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Data Warehouse tools

Data Warehouse tools

Data Warehouse tools are fundamentally used for various actions performed on a Data Warehouse, such as the process of Cleansing the data and segregating it from junk or duplicate data, the process of ETL (Extracting, transforming & Loading) the data from various formats of sources into a single common format in the destination, the process of querying the data in order to fetch, update, delete or analysis the various combinations of data, the process of generating reports for analysis and important business decision-making processes.

List of Data Warehouse Tools-

  1. QuerySurge.
  2. CloverDX.
  3. Teradata.
  4. Dundas.
  5. SAS.
  6. Sisense.
  7. Tableau.
  8. BigQuery.
  9. PostgreSQL.
  10. Pentaho.
  11. Solver BI360.

  1. QuerySurge:   QuerySurge is an RTTS-developed solution for ETL testing. It is specially designed for the automation of data storage and big data testing. It guarantees that in the target schemes too, information obtained from sources remain intact.

  1. CloverDX:   CloverDX is a data integration platform that was designed for the people who need complete and thorough control over what they are doing, trying to fix complicated problems in intensive environments and rather than developing their own they will prefer to buy good-from-breed tools. It provides an interface with other external systems.

  1. Teradata:     Another Data warehouse tool is Teradata which is used for displaying and handling large quantities of information in the data warehouse. The organization boasts that the solution from Vantage is “the platform for Pervasive Data Intelligence” and “the software of its kind that manages all information on a constant basis.” Vantage provides complete integration with many instruments and languages as well as leading analytical engines

  1. Dundas:It is a dashboard, analytics, reporting tool. With Dundas, unlimited data transformation is possible. It provides features to create attractive data like charts, tables styles, graph, text formatting, et

  1. SAS: SAS is one of the large data warehouse tools that help users to access information from Different data sources. Analyzing big information with SAS makes it simple. SAS also provides data across organizations. Raw data files can be viewed in external databases and information can be managed using different information tools and scientific graphs and reports.

  1. Sisense: Sisense is a business intelligence tool that analyzes and visualizes in real-time both large and disparate datasets. It is an ideal method for preparing complex information for dashboards with a wide range of displays.

  1. Tableau: Many Business Intelligence industry using this tool for visualizing data. It helps to analyze complex data in a simple format. Data visualizations created with this tableau tool are in the form of dashboards and worksheets.

  1. BigQuery: BigQuery is a business-level, cloud-based data warehouse tool offered by Google. The platform is built to save time by storing and querying big datasets by providing super-fast SQL queries in seconds against multi-terabyte datasets, giving users with real-time insights into data. Google BigQuery offers automatic information transfer and complete data access control.

  1. PostgreSQL: PostgreSQL is an open-source powerful object-related database system with more than 30 years of active growth that has earned it a strong reputation for reliability, robustness, and efficiency.

  1. Pentaho: Pentaho is open-source. This tool not only used for data warehouse but also used in the business analysis process. It is designed with its integrated, modern, embeddable and future-organized analytics platform, including diverse and big data demands, for continuous innovation. The tool allows big data integration without coding

  1. Solver BI360:  Solver BI360 gives 360 data, reporting, data storage, and interactive Dashboards as part of the complete business intelligence platform. In the Data Explorer, users can view data and add sizes and modules readily



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