Distributed Databases - Science topic

Blockchain technology indeed has applications beyond cryptocurrencies. It offers decentralized, secure, and transparent solutions across various sectors. Here are some examples of blockchain applications beyond cryptocurrency:

The adoption of blockchain technology is growing in various industries worldwide. However, challenges like scalability, regulatory compliance, and interoperability need to be addressed for its widespread implementation. Organizations and governments are actively exploring these applications to improve efficiency, transparency, and security in their operations.

You can use Postgresxl for Relational or DGraph for Graphical Distributed Environment. Both these tools can be used in virtual or physical mode. You may use Row (Postgresql) and Column (MonetDB) stores for data partitioning labs.

Dear Nguyen ,

Currently, I'm working on enhancing the security of the smart contract, which focuses on :

1- Design patterns

2- coding and development of smart contract

Both are same : store data indifferent location, also maintain replication for fail safe data, they have index for quick access, etc;

They differ by the way you can access or querying; they differ by data format u receive;

The fact is : database has to be on top of a file system;

Hi,

Data integration is highly important in the case of merging systems of two companies or consolidating..

Best Data Integration Tools, Platforms and Vendors in 2019

Dear Paramjit Kourç,

A distributed database is a database that consists of two or more files located in different sites either on the same network or on entirely different networks. ... A centralized distributed database management system (DDBMS) integrates data logically so it can be managed as if it were all stored in the same location.

Distributed File System (DFS) is a set of client and server services that allow an organization using Microsoft Windows servers to organize manydistributed SMB file shares into a distributed file system.

Regards,

Shafagat

Check GBIF website

the David Graeber's book "Debt: the first 5000 years" prvides quite a broad review of alternative economical systems. He actuaally chellenges the common belief that the central goverment is the sole source of meney and finanacial system. i'd recommend this book.

The Wikipedia article about gift economy can be a good introduction:

your Question was not clear enough so you could get help

However, I recommend you this publication of mine you might find usefull

If by data you refer to the use of "linked data", then using RDF databases coupled with SPARQL to query them can be efficient, since SPARQL supports data and query federation in real time, esplly with SPARQL 1.1. 

In generality, the "efficiency" depends on a lot of factors, as others have pointed out in previous answers, this includes, indexing schemes, storage and retrieval schemes and also the characteristics of data in use imho. Other than these, the application of a graph database is also of relevance, which range from search engines, question answering (which involves intensive use of knowledge graphs), recommendation systems, pattern matching, graph-specific tasks such as mining and analysis, etc. 

You may find certain reference material on evaluation of federated linked data systems, etc here:   https://www.informatik.hu-berlin.de/de/forschung/gebiete/sar/wbi/research/publications/2008/DARQ-FINAL.pdf  and http://www.fluidops.com/downloads/documents/pubiswc2011fedbench.pdf 

Hope it helps!

Maybe you can check out WSO2 DSS, which offers easy to use capabilities to utilise various data sources.

Dear friends,

Block - chain refers to those database systems which store each and every record and doesn't delete them until a process called compaction is called. This way databases would store the history of all records.

For such applications, Key-value, DOcument-store, Graph and multi-model databases are not a candidate solution.

However, most databases under Column-oriented (aka wide-column store) are block-chains.

BTW, the source for the advantages I listed are section 11.8-11.9 in 

Burns, A & Wellings, A 2009, Real-Time Systems and Their Programming Languages, 4th edition, Addison-Wesley.

By counting the pics in the histogram of your data.

Look for reference architectures and patterns for big data. This book provides a good source of information in this context:

You could use R (www.r-project.org) with database connections. It is not a tool in the same way as Weka, but a programming language with numerous packages for, for example, data mining.  Care must be taken if data is TOO large to fit in main memory. AFAIK, there are packages for that too, but care must be taken. AFAIK, R can be used together with Hadoop if data i large. 

http://www.informationweek.com/big-data/big-data-analytics/facebook-on-big-data-analytics-an-insiders-view/d/d-id/1109106?

Victor,

The challenge in this area of adversarial knowledge discovery is that you cannot assume in any analysis that the distributions are slowly varying. As soon as an adversary gains or assumes that data analysis is being carried out, there is a possibility that he will change the pattern to hide his behavior.

Look at the work of David Skillicorn for general overview on the subject or search under adversarial machine learning if you are into that specific area.

Hi Mr Selvakumar,

Yes I used SVM for CBIR.

An interesting tutorial you can find here: http://hortonworks.com/hadoop-tutorial/how-to-process-data-with-apache-hive/

This a question usually asked by programmers who don't truly understand data architecture. The right tool for the job...but one still has to fully understand the tool to obtain the greatest benefit. Simple? It doesn't get any simpler than a well designed RDBMS...unfortunately, that's a rare occurrence.

Dear Amit Kumar Roy,

Generally, Active Power and Reactive Power are (Depends on ) coupled to Voltage as well as frequency. However, In case of Power system transmission, R/X ratio is small and due to this, we are assuming decoupling between Active Power  and voltage, Reactive power and frequency (i.e Active Power is coupled with only frequency and Reactive with voltage). In case distribution, this assumption is not realistic. As mentioned in above comment, to decouple these, we are modelling in DQ frame and designing controller.

go to the link: http://www.eecs.yorku.ca/course_archive/2013-14/W/4411/notes/plan.pdf

it will help you

The differences are on two levels: technology and business model. Grid is a technology to federate and share resources of different ownership. Cloud is a technology to sell resources that belong to one provider. Grid is communism, Cloud is capitalism, to make it simple. Technologies differ because of different business models. Both can make use of virtualised resources, but while for Grids virtualisation is not too important, for Clouds it is necessary. I disagree with the answer above that suggests that Grids provide IaaS - no, they actually don't. Computing Grid services are interfaces to various resource management systems or environments, not to bare infrastructure. Grid is realised as a middleware - a layer on top of existing systems (which may be virtual). Cloud is not a middleware, it is a resource management solution by itself.

Can you write up some details as to how and under which scenarios you want to use the database solution?......Generally, we have Oracle 11g and IBM DB2, but these are for really big enterprises......An alternative to MySQL is PostgreSQL.....Also there are quite a few different types of storage engines in MySQL suited for different needs......One other dimension is databases for Mobile Devices where you have SQLite. So, its basically more about the usage.....I can help you out on that