Tag Archives: Teradata
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
Teradata is Selected by Brinker International to Enhance Advanced Analytics, Machine Learning and Data Science Capabilities
Leading Casual Dining Restaurant Company Reinvests in Teradata as it Moves from On-Premises to the Cloud
Brinker is one of the world’s leading casual dining restaurant companies and has been a Teradata customer for more than two decades. Founded in 1975 and based in Dallas, Texas, Brinker owns, operates, or franchises more than 1,600 restaurants under the names Chili’s® Grill & Bar and Maggiano’s Little Italy®. Over the past year, Brinker has been working to further increase its capabilities in advanced analytics and data science.
“Being a data-driven organization allows us to make informed decisions to create a better Guest and Team Member experience,” said Pankaj Patra, senior vice president and chief information officer at Brinker International. “As we looked for more flexible and cost-effective ways to manage and access our data, we evaluated quite a few cloud-native providers. After careful consideration, we decided the best course of action would be to migrate to Teradata Vantage in the cloud and take advantage of its as-a-service offerings to support our analytic goals.”
With Teradata Vantage delivered as-a-service, in the cloud, enterprises such as Brinker can focus on mining their data for insights that drive business decisions, rather than on managing infrastructure. By integrating Vantage’s machine learning capabilities, Brinker can now apply advanced analytics and predictive modeling to its business processes, enabling more accurate sales forecasting, demand and traffic forecasting, team member management, recommendation engines for customers and more.
“We’re proud of our ongoing relationship with Brinker and its long-standing position as a leader in the restaurant industry – a position due in large part to its culture of innovation in using data and analytics to streamline business processes, facilitate rapid decision-making and turn insights into answers,” said Ashish Yajnik, vice president of Vantage Cloud at Teradata. “Our collaboration with AWS and participation in the AWS Independent Software Vendor (ISV) Workload Migration Program has helped Brinker successfully move their mission-critical data infrastructure to the cloud. We look forward to expanding our relationship by powering their advanced analytics and data science capabilities through the scalable, clean and trusted data foundation that the Vantage platform provides.”
Teradata is an Advanced Technology and Consulting Partner in the AWS Partner Network (APN). The company brings proven processes and tools to make migrations to Vantage on AWS low risk and the fastest path to customer value through the AWS ISV Workload Migration – an APN Partner program that helps customers migrate ISV workloads to AWS to achieve their business goals and accelerate their cloud journey.
“Through the AWS ISV Workload Migration Program, Teradata was able to help Brinker migrate to Vantage on AWS securely and cost effectively. We are pleased to collaborate with Teradata and its long-standing customer Brinker to enhance their cloud practices,” said Sabina Joseph, director, Americas ISVs, Amazon Web Services, Inc.
Teradata Vantage is the leading hybrid cloud data analytics software platform that enables ecosystem simplification by unifying analytics, data lakes and data warehouses. With Vantage delivered as-a-service, 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 using low cost object stores, on multiple clouds, on-premises or anywhere in-between – to get a complete view of their business. And by combining Vantage with first party cloud services, Teradata enables customers to expand their cloud ecosystem with deep integration of cloud-specific, cloud-native services.
Webinar
Join Teradata for a live webinar on July 29th, 8:00 – 9:00 a.m. PT featuring Mark Abramson, lead architect, BI and analytics at Brinker International, and William McKnight, president of McKnight Consulting Group. The session will be moderated by Ed White, vice president, portfolio marketing and competitive intelligence at Teradata. Details below:
Webinar: Brinker’s Journey Back to Teradata
Wednesday, July 29th
8:00 a.m. – 9:00 a.m. PT /
11:00 a.m. – 12:00 p.m. ET
Registration is required and is open to Teradata prospects, customers, analysts, partners and Teradata employees.
This interactive webinar will highlight:
- Brinker’s future analytic strategies and how Teradata will be part of its ongoing journey to lower overall costs and improve performance.
- How Brinker embraces and drives benefits using Teradata Vantage on AWS, particularly to meet their advanced analytics and computing needs.
- McKnight’s latest research into price-performance on modern cloud database management systems, including best practices.
About Brinker International, Inc.
Hi, welcome to Brinker International, Inc. (NYSE: EAT)! We’re one of the world’s leading casual dining restaurant companies. Founded in 1975 in Dallas, Texas, we stay true to our roots, but also enjoy exploring outside of our hometown. As of March 25, 2020, we owned, operated or franchised 1,675 restaurants in 29 countries and two territories under the names Chili’s® Grill & Bar (1,622 restaurants) and Maggiano’s Little Italy® (53 restaurants). Our passion is making people feel special and we hope you feel that passion each time you visit one of our restaurants or our home office. Find more information about us at www.brinker.com, follow us on LinkedIn or review us on Glassdoor.
