Tag Archives: Teradata
Teradata Named a Cloud Database Management Leader in the 2020 Gartner Magic Quadrant for Cloud Database Management Systems
Teradata Vantage Also Ranked Highest in Three Out of Four Use Cases in the 2020 Gartner Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases
In tandem, Teradata Vantage – the company’s hybrid multi-cloud data analytics software platform – was also recognized with the highest scores in three out of four use cases in the 2020 Gartner Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases, issued November 24, 2020 by analysts Henry Cook, Donald Feinberg, Merv Adrian, Rick Greenwald, and Adam Ronthal. Among the 16 vendors evaluated, Teradata ranked highest in three out of four analytical uses cases – Traditional Data Warehouse, Logical Data Warehouse, and Data Science Exploration/Deep Learning – and ranked second in Operational Intelligence.
“Teradata is committed to providing the best enterprise data analytics in the cloud – period. This means offering our customers a modern data analytics platform that can handle the large and complex workloads that Teradata is known for, and flexible deployment options that don’t limit choice or lock them in,” said Steve McMillan, CEO, Teradata. “We’re the only data warehouse and analytics provider with hybrid multi-cloud offerings across the top three public cloud vendors, providing the same software, features, and experience regardless of environment. This recognition from Gartner validates the strength of our cloud position and further underscores the commitment to our customers to meet them wherever they are on their cloud journey.”
Teradata’s unique hybrid and multi-cloud offerings have become critical differentiators in the Cloud Database Management Systems market. According to Gartner, “The capability to work across intercloud, multicloud and hybrid is increasingly important. This will likely become a prerequisite for these systems.”
Gartner defines the Cloud Database Management Systems (DBMS) as a fully provider-managed public or private cloud software system that manages data in cloud storage. These management systems include specific optimization strategies designed for supporting traditional transactions and/or analytical processing covering one or more of the following seven use cases: Traditional and Augmented Transaction Processing; Traditional and Logical Data Warehouse; Data Science Exploration/Deep Learning; Operational Intelligence; and Stream/Event Processing. Data is stored in a cloud storage tier (e.g., cloud object store, HDFS or other proprietary cloud storage infrastructure), and may use multiple data models — relational, non-relational (document, key-value, wide-column, graph), geospatial, timeseries and others.
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, 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 view of their business. And now, Teradata is the only data warehouse and analytics provider with hybrid multi-cloud offerings across the top three public cloud vendors, offering maximum flexibility and choice to its enterprise customers.
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Gartner Disclaimer
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Teradata Appoints Todd Cione as Chief Revenue Officer
Experienced Global Sales Leader with Proven Record Growing Revenue and Executing Cloud Transformations
Teradata (NYSE: TDC), the cloud data analytics platform company, today announced the appointment of Todd Cione as Chief Revenue Officer, effective January 4, 2021.
Cione brings to Teradata more than 25 years of experience in global sales, marketing, channel, and operations at large multi-national technology organizations, including most recently at Apple, and previously with Oracle, Rackspace and Microsoft. He is a results-oriented executive with a proven track record of delivering predictable and profitable growth, and has successfully led organizations through cloud-based transformations. Cione will report to Steve McMillan, President and CEO of Teradata.
“I am pleased to welcome Todd to the Teradata team and look forward to working closely with him as we advance our go-to-market initiatives and deliver consistent, profitable revenue growth,” said McMillan. “We have been successfully executing on our cloud-first strategy, which has deeply resonated with our customers globally. We are confident that Todd’s experience and diverse skill set will be invaluable in helping customers unlock value from their data.”
“I am excited about joining Teradata and helping to accelerate its cloud-first momentum. I deeply share Teradata’s customer-centric purpose and look forward to delivering exceptional customer experiences with our cloud-based data analytics platform,” said Cione. “Working closely with Steve and the rest of the Company’s talented team, we will continue to help our customers harness the power of data and provide sustainable value for our shareholders. I look forward to hitting the ground running to drive sales strategies that strengthen our market position and continue to drive top-line growth.”
