantics. SHT_SUNW_ANCILLARY Present when a given object is part of a group of ancillary objects. Contains information required to identify all the files that make up the group. See Ancillary Section. ... Table 13-8 ELF Section Attribute Flags NameValue . . . SHF_MASKOS0x0ff00000 SHF_SUNW_NODISCARD0x00100000 SHF_SUNW_ABSENT0x00200000 SHF_SUNW_PRIMARY0x00400000 SHF_MASKPROC0xf0000000 . . . ... SHF_SUNW_ABSENT Indicates that the data for this section is not present in this file. When ancillary objects are created, the primary object and any ancillary objects, will all have the same section header array, to facilitate merging them to form a complete view of the object, and to allow them to use the same symbol tables. Each file contains a subset of the section data. The data for allocable sections is written to the primary object while the data for non-allocable sections is written to an ancillary file. The SHF_SUNW_ABSENT flag is used to indicate that the data for the section is not present in the object being examined. When the SHF_SUNW_ABSENT flag is set, the sh_size field of the section header must be 0. An application encountering an SHF_SUNW_ABSENT section can choose to ignore the section, or to search for the section data within one of the related ancillary files. SHF_SUNW_PRIMARY The default behavior when ancillary objects are created is to write all allocable sections to the primary object and all non-allocable sections to the ancillary objects. The SHF_SUNW_PRIMARY flag overrides this behavior. Any output section containing one more input section with the SHF_SUNW_PRIMARY flag set is written to the primary object without regard for its allocable status. ... Two members in the section header, sh_link, and sh_info, hold special information, depending on section type. Table 13-9 ELF sh_link and sh_info Interpretation sh_typesh_linksh_info . . . SHT_SUNW_ANCILLARY The section header index of the associated string table. 0 . . . Special Sections Edit Note: This section describes the sections used in Solaris ELF objects, using the types defined in the previous description of section types. It was updated to define the new .SUNW_ancillary (SHT_SUNW_ANCILLARY) section. Various sections hold program and control information. Sections in the following table are used by the system and have the indicated types and attributes. Table 13-10 ELF Special Sections NameTypeAttribute . . . .SUNW_ancillarySHT_SUNW_ancillaryNone . . . ... .SUNW_ancillary Present when a given object is part of a group of ancillary objects. Contains information required to identify all the files that make up the group. See Ancillary Section for details. ... Ancillary Section Edit Note: This new section provides the format reference describing the layout of a .SUNW_ancillary section and the meaning of the various tags. Note that these sections use the same tag/value concept used for dynamic and capabilities sections, and will be familiar to anyone used to working with ELF. In addition to the primary output object, the Solaris link-editor can produce one or more ancillary objects. Ancillary objects contain non-allocable sections that would normally be written to the primary object. When ancillary objects are produced, the primary object and all of the associated ancillary objects contain a SHT_SUNW_ancillary section, containing information that identifies these related objects. Given any one object from such a group, the ancillary section provides the information needed to identify and interpret the others. This section contains an array of the following structures. See sys/elf.h. typedef struct { Elf32_Word a_tag; union { Elf32_Word a_val; Elf32_Addr a_ptr; } a_un; } Elf32_Ancillary; typedef struct { Elf64_Xword a_tag; union { Elf64_Xword a_val; Elf64_Addr a_ptr; } a_un; } Elf64_Ancillary; For each object with this type, a_tag controls the interpretation of a_un. a_val These objects represent integer values with various interpretations. a_ptr These objects represent file offsets or addresses. The following ancillary tags exist. Table 13-NEW1 ELF Ancillary Array Tags NameValuea_un ANC_SUNW_NULL0Ignored ANC_SUNW_CHECKSUM1a_val ANC_SUNW_MEMBER2a_ptr ANC_SUNW_NULL Marks the end of the ancillary section. ANC_SUNW_CHECKSUM Provides the checksum for a file in the c_val element. When ANC_SUNW_CHECKSUM precedes the first instance of ANC_SUNW_MEMBER, it provides the checksum for the object from which the ancillary section is being read. When it follows an ANC_SUNW_MEMBER tag, it provides the checksum for that member. ANC_SUNW_MEMBER Specifies an object name. The a_ptr element contains the string table offset of a null-terminated string, that provides the file name. An ancillary section must always contain an ANC_SUNW_CHECKSUM before the first instance of ANC_SUNW_MEMBER, identifying the current object. Following that, there should be an ANC_SUNW_MEMBER for each object that makes up the complete set of objects. Each ANC_SUNW_MEMBER should be followed by an ANC_SUNW_CHECKSUM for that object. A typical ancillary section will therefore be structured as: TagMeaning ANC_SUNW_CHECKSUMChecksum of this object ANC_SUNW_MEMBERName of object #1 ANC_SUNW_CHECKSUMChecksum for object #1 . . . ANC_SUNW_MEMBERName of object N ANC_SUNW_CHECKSUMChecksum for object N ANC_SUNW_NULL An object can therefore identify itself by comparing the initial ANC_SUNW_CHECKSUM to each of the ones that follow, until it finds a match. Related Other Work The GNU developers have also encountered the need/desire to support separate debug information files, and use the solution detailed at http://sourceware.org/gdb/onlinedocs/gdb/Separate-Debug-Files.html. At the current time, the separate debug file is constructed by building the standard object first, and then copying the debug data out of it in a separate post processing step, Hence, it is limited to a total of 4GB of code and debug data, just as a single object file would be. They are aware of this, and I have seen online comments indicating that they may add direct support for generating these separate files to their link-editor. It is worth noting that the GNU objcopy utility is available on Solaris, and that the Studio dbx debugger is able to use these GNU style separate debug files even on Solaris. Although this is interesting in terms giving Linux users a familiar environment on Solaris, the 4GB limit means it is not an answer to the problem of very large 32-bit objects. We have also encountered issues with objcopy not understanding Solaris-specific ELF sections, when using this approach. The GNU community also has a current effort to adapt their DWARF debug sections in order to move them to separate files before passing the relocatable objects to the linker. The details of Project Fission can be found at http://gcc.gnu.org/wiki/DebugFission. The goal of this project appears to be to reduce the amount of data seen by the link-editor. The primary effort revolves around moving DWARF data to separate .dwo files so that the link-editor never encounters them. The details of modifying the DWARF data to be usable in this form are involved — please see the above URL for details.

