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Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relationaldatabases, data warehouses, big data, and on-cloud data.
Implementing data virtualization requires fewer resources and investments compared to building a separate consolidated store. Enhanced datasecurity and governance. All enterprise data is available through a single virtual layer for different users and a variety of use cases. ETL in most cases is unnecessary.
You should be thorough with technicalities related to relational and non-relationaldatabases, Datasecurity, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.
It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions. Cloud migration has several benefits, including improved data accessibility, more straightforward data backup and disaster recovery, and lower infrastructure expenses.
DataFrames are used by Spark SQL to accommodate structured and semi-structured data. You can also access data through non-relationaldatabases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System.
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