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Database Articles
Page 149 of 547
What are the differences between HBase and Cassandra?
Let us understand the concepts of HBase and Cassandra before learning the differences between them.CassandraCassandra has a different infrastructure. Cassandra uses different DBMS along with their infrastructure. When Cassandra uses different DBMS then time complexity will increase.Cassandra supports ordered partitioning. This can lead to row size up to 10 megabytes.In Cassandra, we use seed nodes. These nodes perform inter-cluster communication. Here, we use internal communication. Casandra has lightweight transactions.Cassandra is based on the Jbury shell. But it has a specific Query language. That is CQL, it is modelled after SQL. It is better than HBase in Documentation. It uses the ...
Read MoreWhat are the differences between Jumpshare and Wuala?
Let us understand the concepts of Jumpshare and Wuala before learning the differences between them.JumpshareJumpshare was developed by Jumpshare Inc in the year 2012. It is a visual communication platform. By Using Jumpshare we can share our work and ideas instantly using shareable links. It combines the features like file sharing, screenshot capture, and video recording all in a single platform. It is available in MacOS, iOS, and Microsoft windows.Jumpshare offers free accounts with limited storage, and paid subscriptions with expanded storage and sharing options.FeaturesThe features of Jumpshare are as follows −Share the work visually in seconds.Delivering the work at ...
Read MoreWhat are the differences between Microsoft Excel and Microsoft Access?
Let us understand the concepts of Microsoft Excel and Microsoft Access before learning the differences between them.Microsoft AccessIt is a database management system offered by Microsoft which puts together the relational Microsoft Jet Database Engine with a graphical user interface and software development tools.AdvantagesThe advantages of Microsoft Access are as follows −Table structure and normalization through multiple tables − In a database you can store more information in one place and you use the address as a reference in many places.Records are free − The major difference between Microsoft excels and Microsoft access is that in a database records are ...
Read MoreWhat are the differences between Dropbox and MiMedia?
Let us understand the concepts of Dropbox and MiMedia before learning the differences between them.DropboxDropbox is operated by the American company Dropbox, Inc., released in the year 2008.It is a file hosting service and is placed in a high position in a competitive market. In comparison to all the cloud storage platforms, Dropbox has been highly effective in capturing the largest share of the cloud market. It is important to mention that cloud platforms like Google Drive, Microsoft One Drive, and Apple cloud have some disadvantages which are readily covered by Dropbox.Furthermore, it has some secured data servers that are ...
Read MoreWhat are the methods of Privacy-preserving data mining?
Privacy-preserving data mining is an application of data mining research in response to privacy security in data mining. It is called a privacy-enhanced or privacy-sensitive data mining. It deals with obtaining true data mining results without disclosing the basic sensitive data values.Most privacy-preserving data mining approaches use various form of transformation on the data to implement privacy preservation. Generally, such methods decrease the granularity of description to keep privacy.For instance, they can generalize the data from single users to users groups. This reduction in granularity causes loss of data and probably of the utility of the data mining results. This ...
Read MoreWhat are the data Mining methods for Recommender Systems?
Recommender systems can use a content-based approach, a collaborative approach, or a hybrid approach that combines both content-based and collaborative methods.Content-based − In the content-based approach recommends items that are same to items the customer preferred or queried in the previous. It depends on product features and textual item definition.In content-based methods, it is calculated based on the utilities assigned by the similar user to different items that are same. Many systems target on recommending items including textual data, including websites, articles, and news messages. They view for commonalities between items. For movies, they can view for same genres, directors, ...
Read MoreHow does data mining help in Intrusion detection and prevention system?
An intrusion can be represented as any set of services that threaten the integrity, confidentiality, or accessibility of a network resource (e.g., user accounts, file systems, system kernels, etc).Intrusion detection systems and intrusion prevention systems both monitor network traffic and system performance for malicious activities. The former produces documents whereas the latter is located in-line and is able to actively avoid/block intrusions that are identified.The advantage of an intrusion prevention system are to recognize malicious activity, log data about said activity, tries to block/stop activity, and document activity. Data mining methods can support an intrusion detection and prevention system to ...
Read MoreWhat is the role of Data Mining in Science and Engineering?
There are various roles of data mining in science and engineering are as follows −Data warehouses and data preprocessing − Data preprocessing and data warehouses are important for data exchange and data mining. It is making a warehouse requires discovering means for resolving inconsistent or incompatible information collected in several environments and at multiple time periods.This needed reconciling semantics, referencing systems, mathematics, measurements, efficiency, and precision. Methods are needed for integrating data from heterogeneous sources and for identifying events.Mining complex data types − Numerical data sets are heterogeneous in nature. They generally contains semi-structured and unstructured data, including multimedia data ...
Read MoreWhat are the methodologies of statistical data mining?
In statistical data mining techniques, it is created for the effective handling of large amounts of data that are generally multidimensional and possibly of several complex types.There are several well-established statistical methods for data analysis, especially for numeric data. These methods have been used extensively to scientific records (e.g., records from experiments in physics, engineering, manufacturing, psychology, and medicine), and to information from economics and the social sciences.There are various methodologies of statistical data mining are as follows −Regression − In general, these techniques are used to forecast the value of a response (dependent) variable from new predictor (independent) variables, ...
Read MoreWhat is Spatiotemporal data mining?
Spatiotemporal data mining define the process of finding patterns and knowledge from spatiotemporal data. An instances of spatiotemporal data mining contains finding the developmental history of cities and lands, uncovering weather designs, forecasting earthquakes and hurricanes, and deciding global warming trends.Spatiotemporal data mining has become important and has far-extending implications, given the recognition of mobile phones, GPS devices, Internet-based map services, weather services, and digital Earth, and satellite, RFID, sensor, wireless, and video technologies.There are several types of spatiotemporal data, moving-object data are important. For instance, animal scientists connect telemetry machinery on wildlife to explore ecological behavior, mobility managers embed ...
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