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Oracle Database 12c is a relational database administration device (RDBMS) designed for each on-premises and cloud makes use of and deployable on a choice of clustered or single servers. It gives finished points for managing information in transaction processing, enterprise intelligence and content administration applications.Oracle Database 12c features
A chart on Oracle's web page indicates a complete listing of aspects with the aid of edition. Oracle also offers a personal edition of Oracle Database 12 for individual clients. in addition, the company makes an categorical edition available as a free offering geared towards gaining knowledge of and simple, introductory usage. besides the fact that children, the specific edition is presently obtainable for less than Oracle Database 11g, the predecessor to 12c.
Oracle Database 12c provides more than 500 new facets, together with a brand new multi-tenant architecture that simplifies the system of consolidating databases in the cloud, enabling customers to manage many databases as one without altering their purposes. A single multi-tenant container can host and control a whole lot of pluggable databases to dramatically in the reduction of expenses and simplify administration.
Oracle Database 12c additionally boasts a brand new Database In-reminiscence column store, which speeds up database queries in order to allow companies to make more advantageous and quicker selections. current applications can automatically and transparently take potential of in-memory processing without requiring any adjustments or losing any current Oracle Database capabilities.
moreover, Oracle Database 12c presents more desirable protection features, enabling companies to offer protection to their mission-critical company counsel internally and externally with facts redaction capabilities to eliminate sensitive software records and a "privilege analysis" feature to aid establish clients and functions with entry privileges within the database. via superior applied sciences for encryption, auditing and access handle, Oracle additionally gives a comprehensive set of defense-in-depth statistics protection tools that can help tackle regulatory compliance.Oracle Database 12c versions
Oracle Database 12c is attainable basically in three variants designed to fit diverse purchasers' functionality needs and budgets:
Oracle Database 12c is a heterogeneous relational database administration equipment that runs on windows, Linux and Unix working systems and is supported throughout a broad latitude of server and storage hardware methods. Supported OS models encompass:
Oracle, the largest relational database management device seller, offers each perpetual and term licenses, the latter in annual increments from one to 5 years. The license metrics used for identifying the cost of Oracle Database 12c purchases are primarily based both on the number of named clients and devices that allows you to have access to the application -- officially referred to as Named consumer Plus -- or the variety of processors the database will run on.
Oracle Database 12c software licenses are bought at once by means of Oracle and thru resellers. Oracle uses a mixture of written agreements to license its application. The overarching license rights are described in the Oracle master settlement, and the rights related to certain products and features are described within the Ordering document.Oracle Database 12c statistics varieties
besides the average numeric, personality and date/time information varieties supported by way of all relational database administration techniques, Oracle Database 12c helps numerous information varieties in addition to person-described varieties.
Oracle's Exadata database appliance is additionally purchasable for clients looking for a less complicated, plug-and-play DBMS. Oracle offers diverse configurations in line with DBMS usage that encompass servers tailor-made for heavy online processing as well as facts warehouse functions.Oracle Database 12c benchmarks
even though it's wise to conduct your own performance benchmarks, Oracle always benchmarks its DBMS and publishes the consequences. Many organizations have carried out high availability and performance using Oracle Database with their applications.
in regards to the authorCraig S. Mullins is a data management strategist, researcher, consultant and creator with more than 30 years of event in all sides of database programs building. he's president and primary advisor of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. e mail him at email@example.com.
e mail us at firstname.lastname@example.org and comply with us on Twitter: @sDataManagement.
Jul 7, 2017Stephanie Simone
Extracting probably the most cost of your records through actual-time and advert hoc analytics isn’t all the time as easy because it sounds.
Correlating facts to a lot of interior and exterior sources and making a bridge between structured and unstructured information outlets can also be a challenge. however, it doesn’t have to be an issue with Oracle.
contemporary information warehousing challenges consist of inflexibility, complicated structure, sluggish performance, old know-how, and a lack of governance, according to Axel Streichardt, senior director of enterprise applications options at Pure Storage, who discussed in a contemporary webinar how Pure Storage's information platform can help shoppers seeking a high performance solution to make the experience to analytics efficient and positive.
in line with Streichardt, Pure Storage’s Oracle answer can support enterprises modernize an Oracle data warehouse to produce perception from statistics at once. The tools and infrastructure to do this are an Oracle Database 11g or bigger, supported by way of an all-flash storage answer, akin to Pure Storage FlashBlade, Streichardt pointed out.