Teradata Supports Volkswagen Industrial Cloud as Partner
SAN DIEGO and MUNICH, GERMANY – July 23, 2020 – Teradata (NYSE: TDC), the cloud data and analytics company, today announced that it will be a partner of the Volkswagen Industrial Cloud.
The Industrial Cloud – which is being developed by Volkswagen together with Amazon Web Services (AWS) – is an open IoT platform combining the data of all machines, plants and systems from all facilities of the Volkswagen Group. Teradata will support Volkswagen by providing cloud-based data analytics to optimize production processes and drive productivity increases in the plants.
“We are delighted to partner with Volkswagen as part of this open industry platform, joining other leading companies in shaping the future of digital production,” says Sascha Puljic, Vice President, Central Europe at Teradata. “Our cloud-based data and analytics solution provides comprehensive data intelligence and supports Volkswagen in fully leveraging the value of data in production to increase efficiency and quality.”
The aim of the Industrial Cloud is to integrate companies from the entire value chain of the automotive industry, creating a vast partner network that shares data and services so that all partners benefit – including suppliers, technology providers, system integrators, independent software vendors (ISVs), logistics providers and manufacturers.
In the future, all sensor data and other information will be integrated in the cloud-based platform and analyzed with intelligent algorithms. Relevant data will be made available to partners in the Industrial Cloud, creating enormous potential for optimizing production and logistics processes.
To this endeavor Teradata brings its extensive experience in industrial IoT data analysis, as well as its analytics platform – Teradata Vantage – which is available on AWS. Data analysis from the cloud is used throughout production at Volkswagen to, for example: optimize yield, implement data-based quality assurance and enable predictive maintenance.
Optimizing Production and Driving Productivity
One initial use case that showcases Teradata’s role in supporting Volkswagen’s efforts to improve production processes, is analyzing data from welding procedures in manufacturing:
- First, spot welding data and additional metadata is integrated and analyzed in Teradata Vantage.
- Using analytical models that include machine learning, Teradata classifies and refines the data based on various quality characteristics.
- Based on the results, the downstream inspection processes can be optimized, and required rework can be specifically assigned.
- The outcome is confident, documented quality of the manufactured parts as well as increased efficiency of the production and quality assurance processes.
Another example of Teradata’s future contribution comes from a set of preliminary projects being explored at the Volkswagen Group: Teradata was able to identify additional efficiency potential in production processes, using AI (artificial intelligence). The team analyzed sequence optimization for specific production plants, while also developing quality predictions for manufacturing processes and products.
Such use cases, driven by Teradata expertise in the manufacturing space, demonstrate the power of integrating data to elevate production processes and increase productivity.
About Volkswagen Group
The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. In addition, the Volkswagen Group offers a wide range of financial services, including dealer and customer financing, leasing, banking and insurance activities, and fleet management.
Teradata Strengthens Cloud Offerings on Amazon Web Services and Microsoft Azure
Continued investments in the cloud improve performance, security, availability, operations, ease-of-use and integration
As-a-service offerings for Teradata Vantage will soon be available across the top three public cloud providers, including Google Cloud Platform, in 2H 2020
Teradata (NYSE: TDC), the cloud data and analytics company, today announced a myriad of enhancements to its as-a-service offerings for Teradata Vantage on public cloud providers Amazon Web Services (AWS) and Microsoft Azure. The improvements will also apply to Vantage on Google Cloud Platform (GCP), which will begin limited availability in July 2020. The collection of upgrades, as well as the expansion of public cloud offerings, demonstrate Teradata’s ongoing, strong cloud commitment and underscore the company’s critical role in migrating enterprises to the cloud with easy and low-risk hybrid cloud deployments.
Business leaders are increasingly looking to cloud services to access and use software rather than take on the responsibility, cost and effort involved with owning and maintaining IT infrastructure. With the cloud offering new standards of speed, massive (and low cost) storage and scale – in addition to greater flexibility and more expansive service capabilities – it’s easy to understand the cloud’s rapid growth. Teradata enables enterprises to take full advantage of the cloud with quick and low-risk migrations and expansions, offering the industry’s most scalable hybrid cloud and multi-cloud deployments. Because Teradata Vantage software is consistent from one environment to the next, the process is greatly simplified and risk to analytics performance, security, availability and operations is mitigated.
“Teradata is heavily invested in the cloud and the sheer number of improvements we are introducing is a testament to our determination to continue providing customers with the lowest risk, easiest path to the cloud,” said Hillary Ashton, Executive Vice President of Teradata Products. “For many companies, hybrid cloud deployments are an ideal way to benefit from the cloud’s speed and scale without abandoning on-premises investments or regulatory compliance. Hybrid cloud and multi-cloud offerings remain an area of strength for Teradata and these updates advance our cloud offerings across the board.”
