Implementation of NoSQL-based Data Warehouses
نویسندگان
چکیده
منابع مشابه
Implementing Multidimensional Data Warehouses into NoSQL
Not only SQL (NoSQL) databases are becoming increasingly popular and have some interesting strengths such as scalability and flexibility. In this paper, we investigate on the use of NoSQL systems for implementing OLAP (On-Line Analytical Processing) systems. More precisely, we are interested in instantiating OLAP systems (from the conceptual level to the logical level) and instantiating an aggr...
متن کاملAdvanced Implementation Techniques for Scientific Data Warehouses
Data warehouses using a multidimensional view of data have become very popular in both business and science in recent years. Data warehouses for scientific purposes such as medicine and bio-chemistry1 pose several great challenges to existing data warehouse technology. Data warehouses usually use pre-aggregated data to ensure fast query response. However, pre-aggregation cannot be used in pract...
متن کاملTrajectory Data Warehouses: Design and Implementation Issues
In this paper we investigate some issues and solutions related to the design of a Data Warehouse (DW), storing several aggregate measures about trajectories of moving objects. First we discuss the loading phase of our DW which has to deal with overwhelming streams of trajectory observations, possibly produced at different rates, and arriving in an unpredictable and unbounded way. Then, we focus...
متن کاملUsing the column oriented NoSQL model for implementing big data warehouses
The column-oriented NoSQL (Not Only SQL) model provides for big data the most suitable model to the data warehouse and the structure of multidimensional data as the OLAP cube and allows it to be deployed in the cloud and a high scalability whilst delivering high performance. In the absence of a clear approach which allows the implementation of data warehouses using this model, we propose in thi...
متن کاملOntoMongo- Ontology-Based Data Access for NoSQL
Ontology-based data access (OBDA) has gained attention in recent years for providing access to large volumes of data by using ontologies as a conceptual layer and exploring their ability to describe domains and deal with data incompleteness. This is done through mappings that connect the data in the database to the vocabulary of the ontology. The first OBDA studies were about data stored in rel...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Baltic Journal of Modern Computing
سال: 2018
ISSN: 2255-8942,2255-8950
DOI: 10.22364/bjmc.2018.6.1.04