About Todd Cione
Cione most recently served as Head of U.S. Enterprise Accounts at Apple Inc., a role he held since 2017, where he was responsible for overseeing large enterprise customers and was a key contributor to driving customer success. Previously, he was SVP of Oracle’s Digital, North America Applications, and also served as Chief Revenue Officer of Rackspace. Additionally, Cione spent 15 years at Microsoft where he held roles of increasing responsibility in the U.S. and Asia, including General Manager, Asia Pacific Region Marketing & Operations, a market with over $ 4 billion in revenue, and General Manager and Managing Director, Asia Pacific Region Enterprise & Services Sales. During his tenure at Microsoft, Cione was an integral contributor to the Company’s transition to the cloud and helped launch Azure and Office 365 in U.S. and Asian markets.
Cione has a BA in English and Business from Baylor University with continuing executive education at INSEAD’s Asian International Executive Program and the University of Nebraska-Lincoln’s Gallup Leadership Development Program.
Teradata Extends Hybrid Multi-Cloud Capabilities as Customers Move More Workloads to the Cloud
Teradata QueryGrid Expands Access to Data with Broad Ecosystem Connectivity Enabling Customers to Leverage Data as their Greatest Asset
Teradata (NYSE: TDC), the cloud data analytics platform company, today announced it is extending the hybrid multi-cloud capability of Vantage, enabling customers to access data and analytics across heterogeneous technologies and public cloud providers with new cloud-native capabilities. With the latest release of Teradata QueryGrid, Teradata customers can connect to a vast array of new data sources regardless of where the data resides – in the cloud, on multiple clouds, on-premises, or any combination thereof – for timely and cost-effective analytics.
As organizations increasingly move all or part of their data infrastructure to the cloud or multiple clouds, the number of different data sources and processing engines continues to increase, as does the demand for timely access to data. Companies need to be able to connect to, access and combine information from all data environments at the same time, and at scale, to enable truly effective analytics. This scalable, parallel access to data sources helps companies leverage data as their greatest asset, providing them the information they need to make the best business decisions possible.
“Our customers are the largest and most complex companies in the world, and their data infrastructure and processing environments reflect this complexity. When it comes to these enterprises, it’s not a one-size-fits-all approach to data analytics. They require the ability to query multiple data sources across any environment – in the cloud, multi-cloud, hybrid or on-premises – at the same time, without sacrificing speed or accuracy, and at the lowest possible cost,” said Hillary Ashton, Chief Product Officer at Teradata. “With these cloud-native updates to Vantage’s high-speed data fabric, we continue to give our customers the utmost choice and flexibility in how and when they choose to access their data, while also eliminating data movement and increasing performance – optimizing cost and delivering analytics that matter.”
In addition to providing customers with parallel access to data at scale, Teradata QueryGrid also gives companies the ability to dynamically access data in hybrid and multi-cloud environments and push processing down to where the data resides, thereby reducing data movement, decreasing costs, and reducing time to query. This is especially useful when accessing data in cloud environments where there is an egress fee for exporting out data.
Starburst Enterprise Presto Integration
To extend the company’s reach to the most requested technologies, Teradata has partnered with Starburst Data to integrate a new Presto connector that allows Teradata Vantage users to leverage Starburst Enterprise Presto as part of QueryGrid. This integration with Starburst Enterprise Presto allows Vantage customers to connect to a vast array of new data sources that enable connectivity in a modern cloud architecture, including:
- MongoDB,
- Amazon Redshift,
- Databricks Delta Lake,
- Apache Cassandra,
- Google BigQuery,
- and numerous other data sources and processing engines.
“Starburst is on a mission to enable better and faster decisions by providing a single point of access to all data, no matter where it lives,” said Justin Borgman, Chairman and CEO, Starburst. “By combining Starburst Enterprise Presto with QueryGrid, we are able to offer our joint customers unprecedented reach to high-performance analytics across heterogeneous technologies and deployment platforms.”
Teradata Vantage with QueryGrid is certified on all the major cloud platforms including Google Cloud, AWS and Azure, and now has native integration with key cloud-native technologies such as Google Cloud Dataproc, Azure HDInsight, and Amazon EMR.
For Teradata customers maintaining an on-premises presence or working with hybrid cloud systems, Teradata has also announced an upgrade to its IntelliFlex platform featuring the latest second Gen Intel® Xeon® Scalable processors with 33% more cores than the previous generation. The latest release of the IntelliFlex platform provides customers with up to 30% performance improvement on typical data warehouse workloads and up to 40% on CPU intensive workloads, as well as a 50% increase in memory per node.
