Data Warehousing Archives - Locus IT Services

Data Warehousing

System used for reporting and data analysis.

Data warehousing is the process of constructing and using a data warehouse. A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making. Data warehousing involves data cleaning, data integration, and data consolidations. It is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed for greater business intelligence. Data warehouses use a different design from standard operational databases. The latter are optimized to maintain strict accuracy of data in the moment by rapidly updating real-time data. Data warehouses, by contrast, are designed to give a long-range view of data over time. They trade off transaction volume and instead specialize in data aggregation. There are decision support technologies that help utilize the data available in a data warehouse. These technologies help executives to use the warehouse quickly and effectively. They can gather data, analyze it, and take decisions based on the information present in the warehouse. The main source of the data is cleansed, transformed, catalogued, and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support. However, the means to retrieve and analyze data, to extract, transform, and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.

System used for reporting and data analysis.

Data warehousing is the process of constructing and using a data warehouse. A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making. Data warehousing involves data cleaning, data integration, and data consolidations. It is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed for greater business intelligence. Data warehouses use a different design from standard operational databases. The latter are optimized to maintain strict accuracy of data in the moment by rapidly updating real-time data. Data warehouses, by contrast, are designed to give a long-range view of data over time. They trade off transaction volume and instead specialize in data aggregation. There are decision support technologies that help utilize the data available in a data warehouse. These technologies help executives to use the warehouse quickly and effectively. They can gather data, analyze it, and take decisions based on the information present in the warehouse. The main source of the data is cleansed, transformed, catalogued, and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support. However, the means to retrieve and analyze data, to extract, transform, and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.

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Nov
Posted by vishwas | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,  |

TIBCO Data Warehouse

Data Warehouse is a central repository of integrated data from more various sources. TIBCO Data Warehouse stores historical data to create analytical reports for knowledge workers throughout the enterprise. A TIBCO Data Warehouse

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Nov
Posted by Akshay | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,  |

Oracle Data Warehouse

This article provides an overview of Oracle Data Warehousing implementation. A data warehouse is a database designed to enable Business Intelligence (BI) activities. Data Warehouse is created for query and analysis rather than

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15
Nov
Posted by Akshay | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,  |

SAP Data Warehouse

SAP Data Warehouse simplifies the provisioning of timely business insights using advanced in-memory computing technology and streamline processes and support innovations with a single, trusted source for real-time insights. Based

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30
Oct
Posted by Akshay | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,  |

IBM Cognos Data Warehouse

IBM provides multiple Cognos data warehouse offerings, including on-premises, on cloud and as an integrated appliance. Entire three platforms offer a common SQL engine to streamline queries and flexible licensing for

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Oct
Posted by Akshay | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,  |

Teradata Data Warehouse Migration

Performing Data Warehouse Migration of your analytics infrastructure to Teradata — from Oracle, IBM DB2, Netezza, or other platforms — can improve your analytical environment performance, scalability, and manageability. Teradata Data

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30
Oct
Posted by Akshay | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,  |

Snowflake and Tableau Data Warehouse

Snowflake and Tableau Data Warehouse unique architecture provides complete relational database support for both structured data, such as CSV files and tables, and semi-structured data, including JSON, Avro, Parquet, etc., all

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Sep
Posted by LocusIT.com | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,  |

Tableau and Enterprise Data Warehouse

Enterprise data sets are detailed, large, and often complex. For the typical report or spreadsheets recipient looking for the underlying patterns, this is a worst-case combination. Reports that are often designed

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