Database management system

Data platforms are digital databases that house, manage and organize data from a variety of different sources. Data platforms started to form due to the rise of “Big Data” in the early 2000s. Big Data are large volumes of structured and unstructured data. While paper methods were still acceptable for smaller data sets, large sets were becoming harder to handle. Thus, data platforms were formed to store data digitally on servers, rather than on paper. Data platforms required to have several attributes

Python’s dictionary (dict) data type is a structure composed of “‘key:value” pairs where a value is associated with a key used to look-up that value. In other languages, similar data structures are often known as associative arrays. Dictionary keys must be unique (among other keys in the dict) and immutable, but values can be mutable or immutable and can be any data type. Dictionaries themselves are mutable, which means that key:value pairs can be removed or added to dictionaries, or the value

1. Introduction Convolutional neural systems (CNNs) are suitable for unraveling visual record that depend on hand writing recognition task and characterization [1, 3]. They have an adaptable design which do not need to have complex strategies, for instance, momentum, weight rot, structure dependent learning rates or even finely tuning the engineering[1]. CNNs have additionally accomplished the cutting edge comes about for character acknowledgment on the MNIST informational collection of manually

Use Sources 13 14 and 15 and your own knowledge. Do you agree with the view that the main reason for hostility towards James I in England, in the years before 1618, was the immorality and corruption of the royal Court? Before the years 1618, there were various factors which contributed towards the hostility of James I. These factors include his unpopular decisions, uneasy relations with parliament, matters of religion and finally the issue of his extravagant lifestyle in which he shared with

Physio-EX Blood Analysis: Computer Simulation Introduction In this lab five blood tests will be performed: hematocrit determination, erythrocyte sedimentation rate, hemoglobin determination, blood typing, and total cholesterol determination. A “hematocrit refers to the percentage of red blood cells (RBC’s) in a sample of whole blood. Since the function of red blood cells is the transport of oxygen to the cells of the body, the higher the hematocrit, the more red blood cells are available to carry

formats, one is XML / RDF file format, the second one is a special XML / RDF database and the third one is a traditional relational database. If small amounts of data is considered then it is preferable to go with XML/RDF file storage, But if large amounts of data are considered where scalability, data integrity, query efficiency etc; are important, then it is preferable to go with XML/RDF database or relational database for storing RDF data (Zhou et al., 2010). In this paper, as SodhanaRef is experimental

“An arrayList is a dynamic array. The back of the arrayList can grow as new elements are added.” (Ford & Topp). You can think of an arrayList as an improvement to using standard arrays, this is because arrays cannot increase or decrease in size as it stores elements in a fixed-length block, which means the sizes stays the same once the program is executed. On the other hand, an arrayList allows the addition or subtraction of its sequence using either the add() or remove() methods. Similarly, arrayLists

\section{Dataset selection} This was the most important part of the entire project and consumed a lot of time. Selecting a suitable database to perform the desired type of analysis was a very difficult task as there are a very few well organized and labeled medical databases which are suitable to perform anomaly detection. The database used by this project is the Pima Indians Diabetes database \cite{Dataset} which is a well structured and a labeled

tasks. Advanced servers normally utilize RAID (Redundant Array of Inexpensive Disks) as their storage system for data. RAID storage system is consisting of many storage disks which are configured to work as

Big data has received popularity as datasets which are large that cannot be easily managed by the traditional relational databases. Big data deals with high volume, variety and velocity of data. However, if traditional relational database schemas are applied to big data, the large volume of datasets cannot be processed and managed by these traditional techniques. The notable solution to manage and process the data is MapReduce framework. MapReduce is programming model which programming model where