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  • Windows Workflow Foundation in .NET4

    Windows Workflow Foundation (WF4) in .NET 4 is designed to make it easier for new developers to learn, addresses a wider range of customer scenarios, and is more efficient.  WF is a programming model for composing application logic and coordinating execution, allowing developers to abstract complicated code while leveraging a set of runtime services.  Activities are the building blocks that are composed together to build workflows.  The runtime provides the ability to save the state...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • BPM Business Value Patterns

    - by JuergenKress
    Together with Matthias Ziegler from Accenture we presented the BPM Business Value Patterns at the SOA & BPM Integration Days in Germany in October: BPM Business Value Patterns View more presentations by Jürgen Kress Please visit the website http://soa-bpm-days.de/  for the next SOA & BPM Integration Days III February 29th & March 1st in Munich If you'd like to learn more please feel free to contact us any time: Matthias Ziegler Jürgen Kress For regular information on Oracle SOA Suite become a member of the SOA Partner Community. To register please visit  www.oracle.com/goto/emea/soa (OPN account required) Blog Twitter LinkedIn Mix Forum Technorati Tags: Matthias Ziegler,Jürgen Kress,SOA & BPM Integration Days,BPM,BPM Value Patterns,BPM ROI,Oracle,OPN,Accenture

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  • SQLAuthority News – Why VoIP Service Providers Should Think About NuoDB’s Geo Distribution

