From Relational Database Management to Big Data: Solutions for Data Migration Testing
ثبت نشده
چکیده
Enter Hadoop, the de facto open source standard that is increasingly being used by many companies in large data migration projects. Hadoop is an open-source framework that allows for the distributed processing of large data sets. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. As data from different sources flows into Hadoop, the biggest challenge is “data validation from source to Hadoop.” In fact, according to a report published by IDG Enterprise, “70% of enterprises have either deployed or are planning to deploy big data projects and programs this year.” 2 Executive Summary
منابع مشابه
From Relational Database Management to Big Data: Solutions for Data Migration Testing
Enter Hadoop, the de facto open source standard that is increasingly being used by many companies in large data migration projects. Hadoop is an open-source framework that allows for the distributed processing of large data sets. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. As data from different sources flows into Hadoop,...
متن کاملComparisons of Relational Databases with Big Data: a Teaching Approach
The paper's objective is to provide classification, characteristics and evaluation of available relational database systems which may be used in Big Data Predictions and Analytics. In addition, it provides a teaching approach from moving relational database to the Big Data environment. In this study, we try to answer the question of why Relational Database Bases Management Systems such as IBM’s...
متن کاملApply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML
As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...
متن کاملApply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML
As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...
متن کاملScale out databases for CERN use cases
Data generation rates are expected to grow very fast for some database workloads going into LHC run 2 and beyond. In particular this is expected for data coming from controls, logging and monitoring systems. Storing, administering and accessing big data sets in a relational database system can quickly become a very hard technical challenge, as the size of the active data set and the number of c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015