Enterprise-wide Machine Learning using Teradata Vantage: An Integrated Analytics Platform
| Autor: | Awny Al-Omari, Choudur Lakshminarayan, Faraz Ahmad, Sri Raghavan, Khaled Bouaziz, Thiagarajan Ramakrishnan, Prama Agarwal |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Corporate governance 05 social sciences Principal (computer security) Big data Fault tolerance 010501 environmental sciences Machine learning computer.software_genre 01 natural sciences Visualization Data model Analytics 0502 economics and business Spark (mathematics) Artificial intelligence 050207 economics User interface business Transaction data computer 0105 earth and related environmental sciences |
| Zdroj: | IEEE BigData |
| Popis: | Big data characterized by variety can be divided into 3 principal categories: numeric structured data, semi-structured data, and unstructured multimedia data involving audio, video, and text. Decision making requires multiple analytical engines suitable for each type of data, programming languages, algorithms, visualization tools, and user interfaces. More often than not, industrial analytics is conducted ad hoc by lashing together analytics components such as distributed data sources, analytics engines, and algorithms. This kind of piecemeal approach ignores scale, security, governance, reliability, model management and fault tolerance that are paramount for industrial strength analytics. A unified, versatile, and robust architecture that combines various components in a single integrated platform is the need of the hour. Teradata Vantage (TD Vantage) is such a platform for delivering production quality enterprise analytics at scale. In this paper, we outline the proposed TD Vantage (available in the market and under continuous development) that unifies data, engines, and algorithms operating in a seamless symphony. We will demonstrate its capabilities through three proofs of concept biz: image data using TensorFlow, text data using Spark, and transaction data using Aster (now renamed Machine Learning Engine or MLE), with Teradata orchestrating interactions among the various components. |
| Databáze: | OpenAIRE |
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