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belajar database dengan excel

Engineering college dekho
by bapolki 0 Comments favorite 39 Viewed Download 0 Times

This site logitionately useful for +2 and Engineering college Students who are plannig to get into professional careers through the choice of college of their dream.This organisational wave will help such students to find information about different colleges throughout India,compare their facilities,get study advice and strategies used in academics.In addition to this,the website provides collection of reference materials,searchable database,job oppurtunities,coaching for IIT/JEE,recent news about conference,tech-fes &training programs by different college and has a ranking system too. This Site will give adequte knowledge for a career oriented student.

Find The Right Business Phone Systems For Your Company

This works with the database so when the customer calls, their record from the CRM system displays.

NCS, Competent IT Support Company in London Now Offers Wide Range of Database Management Services

NCS, the most competent IT support company in London now offers a wide range of enterprise database management services. Theirreliable and proactive databasemanagement and support system makesthem the most sought after name in the world of IT.

Database cleansing & updating by Easy Leads

Database has to be correct and accurate for convey the marketing massage to the right customer. If not then the marketing message will be wasted if it isn’t received by the right people. Contact us: Easy Leads Pty Ltd, Suite 5, Level 1, 277 Condamine Street, Manly Vale, NSW 2093, Ph: 02 8488 8266, Web: www.easyleads.com.au

Packaging design as a Marketing tool and Desire to ... - Theseus

Ksenia Polyakova Packaging design as a Marketing tool and Desire to purchase, 72 pages, 2 appendices Saimaa University of Applied Science Faculty of Business Administration, Lappeenranta Degree Programme in International Business Bachelor’s Thesis 2013 Instructor: Mr. Riku Hytönen Senior Lecturer, Saimaa University of Applied Sciences The purpose of the study was to examine the consumer perception on different design elements of a milk package and to provide essential information for the companies about the consumer attraction and importance of design attributes from the consumer point of view. The theoretical framework was based on the secondary data (articles and books) and included core concepts of packaging, packaging design, consumer behavior, consumer perception, and consumer attraction. The mixed method was selected for acquiring and analyzing the research results. Quantitative data was collected from 30 questionnaire responses and was analyzed with the computer program Excel. Qualitative data was obtained from two interviews conducted with the companies, Valio Ltd and Tetra Pak Ltd. The results of the study revealed the importance of packaging design in consumer buying behavior. By examining the consumer perception, it was found out that packaging design elements such as graphics, color, and product information play a key role in decision making and ensure consumer’s attention. Based on the findings, it was defined that successful milk packaging design could be created by the cooperation between the consumer and the company. Further research could investigate other product packages’ design elements.

Scalable SQL and NoSQL Data Stores - Rick Cattell Home Page

In this paper, we examine a number of SQL and socalled “NoSQL” data stores designed to scale simple OLTP-style application loads over many servers. Originally motivated by Web 2.0 applications, these systems are designed to scale to thousands or millions of users doing updates as well as reads, in contrast to traditional DBMSs and data warehouses. We contrast the new systems on their data model, consistency mechanisms, storage mechanisms, durability guarantees, availability, query support, and other dimensions. These systems typically sacrifice some of these dimensions, e.g. database-wide transaction consistency, in order to achieve others, e.g. higher availability and scalability. Note: Bibliographic references for systems are not listed, but URLs for more information can be found in the System References table at the end of this paper. Caveat: Statements in this paper are based on sources and documentation that may not be reliable, and the systems described are “moving targets,” so some statements may be incorrect. Verify through other sources before depending on information here. Nevertheless, we hope this comprehensive survey is useful! Check for future corrections on the author’s web site cattell.net/datastores. Disclosure: The author is on the technical advisory board of Schooner Technologies and has a consulting business advising on scalable databases.

