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As per the available reports around 7 National symposiums, 1 Open Access Articles, 4 Conference Proceedings are going to be held across the world.
A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources. It separates analysis workload from transaction workload and enables an organization to consolidate data from several sources. A data warehouse is the concept of data extracted from operational systems and made available as historical snapshots for ad-hoc queries and scheduled reporting. Characteristics that distinguish data in the data warehouse from data found in the operational environment are that it is: organized in such as way that relevant data is clustered together for easy access, several copies of the data from various points in time are kept together, and once the data is placed into the data warehouse it is not updated. Rather, the historical snapshots stored in the Data Warehouse are periodically refreshed with data from the operational databases. Topics like Business intelligence and data warehousing for healthcare , Computational Modelling , Machine learning .
OMICS International Organizes 1000+ Global Events Every Year across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 700+ Open access journals which contains over 100000 eminent personalities, reputed scientists as editorial board and organizing committee members. The conference series website will provide you list and details about the conference organize worldwide.
Scope and Importance
In computing, a data warehouse (DW, DWH), or an enterprise data warehouse (EDW), is a system used for reporting and data analysis. Integrating data from one or more disparate sources creates a central repository of data, a data warehouse (DW). Data warehouses store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.
Market analysis:
The Data Warehousing market has been achieving strong revenues. The Global Market Statistics shows that it has reached a revenue height of 7.15USD (billion), 4.15 USD (billion) and 5.12 USD (billion) for services, hardware and software, respectively for the year 2013. The global market statistic also shows a revenue forecast for the global big data market from 2011 to 2017. For 2016, the source projects the global big data market is predicted to grow to more than 45 billion U.S. dollars in revenue.
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This page was last updated on November 5, 2024