With Vantage delivered as-a-service, in the cloud, companies can start small and elastically scale compute and storage independently, and only when needed. The combination of pricing model flexibility with software tier choice enables Teradata’s cloud customers to match features and performance with diverse business requirements.
Through the enhancements announced today for Vantage on AWS, Azure, and soon also GCP, Teradata cloud customers gain access to the following improvements:
- Performance: Customers can experience reduced network latency via Teradata’s growing global footprint. With upgrades to compute instances and network performance, Teradata customers will also see improved query response times.
- Security: Teradata now offers support for customer-managed keys for both Vantage on AWS and Vantage on Azure. This alternative to the default of Teradata-managed encryption keys increases security options for Teradata customers.
- Availability: The service level agreement (SLA) for availability is now 99.9% for every as-a-service offering. Guaranteed, higher uptime leads to improved business productivity and increased customer satisfaction.
- Operations: Quicker compressed data migration times are the result of Teradata’s new data transfer utility (DTU) tool, yielding improved reliability and 20% faster transfers. Improved automation accelerates the submission and resolution of cloud customer requests.
- Ease of Use: Teradata upgraded the self-service web-based console with expanded options for monitoring and managing as-a-service environments, providing greater ease of use for as-a-service customers.
- Integration: Through co-development with engineering teams at AWS and Microsoft, Teradata provides greater convenience for customers via the integration of Vantage with multiple first party cloud services, including:
- Amazon Kinesis (data streaming);
- Amazon QuickSight (visualization);
- Amazon S3 (low-cost object store);
- Amazon SageMaker (machine learning);
- AWS Glue (ETL pipeline);
- Amazon Comprehend Medical (natural language processing);
- Azure Blob (low-cost object store);
- Azure Data Factory (ETL pipeline);
- Azure Databricks (Spark analytics);
- Azure ML Studio (machine learning);
- Microsoft Power BI Desktop (visualization); and more to come over time.
Teradata Vantage is the leading hybrid 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 anywhere in-between – 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
Enhancements to the as-a-service offerings for Vantage on AWS and Vantage on Azure are available now to all Teradata cloud customers on these public cloud providers. Similar enhancements will be available to Teradata customers in the Vantage on GCP limited availability program starting July 2020.
Teradata Expands Options for Disaster Recovery in the Cloud
As-a-service solution offering cost-effective alternative to on-premises systems using Vantage now available on Microsoft Azure and Amazon Web Services
In a data-driven world, analytics are mission-critical – and yet a substantial portion of enterprises do not have business continuity plans which include a dependable, secondary analytics environment for situations in which the primary system becomes unavailable, such as during a security breach or regional power outage. To mitigate such situations, Teradata offers Disaster Recovery as a Service, providing on-premises customers a public cloud environment ready to be spun up on-demand so that business operations can carry on with minimal disruption. Cloud-based disaster recovery solutions are extremely cost effective by virtue of minimal resource usage, which consists mostly of low-cost object storage for daily or weekly backups and hibernated compute for the secondary Vantage system in the cloud.
“Disaster Recovery (DR) is increasingly recognized by our customers as necessary, given that an unexpected loss of a production analytics system could mean more than just lost revenue. Unplanned downtime can lead to loss of data and business reputation, decreased client satisfaction and retention, reduced employee morale, productivity issues and legal entanglements,” said Brian Wood, Director and Cloud Advocate at Teradata. “In the past, DR required an additional – largely underutilized – physical system, which was often expensive or resulted in poor ROI. With Disaster Recovery as a Service, Teradata is filling the gap by providing a solution in the cloud that is much more cost effective due to the separation of compute and storage: the compute resources are off whenever they are not used – which is essentially always – and only spun up when needed.”
Teradata is making it easy for its large installed base of on-premises customers to leverage the cloud while extending the usefulness and ROI of their physical systems. Customers get the most value out of previous investments by continuing to use what they already own – as well as take steps into the cloud with hybrid cloud offers such as this one, which span both on-premises and cloud.
In addition, Teradata’s DRaaS uses the same advocated backup and restore (BAR) infrastructure that customers use on-premises. This means there is no additional infrastructure to buy or learn, which makes the solution plug-n-play. On-premises customers simply change the destination location of daily/weekly disaster recovery backups to Teradata-managed cloud object storage, either Amazon S3 or Azure Blob.
Availability
Teradata Disaster Recovery as a Service is now available using AWS or Azure infrastructure in most AWS and Azure regions globally. Similar capability using Google Cloud Platform infrastructure is planned for introduction in 2021. Customers seeking an even more comprehensive, turnkey DRaaS offer should consider Teradata’s Managed Disaster Recovery options.