Emerging advanced analytics and new data types require data scientists to leverage a variety of data processing techniques. These techniques include user languages, such as SQL, R, and Python, as well as various technologies, such as Artificial Intelligence, Machine Learning, and Graph Analytics.
There are significant challenges to implementing these technologies in production. For example, AI/ML requires substantial upfront data preparation before model creation. The problem is that the data is often located on different systems and requires significant data movement to bring the data to the analytics. This results in increased time and data duplication. After modeling, the data is then moved back into the database for production. This overall process is inefficient and can lead to increased costs and long development times.
In order to address these challenges and to deliver evolutionary methodology with revolutionary results, Teradata® delivers Teradata Vantage—an advanced analytics platform.
Teradata Vantage is the connected multi-cloud data platform for enterprise analytics, enabling users to solve complex data challenges from start to scale. With a modern architecture and built on an open ecosystem, customers worldwide across a range of industries use Vantage to deliver business outcomes and turn data into one of their greatest assets.