MongoDB - Oracle
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Oracle NoSQL Database and MongoDB server are both licensed under AGPL while MongoDB has certain client drivers under the Apache 2.0 license.  Oracle NoSQL Database is in many respects, as a NoSQL Database implementation leveraging BerkeleyDB in its storage layer, a commercialization of the early NoSQL implementations which lead to the adoption of this category of technology. Several of the earliest NoSQL solutions were based on BerkeleyDB and some are still to this day e.g. LinkedIn’s Voldemort. The Oracle NoSQL Database is a Java based key-value store implementation that supports a value abstraction layer currently implementing Binary and JSON types. Its key structure is designed in such a way as to facilitate large scale distribution and storage locality with range based search and retrieval. The implementation uniquely supports built in cluster load balancing and a full range of transaction semantics from ACID to relaxed eventually consistent. In addition, the technology is integrated with important open source technologies like Hadoop / MapReduce, an increasing number of Oracle software solutions and tools and can be found on Oracle Engineered Systems.

From Only-SQL to NoSQL to YeSQL - GigaSpaces

It has now been a good couple of years since the various anti-SQL proponents have gained enough momentum to come together under the wide umbrella of the term NoSQL. And it is clear that we can never go back: the typical relational database architecture is clearly insufficient for today’s dataintensive applications, and the move to distributed architectures. But is the problem in the architecture or the query language? The two are not interchangeable, though frequently confused. Some answers can be found in the following articles, which represent a progression of ideas on this very relevant topic, based on various articles published in Nati Shalom’s blog: http://natishalom.typepad.com Should Web Apps "Just Say No" to SQL? Pros and Cons of Non-SQL Patterns This paper briefly reviews what is driving the trend of adopting alternatives to the traditional SQL DB, survey alternative approaches, and discuss not only their benefits but also the risks and caveats for real-life web applications.

Ultra-High Performance NoSQL Benchmarking - Aerospike

As companies deal with ever larger amounts of data and increasingly demanding workloads, a new class of databases has taken hold. Dubbed “NoSQL”, these databases trade some of the features used by traditional relational databases in exchange for increased performance and/or partition tolerance. But as NoSQL solutions have proliferated and differentiated themselves (into key-value stores, document databases, graph databases, and “NewSQL”), trying to evaluate the database landscape for a particular class of problem becomes more and more difficult. In this paper we attempt to answer this question for one specific, but critical, class of functionality – applications that need the highest possible raw performance for a reliable storage engine. There have been a few attempts to provide standardized tools to measure performance or other characteristics, but these have been hobbled by the lack of a clear mandate on exactly what they’re testing, plus an inability to measure load at the highest volumes. In addition, there is an implicit tradeoff between the consistency and durability requirements of an application and the maximum throughput that can be processed. What is needed is not an attempt to quantify every NoSQL solution into one artificial bucket, but a more systemic analysis of how some of these databases can achieve under assumptions that mirror real-world application needs. We attempted to provide a comprehensive answer to one specific set of use cases for NoSQL databases -- consumer-facing applications which require extremely high throughput and low latency, and whose information can be represented using a key-value schema. In particular, we look at two common scenarios.

History Repeats Itself - EDBT
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In this paper, I describe some of the recent developments in the database management area, in particular the NoSQL phenomenon and the hoopla associated with it. The goal of the paper is not to do an exhaustive survey of NoSQL systems. The aim is to do a broad brush analysis of what these developments mean - the good and the bad aspects! Based on my more than three decades of database systems work in the research and product arenas, I will outline what are many of the pitfalls to avoid since there is currently a mad rush to develop and adopt a plethora of NoSQL systems in a segment of the IT population, including the research community. In rushing to develop these systems to overcome some of the shortcomings of the relational systems, many good principles of the latter, which go beyond the relational model and the SQL language, have been left by the wayside. Now many of the features that were initially discarded as unnecessary in the NoSQL systems are being brought in, but unfortunately in ad hoc ways. Hopefully, the lessons learnt over three decades with relational and other systems would not go to waste and we wouldn’t let history repeat itself with respect to simple minded approaches leading to enormous pain later on for developers as well as users of the NoSQL systems! Caveat: What I express in this paper are my personal opinions and they do not necessarily reflect the opinions of my employer.

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