    - by Pinal Dave
    You can always tell when someone’s showing off their cool, cutting edge comms technology. They tend to raise their voice a lot. Back in the day they’d announce their gadget leadership to the rest of the herd by shouting into their cellphone. Usually the message was no more urgent than “Hi, I’m on my cellphone!” Now the same types will loudly name-drop a different technology to the rest of the airport lounge. “I’m leveraging the wifi,” a fellow passenger bellowed, the other day, as we filtered through the departure gate. Nobody needed to know that, but the subtext was “look at me everybody”. You can tell the really advanced mobile user – they tend to whisper. Their handset has a microphone (how cool is that!) and they know how to use it. Sometimes these shouty public broadcasters aren’t even connected anyway because the database for their Voice over IP (VoIP) platform can’t cope. This will happen if they are using a traditional SQL model to try and cope with a phone network which has far flung offices and hundreds of mobile employees. That, like shouting into your phone, is just wrong on so many levels. What VoIP needs now is a single, logical database across multiple servers in different geographies. It needs to be updated in real-time and automatically scaled out during times of peak demand. A VoIP system should scale up to handle increased traffic, but just as importantly is must then go back down in the off peak hours. Try this with a MySQL database. It can’t scale easily enough, so it will keep your developers busy. They’ll have spent many hours trying to knit the different databases together. Traditional relational databases can possibly achieve this, at a price. Mind you, you could extend baked bean cans and string to every point on the network and that would be no less elegant. That’s not really following engineering principles though is it? Having said that, most telcos and VoIP systems use a separate, independent solution for each office location, which they link together – loosely.  The more office locations, the more complex and expensive the solution becomes and so the more you spend on maintenance. Ideally, you’d have a fluid system that can automatically shift its shape as the need arises. That’s the point of software isn’t it – it adapts. Otherwise, we might as well return to the old days. A MySQL system isn’t exactly baked bean cans attached by string, but it’s closer in spirit to the old many teethed mechanical beast that was employed in the first type of automated switchboard. NuoBD’s NewSQL is designed to be a single database that works across multiple servers, which can scale easily, and scale on demand. That’s one system that gives high connectivity but no latency, complexity or maintenance issues. MySQL works in some circumstances, but a period of growth isn’t one of them. So as a company moves forward, the MySQL database can’t keep pace. Data storage and data replication errors creep in. Soon the diaspora of offices becomes a problem. Your telephone system isn’t just distributed, it is literally all over the place. Though voice calls are often a software function, some of the old habits of telephony remain. When you call an engineer out, some of them will listen to what you’re asking for and announce that it cannot be done. This is what happens if you ask, say, database engineers familiar with Oracle or Microsoft to fulfill your wish for a low maintenance system built on a single, fluid, scalable database. No can do, they’d say. In fact, I heard one shouting something similar into his VoIP handset at the airport. “I can’t get on the network, Mac. I’m on MySQL.” You can download NuoDB from here. “NuoDB provides the ability to replicate data globally in real-time, which is not available with any other product offering,” states Weeks.  “That alone is remarkable and it works. I’ve seen it. I’ve used it.  I’ve tested it. The ability to deploy NuoDB removes a tremendous burden from our support and engineering teams.” Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: NuoDB

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  • AjaxToolKit - ModalPopup conflicts with the current stable version

    - by Guilherme Cardoso
    For those who are using the current stable version of AjaxToolKit (40 412) will face an annoying problem. The ModalPopup cannot be used together with an UpdatePanel and one textbox. This is because during the postback, the value of the textbox will be changed and added a comma. That is, if we use a ModalPopup to have a form and then we add a database, the value "Antonio" in the text box will be entered as "Antonio." I've been researching a bit and this bug is even launching this version. To counter this I'm using the stable 30 512 May 2009 - http://ajaxcontroltoolkit.codeplex.com/releases/view/27326 One detail I noticed was that the ModalPopup OkControlID on the property. If we define the event does not occur (example: If this button is add the data to the database, the panel controlled by ModalPopup disappears but not to add the event occurs). Therefore it is best not declare anything on this property, it works without problems the same.

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  • Sort Your Emails by Conversation in Outlook 2010

    - by Matthew Guay
    Do you prefer the way Gmail sorts your emails by conversation?  Here’s how you can use this handy feature in Outlook 2010 too. One exciting new feature in Outlook 2010 is the ability to sort and link your emails by conversation.  This makes it easier to know what has been discussed in emails, and helps you keep your inbox more tidy.  Some users don’t like their emails linked into conversations, and in the final release of Outlook 2010 it is turned off by default.  Since this is a new feature, new users may overlook it and never know it’s available.  Here’s how you can enable conversation view and keep your email conversations accessible and streamlined. Activate Conversation View By default, your inbox in Outlook 2010 will look much like it always has in Outlook…a list of individual emails. To view your emails by conversation, select the View tab and check the Show as Conversations box on the top left. Alternately, click on the Arrange By tab above your emails, and select Show as Conversations. Outlook will ask if you want to activate conversation view in only this folder or all folders.  Choose All folders to view all emails in Outlook in conversations. Outlook will now resort your inbox, linking emails in the same conversation together.  Individual emails that don’t belong to a conversation will look the same as before, while conversations will have a white triangle carrot on the top left of the message title.  Select the message to read the latest email in the conversation. Or, click the triangle to see all of the messages in the conversation.  Now you can select and read any one of them. Most email programs and services include the previous email in the body of an email when you reply.  Outlook 2010 can recognize these previous messages as well.  You can navigate between older and newer messages from popup Next and Previous buttons that appear when you hover over the older email’s header.  This works both in the standard Outlook preview pane and when you open an email in its own window.   Edit Conversation View Settings Back in the Outlook View tab, you can tweak your conversation view to work the way you want.  You can choose to have Outlook Always Expand Conversations, Show Senders Above the Subject, and to Use Classic Indented View.  By default, Outlook will show messages from other folders in the conversation, which is generally helpful; however, if you don’t like this, you can uncheck it here.  All of these settings will stay the same across all of your Outlook accounts. If you choose Indented View, it will show the title on the top and then an indented message entry underneath showing the name of the sender. The Show Senders Above the Subject view makes it more obvious who the email is from and who else is active in the conversation.  This is especially useful if you usually only email certain people about certain topics, making the subject lines less relevant. Or, if you decide you don’t care for conversation view, you can turn it off by unchecking the box in the View tab as above. Conclusion Although it may take new users some time to get used to, conversation view can be very helpful in keeping your inbox organized and letting important emails stay together.  If you’re a Gmail user syncing your email account with Outlook, you may find this useful as it makes Outlook 2010 work more like Gmail, even when offline. If you’d like to sync your Gmail account with Outlook 2010, check out our articles on syncing it with POP3 and IMAP. Similar Articles Productive Geek Tips Automatically Move Daily Emails to Specific Folders in OutlookQuickly Clean Your Inbox in Outlook 2003/2007Find Emails With Attachments with Outlook 2007’s Instant SearchAdd Your Gmail Account to Outlook 2010 using POPSchedule Auto Send & Receive in Microsoft Outlook TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 VMware Workstation 7 Acronis Online Backup The iPod Revolution Ultimate Boot CD can help when disaster strikes Windows Firewall with Advanced Security – How To Guides Sculptris 1.0, 3D Drawing app AceStock, a Tiny Desktop Quote Monitor Gmail Button Addon (Firefox)