The Pure FlashBlade array is an all-flash storage architecture. It connects without delay to Oracle databases by means of dNFS, and, with tremendous pools of study and write bandwidth.
With FlashBlade companies get scalable skill at a small kind ingredient, faster database scan quotes, faster statistics masses (ETL), and lessen TCO with Oracle dNFS.
the important thing price propositions the solution gives to groups includes:
An archived on-demand replay of this webinar is purchasable right here.
supply: Oracle service provider
October 14, 2010 08:00 ET
Oracle Continues to bring great information Warehousing performance, Beats IBM
REDWOOD SHORES, CA--(Marketwire - October 14, 2010) - Oracle (NASDAQ: ORCL)
About Oracle Oracle is the area's most comprehensive, open, and integrated enterprise utility and hardware systems company. For extra assistance about Oracle, please consult with our net site at http://www.oracle.com.
Oracle and Java are registered emblems of Oracle and/or its affiliates. different names may be trademarks of their respective owners.
supply: Transaction Processing efficiency Council (TPC) www.tpc.org
As of October 6, 2010:
(1) solar SPARC business M9000 server: 198,907.5QphH@3000GB, $16.58/QphH@3000GB, available 04/05/2011 (world list non-clustered TPC-H three TB outcomes).
(2) IBM power 595 model 9119-FHA, 156,537.3 QphH@3000GB, $20.60/QphH@3000GB, purchasable 11/24/2009. (most beneficial IBM TPC-H 3000GB performance (QphH) and price/performance ($/QphH) influence).
(3) sun SPARC enterprise M9000 server Database Load Time - 3:forty:11, IBM energy 595 Database Load Time - 10:02:25. 602 min /220 min = 2.7
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Like any modern database, Snowflake uses various levels of caching to maximize query performance and reduce disk I/O and machine load. This article provides an overview of the techniques used by Snowflake, the data warehouse built for the cloud.System Architecture
Before starting, it’s worth considering the underlying Snowflake architecture and explaining when Snowflake caches data. The diagram below illustrates the overall architecture, which consists of three layers:
The diagram below illustrates the levels at which data and results are cached for subsequent use:
Benchmark Testing Setup
Every Snowflake database is delivered with a pre-built and populated set of Transaction Processing Council (TPC) benchmark tables. To test the result of caching, I set up a series of test queries against a small subset of the data, which is illustrated below.
All the queries were executed on a MEDIUM sized cluster (8 nodes) and joined the tables. The tables were queried exactly as is, without any performance tuning.
The following query was executed multiple times, and the elapsed time and query plan were recorded each time.
The screenshot below illustrates the results of the query which summarise the data by Region and Country. In total, the SQL queried, summarized, and counted 1.5 billion rows of data. The screenshot shows the first eight lines returned.
The test sequence was as follows:
Each query included over 60Gb of raw data, although as Snowflake was able to automatically compress the data, the actual data transfers were around 12Gb. As Snowflake is a columnar data warehouse, it automatically returns the columns needed rather then the entire row to maximize query performance.Run From Cold
This query returned in around 20 seconds and demonstrates it scanned around 12Gb of compressed data, with 0% from the local disk cache. This means it had no benefit from disk caching.
The bar chart above demonstrates around 50% of the time was spent on local or remote disk I/O, and only 2% on actually processing the data. Clearly any design changes we can do to reduce the disk I/O will help this query.
The results also demonstrate the queries were unable to perform any partition pruning which might improve query performance. We’ll cover the effect of partition pruning and clustering in the next article.Run From Warm
This query was executed immediately after, but with the result cache disabled, and it completed in 1.2 seconds – around 16 times faster. In this case, the Local Disk cache (which is actually SSD on Amazon Web Services) was used to return results, and disk I/O is no longer a concern.
In the above case, the disk I/O has been reduced to around 11% of the total elapsed time, and 99% of the data came from the (local disk) cache. While querying 1.5 billion rows, this is clearly an excellent result.Run From Hot
This query returned results in milliseconds and involved re-executing the query, but with this time, the result cache enabled. Normally, this is the default situation, but it was disabled for testing purposes.
