Sydney, Australia – Teradata has launched a platform to let users throughout the organisation leverage their preferred tools and languages, at scale, across multiple data types. The Teradata Analytics Platform embeds analytics close to the data, so there’s no need to move the data. It lets users run their analytics against larger datasets faster and more often.
Alec Gardner, Director, Global Services and Strategy at Think Big Analytics, A Teradata Company, said, “The proliferation of big data means users have different needs, which has led to a broad variety of tools and approaches. Unfortunately, this means users often have to choose one tool at the expense of another, and the cost of doing so can quickly add up. The Teradata Analytics Platform is designed to overcome the challenge of siloed tools by offering a choice of analytic functions and engines, as well as the user’s preferred tools and languages across data types. This lets users get the business insight they need, faster and more easily.”
Choosing the right analytic tools and techniques can be complex, and different analytics projects need different tools. For example, simply predicting when a part may need to be replaced requires analysis and monitoring of data across many different sources, which could include weather, utility control, outage, usage, location, and other data. Gathering and analysing the data from all these different sources can demand that the analyst bounce between languages, data formats, user interfaces, and different systems altogether. They also need to integrate relevant data and move it across systems.
The Teradata Analytics Platform eliminates or combines many of these steps, integrating data within a single ecosystem that can easily support raw data from other sources.
Alec Gardner said, “The Teradata Analytics Platform offers a single workflow that lets users switch between the most common interfaces and tools, including commercial and open source. The result is better, faster, and more precise insights based on all the data, not just a subset.”
The Teradata Analytics Platform will integrate Teradata and Aster technology to start with, and will evolve to include leading engines such as Part, TensorFlow, Gluon, and Theano to provide quick and easy access to a full range of algorithms, including those for artificial intelligence and deep learning. This lets the platform provide scalable and analytic functions such as attribution, path analytics, time series, and a range of statistical, text, and machine learning algorithms. It eliminates the need to store data across multiple engines, so analysts can quickly iterate and refine their analysis. And it lets them share analytic applications with peers by deploying reusable models in a web-based interface, giving self-service access to business users.
Teradata Analytics Platform is part of Teradata Everywhere, a flexible, agile, and scalable way to ensure high return on investments, while limiting the risk in making those investments.
Alec Gardner said, “This new platform will address many challenges seen in today’s digital enterprises and will make it easier for these organisations to extract maximum value from their data with minimum risk. It will ensure the solutions being used are compatible and integrated, avoiding the lock-in that makes it hard for businesses to change architecture over time. Teradata addresses these challenges by offering the latest advanced analytics and AI capabilities within a single processing environment, available everywhere.”