Availability
The latest release of Teradata QueryGrid is available globally, today.
The latest update to Teradata Intelliflex is available globally, today.
Teradata Announces Changes to Board of Directors
David Kepler and James Ringler to Retire; Board Size to be Reduced to Nine Directors
Michael Gianoni, Chairman of the Teradata Board of Directors, stated, “On behalf of the entire Board, I want to extend my gratitude to Dave and Jim for their distinguished service and significant contributions to Teradata over many years. Both Dave and Jim have been integral members of our Board since 2007 and we wish them all the best going forward.”
Mr. Gianoni continued, “As a Board, our focus is on best-in-class corporate governance that aligns with the execution of the Company’s long-term strategy. With effective and agile oversight, and a leadership team accelerating its cloud-based strategy, Teradata is extremely well-positioned to continue delivering for our customers, supporting our people and driving outstanding top and bottom line expectations to enhance shareholder value. The solid third quarter 2020 financial results announced today reflect the efforts of Steve McMillan and the entire team, and we look forward to continued success.”
Teradata Launches New ‘DataDNA’ Data Forensics Tool
New as-a-service offering automates discovery of cross-platform data lineage so customers can better understand data flow and utilization across their entire data analytics ecosystem
Enables simplified and accelerated migration to the cloud
Teradata (NYSE: TDC), the cloud data analytics platform company, today announced the availability of Teradata DataDNA – an automated service that produces data lineage and usage analytics. Using the power of Vantage, the company’s flagship hybrid multi-cloud data analytics software platform, DataDNA delivers transparency into an organization’s data assets and their utilization across the ecosystem, regardless of platform or technology, to ensure maximum analytic value is being derived throughout the enterprise. By giving businesses full insight into their data – including whether data is used, how it is used, and by whom – DataDNA enables customers to use data as their greatest asset, eliminating data redundancy, reducing cost, accelerating data integration, assisting in regulatory compliance, and increasing the return on investment.
Delivered by Teradata or one of its strategic integration and consulting partners, DataDNA also becomes an indispensable tool as companies migrate to Vantage in the cloud – helping them understand the interdependencies of their systems, data usage, and data flow, so they can make informed decisions on which applications to move, consolidate and simplify for their new cloud ecosystem.
“At Teradata, we have a deep understanding of analytic ecosystems and how data flows through an organization. That’s why we’re leveraging our expertise to help our customers better understand and manage their data assets across any platform,” said Niels Brandt, Vice President, Customer Success & Consulting at Teradata. “By automating data management, our customers will reduce their reliance on IT specialists for repetitive and low impact data management tasks; thereby releasing their productive time for increased collaboration, training and high-value services. And as more of our customers move to Vantage in the cloud, DataDNA provides insight to support ecosystem simplification and helps to identify data dependencies for accelerated migration plans and activities.”
DataDNA is an as-a-service offering that is customized for individual Teradata customers. By delivering this automated view into data assets — including their usage and cross-platform data lineage — DataDNA generates rapid new insights that improve new and existing business use cases by:
- Simplifying IT ecosystems and reducing associated costs;
- Eliminating data duplication;
- Providing self-service business insights;
- Ensuring efficient and fact-based data governance;
- Guaranteeing data quality;
- Reconciling data and processes across platforms; and
- Generating automated and accurate change impact analysis.
The demand for automated data management has increased dramatically in recent years as data proliferation has accelerated, creating a need for services and solutions that help companies understand their vast data ecosystems. With DataDNA, the insights into what systems do with data, and who is using that data, are derived from metadata. This makes the service much less invasive and the footprint much lighter, so that no intensive system processing is required.
According to Gartner’s Top 10 Trends in Data and Analytics, May 11, 2020, “By 2023, organizations utilizing active metadata, machine learning and data fabrics to dynamically connect, optimize and automate data management processes will reduce time to integrated data delivery by 30%.” This enables companies to leverage more of their data, faster, to gain rapid analytic insights.
Gartner also asserts in the Magic Quadrant for Metadata Management Solutions, October 16, 2019, by analysts Guido De Simoni, Mark Beyer, and Ankush Jain, that “Metadata supports understanding of an organization’s data assets, how those data assets are used, and their business value. Metadata management initiatives deliver business benefits such as improved compliance and corporate governance, better risk management, better shareability and reuse, and better assessments of the impact of change within an enterprise, while creating opportunities and guarding against threats.”