The above profile indicates the entire query was served directly from the result cache (taking around 2 milliseconds). Although not immediately obvious, many dashboard applications involve repeatedly refreshing a series of screens and dashboards by re-executing the SQL. In these cases, the results are immediately returned in milliseconds.
Although more information is available in the Snowflake Documentation, a series of tests demonstrated the result cache will be reused unless the underlying data (or SQL query) has changed. As a series of additional tests demonstrated inserts, updates and deletes which don't affect the underlying data are ignored, and the result cache is used, provided data in the micro-partitions remains unchanged.
Finally, results are normally retained for 24 hours, although the clock is reset every time the query is re-executed, up to a limit of 30 days, after which results query the remote disk.Summary
The sequence of tests was designed purely to illustrate the effect of data caching on Snowflake. The tests included:-
To put the above results in context, I repeatedly ran the same query on Oracle 11g production database server for a tier one investment bank and it took over 22 minutes to complete.
Finally, unlike Oracle where additional care and effort must be made to ensure correct partitioning, indexing, stats gathering and data compression, Snowflake caching is entirely automatic and available by default. Absolutely no effort was made to tune either the queries or the underlying design, although there are options available, which I'll discuss in the next article. Sign up below for further details.Further Reading
Thank you for reading this. If you found this article interesting and would like to know more, you can read more about Snowflake, and Data Warehousing at www.analytics.today.
One of the most popular articles I’ve written describes my experience as an Oracle warehouse architect and compares this to how Snowflake would handle the problems I encountered. You can read more at The Ideal Data Warehouse Architecture.
big data ,caching ,database ,performance ,performance optimization ,queries ,performance caching
Because I specialize in the world of SAP Business Warehouse (BW), SAP Data Services was relatively foreign to me until a couple of years ago. But since the 4.0 release of Data Services, I've been intrigued by the concept of using it with BW and other SAP applications, allowing both systems to play to their strengths.
That is to say, SAP Data Services provides excellent and user-friendly transformation capabilities and easy access to a plethora of possible data sources and targets. On the other hand, SAP BW provides a semantic data warehousing model, advanced hierarchy support, data lifecycle management services, security and more. The combination of Data Services with traditional SAP products like BW could be a powerful solution for many, though there are still a couple of pitfalls to be aware of.Improvements in DS 4.0, BW 7.3
Integration with SAP sources including BW took a big jump with Data Services 4.0 and was further refined with the recent release of Data Services 4.1.
The newest version of Data Services can read directly from SAP's "business content" extractors in the ERP, CRM and SRM applications. The table structure in these applications can be extremely complex. Extractors act as semantic views on top of these tables and can provide additional capabilities like delta change capture. This functionality was introduced in Data Services 4.0, and parallel processing was improved in version 4.1.
Data Services 4.0 also supports native loading of BW DataSource objects, and Data Services is better integrated with BW as a Source System type. This new integration makes it very easy to pull data from Data Services sources directly into BW DataSources, all from the BW interface. (DataSources is BW's data ingestion construct.) These capabilities are available in BW version 7.3 or later.
SAP Data Services 4.1 also introduces improved parallel loading when using BW's OpenHub tables as a source for Data Services. This is an important functionality for many customers because efficiently moving data out of BW and into other systems for analysis and reporting can be a challenge.Advantages Data Services can offer now
These improvements result in a compelling case for using BW and Data Services together.
SAP Business Content extractors, originally developed for use with BW, are the semantic representation of ERP data for analytic uses. Now they are available directly for non-BW use via Data Services. These extractors should work without interference even when simultaneously used for BW extraction, and can now be used to feed other data marts or an operational data store instead of, or in parallel with, BW loads.
Data Services is attractive for current BW shops because it is much better at some types of transformations than BW. Pivot transformations, for example, are difficult in BW, often requiring custom-coded routines. In some environments, skills to develop complex transformations may be easier to come by when developing these transformations in Data Services' custom development language (Python) than in ABAP. Doing custom transformation development in Data Services, rather than BW, may make custom development more reusable, while reducing the complexity of the BW environment.
Data Services also enables a different software lifecycle management approach. BW changes are often limited to preplanned transport windows every week or month. This ensures a stable system but can be problematic for transformation logic that needs to closely track changes in source systems. Segregating source-system-oriented transformations in Data Services could allow a software lifecycle management regime with faster reactions to source-system changes or errors.
