Modern Data Integration | Hadoop & Big Data | Diyotta
Blog Diyotta. Diyotta is a leader in modern data integration. Very recently, Diyotta has been in the top 10 list of data technologies in 2016....
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Blog.diyotta.com news digest
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6 years
Hadoop Best Practices for Handling Structured Data – Transforming Data with Hive
The second post in this series discussed best practices when building batch data pipelines using Hive and the storage formats to choose for the data on HDFS. Continuing the series, this post discusses the best practices to employ in transforming data...
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6 years
Enterprise Metadata: The Key to Information Value
Enterprise metadata – that is, all major reference and transactional business, technical and process data definitions within an organization – is still plagued with the misconception that it is a technical luxury in many organizations. In those organizations...
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6 years
Hadoop Best Practices for Handling Structured Data – Building Batch Data Pipelin...
As discussed in the first post of this blog series, Hive is a mature platform and is an excellent choice for heavy ETL/ELT type workloads. The following outlines best practices and recommendations when implementing Hive data pipelines for ETL/ELT type...
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6 years
Integrating Diyotta’s MDI Suite Metadata into IBM Information Governance Catalog...
The key to unlocking the hidden potential of big data lies in the definitions and context of the data. Known as metadata, definitions about the origin, movements and transformations provide the means of understanding data and help set the context for...
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