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  • MySQL Query Cache

    - by BRADINO
    According to MySQL.com the query cache stores the text of a SELECT statement together with the corresponding result that was sent to the client. If an identical statement is received later, the server retrieves the results from the query cache rather than parsing and executing the statement again. The query cache is shared among sessions, so a result set generated by one client can be sent in response to the same query issued by another client. Purely hypothetical example: SELECT `name` FROM `beers` WHERE `favorite` = true To force the database NOT to give you a cached result simply add SQL_NO_CACHE to the query: SELECT SQL_NO_CACHE `name` FROM `beers` WHERE `favorite` = true mysql query cache sql no cache mysql nocache

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  • The road from software support to software development

    - by brokenisfixed
    I am at a crossroad - I've been working for whole 4 years as a support person fixing countless bugs, developing (minimal) changes and improvements to our software, working together with our clients and users. I started as a complete noob, without a good understanding of .NET, C#, SQL Server, etc. I had to work late nights and weekends just to catch up to my co-workers and to prove to myself that I am capable to do the work and do it good. I don't consider myself an expert in those fields, but I feel pretty comfortable working with them ;) I think I have had enough of it and I want changes - I want to move away from support and start working as a developer ;) If there is anyone who has gone this road before? Could you, please, share an advice or two?

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  • Reach for the Stars…Even if you Miss you’ll Land in the Cloud

    - by Kristin Rose
    “You make investment in the next generation of technology, while continuing to invest in your existing.” – Larry Ellison Last week’s Oracle Cloud and Oracle Platinum Services announcement highlighted some of the exciting ways in which Oracle made the switch from being an On-Premise Application provider to both an On-Premise and Cloud Application provider. The announcement was lead by Oracle CEO Larry Ellison, and Oracle President Mark Hurd. Together they announced the industry’s broadest and most advanced Cloud strategy and introduced Oracle Cloud Social Services, a broad Enterprise Social Platform offering. Attendees also anxiously awaited Larry’s first tweet.Be sure to watch the webcast replay below to learn more about the new developments in Oracle's Cloud strategy, and game-changing advances in Oracle Support. Sending you Cloud Dreams and Twitter Wishes,The OPN Communications Team

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  • The Evolution of Link’s Swords [Wallpaper]

    - by Jason Fitzpatrick
    If you’re a fan of all things Legend of Zelda, this high-resolution wallpaper showcases all the swords from every Legend of Zelda game. In addition to the wallpaper that gathers all the swords together in one place, you can also check out the description on the wallpaper’s Deviant Art page to grab high-resolution images of each individual sword. Hit up the link below to grab both the wallpaper and the individual renderings. The Evolution of Link’s Swords [Deviant Art] 7 Ways To Free Up Hard Disk Space On Windows HTG Explains: How System Restore Works in Windows HTG Explains: How Antivirus Software Works

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  • The Complementary Roles of PLM and PIM

