Teradata introduces the analytics of the future with its Analytics Platform
Posted: Tue Jan 07, 2025 8:08 am
Teradata , the data analytics leader, today announced Teradata Analytics Platform . The modern platform provides all users across an organization with access to the tools and languages they prefer , at scale, across different data types . It does this by eliminating the need to move data and enabling users to perform analysis on large amounts of data more frequently and faster.
“In today’s environment, users have different analytics needs,” said Oliver Ratzesberger, Executive Vice President and Chief Product Officer at Teradata. “This leads to a proliferation of costly tools and approaches. With the unprecedented versatility of the Teradata Analytics Platform, we are solving this problem by incorporating a choice of preferred functions, analytical tools and languages across different data types. Combined with best-in-class scalability, elasticity and performance, the Teradata Analytics Platform delivers greater business insight for our customers.”
There are now many more tools available, and analysts want to use the vietnam phone number methods most appropriate for their projects . For example, predicting a failure and supplying power to businesses and residences requires analysis and control of data from a variety of sources, including weather, utility, usage, transformer, and location information. Analyzing this data requires a variety of techniques that can be used to switch between languages, formats, interfaces, and systems. Relevant data must also be integrated and moved between systems.
With Teradata Analytics Platform, many of these steps are removed or combined. In fact, much of the data in the example will be integrated into a single ecosystem , which can also use data from other sources. Now with a single workflow, users are able to switch between the most common interfaces and tools, including open source and commercial. The result is faster, more accurate insights based on that data, rather than just a piece of it.
Teradata Analytics Platform
The platform is comprised of best-of-breed analytics tools and capabilities , the most popular languages, and support for a variety of data types. First, Teradata Analytics Platform will integrate technology from Teradata and Aster , enabling data scientists to run a variety of data preparation and analysis techniques in a single workflow. In the future, the platform will include cutting-edge tools such as Spark, TensorFlow, Gluan, and Theano to provide fast and easy access to algorithms, including AI and deep learning.
Teradata Analytics Platform delivers scalable analytics capabilities such as attribution, journey analysis, time series, and a range of statistical, text, and machine learning algorithms. By ingesting data into a high-velocity, structured analytics platform, Teradata Analytics Platform eliminates the need to store data in multiple tools, enabling analysts to hone their analysis.
Business analysts and data scientists use many different tools and languages, which are constantly changing and increasingly open source. The Teradata platform provides easy access to commercial and open source analytics technology. With support for Python, R, SAS, or SQL, analysts are able to easily access and analyze data in their language of choice. With tools like Jupyter, RStudio, KNIME, SAS, and Dataiku, Teradata AppCenter enables analysts to share applications with colleagues by deploying models in a web interface, giving users automatic access.
More and more data is being captured and stored in many types of formats, so supporting different types is essential to solve use cases including customer journey mapping and IoT. Businesses must ensure that users can easily access data from different sources and in its native form. Teradata Analytics Platform enables businesses to collect and analyze data in text, spatial, CSV, and JSON formats, including support for Avro, an open source data type by which developers dynamically process schemas.
“In today’s environment, users have different analytics needs,” said Oliver Ratzesberger, Executive Vice President and Chief Product Officer at Teradata. “This leads to a proliferation of costly tools and approaches. With the unprecedented versatility of the Teradata Analytics Platform, we are solving this problem by incorporating a choice of preferred functions, analytical tools and languages across different data types. Combined with best-in-class scalability, elasticity and performance, the Teradata Analytics Platform delivers greater business insight for our customers.”
There are now many more tools available, and analysts want to use the vietnam phone number methods most appropriate for their projects . For example, predicting a failure and supplying power to businesses and residences requires analysis and control of data from a variety of sources, including weather, utility, usage, transformer, and location information. Analyzing this data requires a variety of techniques that can be used to switch between languages, formats, interfaces, and systems. Relevant data must also be integrated and moved between systems.
With Teradata Analytics Platform, many of these steps are removed or combined. In fact, much of the data in the example will be integrated into a single ecosystem , which can also use data from other sources. Now with a single workflow, users are able to switch between the most common interfaces and tools, including open source and commercial. The result is faster, more accurate insights based on that data, rather than just a piece of it.
Teradata Analytics Platform
The platform is comprised of best-of-breed analytics tools and capabilities , the most popular languages, and support for a variety of data types. First, Teradata Analytics Platform will integrate technology from Teradata and Aster , enabling data scientists to run a variety of data preparation and analysis techniques in a single workflow. In the future, the platform will include cutting-edge tools such as Spark, TensorFlow, Gluan, and Theano to provide fast and easy access to algorithms, including AI and deep learning.
Teradata Analytics Platform delivers scalable analytics capabilities such as attribution, journey analysis, time series, and a range of statistical, text, and machine learning algorithms. By ingesting data into a high-velocity, structured analytics platform, Teradata Analytics Platform eliminates the need to store data in multiple tools, enabling analysts to hone their analysis.
Business analysts and data scientists use many different tools and languages, which are constantly changing and increasingly open source. The Teradata platform provides easy access to commercial and open source analytics technology. With support for Python, R, SAS, or SQL, analysts are able to easily access and analyze data in their language of choice. With tools like Jupyter, RStudio, KNIME, SAS, and Dataiku, Teradata AppCenter enables analysts to share applications with colleagues by deploying models in a web interface, giving users automatic access.
More and more data is being captured and stored in many types of formats, so supporting different types is essential to solve use cases including customer journey mapping and IoT. Businesses must ensure that users can easily access data from different sources and in its native form. Teradata Analytics Platform enables businesses to collect and analyze data in text, spatial, CSV, and JSON formats, including support for Avro, an open source data type by which developers dynamically process schemas.