A complete list of DataDNA’s features include:
- Automated Data Lineage: Understand how data moves across the enterprise, at a column level, based on facts.
- Automated Data Usage Analysis: Understand who uses what data, when, and how. This can assist with clean up, decommissioning, PII data analysis, and regulatory compliance.
- Data Asset Catalog: Ability to identify the data that is an asset to an organization along with who uses the data – for data monetization purposes, data as a service, etc.
- Business Glossary Management: Helps companies build or manage business glossaries by linking the business glossary terms to the physical lineage from which the data arrives.
- Subject Area Fingerprinting: Understand the subject areas that are being used in IT environments and support Cloud migration use cases, duplication analysis, and much more.
- PII identification: Identify where PII data is stored and how it moves across an environment, using metadata. This light touch approach significantly reduces the system and human resources required to identify where PII data is held and who accesses it.
- Impact Assessment: With the touch of a button, run an impact assessment report to determine what impact a change will have across an entire connected lineage.
Availability
Teradata’s DataDNA is available globally, today.
Teradata Vantage Now Available on Google Cloud
Teradata Becomes Only Data Warehouse and Analytics Provider with Hybrid Multi-cloud Offerings Across Top Three Public Cloud Vendors
Teradata (NYSE: TDC), the cloud data analytics platform company, today announced general availability of Teradata Vantage on Google Cloud. This as-a-service offering provides access to Vantage – the powerful data and analytics platform that unifies analytics, data lakes and data warehouses – using increasingly popular Google Cloud resources. Teradata provisions and maintains secure, scalable environments on Google Cloud so that customers can focus on using data as one of their greatest assets.
This expansion of cloud data analytics options gives Teradata customers deployment flexibility. Teradata is the only data warehouse and analytics company to provide consistent features and software across on-premises, hybrid and multi-cloud environments on all three of the top public clouds. This flexibility includes both license and application portability that makes migrations to Google Cloud faster, with lower risk.
“Teradata is committed to providing the best enterprise data analytics in the cloud. For us, this means offering our customers modern data analytics, but also flexibility with deployment options that don’t limit choice or lock them in. Customers seem to appreciate this strategy, as our annual recurring revenue from cloud offerings doubled in 2019 and is on track to double again this year,” said Hillary Ashton, Chief Product Officer at Teradata. “Every company’s cloud strategy is different: for customers interested in cloud data analytics offerings using Google Cloud, Teradata is the only partner to meet their needs today, as well as tomorrow as their needs evolve.”
Subscriptions to Vantage on Google Cloud include the latest Teradata software, Google Cloud compute and storage resources, and environment management. Standard benefits of using the cloud for data analytics – agility to respond quickly to emerging situations as well as freeing up money and time to focus on more valuable activities – are amplified with as-a-service offerings. Teradata manages the performance, security, availability, and operations of a customer’s analytics infrastructure using Google Cloud, including detailed tasks like software patches, version upgrades and security monitoring with a 99.9% availability SLA.
“Organizations need to drive real value from their data, and we are delighted to partner with Teradata to help them do so,” said Kevin Ichhpurani, Corporate Vice President, Global Ecosystem at Google Cloud. “Bringing Teradata Vantage to Google Cloud provides our joint customers with a seamless path to hybrid cloud data storage and analytics, leveraging global, scalable infrastructure as well as Google Cloud’s differentiated capabilities in AI/ML.”
Specifically designed, cloud-first elements in Teradata Vantage add further benefits for joint Teradata-Google Cloud customers:
- Size and Scale: With support for large configurations (up to 128 virtual machines) and a 99.9% availability guarantee, Vantage on Google Cloud offers customers with exceptional data needs a new public cloud solution.
- First Party Service Integration: Users can join with and query data in Google Cloud Storage, Persistent Disk, and soon also Dataproc, as well as integrate with preferred data pipeline, business intelligence, and visualization tools such as Pub/Sub, Cloud Functions, Data Fusion, Looker, and more.
- Customer Experience: Google Cloud’s Live Migration technology helps Vantage on Google Cloud customers mitigate the impact of both planned and unplanned maintenance by migrating running instances to new ones instead of requiring them to be rebooted, soothing business interruptions.