    - by Ulf Köster
    Oracle Product Value Chain Solutions (aka Enterprise PLM Solutions) are a comprehensive set of product management solutions that work together to provide Oracle customers with a broad array of capabilities to manage all aspects of product life: innovation, design, launch, and supply chain / commercialization processes beyond the capabilities and boundaries of traditional engineering-focused Product Lifecycle Management applications. They support companies with an integrated managed view across the product value chain: From Lab to Launch, From Farm to Fork, From Concept to Product to Customer, From Product Innovation to Product Design and Product Commercialization. Product Lifecycle Management (PLM) represents a broad suite of software solutions to improve product-oriented business processes and data. PLM success stories prove that PLM helps companies improve time to market, increase product-related revenue, reduce product costs, reduce internal costs and improve product quality. As a maturing suite of enterprise solutions, PLM is still evolving to realize the promise it can provide across all facets of a business and all phases of the product lifecycle. The vision for PLM includes everything from gathering early requirements for a product through multiple stages of the product lifecycle from product design, through commercialization and eventual product retirement or replacement. In discrete or process industries, PLM is typically more focused on Product Definition as items with respect to the technical view of a material or part, including specifications, bills of material and manufacturing data. With Agile PLM, this is specifically related to capabilities addressing Product Collaboration, Governance and Compliance, Product Quality Management, Product Cost Management and Engineering Collaboration. PLM today is mainly addressing key requirements in the early product lifecycle, in engineering changes or in the “innovation cycle”, and primarily adds value related to product design, development, launch and engineering change process. In short, PLM is the master for Product Definition, wherever manufacturing takes place. Product Information Management (PIM) is a product suite that has evolved in parallel to PLM. Product Information Management (PIM) can extend the value of PLM implementations by providing complementary tools and capabilities. More relevant in the area of Product Commercialization, the vision for PIM is to manage product information throughout an enterprise and supply chain to improve product-related knowledge management, information sharing and synchronization from multiple data sources. PIM success stories have shown the ability to provide multiple benefits, with particular emphasis on reducing information complexity and information management costs. Product Information in PIM is typically treated as the commercial view of a material or part, including sales and marketing information and categorization. PIM collects information from multiple manufacturing sites and multiple suppliers into its repository, but also provides integration tools to push the information back out to the other systems, serving as an active central repository with the aim to provide a holistic view on any product sold by a company (hence the name “Product Hub”). In short, PIM is the master of commercial Product Information. So PIM is quickly becoming mandatory because of its value in optimizing multichannel selling processes and relationships with customers, as you can see from the following table: Viewpoint PLM Current State PIM Key Benefits PIM adds to PLM Product Lifecycle Primarily R&D Front end Innovation Cycle Change process Primarily commercial / transactional state of lifecycle Provides a seamless information flow from design and manufacturing through the ultimate selling and servicing of products Data Primarily focused on “item” vs. “product” data Product structures Specifications Technical information Repository for all product information. Reaches out to entire enterprise and its various silos of product information and descriptions Provides a “trusted source” of accurate product information to the internal organization and trading partners Data Lifecycle Repository for all design iterations Historical information Released, current information, with version management and time stamping Provides a single location to track and audit historical product information Communication PLM release finished product to ERP PLM is the master for Product Definition Captures information from disparate sources, including in-house data stores Recognizes the reality of today’s data “mess” across information silos Provides the ability to package product information to its audience in the desired, relevant format to meet their exacting business requirements Departmental R&D Manufacturing Quality Compliance Procurement Strategic Marketing Focus on Marketing and Sales Gathering information from other Departments, multiple sites, multiple suppliers A singular enterprise solution that leverages existing information silos and data stores Supply Chain Multi-site internal collaboration Supplier collaboration Customer collaboration Works with customers, exchanges / data pools, and trading partners to provide relevant product information packaged the way the customer desires Provides ability to provide trading partners and internal customers with information in a manner they desire, continuously Tools Data Management Collaboration Innovation Management Cleansing Synchronization Hub functions Consistent, clean and complete commercial product information The goals of both PLM and PIM, put simply, are to help companies make more profit from their products. PLM and PIM solutions can be easily added as they share some of the same goals, while coming from two different perspectives: the definition of the product and the commercialization of the product. Both can serve as a form of product “system of record”, but take different approaches to delivering value. Oracle Product Value Chain solutions offer rich new strategies for executives to collectively leverage Agile PLM, Product Data Hub, together with Enterprise Data Quality for Products, and other industry leading Oracle applications to achieve further incremental value, like Oracle Innovation Management. This is unique on the market today.

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  • Where do we put "asking the world" code when we separate computation from side effects?