BW still has advantages over traditional databases when used as a Data Services data store, and current Data Services shops may want to consider it for this reason. Some of the advantages are outlined in this article comparing the differences between BW and HANA.Still some rough edges
There are still some rough edges in the Data Services integration with SAP applications and BW. Data Services support for business content extractors is extensive, but it’s limited to extractors for "Operational Data Provisioning," which doesn’t cover every scenario. You can find the full list of supported extractors in note 1558737 (login is required).
The integration between BW Source Systems, BW DataSources, Data Services Targets and Data Services Jobs is also confusing. When you create a Data Services source system in BW, you can only use Data Services as a "dumb pipe" to load data to BW. There is no ability to transform data by using Data Services in this scenario. This approach throws out much of Data Services' power in the name of simplicity.
However, all is not lost. If you configure the Data Services connection to BW, and then create a External System source system in BW (instead of a Data Services source system), you can create an arbitrarily structured BW DataSources and BW InfoPackages configuration to run Data Services jobs of your choosing.
If the Data Services job's target has the same structure as the BW DataSource, everything works. Surprisingly, the load will work even if the target of the Data Services job appears to be a different DataSource. This is a nice functionality because it allows people to leverage any Data Services transformation logic directly from BW. But it's also dangerous because there are no restrictions forcing you to match structures, though the capability is likely to be found only by more adventurous users.
Figure 1: Different Source System types for Data Services behave differently in BW. “Data Services” source systems allow you to create DataSources that exactly mirror the structure of a Data Services “Source”. “External System” source systems allow you to create DataSources with arbitrary structures that are filled using any Data Services Job you choose.
Data Services can now make use of a lot more of the functions that both SAP applications and BW have to offer. This should make life a lot easier for those trying to use Data Services in an environment with other SAP applications, and offer some especially interesting new options to BW shops. That said, this is a relatively new functionality, so it suffers from bugs and implementation inconsistencies that can be confusing. Remaining aware of the shortcomings and hidden functionality can ease integration headaches.
SOURCE: Oracle Corporation
October 14, 2010 08:00 ET
Oracle Continues to Deliver Exceptional Data Warehousing Performance, Beats IBM
REDWOOD SHORES, CA--(Marketwire - October 14, 2010) - Oracle (NASDAQ: ORCL)
About Oracle Oracle is the world's most complete, open, and integrated business software and hardware systems company. For more information about Oracle, please visit our Web site at http://www.oracle.com.
Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.
Source: Transaction Processing Performance Council (TPC) www.tpc.org
As of October 6, 2010:
(1) Sun SPARC Enterprise M9000 server: 198,907.5QphH@3000GB, $16.58/QphH@3000GB, available 04/05/2011 (world record non-clustered TPC-H 3 TB result).
(2) IBM POWER 595 Model 9119-FHA, 156,537.3 QphH@3000GB, $20.60/QphH@3000GB, available 11/24/2009. (Best IBM TPC-H 3000GB performance (QphH) and price/performance ($/QphH) result).
(3) Sun SPARC Enterprise M9000 server Database Load Time - 3:40:11, IBM POWER 595 Database Load Time - 10:02:25. 602 min /220 min = 2.7
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Autodesk [2 Certification Exam(s) ]
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LEED [1 Certification Exam(s) ]
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Lotus [66 Certification Exam(s) ]
LPI [24 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
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McData [3 Certification Exam(s) ]
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Microsoft [374 Certification Exam(s) ]
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Military [1 Certification Exam(s) ]
Misc [1 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NBSTSA [1 Certification Exam(s) ]
NCEES [2 Certification Exam(s) ]
NCIDQ [1 Certification Exam(s) ]
NCLEX [2 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [39 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [6 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [279 Certification Exam(s) ]
P&C [2 Certification Exam(s) ]
Palo-Alto [4 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
Pegasystems [12 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [15 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [6 Certification Exam(s) ]
PRMIA [1 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
QlikView [1 Certification Exam(s) ]
Quality-Assurance [7 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real-Estate [1 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [8 Certification Exam(s) ]
RSA [15 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [5 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
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SASInstitute [15 Certification Exam(s) ]
SAT [1 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [134 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [6 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [33 Certification Exam(s) ]
Vmware [58 Certification Exam(s) ]
Wonderlic [2 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]
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