Teradata Expands Vantage Support for Data Science
September 09 2020 - 9:00AM
Business Wire
With expanded analytic functions as well as
tools and language support, Teradata Vantage enables a diverse
group of analytics personas to collaborate on data science
workflows
Teradata (NYSE: TDC), the cloud data analytics platform company,
today announced enhancements to its Vantage platform, making
collaborative and frictionless data science a reality. By
significantly increasing the collaboration between data scientists,
business analysts, data engineers, business leads and others who
may use different tools and languages, Vantage allows organizations
to realize faster time to value and reduced costs with stronger
data governance and security.
Key enhancements – free to all Teradata Vantage customers –
include:
1)
Expanded native support for R and
Python, with the ability to call more Vantage-native analytic
functions, as well as the ability to execute a wide range of
open-source analytic algorithms/packages;
2)
Automatic generation of SQL from
R and Python code, making it easier and faster for data scientists
and business analysts to work together seamlessly to quickly
operationalize new insights; and
3)
Added support for JupyterHub for
Python, R and SQL, in addition to the existing support for popular
development environments such as JupyterLab and RStudio.
With this enhanced level of support for data science on Vantage,
businesses can achieve end-to-end data science workflows on a
single, scalable, reliable and secure platform, without the need to
create data silos or sample data. This enables a wide range of
personas to collaboratively run complex analytics in a self-service
manner, on one platform and with the same data, ensuring efficient
operationalization. This shared journey ensures consistent
stakeholder buy-in, a fail-fast approach that delivers timely
course corrections, and a consensus-based method for delivering
long-term business outcomes.
“As businesses increasingly rely on virtual connectivity to keep
operations running, collaboration has emerged as the key success
factor for many functions, especially analytics,” said Sri
Raghavan, Director of Data Science and Advanced Analytics Product
Marketing at Teradata. “With greater functionality and expanded
support for data science to help analytics users better communicate
and collaborate, Vantage helps remove friction from the data
science process so customers can derive mission-critical insights
at record speed and scale. And given the broad deployment options
for Vantage – public clouds, including AWS, Azure, and Google Cloud
Platform later this year, as well as hybrid and multi-cloud –
customers are given the flexibility to leverage the platform’s
enhanced data science capabilities in the environment of their
choice.”
In addition to increased collaboration, businesses will realize
reduced costs in the form of minimizing or eliminating false
starts, inappropriate analytic usage, lock-in to one form of
implementation (e.g., on-premises versus cloud) and faster
iterations towards achieving specific business goals. Vantage’s
strong support for data governance and security also ensures the
highest degree of freeform collaboration, without the downside
risks of unauthorized access and performance bottlenecks.
A complete list of the new enhancements and support for data
science on the Vantage platform includes:
- Expanded choice of analytic functions: Gives data
scientists and business analysts a larger set of powerful analytic
functions to leverage for increased collaboration:
- More Vantage functions available through R and Python:
Facilitates an expanded set of native Vantage analytics algorithms
(e.g., machine learning) called from R and Python, in addition to
SQL.
- Access to more R and Python analytics functions: Expands
a set of open source R and Python analytic algorithms (e.g.,
scikit-learn) which can be used with Vantage. Not only does Vantage
integrate with open source language and tools, but it provides a
wide breadth of native and open source algorithms to address
virtually any business challenge.
- Availability of a new Analytics Library: Adds a new set
of scalable advanced analytics built directly in Vantage, including
a set of data preparation and modeling functions that helps data
scientists spend less time with data preparation and more time
delivering insights.
- Automatic SQL statement generation to facilitate
communication between multiple user groups: Makes it easier for
data scientists, business analysts and developers to work together
through a single standard data management language (SQL) while
using a language of their choice (e.g., R and Python), through:
- SQL generated from R and Python: Enables R and Python
programmers to expose SQL statements used by Vantage with the
show_query() function thus enabling non-Python/R savvy programmers
to enhance, and also execute, complex analytic workflows.
- SQL generated from Vantage Analyst: Allows business
users and business analysts to discover fundamental insights from
Vantage Analyst’s graphical interface and also generate the
underlying SQL script automatically without having to write a
single line of code. The scripts can then be shared with developers
for more advanced implementations.
- Collaborative Development Environment: While R,
Python and SQL scripts can be executed by an analyst’s choice of
Integrated Development Environment (e.g., RStudio, JupyterLab,
Teradata Studio), Teradata’s support for JupyterHub - which allows
R and SQL script execution in addition to Python - facilitates
better code collaboration and best practice sharing.
Incorporating this functionality into Vantage allows current and
future Teradata analytics partners to more seamlessly utilize the
power of the Teradata platform within their own toolsets and
languages.
These new capabilities further support Teradata’s advocated
Analytics 1-2-3 strategy which holds that organizations can only
successfully scale their Machine Learning (ML) and Artificial
Intelligence (AI) initiatives by engaging in rapid experimentation
and agile model building by using curated features with high
predictive value. This ensures at scale operationalization and
quicker model redeployment.
Teradata Vantage is the leading hybrid, multi-cloud data
analytics software platform that enables ecosystem simplification
by unifying analytics, data lakes and data warehouses. With Vantage
delivered as-a-service, in the cloud, enterprise-scale companies
can eliminate silos and cost-effectively query all their data, all
the time, regardless of where the data resides – in the cloud, on
multiple clouds, on-premises or any combination thereof – to get a
complete, integrated view of their business. Vantage delivered
as-a-service subscriptions include Vantage software,
high-performance infrastructure, and environment management in one
convenient bundle.
Availability
Expanded support for data science on Vantage is free to Teradata
customers and automatically available now, except for the Analytics
Library, which will be available in late Q4 2020.
About Teradata
Teradata is the cloud data analytics platform company, built for
a hybrid multi-cloud reality, solving the world's most complex data
challenges at scale. We help businesses unlock value by turning
data into their greatest asset. See how at Teradata.com.
The Teradata logo is a trademark, and Teradata is a registered
trademark of Teradata Corporation and/or its affiliates in the U.S.
and worldwide.
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