- Separation of Compute and Storage: Coupled with simple point-and-click elasticity, independent resource scaling enables Vantage on Google Cloud to more efficiently match customer workload demands.
- Vantage Software Consistency: Customers can re-use previous Teradata investments and eliminate recoding when migrating from on-premises to Google Cloud, thereby saving money and reducing risk.
As with all Vantage delivered as-a-service deployments, Vantage on Google Cloud provides near real-time data analytics with multi-dimensional scalability and concurrency. Workload management on Vantage offers unrestricted data analytics and a seamless user experience that does not require knowledge about where a particular dataset resides. Support for many popular data analytics languages – SQL, R, Python, SAS and Java – is included and simplified budgeting via predictable subscription pricing with no hidden fees eliminates billing surprises to ensure financial clarity.
Availability
Teradata Vantage on Google Cloud is now generally available worldwide. Google Cloud regions from which Vantage on Google Cloud can be delivered are in countries including Australia, Canada, Germany, United Kingdom and the United States.
Note to Investors
This release contains forward-looking statements within the meaning of Section 21E of the Securities and Exchange Act of 1934. Forward-looking statements generally relate to opinions, beliefs and projections of expected future financial and operating performance, business trends, and market conditions, among other things. These forward-looking statements are based upon current expectations and assumptions and involve risks and uncertainties that could cause actual results to differ materially, including the factors discussed in this release and those relating to: the global economic environment and business conditions in general or on the ability of our suppliers to meet their commitments to us, or the timing of purchases by our current and potential customers; the rapidly changing and intensely competitive nature of the information technology industry and the data analytics business; risks inherent in operating in foreign countries, including foreign currency fluctuations; risks associated with the ongoing and uncertain impact of COVID-19 on our business, financial condition and operating results, including the impact of COVID-19 on our customers and suppliers; the timely and successful development, production or acquisition and market acceptance of new and existing products and services; recurring revenue may decline or fail to be renewed; and other factors described from time to time in Teradata’s filings with the U.S. Securities and Exchange Commission, including its annual report on Form 10-K for the year ended December 31, 2019 and subsequent quarterly reports on Forms 10-Q, as well as the Company’s annual report to stockholders. Teradata does not undertake any obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by law.
Teradata Appoints Nicolas Chapman Chief Strategy Officer
Chapman will lead the development of the current and future strategies for the organization, focusing on growth and innovation
Teradata (NYSE: TDC), the cloud data analytics platform company, today announced the appointment of Nicolas Chapman as Teradata’s Chief Strategy Officer (CSO). In this newly created position, Chapman will be responsible for working collaboratively across the organization to develop Teradata’s strategic plan, annual operating plan, as well as the ongoing measurement and refinement needed to achieve the company’s strategic goals.
“As we execute across the company to be cloud-first and accelerate our position as a profitable growth company, we must ensure that we have a well-defined strategic and operational plan that guides our way,” said Steve McMillan, CEO at Teradata. “Nicolas has a proven track record in accelerating organizational performance through cohesive strategy planning and execution. Teradata has made solid progress on this front over the last several years and Nicolas will help us build on our momentum.”
In his most recent role as SVP of Strategy at Imperva Inc., an enterprise cyber security software and services company, Chapman successfully led a team that worked to transform Imperva into a world-class, highly profitable growth company. Prior to that, Chapman held leadership roles at McKinsey & Company, guiding technology companies around the world in executing successful business turnarounds.
“Teradata’s market position and opportunities are tremendous,” said Nicolas Chapman, Chief Strategy Officer at Teradata. “It’s clear that Teradata has already turned a corner to become focused on providing the very best data analytics solutions for a hybrid, multi-cloud world, and I am committed to ensuring this momentum not only continues – but accelerates. By listening to the market and to our customers, we will find new opportunities to grow Teradata by providing value for our customers.”
During his time with Imperva and McKinsey, Nicolas was actively involved as an executive sponsor for various inclusion communities. Fluent in French, Chinese & Hungarian, Nicolas has a Bachelor of Arts (BA) degree in International Relations & Economics from the University of Toronto and an MBA from Columbia Business School.
