Meta Data is data that describes other data in a structured, consistent form, so that large amounts of data can be collected, stored, and analyzed over time.
Metadata is used to store big data in data warehouses for easy retrieval and management. A data warehouse uses structured data in data sources that are standardized, cleaned, and consistent. Metadata provides uniformity in the collection and storage of this data, so business owners and data analysts can easily access and derive insights from the data.
Effective management of meta data is a necessary part of robust and flexible big data “ecosystems,” that is, it helps companies manage their data assets efficiently and makes that data available to data scientists and other analysts.
MongoDB is a cross-platform, open-source database that uses a document-oriented data model rather than a relational database structure based on a traditional table.
Apache Hive is an open source data warehouse infrastructure that provides tools for data summarization, querying, and analysis.
Data integration is a complex process by which data from different data sources and IT systems of a company is combined, enhanced, enriched and cleaned
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