    - by Alexey
    According to Command-Query Separation principle, as well as Thinking in Data and DDD with Clojure presentations one should separate side effects (modifying the world) from computations and decisions, so that it would be easier to understand and test both parts. This leaves an unanswered question: where relatively to the boundary should we put "asking the world"? On the one hand, requesting data from external systems (like database, extental services' APIs etc) is not referentially transparent and thus should not sit together with pure computational and decision making code. On the other hand, it's problematic, or maybe impossible to tease them apart from computational part and pass it as an argument as because we may not know in advance which data we may need to request.

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  • SQL Saturday #44 Huntington Beach Recap

    What a great day. It was long and tiring, but rewarding in so many ways. On Sunday morning, I was driving home and I decided to take the Pacific Coast Highway from Huntington Beach.  It was a great chance to exhale and just enjoy the sun and smells of the beach (I really love SoCal sometimes). And for future reference for all you speakers, the beach and ocean are only 5 minutes from the SQL Saturday location.  I just could help noticing also the shocking number of high priced cars on the road (4 Bentleys, 3 Ferraris, 1 Aston Martins, 3 Maserati, 1 Rolls Royce, and 2 Lamborghinis).  It made me think about this: Price of all those cars: $ 150,000+.  Impacting the ability of people to learn: Priceless.  We have positively impacted the education, knowledge, capabilities of not only our attendees, but also all of their companies and people they might help as well.  That is just staggering and something to be immensely proud of. To all of my fellow community leaders, I salute you. So lets talk about the event Overall We had over 220 people register for the event and had 180+ people attend the event. I was shooting for the magical 200 number, but I guess it just gives us more motivation to make it even bigger and better next time. We had a few snags along the way, but what event doesnt, but I think everything turned out great. I did not hear any negative comments and heard lots of positive comments along with people asking when the next one is going to be (More on that later). Location- Golden West College We could not have asked for a better partner for the event. Herb Cohen from Golden West College was the wizard behind the curtains. From the beginning, he was our advocate to the GWC Board and was instrumental in getting our event approved. The day off, Herb was a HUGE help getting any and all logistics that we needed taken care of. In the craziness of the early morning registration crush it was a big help knowing that he and Bret Stateham (Blog | Twitter) were taking care of testing projectors in all the rooms. Anything we needed he was there and was even proactive in getting some things that I had not even thought of (i.e. a dumpster for all of our garbage). I cannot thank Herb enough along with other members of the GWC staff including Minnie Higgins of the Career and Technical Education Division office, Jack Taylor, public safety, and Ron Pryor, Tech Services Support. And last, but not least, the Wireless on campus was absolutely FANTASTIC! Some lessons learned Unless you are a glutton for punishment, as I no doubt am, you most certainly want to give yourself more than six weeks to plan the event. I am lucky that I have a very understanding wife and had a wonderful set of co-coordinators helping me out. A big thanks goes out to Phil, Marlon (Blog | Twitter), Nitin (Twitter), Thomas (Blog | Twitter), Bret (Blog | Twitter), Ben, and Laurie. Thankfully, the sponsor and speaker community was hugely supportive and we were able to fill out the entire event with speakers and sponsors. I have to say that there is not a lot that I would change after this years event. There are obviously going to be some things that we can do better or differently next time, but overall I think it was a great event and I was more than happy with the response we received from the community. Sponsors We obviously could not have put together our event without our sponsors. So certainly have to show them some love. Platinum Sponsors Quest Software http://www.quest.com My Space http://www.myspace.com/ Gold Strategy Companion http://www.strategycompanion.com Silver Fusion-IO http://www.fusionio.com Bronze WestClinTech http://westclintech.com Professional Association For SQL Server http://www.sqlpass.org Attunity http://www.attunity.com Sharepoint 360 http://www.sharepoint360.com Some additional Thanks Andy Warren (Blog | Twitter) Always there to answer my question and help out when I had some issues or questions with the website. The amount of work that he and everyone else put into SQL Saturday is very amazing. What a great gift to the community! Einstein Bros. Bagels They were our Breakfast Vendor and arrived perfectly on time with yummy bagels, sweets and most importantly coffee. Luccis Deli (http://www.luccisdeli.com) Luccis was out Lunch Vendor. They were great to work with and the food was excellent. They worked with us to give us a great price. Heard lots of great comments about the lunches. Definitely not your ordinary box lunch. Moving Forward Unfortunately, the work does not end after the event. We have a few things to clear up such as surveys, sponsor stuff, presentations uploaded to the website, expense reimbursement, stuff like that. Hopefully, all that should be cleared up within the next couple weeks. After that as a group we are going to get together and decide what our next steps are. We definitely want to keep some of the momentum that we are building as a SQL Community and channel that into future SQL Saturdays and other types of community events. In the meantime, for additional training be sure to check out your local User Group and PASS. San Diego SQL Server Users Group ( http://www.sdsqlug.org/home/index.cfm ) Orange County SQL Server Users Group ( http://www.sqloc.com/ ) L.A. SQL Server Users Group ( http://www.sql.la/ ) SQL PASS ( http://www.sqlpass.org/ ) 24 Hours of PASS ( http://www.sqlpass.org/24hours/2010/ ) So stay tuned, there will be more events to come in SoCal!!Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Big Data – Role of Cloud Computing in Big Data – Day 11 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the NewSQL. In this article we will understand the role of Cloud in Big Data Story What is Cloud? Cloud is the biggest buzzword around from last few years. Everyone knows about the Cloud and it is extremely well defined online. In this article we will discuss cloud in the context of the Big Data. Cloud computing is a method of providing a shared computing resources to the application which requires dynamic resources. These resources include applications, computing, storage, networking, development and various deployment platforms. The fundamentals of the cloud computing are that it shares pretty much share all the resources and deliver to end users as a service.  Examples of the Cloud Computing and Big Data are Google and Amazon.com. Both have fantastic Big Data offering with the help of the cloud. We will discuss this later in this blog post. There are two different Cloud Deployment Models: 1) The Public Cloud and 2) The Private Cloud Public Cloud Public Cloud is the cloud infrastructure build by commercial providers (Amazon, Rackspace etc.) creates a highly scalable data center that hides the complex infrastructure from the consumer and provides various services. Private Cloud Private Cloud is the cloud infrastructure build by a single organization where they are managing highly scalable data center internally. Here is the quick comparison between Public Cloud and Private Cloud from Wikipedia:   Public Cloud Private Cloud Initial cost Typically zero Typically high Running cost Unpredictable Unpredictable Customization Impossible Possible Privacy No (Host has access to the data Yes Single sign-on Impossible Possible Scaling up Easy while within defined limits Laborious but no limits Hybrid Cloud Hybrid Cloud is the cloud infrastructure build with the composition of two or more clouds like public and private cloud. Hybrid cloud gives best of the both the world as it combines multiple cloud deployment models together. Cloud and Big Data – Common Characteristics There are many characteristics of the Cloud Architecture and Cloud Computing which are also essentially important for Big Data as well. They highly overlap and at many places it just makes sense to use the power of both the architecture and build a highly scalable framework. Here is the list of all the characteristics of cloud computing important in Big Data Scalability Elasticity Ad-hoc Resource Pooling Low Cost to Setup Infastructure Pay on Use or Pay as you Go Highly Available Leading Big Data Cloud Providers There are many players in Big Data Cloud but we will list a few of the known players in this list. Amazon Amazon is arguably the most popular Infrastructure as a Service (IaaS) provider. The history of how Amazon started in this business is very interesting. They started out with a massive infrastructure to support their own business. Gradually they figured out that their own resources are underutilized most of the time. They decided to get the maximum out of the resources they have and hence  they launched their Amazon Elastic Compute Cloud (Amazon EC2) service in 2006. Their products have evolved a lot recently and now it is one of their primary business besides their retail selling. Amazon also offers Big Data services understand Amazon Web Services. Here is the list of the included services: Amazon Elastic MapReduce – It processes very high volumes of data Amazon DynammoDB – It is fully managed NoSQL (Not Only SQL) database service Amazon Simple Storage Services (S3) – A web-scale service designed to store and accommodate any amount of data Amazon High Performance Computing – It provides low-tenancy tuned high performance computing cluster Amazon RedShift – It is petabyte scale data warehousing service Google Though Google is known for Search Engine, we all know that it is much more than that. Google Compute Engine – It offers secure, flexible computing from energy efficient data centers Google Big Query – It allows SQL-like queries to run against large datasets Google Prediction API – It is a cloud based machine learning tool Other Players Besides Amazon and Google we also have other players in the Big Data market as well. Microsoft is also attempting Big Data with the Cloud with Microsoft Azure. Additionally Rackspace and NASA together have initiated OpenStack. The goal of Openstack is to provide a massively scaled, multitenant cloud that can run on any hardware. Thing to Watch The cloud based solutions provides a great integration with the Big Data’s story as well it is very economical to implement as well. However, there are few things one should be very careful when deploying Big Data on cloud solutions. Here is a list of a few things to watch: Data Integrity Initial Cost Recurring Cost Performance Data Access Security Location Compliance Every company have different approaches to Big Data and have different rules and regulations. Based on various factors, one can implement their own custom Big Data solution on a cloud. Tomorrow In tomorrow’s blog post we will discuss about various Operational Databases supporting Big Data. 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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  • Code Review tools - to use or not?

