what are the olap tools?
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OLAP tools enable users to analyze multidimensional data interactively from multiple perspectives. OLAP consists of three basic analytical operations: consolidation (roll-up), drill-down, and slicing and dicing.
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['Unstructured Data.', 'Semi-Structured Data.', 'Structured.']
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Most business applications store data in an OLTP (On-Line Transaction Processing) database, which is accessed by numerous users to perform fast, simple queries. ... On the other hand, OLAP systems integrate data from these transactional sources and present a multi-dimensional view for reporting and analytics.
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['Data Market. ... ', 'Data StreamX. ... ', 'Knomea. ... ', 'LexisNexis. ... ', 'Google Public Data. ... ', 'Amazon Web Services. ... ', 'Quandle. ... ', 'Figshare.']
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An operational database query allows to read and modify operations, while an OLAP query needs only read only access of stored data. An operational database maintains current data. On the other hand, a data warehouse maintains historical data.
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['Storage.', 'General Purpose Execution Engines.', 'Database Management Tools.', 'Data Abstraction Engines.', 'Real-Time Data Streaming.', 'Graph-Processing Engines.', 'Machine Learning.', 'Cluster Management.']
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OLAP Cube is also called the hypercube. Usually, data operations and analysis are performed using the simple spreadsheet, where data values are arranged in row and column format. This is ideal for two-dimensional data. ... The cube can store and analyze multidimensional data in a logical and orderly manner.
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Perhaps the most influential and established tool for analyzing big data is known as Apache Hadoop. Apache Hadoop is a framework for storing and processing data at a large scale, and it is completely open source.
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VLOOKUP. VLOOKUP is one of the most useful and recognizable data analysis functions. As an Excel user, you'll probably need to “marry” data together at some point.
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['Create, alter, and drop schema objects.', 'Grant and revoke privileges and roles.', 'Analyze information on a table, index, or cluster.', 'Establish auditing options.', 'Add comments to the data dictionary.']
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OLAP and Data Mining Comparison OLAP summarizes data and makes forecasts. For example, OLAP answers questions like "What are the average sales of mutual funds, by region and by year?" Data mining discovers hidden patterns in data. Data mining operates at a detail level instead of a summary level.
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Why Do We Need ETL Tools? ... ETL tools contain graphical interfaces which speed up the process of mapping tables and columns between the source and target databases. ETL tools can collect, read and migrate data from multiple data structures and across different platforms, like a mainframe, server, etc.
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['Oracle Data Management Suite. ... ', 'SAP Data Management. ... ', 'IBM Infosphere Master Data Management Server. ... ', 'Microsoft Master Data Services. ... ', 'Dell Boomi. ... ', 'Talend. ... ', 'Tableau. ... ', 'Amazon Web Services - Data Lakes and Analytics.']
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['Microsoft SQL Server.', 'Microsoft SQL Server Analysis Services for MDX, DMX, Microsoft Power Pivot, and tabular models.', 'Microsoft Azure SQL Database.', 'Oracle.', 'SAP BW.', 'Hyperion Essbase.', 'Microsoft SharePoint List.', 'Teradata.']
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The primary use for SSIS is data warehousing as the product features a fast and flexible tool for data extraction, transformation, and loading (ETL).). The tool may also be used to automate maintenance of SQL Server databases, update multidimensional cube data, and perform other functions.
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['Column Chart. This is one of the most common types of data visualization tools. ... ', 'Bar Graph. ... ', 'Stacked Bar Graph. ... ', 'Line Graph. ... ', 'Dual-Axis Chart. ... ', 'Mekko Chart. ... ', 'Pie Chart. ... ', 'Scatter Plot.']
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['Amazon Redshift. Redshift is a cloud-based data warehousing tool for enterprises. ... ', 'Microsoft Azure. Azure SQL data warehouse is a cloud-based relational database from Microsoft. ... ', 'Google BigQuery. ... ', 'Snowflake. ... ', 'Micro Focus Vertica. ... ', 'Teradata. ... ', 'Amazon DynamoDB. ... ', 'PostgreSQL.']