Teradata Reports Inducement Award Pursuant to NYSE Rule 303A.08
In connection with Chapman’s appointment, Teradata also announced today that the Compensation and Human Resource Committee of the Board of Directors (the Committee) has granted an equity award to Chapman, effective September 22, 2020. The award was granted pursuant to the company’s previously-announced New Employee Stock Inducement Plan (NESIP) and as a material inducement to Chapman joining Teradata as Chief Strategy Officer.
The award granted to Chapman under the NESIP is a new-hire award consisting of service-based restricted share units covering 42,955 shares, which shall vest in equal amounts on the first, second and third anniversaries of the grant date. Pursuant to the NESIP, the company may grant equity incentive compensation as a material inducement for certain individuals to commence employment with Teradata within the meaning of Rule 303A.08 of the NYSE Listed Company Manual, and, as such, the NESIP is not a stockholder-approved equity compensation plan. As an award under the NESIP, the restricted share units were granted by the Committee in reliance on the employment inducement exemption under Rule 303A.08.
Teradata Expands Vantage Support for Data Science
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
SAN DIEGO – September 9, 2020 – 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:
- 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;
- 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
- 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.
- 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.
- 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.
Teradata University for Academics Expands Data and Analytic Training; Offers Hands-on, Educational Access to Vantage
Expanded partnership with the University of Arkansas brings Vantage into the classroom for faculty and students from academic institutions around the world
The Teradata University for Academics program, which for twenty years has provided access to Teradata technology and resources for schools who opt into the curriculum, is now offering complimentary technical education for anyone in the academic community – regardless of their association with Teradata. Also expanded is the coursework offered from Teradata, which now includes more than 145 hours of online technical training. These on-demand web-based courses, which can be taken for free as part of any university syllabus, include lab simulations and certification programs meant to teach both basic and advanced skills in SQL, Machine Learning, Automation and more. Popular courses include Teradata SQL, Big Data Concepts, Breaking the Language Barrier: When to Use Python, R and SQL, and Introduction to Data Science Process.
In addition to this unprecedented access to technical training, Teradata is also announcing an expanded partnership with the University of Arkansas to allow students and faculty from any university, worldwide, to gain hands-on experience with Teradata Vantage.
“While the decades-long partnership between Teradata and the University of Arkansas has always focused on preparing students for careers in big data, the resources we are now able to provide are truly unique for a university setting,” said Dr. Ron Freeze at the University of Arkansas. “We pride ourselves on turning out students that are not only educated in the theory of data and analytics, but who can also hit the ground running with real-world experience and insight. Offering this enviable academic opportunity to faculty and students from other colleges and universities is our pleasure.”
Teradata recently donated a new, state-of-the-art Vantage platform to the University of Arkansas, who agreed to provide direct, hosted access to the platform for tens of thousands of students from hundreds of colleges and universities. This is an expansion of the existing Teradata University for Academics program, whose most active participants hail from a wide variety of colleges worldwide, from Duke University and Oklahoma State University, to NIDA in Thailand.
“Teradata’s customers are some of the largest, most visionary companies in the world and they run their businesses on data. Nearly all of them need more data scientists and analytics experts, so we’re doing our part to make an education in data and analytics easily accessible,” said Susan Baskin, Director of Global Customer Education and Teradata University for Academics. “Our long-term partnership with the University of Arkansas is critical to that education because it provides the real-world experience that students need and companies value. When a graduate can lean on their practical experiences of using Vantage in the classroom – and showcase their certification to prove it – it heightens their market appeal while also making it easier for our customers to hire the qualified talent they need.”
To augment the practical experience of the program, Teradata also partners with the University of Arkansas to provide curated and anonymized data sets from companies such as Sam’s Club and Dillard’s. Available for free — courtesy of strong relationships cultivated by the University of Arkansas — students access, work with, and find insights using these real-world, massive data sets in the Teradata Vantage platform, ensuring that their academic experience can easily translate to a real-world setting.
About University of Arkansas
The University of Arkansas provides an internationally competitive education for undergraduate and graduate students in more than 200 academic programs. The university contributes new knowledge, economic development, basic and applied research, and creative activity while also providing service to academic and professional disciplines. The Carnegie Foundation classifies the University of Arkansas among fewer than 2.7 percent of universities in America that have the highest level of research activity. U.S. News & World Report ranks the University of Arkansas among its top American public research universities. Founded in 1871, the University of Arkansas comprises 10 colleges and schools and maintains a low student-to-faculty ratio that promotes personal attention and close mentoring