    - by liortal
    On my dev team, we're doing code reviews, however not in a proper way i believe. The issues our process suffers from: Not enough time is allocated for proper code review. Doing reviews is not mandatory - many times it is simply not done. Devs sit together for reviews, due to lack of another easy mechanism for doing it "offline" without spending both developers' time. My question is: can integration of a tool for code reviews improve the points mentioned above? Is it not needed? I would love to hear from positive/negative experiences.

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  • Oracle Cloud Office and Oracle Open Office 3.3

    - by trond-arne.undheim
    Industry's First Complete, Open Standards-Based Office Productivity Suites for Desktop, Web and Mobile Users were launched today, 15 December 2010 (press release). Based on the Open Document Format (ODF) and open web standards, Oracle Open Office enables users to share files on any system as it is compatible with both legacy Microsoft Office documents and de facto formats, Portable Document Format (PDF), and modern web 2.0 publishing. Oracle Cloud Office is the foundation of the open standard office stack based on the open document format (ODF), and has powerful social sharing capability, ubiquitous document authoring and collaboration. Together, the two solutions enable cross-company, enterprise class collaboration with true interoperability, including the flexibility to support users across a wide variety of devices and platforms.

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  • Have Fun with Mozilla Firefox’s Spark and Ember Paper Toys [Geek Project]

    - by Asian Angel
    Are you looking for a fun paper-craft project to work on while showing your support for Mozilla Firefox? Then you will enjoy the Spark and Ember paper toys that the folks from the Mozilla Indonesia community have put together. Each comes in an easy to print three page PDF file for easy storage and sharing with friends. Photo courtesy of Mozilla Blog Indonesia. Download the Spark Paper Toy Download the Ember Paper Toy [via Mozilla Blog Indonesia] What is a Histogram, and How Can I Use it to Improve My Photos?How To Easily Access Your Home Network From Anywhere With DDNSHow To Recover After Your Email Password Is Compromised

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  • Accelerate your SOA with Data Integration - Live Webinar Tuesday!

    - by dain.hansen
    Need to put wind in your SOA sails? Organizations are turning more and more to Real-time data integration to complement their Service Oriented Architecture. The benefit? Lowering costs through consolidating legacy systems, reducing risk of bad data polluting their applications, and shortening the time to deliver new service offerings. Join us on Tuesday April 13th, 11AM PST for our live webinar on the value of combining SOA and Data Integration together. In this webcast you'll learn how to innovate across your applications swiftly and at a lower cost using Oracle Data Integration technologies: Oracle Data Integrator Enterprise Edition, Oracle GoldenGate, and Oracle Data Quality. You'll also hear: Best practices for building re-usable data services that are high performing and scalable across the enterprise How real-time data integration can maximize SOA returns while providing continuous availability for your mission critical applications Architectural approaches to speed service implementation and delivery times, with pre-integrations to CRM, ERP, BI, and other packaged applications Register now for this live webinar!

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  • Why isn't software as reliable as a car?

    - by Alex Angas
    I had a user ask me this question. We know that cars break down, but that's because of something physical (unless software is involved!). I tried to answer that software is a much younger industry, but the user countered with "didn't the automobile industry become much more stable than and reliable with less people?". I also tried to answer that software is more complex, but the user countered that there are many thousands of parts that make up a car. People that design and build cars generally just know their component(s) very well, but they still all end up working together as an end result. So, why isn't software as reliable as a car?

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  • Oracle Business Intelligence integration with Oracle Open Office

    - by Harald Behnke
    A highlight of the latest Oracle Office product launches are the first Oracle application connectors introduced with Oracle Open Office 3.3. The Oracle Open Office Connector for Oracle Business Intelligence perfectly demonstrates the advantages of enterprise and office productivity software engineered to work together. The connector enables you to access and run Oracle Business Intelligence Enterprise Edition requests directly within Oracle Open Office. The refreshable requests leverage not only native Open Office functionality but also the scalability and performance of the Oracle Oracle Business Intelligence server (R10.x). The requests reference a single source of information as defined in the Oracle Business Intelligence server data thus ensuring consistent information across the enterprise. See how it works in the demo video: Beyond the dramatic license cost savings for Oracle Business Intelligence customers using Oracle Open Office, the joint engineering efforts result in usability and efficiency benefits not available with Microsoft Office: Import styles and conditional formats defined in Business Intelligence answersApply customized styles, direct or conditional formats to Oracle Business Intelligence data - all changes are preserved during refreshChange chart properties for Oracle Open Office charts - all changes are preserved during refresh Read more about the Oracle Open Office enterprise features.

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