这里涉及到一个概念: Data management pipeline. 这包括deduplication, quality filtering, toxicity filtering等, 同时还要考虑到social bias, datadiversity, data age等 deduplication 好处:基本上alleviate memorization(可能涉及到privacy attacks), train-test overlapping, 在保证model perplexity同时确保training efficiency...
A critical issue in Big Data management is to address the variety of data–data are produced by disparate sources, presented in various formats, and hence inherently involves multiple data models. Multi-Model DataBases (MMDBs) have emerged as a promising approach for dealing with this task as t...
5. Plan your discovery lab for performance Discovering meaning in your data is not always straightforward. Sometimes we don’t even know what we’re looking for. That’s expected. Management and IT needs to support this lack of direction or lack of clear requirement. ...
Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively.
MDM is also affiliated with data governance and data quality management, although it hasn't been adopted as widely as they have. That's partly due to the complexity of MDM programs, which mostly limits them to large organizations. MDM creates a central registry of master data for selected dat...
A transaction comprises a unit of work performed within a database management system (or similar system) against a database. Transactions are treated in a coherent and reliable way independent of other transactions. Transactions in a database environment have two main purposes:...
(metadata) for a given table, index, or partition. To get the actual number of page-compressed pages, use the column compressed_page_count in the dynamic management function (DMF) sys.dm_db_index_physical_stats. Note that in this output, even though the data compression setting of the ...
data, and the service layer supports applications. It delivers the following technical solutions for operators: efficient storage and processing, an integrated data platform, real-time streaming technology, E2E scenario modeling, innovative data monetization, and unified data operations and management. ...
We view that several key themes with the Big Data trend include (i) using a cloud for large-scale external and internal data; (ii) providing an easy-to-use but powerful services to access/manage/analyze the big data in the cloud; (iii) defining a problem-solving space and developing an...
Big data analytics analyzes large structured & unstructured varied datasets. Maximize data potential with Lenovo's cost-effective data management and analytics, expediting database planning, validation, and migration. Transform Big Data into valuable